bcks/#30DayMapChallenge.csv

## #30DayMapChallenge.csv
id,conversation_id,created_at,date,time,timezone,user_id,username,name,place,tweet,mentions,urls,photos,replies_count,retweets_count,likes_count,hashtags,cashtags,link,retweet,quote_url,video,near,geo,source,user_rt_id,user_rt,retweet_id,reply_to,retweet_date
1200809611835707392,1192855827272675329,1575130296000,2019-11-30,11:11:36,EST,1192848641771393027,colmixe,Colmix,,"Día 30: Hogar / Tëk'äm

¿Y cómo no pensar en el territorio y las comunidades mixes sin pensar en la música?

El título de la obra musical es el título del mapa ¿Sabes cuál es?

#30daymapchallenge pic.twitter.com/RoiBym0ahe",[],[],['https://pbs.twimg.com/media/EKoh5_fWwAUNXMl.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/Colmixe/status/1200809611835707392,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1200807377500545024,1200807377500545024,1575129763000,2019-11-30,11:02:43,EST,2198358416,tjukanov,Topi Tjukanov,,"If I would like to do some analysis and collect basic statistics for the #30DayMapChallenge hashtag, what are my best options? Number of tweets, likes, unique users, geography etc.",[],[],[],2,1,3,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1200807377500545024,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1200802121035042816,1200802121035042816,1575128510000,2019-11-30,10:41:50,EST,97729765,cruizch,Carlos Ruiz,,Aprendizaje red neuronal destinos viajes MiBici por género / Neural network learning from bike rides by gender #30DayMapChallenge #Experimental pic.twitter.com/JtGLqsym5J,[],[],['https://pbs.twimg.com/media/EKobJn_VUAAg5x_.jpg'],0,0,0,"['#30daymapchallenge', '#experimental']",[],https://twitter.com/cruizch/status/1200802121035042816,False,,0,,,,,,,"[{'user_id': '97729765', 'username': 'cruizch'}]",
1200800872172859396,1200800872172859396,1575128212000,2019-11-30,10:36:52,EST,14130929,ttso,Tuija Sonkkila,"Helsinki, Finland","Warm 👋 to all of you #30DayMapChallenge folks, it was a pleasure. Special greetings to @aschiff @Grisoudre @hrbrmstr @zentree for your #rstats code to look up to. And @tjukanov - you have that special gift to engage people. Much appreciated🌍","['aschiff', 'grisoudre', 'hrbrmstr', 'zentree', 'tjukanov']",[],[],1,1,2,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/ttso/status/1200800872172859396,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '14806596', 'username': 'aschiff'}, {'user_id': '474145944', 'username': 'Grisoudre'}, {'user_id': '5685812', 'username': 'hrbrmstr'}, {'user_id': '12306', 'username': 'zentree'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200797575466627072,1200797575466627072,1575127426000,2019-11-30,10:23:46,EST,2911550919,philpierdo,Philip Pierdomenico,,"For the final #30DayMapChallenge
I live in Philadelphia now, but home will always be where I grew up in the suburbs of northern Delaware. Here's a map of where I lived, went to school, and worked for many years before moving on to the big city.
Thx @tjukanov pic.twitter.com/WHrFN7zWZk",['tjukanov'],[],['https://pbs.twimg.com/media/EKoXBPSWsAclPIW.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/PhilPierdo/status/1200797575466627072,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200796202440298497,1200796202440298497,1575127099000,2019-11-30,10:18:19,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 30. Home

Last map with our ampelographic collection, for the preservation of rare regional grapevine varieties.

Congratulations and many thanks to all #30DayMapChallenge folks ! pic.twitter.com/ttFcVjW72k",[],[],['https://pbs.twimg.com/media/EKoVtY7WwAATTvp.jpg'],0,0,5,"['#30daymapchallenge', '#30daymapchallenge']",[],https://twitter.com/lacxrx/status/1200796202440298497,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1200795761971286019,1200795761971286019,1575126994000,2019-11-30,10:16:34,EST,730671321965854721,jsoksanen,Juha Oksanen,,Sweetest fruit of #30daymapchallenge - excellent github repo of @jwoLondon containing all maps he prepared for the challenge. Have a look and learn!   https://github.com/jwoLondon/30dayMapChallenge … #geoportti @aka_firi #cartographicsocietyoffinland,"['jwolondon', 'aka_firi']",['https://github.com/jwoLondon/30dayMapChallenge'],[],0,0,1,"['#30daymapchallenge', '#geoportti', '#cartographicsocietyoffinland']",[],https://twitter.com/jsoksanen/status/1200795761971286019,False,,0,,,,,,,"[{'user_id': '730671321965854721', 'username': 'jsoksanen'}, {'user_id': '43953969', 'username': 'jwoLondon'}, {'user_id': '933288818748387328', 'username': 'aka_firi'}]",
1200795340053647360,1200794632940113921,1575126893000,2019-11-30,10:14:53,EST,2198358416,tjukanov,Topi Tjukanov,,"Might not be the most amazing looking map I've posted for #30DayMapChallenge, but just tried out #Potree for the fist time and holy craps this is cool!

Open source point cloud visualization taken totally to the next level. Awesome @m_schuetz!

Potree -->  http://potree.org/index.html ","['maanmittaus', 'm_schuetz']",['http://potree.org/index.html'],[],0,0,3,"['#30daymapchallenge', '#potree']",[],https://twitter.com/tjukanov/status/1200795340053647360,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}, {'user_id': '466680758', 'username': 'm_schuetz'}]",
1200794632940113921,1200794632940113921,1575126724000,2019-11-30,10:12:04,EST,2198358416,tjukanov,Topi Tjukanov,,My Helsinki from @Maanmittaus point cloud. Last one for #30DayMapChallenge: Home. pic.twitter.com/GMro9gnqOY,['maanmittaus'],[],['https://pbs.twimg.com/media/EKoUSDUWoAA8aKD.jpg'],1,0,11,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1200794632940113921,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}]",
1200785509011906561,1200785509011906561,1575124549000,2019-11-30,09:35:49,EST,14130929,ttso,Tuija Sonkkila,,"#30DayMapChallenge Day 30: #Home is where the heart is, they say. Big chunks of mine are in Corcovado NP, Costa Rica & in Danum Valley, Malesian Borneo. But Helsinki is where I live, and it's good. At 2pm the sun is already low. DEM10 @fgi_nls Code  https://github.com/tts/mapchallenge/blob/master/home.R … #Rstats pic.twitter.com/7dseHx0hav",['fgi_nls'],['https://github.com/tts/mapchallenge/blob/master/home.R'],['https://pbs.twimg.com/media/EKoJzBbXsAE7NBy.jpg'],0,2,2,"['#30daymapchallenge', '#home', '#rstats']",[],https://twitter.com/ttso/status/1200785509011906561,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '3021239482', 'username': 'fgi_nls'}]",
1200778941780414469,1200778941780414469,1575122983000,2019-11-30,09:09:43,EST,2300614526,pachamaltese,Pachá 帕夏,,"#30DayMapChallenge here are some shapes to work with chilean cities in #rstats, under normality I would have completed the challenge https://github.com/pachamaltese/chilemaps …",[],['https://github.com/pachamaltese/chilemaps'],[],0,2,2,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/pachamaltese/status/1200778941780414469,False,,0,,,,,,,"[{'user_id': '2300614526', 'username': 'pachamaltese'}]",
1200775308460331009,1200775308460331009,1575122117000,2019-11-30,08:55:17,EST,5685812,hrbrmstr,boB Rudis,,"For the final #30DayMapChallenge — ""Home"" — I looked at those w/o a 🏚 in 🇺🇸 using data from @USICHgov as this is one of the most (literally) overlooked populations.

#rstats {sf} {geofacet} {albersusa} {ggplot2}

Code up in a bit + 2 chapters done so far for the promised 📗! pic.twitter.com/eTF6MZTvKX",['usichgov'],[],"['https://pbs.twimg.com/media/EKoCxUfXYAkwazl.jpg', 'https://pbs.twimg.com/media/EKoCxUfW4AARgqX.jpg']",0,5,21,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1200775308460331009,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}, {'user_id': '277160419', 'username': 'USICHgov'}]",
1200774732619993097,1200774732619993097,1575121980000,2019-11-30,08:53:00,EST,276280627,pnelson917,Patrick Nelson,,Day 30 of the #30DayMapChallenge :  Home…The home neighborhood I attempt to keep complete and up to date in @OpenStreetMap and 30 days complete!  #IMNOS pic.twitter.com/IhcGnqvptv,['openstreetmap'],[],['https://pbs.twimg.com/media/EJqmEbCWoAISi6w.jpg'],0,0,3,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1200774732619993097,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1200774693973680128,1200774693973680128,1575121971000,2019-11-30,08:52:51,EST,105407287,saint_gis,SRG,,@tjukanov #30DayMapChallenge Day 30-Home - Night Shelters for #Homeless #Chennai @opencity_in @chennaicorp @openstreetmap using #fme @SafeSoftware @qgis pic.twitter.com/CfCOjJQVzG,"['tjukanov', 'opencity_in', 'chennaicorp', 'openstreetmap', 'safesoftware', 'qgis']",[],['https://pbs.twimg.com/media/EKoCHnrU8AEVc1e.jpg'],0,0,0,"['#30daymapchallenge', '#homeless', '#chennai', '#fme']",[],https://twitter.com/Saint_GIS/status/1200774693973680128,False,,0,,,,,,,"[{'user_id': '105407287', 'username': 'Saint_GIS'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '794044135816589313', 'username': 'opencity_in'}, {'user_id': '82821040', 'username': 'chennaicorp'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '18857808', 'username': 'SafeSoftware'}, {'user_id': '271327412', 'username': 'qgis'}]",
1200773104143917057,1200773104143917057,1575121591000,2019-11-30,08:46:31,EST,2574612668,hireuter,hannes reuter,,#30DayMapChallenge 30. Home - A selection of EU Institutions buildings in Europe -info:  https://europa.eu/!WC66YJ  Worldwide EEAS:  https://europa.eu/!Nq69tb  contributions by @EU_Eurostat E4 #GISCO Team - 0days2go - We are done! Thx2 @tjukanov for organising the challenge pic.twitter.com/fBlN5o3cDg,"['eu_eurostat', 'tjukanov']","['https://europa.eu/!WC66YJ', 'https://europa.eu/!Nq69tb']",['https://pbs.twimg.com/media/EKjBkrgXkAELGfi.jpg'],0,0,6,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1200773104143917057,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200762091264708609,1200762088131645440,1575118966000,2019-11-30,08:02:46,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"HAP doesn't provide secure homes, is often insufficient or hard to get landlords to take, and is a direct transfer of public money to fund a dysfunctional PRS with inadequate tenant rights. So really it's a #30DayMapChallenge arguing for building public homes 🧐",[],[],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1200762091264708609,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1200762088131645440,1200762088131645440,1575118965000,2019-11-30,08:02:45,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"Ending #30DayMapChallenge, here's day 30, home. I thought about this one for a while and want to take the opportunity to highlight Irish Housing Assistance Payment data - these households need homes, not to be 'housing need met' by state funding of private rental #housingforall pic.twitter.com/LZeGdZVMbl",[],[],"['https://pbs.twimg.com/media/EKn2vhYX0AIp5Ez.jpg', 'https://pbs.twimg.com/media/EKn2vhXX0AAQiZ8.jpg']",1,1,4,"['#30daymapchallenge', '#housingforall']",[],https://twitter.com/niclochg/status/1200762088131645440,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1200761409254113280,1200761409254113280,1575118803000,2019-11-30,08:00:03,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 30. Home - buildings of Tartu by their footprint elevation above the sea level and color schema 🇪🇪🇪🇪🇪🇪 because Estonian-language university celebrates its 100th anniversary today 😊 @unitartu Happy anniversary! 😀 pic.twitter.com/jYkduyja17,['unitartu'],[],['https://pbs.twimg.com/media/EKn2ISFW4AEGNjq.jpg'],0,0,12,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1200761409254113280,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}, {'user_id': '54844712', 'username': 'unitartu'}]",
1200760617533083648,1200760617533083648,1575118614000,2019-11-30,07:56:54,EST,34737662,positium,Positium,,"The final day!
Day 30 of the #30DayMapChallenge launched by @tjukanov (home): this map shows countries where Positium's employees have lived vs countries where there have been major political protests in recent months.
#maps #home #protests pic.twitter.com/vT0JY7sJEa",['tjukanov'],[],['https://pbs.twimg.com/media/EKn1Z-UWkAEUZkF.jpg'],0,1,4,"['#30daymapchallenge', '#maps', '#home', '#protests']",[],https://twitter.com/positium/status/1200760617533083648,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200758583673135104,1200758583673135104,1575118130000,2019-11-30,07:48:50,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,A day late 😪 with this experimental #30DayMapChallenge map of Irish Times 'Priced out' property coverage BUT to be fair I've been trying to find a good way to nail explaining these maps on and off for about a year so it's very experimental altogether... More detail below -1/3 pic.twitter.com/J4LlTlubHM,[],[],[],1,1,0,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1200758583673135104,False,,1,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1200757855776673792,1200757855776673792,1575117956000,2019-11-30,07:45:56,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 30: Home
The 30day challenge has been a blast, I really enjoyed pushing myself and learning, but mostly being inspired by all the amazing maps and ideas people have shared. Thanks everyone pic.twitter.com/MxKp1dhWJV",[],[],['https://pbs.twimg.com/media/EKnysiQUYAIy-jo.jpg'],1,0,10,['#30daymapchallenge'],[],https://twitter.com/Generally_Geo/status/1200757855776673792,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}]",
1200757042216079362,1200744604125089793,1575117762000,2019-11-30,07:42:42,EST,760094405369946112,hansakwast,Hans van der Kwast,,Thanks for the initiative for the #30DayMapChallenge @tjukanov! It was great to see the creativity and I learned a lot. Next year again?,['tjukanov'],[],[],1,0,6,['#30daymapchallenge'],[],https://twitter.com/hansakwast/status/1200757042216079362,False,,0,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200752358487207936,1200752358487207936,1575116645000,2019-11-30,07:24:05,EST,3302833893,drawingdata,Flooh Perlot,,"#30DayMapChallenge Day 29: Experimental

Experimenting what different projections from the  https://github.com/d3/d3-geo-projection … package do to a simple map of Austria (without any adjustments) pic.twitter.com/u7eNqhcZvC",[],['https://github.com/d3/d3-geo-projection'],[],1,3,17,['#30daymapchallenge'],[],https://twitter.com/drawingdata/status/1200752358487207936,False,,1,,,,,,,"[{'user_id': '3302833893', 'username': 'drawingdata'}]",
1200751337102659584,1200751337102659584,1575116402000,2019-11-30,07:20:02,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,Thanks for initiating #30DayMapChallenge @tjukanov - wonderful experience getting to know many talented people over the last 30 days 🏆 pic.twitter.com/dzPaBYOA8O,['tjukanov'],[],['https://pbs.twimg.com/media/EKns9fAUcAEcaeM.jpg'],1,3,16,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1200751337102659584,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200751063265099777,1200751063265099777,1575116337000,2019-11-30,07:18:57,EST,41566604,pierrebrt,Pierre Breteau,,"Bon, ce #30DayMapChallenge est une demi-victoire (ou un demi-échec), puisque j'émarge tristement à 18 cartes sur 30. Pour celles et ceux qui aiment à la fois les globes, les graphes, le post-punk et les hexagones, tout est dans ce fil de tweets. https://twitter.com/pierrebrt/status/1199326199195021312 …",[],['https://twitter.com/pierrebrt/status/1199326199195021312'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/pierrebrt/status/1200751063265099777,False,https://twitter.com/pierrebrt/status/1199326199195021312,0,,,,,,,"[{'user_id': '41566604', 'username': 'pierrebrt'}]",
1200748198937022464,1200748198937022464,1575115654000,2019-11-30,07:07:34,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,That's my hometown with suburb labels in Tamil for the #30DayMapChallenge pic.twitter.com/xl9W2eQM6d,[],[],['https://pbs.twimg.com/media/EKnqHiIUUAMqoss.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1200748198937022464,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}]",
1200744604125089793,1200744604125089793,1575114797000,2019-11-30,06:53:17,EST,760094405369946112,hansakwast,Hans van der Kwast,,"Last day #30DayMapChallenge, Day 30: Home. ""Cool"" district in the center of #Rotterdam where I live. #Coolsingel #Koopgoot #Westblaak #Lijnbaan #WTC. #opendata: 25 cm orthophoto draped over 50 cm #LIDAR based #DSM #AHN3 from @PDOK_online. Software: #QGIS with #Qgis2threejs plugin pic.twitter.com/HsQPX2Q6hn",['pdok_online'],[],[],2,1,11,"['#30daymapchallenge', '#rotterdam', '#coolsingel', '#koopgoot', '#westblaak', '#lijnbaan', '#wtc', '#opendata', '#lidar', '#dsm', '#ahn3', '#qgis', '#qgis2threejs']",[],https://twitter.com/hansakwast/status/1200744604125089793,False,,1,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}, {'user_id': '390125686', 'username': 'PDOK_online'}]",
1200741827562921984,1200741827562921984,1575114135000,2019-11-30,06:42:15,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
Día 30: Home
Aquí está el hogar de más de 8.000 #mapas que podéis consultar desde vuestra casa. Gracias a quienes me habéis seguido estos días temáticos y de mi particular visión de la #Cartografía del Archivo General de #Simancas
 http://www.mcu.es/ccbae/es/mapas/principal.cmd … pic.twitter.com/QEhBG9RPz9",[],['http://www.mcu.es/ccbae/es/mapas/principal.cmd'],"['https://pbs.twimg.com/media/EKnkSFqXYAAlc-J.jpg', 'https://pbs.twimg.com/media/EKnkTJBWkAAaRcC.jpg', 'https://pbs.twimg.com/media/EKnkUeCW4AcghSn.jpg']",0,5,4,"['#30daymapchallenge', '#mapas', '#cartografía', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1200741827562921984,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1200741558271778816,1200741558271778816,1575114070000,2019-11-30,06:41:10,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day 30: Home.  Not an home made map, thanks @IGNrando to make my hicking projects possible. Home is definitely where the heart is. pic.twitter.com/tRawbVZxXp",['ignrando'],[],['https://pbs.twimg.com/media/EKnkEyVXUAAwFJj.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1200741558271778816,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}, {'user_id': '278050486', 'username': 'IGNrando'}]",
1200740060464844800,1200740060464844800,1575113713000,2019-11-30,06:35:13,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 30: mājas. Pēc 29 kartēm bišķi jāiziet ārā, tāpēc pēdējo karti, tīrot māju, zīmē mājās palikušais robots. Arī mājiņu uzzīmējis. pic.twitter.com/Q6IhTdtoS7",[],[],['https://pbs.twimg.com/media/EKnittaWkAEHcS7.jpg'],1,0,4,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1200740060464844800,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1200738815918387200,1200738815918387200,1575113417000,2019-11-30,06:30:17,EST,148416612,moralosita,Angelita,,@DiabolusBirotae dale una mirada a #30DayMapChallenge https://twitter.com/jwoLondon/status/1199632156961714176 …,['diabolusbirotae'],['https://twitter.com/jwoLondon/status/1199632156961714176'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/Moralosita/status/1200738815918387200,False,https://twitter.com/jwoLondon/status/1199632156961714176,0,,,,,,,"[{'user_id': '148416612', 'username': 'Moralosita'}, {'user_id': '304991709', 'username': 'DiabolusBirotae'}]",
1200738475450011649,1200738475450011649,1575113335000,2019-11-30,06:28:55,EST,393905106,iservia,Ignasi Servià,,"#30daymapchallenge Finished!!!

Thank You @tjukanov

30 days sharing maps made for years, some new.

🗺️🗺️ Maps with @Esri, @HexGeospatial, @qgis

I have shared a related post @iagua. the last tweet for the entry
My water #30DayMapChallenge
 https://www.iagua.es/blogs/ignasi-servia-goixart/my-water-30daymapchallenge … pic.twitter.com/Zbt7ymssRC","['tjukanov', 'esri', 'hexgeospatial', 'qgis', 'iagua']",['https://www.iagua.es/blogs/ignasi-servia-goixart/my-water-30daymapchallenge'],"['https://pbs.twimg.com/media/EKnhRAJX0AE6Gtp.jpg', 'https://pbs.twimg.com/media/EKnhRAKW4AAq5x1.jpg', 'https://pbs.twimg.com/media/EKnhRAKWwAAN8m8.jpg', 'https://pbs.twimg.com/media/EKnhRAMXYAAzXgQ.jpg']",2,0,6,"['#30daymapchallenge', '#30daymapchallenge']",[],https://twitter.com/iservia/status/1200738475450011649,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '16132791', 'username': 'Esri'}, {'user_id': '17373869', 'username': 'HexGeospatial'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '14786159', 'username': 'iAgua'}, {'user_id': '85864069', 'username': 'amaceira'}, {'user_id': '63806513', 'username': 'Agustikablanc'}, {'user_id': '69918773', 'username': 'Gerardathletics'}, {'user_id': '3006610708', 'username': 'MariaIntergraph'}, {'user_id': '43953969', 'username': 'jwoLondon'}, {'user_id': '153718180', 'username': 'CraigTaylorGIS'}, {'user_id': '1489788414', 'username': 'actig'}, {'user_id': '1147968866229923841', 'username': 'AlexEscolaAg'}, {'user_id': '825324048', 'username': 'perebai4'}]",
1200734458137038848,1200734458137038848,1575112378000,2019-11-30,06:12:58,EST,105407287,saint_gis,SRG,,"@tjukanov #30DayMapChallenge Day 29-Experimental
@openstreetmap #Data as of 2019-11-26T21:18:03Z Water bodies for #TamilNadu State replaced with bounding box and random color assigned using #fme @SafeSoftware
visualized @googleearth pic.twitter.com/BEzvV23VzN","['tjukanov', 'openstreetmap', 'safesoftware', 'googleearth']",[],['https://pbs.twimg.com/media/EKndl4DUEAAgBRP.jpg'],0,0,0,"['#30daymapchallenge', '#data', '#tamilnadu', '#fme']",[],https://twitter.com/Saint_GIS/status/1200734458137038848,False,,0,,,,,,,"[{'user_id': '105407287', 'username': 'Saint_GIS'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '18857808', 'username': 'SafeSoftware'}, {'user_id': '31285982', 'username': 'googleearth'}]",
1200733713279127552,1200733713279127552,1575112200000,2019-11-30,06:10:00,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge 30. Home

Last but not least: we have called a few different places our 'home' so far. On this map you can see all our HQ's in Amsterdam, plus a brief timeline of our history. 🏡

Interactive 👉🏻 https://t.localfocus.nl/?7155f38  pic.twitter.com/L5p9DTOWky",[],['https://t.localfocus.nl/?7155f38'],['https://pbs.twimg.com/media/EKeLH1xW4AEF2uE.jpg'],1,2,2,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1200733713279127552,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1200723801958440960,1200723801958440960,1575109837000,2019-11-30,05:30:37,EST,393905106,iservia,Ignasi Servià,,"#30daymapchallenge
Map_30 Home.

MDE 2x2 sobre riera Mas Pujols.

El post @iagua no podia ser otro
El agua de tu ciudad, Sol Cambrils Park.
 https://www.iagua.es/blogs/ignasi-servia/agua-tu-ciudad-sol-cambrils-park …

Ayer, 40 días después de las inundaciones, llegó la luz a los apartamentos. pic.twitter.com/5FRMHIrFkj",['iagua'],['https://www.iagua.es/blogs/ignasi-servia/agua-tu-ciudad-sol-cambrils-park'],['https://pbs.twimg.com/media/EKnT6NLWoAA-dVS.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1200723801958440960,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}]",
1200723747826786305,1200723747826786305,1575109824000,2019-11-30,05:30:24,EST,140068360,geomniuk,GeomniUK,,"Day 30 of the #30DayMapChallenge - Homes

Last but not least, a map showing Victorian homes in three of the UK's major cities - London, Liverpool and Cardiff.

The maps give a good indication of the expansion from Early Victorian (dark red) to Late Victorian (orange). pic.twitter.com/gnU834h1kt",[],[],"['https://pbs.twimg.com/media/EKnT4V9W4AAmbl1.jpg', 'https://pbs.twimg.com/media/EKnT4YnWoAEAeUX.jpg', 'https://pbs.twimg.com/media/EKnT4c7WoAARUZy.jpg']",0,0,0,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1200723747826786305,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1200723066407571456,1200723066407571456,1575109662000,2019-11-30,05:27:42,EST,874597331424993281,gis_manipulator,The Spatial Data Manipulator,,"Last day of the #30DayMapChallenge and I made a map of Leeds, UK. The current city where I live and am studying for my undergraduate degree😎. pic.twitter.com/RWmzecJVTm",[],[],['https://pbs.twimg.com/media/EKnTP-oWkAArkEH.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/GIS_Manipulator/status/1200723066407571456,False,,0,,,,,,,"[{'user_id': '874597331424993281', 'username': 'GIS_Manipulator'}]",
1200721024423284737,1200721024423284737,1575109175000,2019-11-30,05:19:35,EST,393905106,iservia,Ignasi Servià,,"#30daymapchallenge
Map_29 #Experimental.

Mapa ensayo de variedades de maíz  de 2018 🌽
#Tecnifield

Hoy comparto 2 últimos posts @iagua

Y si en Canal d'URgell dejara de producir maiz?
 https://www.iagua.es/blogs/ignasi-servia-goixart/y-si-canal-durgell-dejara-producir-maiz …

El final del tunel de la Agricultura 4.0
 https://www.iagua.es/blogs/ignasi-servia-goixart/final-tunel-agricultura-40 … pic.twitter.com/M7KNLQfER3",['iagua'],"['https://www.iagua.es/blogs/ignasi-servia-goixart/y-si-canal-durgell-dejara-producir-maiz', 'https://www.iagua.es/blogs/ignasi-servia-goixart/final-tunel-agricultura-40']",['https://pbs.twimg.com/media/EKnRY55W4AAti6Z.jpg'],0,0,2,"['#30daymapchallenge', '#experimental', '#tecnifield']",[],https://twitter.com/iservia/status/1200721024423284737,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}, {'user_id': '3639517039', 'username': 'DEKALB_ES'}, {'user_id': '1858511011', 'username': 'Freixesfont'}, {'user_id': '342049686', 'username': 'nachobanuls'}, {'user_id': '1045542710', 'username': 'Ricaramunt'}]",
1200719871044194305,1200719871044194305,1575108900000,2019-11-30,05:15:00,EST,1499547780,heikkivesanto,Heikki Vesanto,,Home is where the heart is. Thanks for the hearts. #30days30maps #love #30DayMapChallenge #Day30 #Home pic.twitter.com/1hKwT22xFF,[],[],['https://pbs.twimg.com/media/EKfsuqKWkAEQ7th.jpg'],0,0,6,"['#30days30maps', '#love', '#30daymapchallenge', '#day30', '#home']",[],https://twitter.com/HeikkiVesanto/status/1200719871044194305,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1200715792687550465,1200715792687550465,1575107927000,2019-11-30,04:58:47,EST,3552542476,sannajokela1,Sanna Jokela,,#30DayMapChallenge Day 30. Home. Done🥳. This was exhausting but fun :) Here is my home. Home is a place to relax and work. And during the summers I try to maintain the garden. The map is a revision of my garden map posted earlier this year. Some things have changed since then :) pic.twitter.com/9JCcUzXgCK,[],[],['https://pbs.twimg.com/media/EKnMoiRW4AEd7Nu.jpg'],0,0,9,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1200715792687550465,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}]",
1200712408479567872,1200712408479567872,1575107120000,2019-11-30,04:45:20,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 29: Experimental
played with the lego style but fixed my draw order in #QGIS so it looks like the higher blocks are stacked. Also learn not to use map units with the drop shadow as it slowed the rendering down, but mm was very quick. pic.twitter.com/GEdaTLLpmS",[],[],['https://pbs.twimg.com/media/EKnJVMgVAAARJ2z.jpg'],2,3,33,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/Generally_Geo/status/1200712408479567872,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}]",
1200704496097267712,1200704496097267712,1575105234000,2019-11-30,04:13:54,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland",It’s the last day of the #30DayMapChallenge (and November)! The theme is the final day is #home - so here’s a map of #Glasnevin 🏠 pic.twitter.com/om3Bclki1b,[],[],['https://pbs.twimg.com/media/EKnCXrEWwAEtMdO.jpg'],0,2,11,"['#30daymapchallenge', '#home', '#glasnevin']",[],https://twitter.com/blanky343/status/1200704496097267712,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1200703807048564736,1200703807048564736,1575105070000,2019-11-30,04:11:10,EST,22146490,joriseekhout,Joris Eekhout,,"The last day of the #30DayMapChallenge (home): All the places I've called home.

It was a lot of fun making all these maps. But also useful, exploring new datasets for future research. Most maps were made with #rstats and #ggplot2. Thanks to @tjukanov and all the participants! pic.twitter.com/Gv5dQTuD4l",['tjukanov'],[],['https://pbs.twimg.com/media/EKnBvO6W4AAu1R-.jpg'],0,3,12,"['#30daymapchallenge', '#rstats', '#ggplot2']",[],https://twitter.com/JorisEekhout/status/1200703807048564736,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200701545177911296,1200700283736797184,1575104530000,2019-11-30,04:02:10,EST,2198358416,tjukanov,Topi Tjukanov,,"I was first thinking about Mapvember, but that hashtag was already “taken” so I chose #30DayMapChallenge 😬","['evb221', 'qgisau']",[],[],1,0,6,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1200701545177911296,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '863888213441564672', 'username': 'EVB221'}, {'user_id': '880740604744941569', 'username': 'qgisau'}]",
1200701214213754880,1200701214213754880,1575104452000,2019-11-30,04:00:52,EST,77265423,ijturton,Ian Turton,,"FInal day of #30DayMapChallenge is home, so here's a simple map of all the places I've called home over the years. pic.twitter.com/tKgVzVeSSm",[],[],['https://pbs.twimg.com/media/EKm_YHAWsAAOSWS.jpg'],0,1,10,['#30daymapchallenge'],[],https://twitter.com/ijturton/status/1200701214213754880,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1200695097576300545,1200695097576300545,1575102993000,2019-11-30,03:36:33,EST,153718180,craigtaylorgis,Craig Taylor,,"#30DayMapChallenge Day 30: Home 🏠

This last one is a bit weird! Animated #dataviz of origin-destination commuter flows (census data) into Manchester (closest to home) routed via OSM and made into arcs! 😁 What a fun month!

#maps #3d #animation  pic.twitter.com/QJAOpxFzKq pic.twitter.com/SzqUcw9kRu",[],[],[],1,4,58,"['#30daymapchallenge', '#dataviz', '#maps', '#3d', '#animation']",[],https://twitter.com/CraigTaylorGIS/status/1200695097576300545,False,,1,,,,,,,"[{'user_id': '153718180', 'username': 'CraigTaylorGIS'}]",
1200694162640834560,1200694162640834560,1575102770000,2019-11-30,03:32:50,EST,20668314,kennethfield,Kenneth Field,,"The #30DayMapChallenge has been fascinating. The richness, diversity, consistency, creativity, and sheer quality of the work by @jwoLondon in particular has been wonderful to follow. Absolute top drawer Jo. Thanks for making the effort and sharing! https://twitter.com/jwoLondon/status/1200687935273746432 …",['jwolondon'],['https://twitter.com/jwoLondon/status/1200687935273746432'],[],0,2,9,['#30daymapchallenge'],[],https://twitter.com/kennethfield/status/1200694162640834560,False,https://twitter.com/jwoLondon/status/1200687935273746432,0,,,,,,,"[{'user_id': '20668314', 'username': 'kennethfield'}, {'user_id': '43953969', 'username': 'jwoLondon'}]",
1200691207233589249,1200691207233589249,1575102066000,2019-11-30,03:21:06,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Antwerp, Belgium",#30DayMapChallenge day 30: #home @ equal earth pic.twitter.com/S36KSX9cIM,[],[],['https://pbs.twimg.com/media/EKm2SgbWsAAdBgV.jpg'],1,0,3,"['#30daymapchallenge', '#home']",[],https://twitter.com/michelstuyts/status/1200691207233589249,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}]",
1200689222467887104,1200689222467887104,1575101593000,2019-11-30,03:13:13,EST,138083232,swiss_geoportal,geo.admin.ch,,[EN]  #home of @swiss_geoportal is the geographical  center of switzerland  http://s.geo.admin.ch/85b07b4501   where you find ... a mini #switzerland  ... thanks for @tjukanov  for  coming up with  #30DayMapChallenge pic.twitter.com/fmFyDJ5nCS,"['swiss_geoportal', 'tjukanov']",['http://s.geo.admin.ch/85b07b4501'],['https://pbs.twimg.com/media/EKm0e5nWkAAfXOy.jpg'],1,2,11,"['#home', '#switzerland', '#30daymapchallenge']",[],https://twitter.com/swiss_geoportal/status/1200689222467887104,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200687935273746432,1200687935273746432,1575101286000,2019-11-30,03:08:06,EST,43953969,jwolondon,Jo Wood,,"#30DayMapChallenge completed! 30 Vega-Lite maps created in 30 days. I'll blog later on how the experience has helped shape my practice, but briefly:

Design takes time
Constrained creativity FTW
Sharing👍

Thanks @tjukanov for inspiring so many map creators to share their work. pic.twitter.com/THpQCD0zZ1",['tjukanov'],[],['https://pbs.twimg.com/media/EKmzToHXkAEH7Ae.jpg'],2,10,73,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1200687935273746432,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1200687176712966146,1200687176712966146,1575101105000,2019-11-30,03:05:05,EST,17448121,cadcorp,Cadcorp,,#30DayMapChallenge - Day 30: Home - Average House Price on 2018 sales from @GOVUK Price Paid Data - brighter blue represents below average house price - brighter red represents above average house prices #GIS pic.twitter.com/VWsc7bsg55,['govuk'],[],['https://pbs.twimg.com/media/EKmyn8YWwAAfJ6D.png'],0,6,12,"['#30daymapchallenge', '#gis']",[],https://twitter.com/cadcorp/status/1200687176712966146,False,,0,,,,,,,"[{'user_id': '17448121', 'username': 'cadcorp'}, {'user_id': '17481977', 'username': 'GOVUK'}]",
1200686618186862592,1200686618186862592,1575100972000,2019-11-30,03:02:52,EST,38010177,citizenfishy,Sweary Dave,,#30DayMapChallenge Day 30 - Home.  A hand drawn map of my street from memory. Phew we are done! pic.twitter.com/tzqQCYbTGe,[],[],['https://pbs.twimg.com/media/EKmyGi1XsAAkQB8.jpg'],3,2,21,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1200686618186862592,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1200673257768095744,1200673257768095744,1575097786000,2019-11-30,02:09:46,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Home. Home is mold in Finnish. I looked up everything related to indoor air quality issues from Helsinki decision API and mapped it. Some inconsistencies with the API's own map interface, though 🤨 Data: @helsinki @HelsinkiKymp #30DayMapChallenge #home #sisäilma #päätökset pic.twitter.com/IGhDSYKTB7","['helsinki', 'helsinkikymp']",[],['https://pbs.twimg.com/media/EKml9a_WwAA_Lhj.jpg'],1,0,2,"['#30daymapchallenge', '#home', '#sisäilma', '#päätökset']",[],https://twitter.com/AlsuhailFaris/status/1200673257768095744,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '1114618434', 'username': 'helsinki'}, {'user_id': '430613341', 'username': 'HelsinkiKymp'}]",
1200672055328460800,1200672055328460800,1575097500000,2019-11-30,02:05:00,EST,43953969,jwolondon,Jo Wood,,"Day 30: Home

What does 'home' mean to me? Many places, many people and many activities that give me the comfort of belonging.

I tried to capture the November light of my view of the Langdale and Consiton fells.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d30Home.md …
#30DayMapChallenge pic.twitter.com/LGbdtAvK8U",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d30Home.md'],['https://pbs.twimg.com/media/EKmk3j6WwAA-__5.jpg'],1,2,21,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1200672055328460800,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1200671399125438464,1200671399125438464,1575097343000,2019-11-30,02:02:23,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day30 #home #TheEnd of #30DayMapChallenge THX to @tjukanov THX di #like #heart #followers #gistips THX to @qgis @LeafletJS @postgis @WordPress for all my small works @gis_tonic #Milano pic.twitter.com/cwzjpUiAOY,"['tjukanov', 'qgis', 'leafletjs', 'postgis', 'wordpress', 'gis_tonic']",[],['https://pbs.twimg.com/media/EKmkRTDXUAAXA4i.jpg'],0,2,5,"['#home', '#theend', '#30daymapchallenge', '#like', '#heart', '#followers', '#gistips', '#milano']",[],https://twitter.com/pj_go_2020/status/1200671399125438464,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '194562818', 'username': 'LeafletJS'}, {'user_id': '126370460', 'username': 'postgis'}, {'user_id': '685513', 'username': 'WordPress'}, {'user_id': '837408517938085890', 'username': 'gis_tonic'}]",
1200668673637142528,1200665920168837120,1575096693000,2019-11-30,01:51:33,EST,3346807874,emmavitz,Emma Vitz,,"Thanks for following along the #30DayMapChallenge! I learned:
- how to animate maps
- how to add images to maps
- how to combine vector, raster and point data together in ggplot2
But most of all that making 27 maps in 30 days (I missed 3) is an absolute mission 😆😴💤",[],[],[],1,1,24,['#30daymapchallenge'],[],https://twitter.com/EmmaVitz/status/1200668673637142528,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1200666992090370048,1200666992090370048,1575096292000,2019-11-30,01:44:52,EST,880740604744941569,qgisau,QGIS Australia,,"Well done all #30DayMapChallenge folks. Whether you were a #QGIS mapper or other flavour, whether you did every day or just whatever you could. You were amazing and it was a pleasure to watch, thanks for the awesome maps 👍",[],[],[],0,3,38,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/qgisau/status/1200666992090370048,False,,0,,,,,,,"[{'user_id': '880740604744941569', 'username': 'qgisau'}]",
1200665920168837120,1200665920168837120,1575096037000,2019-11-30,01:40:37,EST,3346807874,emmavitz,Emma Vitz,,"Day 30 of the #30DayMapChallenge - holy shit you guys I did it! The last theme is Home, and here a snapshot of every place I've lived in New Zealand.
I was a couple of weeks old when we moved to NZ, and we lived on Mt Ruapehu (2nd from the top) until the eruption in 1995/1996 pic.twitter.com/XNXxFRw7FR",[],[],['https://pbs.twimg.com/media/EKmfRWAVUAAntpm.jpg'],3,0,42,['#30daymapchallenge'],[],https://twitter.com/EmmaVitz/status/1200665920168837120,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1200657478561751041,1200657478561751041,1575094024000,2019-11-30,01:07:04,EST,359015182,7javier6,Javier,,"#30DayMapChallenge day 29 a comparison between investment in war and investment in research by contry since 1997 @ddiazescandon

Source: Stockholm International Peace Research Institute (@SIPRIorg ) & @UNESCO pic.twitter.com/gX5MVW29L9","['ddiazescandon', 'sipriorg', 'unesco']",[],[],0,4,9,['#30daymapchallenge'],[],https://twitter.com/7Javier6/status/1200657478561751041,False,,1,,,,,,,"[{'user_id': '359015182', 'username': '7Javier6'}, {'user_id': '85232878', 'username': 'ddiazescandon'}, {'user_id': '263083479', 'username': 'SIPRIorg'}, {'user_id': '20646711', 'username': 'UNESCO'}]",
1200657149170339840,1200657149170339840,1575093946000,2019-11-30,01:05:46,EST,165669854,williamscraigm,Craig Williams,,"#30DayMapChallenge Day 29: Experimental. My daughter has a few ""extreme connect the dots"" books and I thought I'd try to make one of my own. Grab a pencil and print it at A0. PDF here:  https://www.arcgis.com/home/item.html?id=ab5401f7110d4f72872198b98e444bfd … pic.twitter.com/lDz7rNLncC",[],['https://www.arcgis.com/home/item.html?id=ab5401f7110d4f72872198b98e444bfd'],['https://pbs.twimg.com/media/EKmXUApUwAEViS6.jpg'],3,6,21,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1200657149170339840,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1200646459831570433,1200646459831570433,1575091397000,2019-11-30,00:23:17,EST,1189776035295961089,jlolarteq,jlOlarteQ,,"#30DayMapChallenge Day29 Experimental. Applying geographical information: looking for the better areas for agricultural activities, considering the slope of the terrain and the type of soil. pic.twitter.com/J18XkyqaAU",[],[],['https://pbs.twimg.com/media/EKmNkvZXkAAhDLB.jpg'],0,5,20,['#30daymapchallenge'],[],https://twitter.com/jlOlarteQ/status/1200646459831570433,False,,0,,,,,,,"[{'user_id': '1189776035295961089', 'username': 'jlOlarteQ'}]",
1200633816764731392,1200595540351672321,1575088383000,2019-11-29,23:33:03,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"I had to manually classify motorways, “A roads” (urban routes, using a dataset I created for my “urban routes” map for day 19 of the #30DayMapChallenge), and “Minor roads” (arterial routes, from the Auckland Unitary Plan)","['simongis', 'arcgispro']",[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1200633816764731392,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}, {'user_id': '27567802', 'username': 'SimonGIS'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}]",
1200628823190052864,1190472318885208064,1575087192000,2019-11-29,23:13:12,EST,237889929,denisedslu,ಠ_ಠ,,"Day 26 of #30DayMapChallenge – Hydrology. Today in Using USGS Swatches Not For Their Original Intent, here’s some ocean uses by fishing in Hawai‘i. pic.twitter.com/Gy5bwMUcUP",[],[],['https://pbs.twimg.com/media/EKl9YrcWoAAAAUl.jpg'],0,1,12,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1200628823190052864,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1200628519794966528,1200628519794966528,1575087120000,2019-11-29,23:12:00,EST,27567802,simongis,Simon Jackson,,"#30DayMapChallenge 30. Home
All roads lead to home.  Unless they don't.
#osm #graphhopper #melbourne pic.twitter.com/i0AKQjg88D",[],[],[],0,3,17,"['#30daymapchallenge', '#osm', '#graphhopper', '#melbourne']",[],https://twitter.com/SimonGIS/status/1200628519794966528,False,,1,,,,,,,"[{'user_id': '27567802', 'username': 'SimonGIS'}]",
1200625837743255552,1200625837743255552,1575086480000,2019-11-29,23:01:20,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 30: Home
'Nuff said! Everyone did great this month on the challenge. Thanks for a fun 30 days!
#gis #geographyteacher #geography #cartography #maps #map #landsat #landsat8 #ohio #arcgis #qgis #environment pic.twitter.com/4pMitBt1Bf",[],[],['https://pbs.twimg.com/media/EKl60LqWkAEHk_T.jpg'],0,0,3,"['#30daymapchallenge', '#gis', '#geographyteacher', '#geography', '#cartography', '#maps', '#map', '#landsat', '#landsat8', '#ohio', '#arcgis', '#qgis', '#environment']",[],https://twitter.com/my_physical/status/1200625837743255552,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1200616793313644545,1191005941547896838,1575084324000,2019-11-29,22:25:24,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge (day 29 / map 29): Coastal vulnerability of #Belize's Placencia peninsula, modelled using the @NatCapProject's #InVEST. The left map shows ~current vulnerability, while the right shows how vulnerable the peninsula would be if all its mangroves were cleared. 🧐 pic.twitter.com/rdi7srsuUx","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity', 'mcsalajan', 'czmaibelize', 'natcapproject']",[],['https://pbs.twimg.com/media/EKlyZAXW4AEsSBZ.jpg'],0,0,1,"['#30daymapchallenge', '#belize', '#invest']",[],https://twitter.com/BZgeo/status/1200616793313644545,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}, {'user_id': '1118190446566694912', 'username': 'mcsalajan'}, {'user_id': '1108813370130616321', 'username': 'CZMAIBelize'}, {'user_id': '475113603', 'username': 'NatCapProject'}, {'user_id': '610952363', 'username': 'NatCapCoalition'}]",
1200610347377283072,1200610347377283072,1575082787000,2019-11-29,21:59:47,EST,4241359336,philmassicotte,Philippe Massicotte,,"For this #30DayMapChallenge #⃣2⃣9⃣ (Experimental), I visualize the locations where the @CanadiensMTL will play. @RDSca Made with #rstats. pic.twitter.com/ad8SlcykIS","['canadiensmtl', 'rdsca']",[],['https://pbs.twimg.com/media/EKlsO2qX0AcWYgX.jpg'],0,1,3,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/philmassicotte/status/1200610347377283072,False,,0,,,,,,,"[{'user_id': '4241359336', 'username': 'philmassicotte'}, {'user_id': '19678937', 'username': 'CanadiensMTL'}, {'user_id': '21818830', 'username': 'RDSca'}]",
1200607207546449920,1200607207546449920,1575082039000,2019-11-29,21:47:19,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 29 #Experimental
🍷Bares, cantinas y similares en la Ciudad de México

(Probando contar puntos por polígono en #QGIS) pic.twitter.com/Z8Vzzb7lWE",[],[],['https://pbs.twimg.com/media/EKlp3fJXsAE5ADO.jpg'],1,2,15,"['#30daymapchallenge', '#experimental', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1200607207546449920,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1200600346835316738,1200595540351672321,1575080403000,2019-11-29,21:20:03,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Finally, my ultimate aim for this is to make it part of a full sized paper map, complete with marginalia and the defining reddish-pink OS Landranger cover.
The work involved in finishing this map off could occupy a whole #30DayMapChallenge in itself!",[],[],[],0,0,4,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1200600346835316738,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1200600311586381825,1200595540351672321,1575080395000,2019-11-29,21:19:55,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"This map is unfinished, but finished enough that it serves its purpose and I'm happy to publish it for the final day of the #30DayMapChallenge.",[],[],[],1,0,0,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1200600311586381825,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1200595540351672321,1200595540351672321,1575079257000,2019-11-29,21:00:57,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 30 of #30DayMapChallenge – Home:

My new home in the style of my old home pic.twitter.com/lQGq7GGwmT",[],[],['https://pbs.twimg.com/media/EKlfA8UVAAAHi4C.jpg'],3,4,21,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1200595540351672321,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1200589250141532162,1200589250141532162,1575077757000,2019-11-29,20:35:57,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 27 - Resources: Different types of biomass management treatments on BLM land in southwestern Oregon (mechanical, chemical, burning, etc.).

(Had a lot of mappers block for this theme🙃) pic.twitter.com/EcNjIps6lz",[],[],[],0,0,3,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1200589250141532162,False,,1,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1200588623768358912,1200588623768358912,1575077608000,2019-11-29,20:33:28,EST,309734801,samwise_v,Sam J,,#30DayMapChallenge Day 29: Experimental. Yet again hardly any time to do anything other than my first quick dabble at lego-esque brick styles pic.twitter.com/Hwmpykcwuy,[],[],['https://pbs.twimg.com/media/EKlY-tfXsAAI2iN.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/samwise_v/status/1200588623768358912,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1200588323741409280,1200588323741409280,1575077536000,2019-11-29,20:32:16,EST,625297031,scottreinhard,Scott Reinhard,,"Inspired by the #30DayMapChallenge, ""Road Widths of Southern Manhattan & Northern Brooklyn""

#gis #qgis #b3d #nyc #newyorkcity #scottreinhardmaps #map #mapping #maps #mapart pic.twitter.com/7aIYuy2okD",[],[],"['https://pbs.twimg.com/media/EKlYqA-WsAA_1Lm.jpg', 'https://pbs.twimg.com/media/EKlYqBAWkAAkHPo.jpg', 'https://pbs.twimg.com/media/EKlYqBAW4AAdi5n.jpg']",2,12,118,"['#30daymapchallenge', '#gis', '#qgis', '#b3d', '#nyc', '#newyorkcity', '#scottreinhardmaps', '#map', '#mapping', '#maps', '#mapart']",[],https://twitter.com/scottreinhard/status/1200588323741409280,False,,0,,,,,,,"[{'user_id': '625297031', 'username': 'scottreinhard'}]",
1200584699539685377,1200581836344188929,1575076672000,2019-11-29,20:17:52,EST,12306,zentree,Luis Apiolaza ⏚,,"This was my last #30DayMapChallenge map. I missed 3 out of the 30 maps: 25 (Climate), 27 (Resources) and 29 (Experimental). I had to compromise as attended the NZ Stats Association Conference most of this week.",['openstreetmap'],[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/zentree/status/1200584699539685377,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1200581836344188929,1200581836344188929,1575075990000,2019-11-29,20:06:30,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 30 of #30DayMapChallenge: home

My homes during the last 25 years: Valdivia (Chile), Palmerston North (NZ), Hobart (Australia) & Christchurch (NZ). Not to scale. @openstreetmap data + #Rstats.

Code:  https://gist.github.com/zentree/7ef5ee3ac613c760fa3246fc668ce725 … pic.twitter.com/2ADCgXY0r4",['openstreetmap'],['https://gist.github.com/zentree/7ef5ee3ac613c760fa3246fc668ce725'],['https://pbs.twimg.com/media/EKlSzaAU8AE2jrd.jpg'],1,0,9,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/zentree/status/1200581836344188929,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1200572132281012231,1200572132281012231,1575073676000,2019-11-29,19:27:56,EST,509842172,agroder,AgroDer,,"La contrastante expansión de los grandes centros urbanos (a través de luces nocturnas) y la dispersión de las poblaciones rurales en México...

#30DayMapChallenge pic.twitter.com/csOHMCJSgq",[],[],['https://pbs.twimg.com/media/EKlJ_RSXsAAIHW2.jpg'],0,4,9,['#30daymapchallenge'],[],https://twitter.com/AgroDer/status/1200572132281012231,False,,0,,,,,,,"[{'user_id': '509842172', 'username': 'AgroDer'}, {'user_id': '972494915606339585', 'username': 'guerrerosvac'}, {'user_id': '1284873889', 'username': 'BosquesMexico'}, {'user_id': '1410463009', 'username': 'buensocio'}, {'user_id': '147734709', 'username': 'ArribaElCampo'}, {'user_id': '969647299218608129', 'username': 'PeninsulaCCMSS'}, {'user_id': '80070942', 'username': 'laminuta'}, {'user_id': '2906356947', 'username': 'FURAmx'}, {'user_id': '3365128154', 'username': 'granosdemexico'}, {'user_id': '862012539491713024', 'username': 'Mexico_TNC'}, {'user_id': '1690548463', 'username': 'telarsocialmx'}]",
1200567687086108673,1200567586334707712,1575072616000,2019-11-29,19:10:16,EST,1146983815,caracevaaa,Sam van der Weerden,,retrospective #30DayMapChallenge for 14: Tracks!,[],[],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/caracevaaa/status/1200567687086108673,False,,0,,,,,,,"[{'user_id': '1146983815', 'username': 'caracevaaa'}]",
1200566141875306496,1200566141875306496,1575072248000,2019-11-29,19:04:08,EST,923519114936832003,paola_barbarbo,Paola Barajas Barbos,,"#mountains are so interesting! even more, if they happen to be volcanos lost in the middle of the ocean. Here some of my work, trying to capture the most topographic complex areas on volcanic #islands :), cheers! #Map #30DayMapChallenge pic.twitter.com/wOgniw2sT8",[],[],['https://pbs.twimg.com/media/EKlEhtiXUAA0wPz.jpg'],0,1,14,"['#mountains', '#islands', '#map', '#30daymapchallenge']",[],https://twitter.com/Paola_barbarbo/status/1200566141875306496,False,,0,,,,,,,"[{'user_id': '923519114936832003', 'username': 'Paola_barbarbo'}]",
1200562248235802626,1200562248235802626,1575071320000,2019-11-29,18:48:40,EST,800277926348324864,arnold_platon,Arnold Platon,,"Belated day 18 of #30DayMapChallenge
""Global... trade"" 📦 : 🇪🇺 vs 🇺🇲 vs 🇨🇳  who's the biggest exporter to your country?

Not my idea, but was inspired by @APHClarkson to redo the map 🗺️ to look at the EU's long trade shadow.

Data via:  https://oec.world/en/  pic.twitter.com/fe5BdM0GaX",['aphclarkson'],['https://oec.world/en/'],['https://pbs.twimg.com/media/EKlA_NlWsAEC74m.jpg'],3,21,32,['#30daymapchallenge'],[],https://twitter.com/Arnold_Platon/status/1200562248235802626,False,,0,,,,,,,"[{'user_id': '800277926348324864', 'username': 'Arnold_Platon'}, {'user_id': '450896622', 'username': 'APHClarkson'}]",
1200559729883222016,1200559729883222016,1575070719000,2019-11-29,18:38:39,EST,886193556,allisoncully,Allison Cully,,"Day 29: Experimental
Here's a favourite place of mine in the map style of #Zelda Breath of the Wild. The font for the Sheikah language is Esri Geology which is the first time I've ever used one of the Esri symbols fonts.
#30DayMapChallenge #ArcGISPro pic.twitter.com/Txr8g9mYiF",[],[],['https://pbs.twimg.com/media/EKk-tEGUcAAIwsK.jpg'],0,0,5,"['#zelda', '#30daymapchallenge', '#arcgispro']",[],https://twitter.com/AllisonCully/status/1200559729883222016,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1200559139350441984,1200559139350441984,1575070578000,2019-11-29,18:36:18,EST,276280627,pnelson917,Patrick Nelson,,"Day 29 of the #30DayMapChallenge :  Experimental…Using tablets for map analysis works great, experimenting on how to make it a little better for wireless network analysis on a regular cell phone and will need a little more work or some smaller fingers. 😀 #IMNOS pic.twitter.com/FytjAK9ZSm",[],[],['https://pbs.twimg.com/media/EKk-K6pU8AENmXK.jpg'],0,0,5,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1200559139350441984,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}]",
1200551572117307392,1200551572117307392,1575068774000,2019-11-29,18:06:14,EST,2239825712,iiegj,IIEG Jalisco,,#30DayMapChallenge Día 29. Experimental. Concentración de NO2 (dióxido de nitrógeno) en la atmósfera sobre el Área Metropolitana de Guadalajara. Captada por el satélite Sentinel 5 de la Agencia Espacial Europea. pic.twitter.com/NCQQA6DsBz,[],[],[],0,1,4,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1200551572117307392,False,,1,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1200544716972003329,1200544716972003329,1575067140000,2019-11-29,17:39:00,EST,138083232,swiss_geoportal,geo.admin.ch,,[EN]  http://test.map.geo.admin.ch  empowers realtime #meteosat weather satellit imagery by @eumetsat to be combined with 700 #swiss federal datasets  https://s.geo.admin.ch/85b07511e9  #30DayMapChallenge #experimental @meteoschweiz pic.twitter.com/s5bKeosIeZ,"['eumetsat', 'meteoschweiz']","['http://test.map.geo.admin.ch', 'https://s.geo.admin.ch/85b07511e9']",['https://pbs.twimg.com/media/EJwjdMWXUAUSj5f.png'],0,1,12,"['#meteosat', '#swiss', '#30daymapchallenge', '#experimental']",[],https://twitter.com/swiss_geoportal/status/1200544716972003329,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '277375017', 'username': 'eumetsat'}, {'user_id': '226994158', 'username': 'meteoschweiz'}]",
1200540488333434887,1200540488333434887,1575066132000,2019-11-29,17:22:12,EST,14992557,gontsa,gontsa,,"Fragment of the Ros river basin.
#30DayMapChallenge
Day 29: Experimental
Data: Alaska Satellite Facility, #OpenStreetMap contributors pic.twitter.com/19nrw1M5OE",[],[],['https://pbs.twimg.com/media/EKktMUsXUAAyf3Q.jpg'],3,4,27,"['#30daymapchallenge', '#openstreetmap']",[],https://twitter.com/gontsa/status/1200540488333434887,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1200536686456913925,1200536686456913925,1575065225000,2019-11-29,17:07:05,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge Day 29: Experimental
the United SHAPES of America
Tools:@ArcGISPro
Really wanted to play w/ blender but no time. I did find ‘Pitch Perfect’ a mapping experiment by @kennethfield
 and thought about mapping NHL areas but settled on the US. I had fun w/ this one. pic.twitter.com/78cRv5ZrzJ","['arcgispro', 'kennethfield']",[],['https://pbs.twimg.com/media/EKkpv9PWkAUVYLH.jpg'],1,3,37,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1200536686456913925,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}, {'user_id': '20668314', 'username': 'kennethfield'}]",
1200534236400431113,1200534236400431113,1575064641000,2019-11-29,16:57:21,EST,257218656,descifra,DESCIFRA,,"Origen-Destino Terminal de Autobuses de Pasajeros de Oriente (TAPO). Datos de #movilidad.
 Day 29: Experimental.
 #30DayMapChallenge
#lovepredictinglocations
#BigData pic.twitter.com/ryvKOpBXWa",[],[],['https://pbs.twimg.com/media/EKknhn3WkAAWoEd.png'],0,4,4,"['#movilidad', '#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1200534236400431113,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1200531521758801920,1200531521758801920,1575063994000,2019-11-29,16:46:34,EST,1191756832458649600,alice_caron_,Alice Caron,,#30DayMapChallenge Day 29: Experimental / 2018 summer trip with an Instagram kaleidoscopic filter pic.twitter.com/UX0CjNApa3,[],[],['https://pbs.twimg.com/media/EKklDQIWoAYHFno.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1200531521758801920,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}]",
1200523823797420032,1200523823797420032,1575062158000,2019-11-29,16:15:58,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 29: Experimental
The borders of #Maryland are, in many places, the result of losing just about every border dispute ever. Here are some of those losses and what the state might look like had it won them..
#Map made in #QGIS 3.8 pic.twitter.com/Szfxspg3gG",[],[],['https://pbs.twimg.com/media/EKkeCwZX0AIJTCw.jpg'],0,3,11,"['#30daymapchallenge', '#maryland', '#map', '#qgis']",[],https://twitter.com/PhilPierdo/status/1200523823797420032,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}]",
1200522989680447488,1200522989680447488,1575061960000,2019-11-29,16:12:40,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 2⃣6⃣ Hydrology:
Major Italian river basins, grouped into 4 classes according to their area (label size follows the same classification).

Source: WFS layer from the Italian National Geoportal ( https://tinyurl.com/wv9r2po )
Map: @qgis pic.twitter.com/VvzUdUq65k",['qgis'],['https://tinyurl.com/wv9r2po'],['https://pbs.twimg.com/media/EKkdSXgWkAEn5j7.jpg'],0,1,13,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1200522989680447488,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '271327412', 'username': 'qgis'}]",
1200515321838354437,1200515321838354437,1575060131000,2019-11-29,15:42:11,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 29. Experimental

Misanthropic anticartogram of European population density

Made with #QGIS pic.twitter.com/gnbOyIlMK6",[],[],['https://pbs.twimg.com/media/EKkWOy5X0AEgX6h.jpg'],2,3,17,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1200515321838354437,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1200514504708087808,1200514504708087808,1575059937000,2019-11-29,15:38:57,EST,358897871,saira_sandoval,Saira Sandoval,,@ge0vann1  Ya viste el: #30DayMapChallenge ?😁,['ge0vann1'],[],[],1,0,2,['#30daymapchallenge'],[],https://twitter.com/saira_sandoval/status/1200514504708087808,False,,0,,,,,,,"[{'user_id': '358897871', 'username': 'saira_sandoval'}, {'user_id': '138861088', 'username': 'ge0vann1'}]",
1200509243821969408,1200509243821969408,1575058682000,2019-11-29,15:18:02,EST,822048926081712128,cchurchili,Carl Churchill,,"#30DayMapChallenge I decided to try out 3D mapping, and what better country to showcase 3D than the rugged #Lesotho.

I've sent a draft to the amazing Lesothan mapper @Tshedy4 so dont be surprised if I post a (heavily) revised version sometime later. pic.twitter.com/k6zHmTGA1V",['tshedy4'],[],['https://pbs.twimg.com/media/EKkQxrzUwAE0hUB.jpg'],0,3,34,"['#30daymapchallenge', '#lesotho']",[],https://twitter.com/Cchurchili/status/1200509243821969408,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}, {'user_id': '624140661', 'username': 'Tshedy4'}]",
1200506454630785024,1200506454630785024,1575058017000,2019-11-29,15:06:57,EST,1129603700652105728,prof__quackers,Professor Quackers,,"An alternative perspective of tornado intensity over the Continental United States; a simple heat map showing tornado density.

#30DayMapChallenge @lillas321 @jesseXjesse  https://twitter.com/Prof__Quackers/status/1200306112135696386 … pic.twitter.com/RdzYxFIJI8","['lillas321', 'jessexjesse']",['https://twitter.com/Prof__Quackers/status/1200306112135696386'],['https://pbs.twimg.com/media/EKkOQBFUUAA0oq1.jpg'],1,2,5,['#30daymapchallenge'],[],https://twitter.com/Prof__Quackers/status/1200506454630785024,False,,0,,,,,,,"[{'user_id': '1129603700652105728', 'username': 'Prof__Quackers'}, {'user_id': '342237660', 'username': 'lillas321'}, {'user_id': '26026131', 'username': 'jesseXjesse'}]",
1200502894082035712,1200502894082035712,1575057168000,2019-11-29,14:52:48,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/1175957958452305920 …",[],['https://twitter.com/LASACONGRESS/status/1175957958452305920'],[],0,2,8,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1200502894082035712,False,https://twitter.com/LASACONGRESS/status/1175957958452305920,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1200499571648028678,1200499571648028678,1575056376000,2019-11-29,14:39:36,EST,14130929,ttso,Tuija Sonkkila,,#30DayMapChallenge Day 29: Experimental. Laser scanning data is intriguing. Thanks to free course material by @CSCfi on the #lidR #Rstats package for forestry applications I looked into a 500x500 m patch of Nuuksio NP. Data by @fgi_nls Notebook:  http://tuijasonkkila.fi/nuuksio.html  pic.twitter.com/9QgcxtZfGn,"['cscfi', 'fgi_nls']",['http://tuijasonkkila.fi/nuuksio.html'],['https://pbs.twimg.com/media/EKkBx1sXYAMeqzL.jpg'],0,1,11,"['#30daymapchallenge', '#lidr', '#rstats']",[],https://twitter.com/ttso/status/1200499571648028678,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '2240385636', 'username': 'CSCfi'}, {'user_id': '3021239482', 'username': 'fgi_nls'}]",
1200496931602083840,1200493693804990464,1575055747000,2019-11-29,14:29:07,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
Day 28: Funny

São Paulo city, cabeça de cachorro
#rstats #magick pic.twitter.com/Y3zWag3Pz7",[],[],[],0,2,3,"['#30daymapchallenge', '#rstats', '#magick']",[],https://twitter.com/SergioIbarraEs1/status/1200496931602083840,False,,1,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1200495379432775685,1200495379432775685,1575055377000,2019-11-29,14:22:57,EST,3302833893,drawingdata,Flooh Perlot,,"#30DayMapChallenge Day 28: Funny

Populated places from Natural Earth and the ratio of vowels and consonants in their (english) name. Yes, Switzerland is very generous. pic.twitter.com/xAklMvDTxQ",[],[],['https://pbs.twimg.com/media/EKkELbIWwAElB6I.jpg'],1,0,7,['#30daymapchallenge'],[],https://twitter.com/drawingdata/status/1200495379432775685,False,,0,,,,,,,"[{'user_id': '3302833893', 'username': 'drawingdata'}]",
1200493693804990464,1200493693804990464,1575054975000,2019-11-29,14:16:15,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
Day 28: Funny

São Paulo city, cabeça de cachorro
#rstats #magick pic.twitter.com/7gCacXQMZr",[],[],['https://pbs.twimg.com/media/EKkCpY_XYAANgdF.jpg'],1,1,3,"['#30daymapchallenge', '#rstats', '#magick']",[],https://twitter.com/SergioIbarraEs1/status/1200493693804990464,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1200489115504070656,1190253562267340800,1575053883000,2019-11-29,13:58:03,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 29 (experimental): All 589 Belgian municipalities mapped on top of each other, variations pic.twitter.com/aurcjfhEts","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper', 'karim_douieb', 'datawrapper']",[],"['https://pbs.twimg.com/media/EKj-a-EXsAAA58F.jpg', 'https://pbs.twimg.com/media/EKj-a-GWwAAuu84.jpg', 'https://pbs.twimg.com/media/EKj-a-EWoAISEAz.jpg', 'https://pbs.twimg.com/media/EKj-a-JWwAc7qP0.jpg']",2,2,18,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1200489115504070656,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}, {'user_id': '2600429268', 'username': 'karim_douieb'}, {'user_id': '500573974', 'username': 'Datawrapper'}]",
1200488411984990217,1190475062362677248,1575053716000,2019-11-29,13:55:16,EST,379176102,daniel_isita,D.,,"24. Statistics
#30DayMapChallenge

Deaths reported by suicide for each state in Mexico in 2018. Jalisco (630), Estado de México (584) and Guanajuato (504) are the entities with the highest number of suicides.
Data from @INEGI_INFORMA
#MentalHealthMatters #mexico #suicide #map pic.twitter.com/IOk1IOZwKU","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina', 'globalforests']",[],['https://pbs.twimg.com/media/EKj90dQW4AAYmJW.jpg'],0,0,4,"['#30daymapchallenge', '#mentalhealthmatters', '#mexico', '#suicide', '#map']",[],https://twitter.com/daniel_isita/status/1200488411984990217,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}, {'user_id': '256573185', 'username': 'globalforests'}]",
1200488022174818305,1200488022174818305,1575053623000,2019-11-29,13:53:43,EST,115544104,arqpablogafi,.pablopablo.,,me gustaría tener el tiempo para entrarle al #30DayMapChallenge tengo muchas ideas para Tulum!,[],[],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/arqpablogafi/status/1200488022174818305,False,,0,,,,,,,"[{'user_id': '115544104', 'username': 'arqpablogafi'}]",
1200487749800857602,1200487749800857602,1575053558000,2019-11-29,13:52:38,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 29: eksperiments. Sagrozīt datus tik ļoti, ka reljefs apgriežas otrādi un dziļākais ezers kļūst par lielākā dziļuma resnu lēkšojošu suņuku. pic.twitter.com/l5e4JYPllr",[],[],['https://pbs.twimg.com/media/EKj9PWtWwAA6I3l.jpg'],1,0,5,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1200487749800857602,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1200482027612577797,1200482027612577797,1575052193000,2019-11-29,13:29:53,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
day 25: Climate
the average monthly temperature from ERA5 in northeast China, December 2016
A bit cold
#rstats #lattice #spplot pic.twitter.com/mMX291IbjH",[],[],['https://pbs.twimg.com/media/EKj4CedWsAEHU8R.png'],0,1,1,"['#30daymapchallenge', '#rstats', '#lattice', '#spplot']",[],https://twitter.com/SergioIbarraEs1/status/1200482027612577797,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1200481996469940226,1178749712566030338,1575052186000,2019-11-29,13:29:46,EST,17492293,rosigerante,Rosigerante 🧙‍♀️,,Alegrías que me dio el internet #5 incluye un texto entrañable de @annapacheco__; mis favoritos del #30DayMapChallenge; un texto de @oja_kodar sobre memes como activismo y uno viejecito de @avebarrera que no sabía que necesitaba https://link.medium.com/eltX0yr701 ,"['annapacheco__', 'oja_kodar', 'avebarrera']",['https://link.medium.com/eltX0yr701'],[],2,2,5,['#30daymapchallenge'],[],https://twitter.com/Rosigerante/status/1200481996469940226,False,,0,,,,,,,"[{'user_id': '17492293', 'username': 'Rosigerante'}, {'user_id': '107480189', 'username': 'annapacheco__'}, {'user_id': '971061264', 'username': 'oja_kodar'}, {'user_id': '186307172', 'username': 'avebarrera'}]",
1200474502779547648,1200474502779547648,1575050399000,2019-11-29,12:59:59,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
day 24: Statistics
mean, min, max and sd of cars traffic flow by age of use on west São Paulo

#rstats #vein pic.twitter.com/9InN9mBW2t",[],[],"['https://pbs.twimg.com/media/EKjxMM9WwAIdV2_.png', 'https://pbs.twimg.com/media/EKjxMM_XkAAMCB4.png', 'https://pbs.twimg.com/media/EKjxMNAW4AYw4uI.png', 'https://pbs.twimg.com/media/EKjxMM_W4AAOGIn.png']",1,1,1,"['#30daymapchallenge', '#rstats', '#vein']",[],https://twitter.com/SergioIbarraEs1/status/1200474502779547648,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1200474252723412993,1200474252723412993,1575050340000,2019-11-29,12:59:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/Juanizio_C/status/1190627953811640321 …",[],['https://twitter.com/Juanizio_C/status/1190627953811640321'],[],0,2,5,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1200474252723412993,False,https://twitter.com/Juanizio_C/status/1190627953811640321,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1200474012540907526,1200474012540907526,1575050282000,2019-11-29,12:58:02,EST,2187485455,cesiumjs,Cesium,,"#30DayMapChallenge 29 - Experimental

This creative app by @cwandt shows the current time with satellite imagery of places resembling numbers. Talk about time dynamic geospatial data!

 http://earthclock.cwandt.com/

Originally built at @fabrica with support from @tamashatheatre pic.twitter.com/HuYdvjsysi","['cwandt', 'fabrica', 'tamashatheatre']",['http://earthclock.cwandt.com/'],"['https://pbs.twimg.com/media/EKjwwDpW4AAOEvg.jpg', 'https://pbs.twimg.com/media/EKjwv-VXsAAR0D4.jpg', 'https://pbs.twimg.com/media/EKjwwCzW4AAVsVo.jpg']",0,2,8,['#30daymapchallenge'],[],https://twitter.com/CesiumJS/status/1200474012540907526,False,,0,,,,,,,"[{'user_id': '2187485455', 'username': 'CesiumJS'}, {'user_id': '102405816', 'username': 'cwandt'}, {'user_id': '9186442', 'username': 'fabrica'}, {'user_id': '115452200', 'username': 'tamashatheatre'}]",
1200472994952491008,1200472994952491008,1575050040000,2019-11-29,12:54:00,EST,261631571,hendrikxleo,Leo,,"Day 29: Experimental #30DayMapChallenge The land of the rising sun 🗾
Data: ALOS Global Digital Surface Model, GEBCO Gridded Bathymetry Data pic.twitter.com/DOto9bLuuv",[],[],"['https://pbs.twimg.com/media/EKjv0axWkAA1XRs.jpg', 'https://pbs.twimg.com/media/EKjv0ayXsAA4qu2.jpg', 'https://pbs.twimg.com/media/EKjv0asWwAMg5TA.jpg', 'https://pbs.twimg.com/media/EKjv0awWsAA3YKW.jpg']",0,0,3,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1200472994952491008,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1200470922240638976,1200470922240638976,1575049546000,2019-11-29,12:45:46,EST,818719251272003584,agroder_intl,AgroDer Intl,,"Rural population in the world has been facing a constant decline since, at least, 1950...
#30dayMapChallenge pic.twitter.com/5EN3irs7cw",[],[],[],0,3,4,['#30daymapchallenge'],[],https://twitter.com/AgroDer_Intl/status/1200470922240638976,False,,1,,,,,,,"[{'user_id': '818719251272003584', 'username': 'AgroDer_Intl'}]",
1200469717347110912,1200469717347110912,1575049258000,2019-11-29,12:40:58,EST,797871767809380352,adibop_,A. D. Mac,,"#30daymapchallenge
30 - home

continuing the love affair with London, here's the building density per 100m grid square of the city that we love. #osm, #alteryx, and #tableau
▶️ https://public.tableau.com/views/LondonCalling/DensityDasharea?:display_count=y&publish=yes&:origin=viz_share_link … pic.twitter.com/cZOy2dlSz3",[],['https://public.tableau.com/views/LondonCalling/DensityDasharea?:display_count=y&publish=yes&:origin=viz_share_link'],['https://pbs.twimg.com/media/EKjs1r0WwAAd0w3.jpg'],0,4,18,"['#30daymapchallenge', '#osm', '#alteryx', '#tableau']",[],https://twitter.com/AdiBop_/status/1200469717347110912,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1200468314218287104,1200468314218287104,1575048924000,2019-11-29,12:35:24,EST,1591318920,kerooksblog,"Anna, Kerook",,"Flood #hazard map in Genova, Liguria (IT)

Day 26: Hydrology
- Data source: Geoportal @RegLiguria for the river network and the official hazard map, @istat_it for Genova boundaries, @ISPRA_Press for DTM, basemap from @openstreetmap
 - Map done with @qgis
#30DayMapChallenge pic.twitter.com/dtE1V0LqBm","['regliguria', 'istat_it', 'ispra_press', 'openstreetmap', 'qgis']",[],['https://pbs.twimg.com/media/EKjrWEDWkAAjL8y.jpg'],0,1,3,"['#hazard', '#30daymapchallenge']",[],https://twitter.com/kerooksblog/status/1200468314218287104,False,,0,,,,,,,"[{'user_id': '1591318920', 'username': 'kerooksblog'}, {'user_id': '242695991', 'username': 'RegLiguria'}, {'user_id': '187515095', 'username': 'istat_it'}, {'user_id': '485766105', 'username': 'ISPRA_Press'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '271327412', 'username': 'qgis'}]",
1200463937281646592,1200463937281646592,1575047880000,2019-11-29,12:18:00,EST,1192265670937006080,joanmanuelcoln1,Joan Manuel Colón,,"#30DayMapChallenge
Experimental
info>
A DSM + DEM +LiDAR + Contours + Linux-Cli + #LibreGIS pic.twitter.com/uCCLF34eRp",[],[],[],0,0,3,"['#30daymapchallenge', '#libregis']",[],https://twitter.com/JoanManuelColn1/status/1200463937281646592,False,,1,,,,,,,"[{'user_id': '1192265670937006080', 'username': 'JoanManuelColn1'}]",
1200461616128638978,1200456550445469696,1575047327000,2019-11-29,12:08:47,EST,2756004123,emu_info,Emu Analytics,,"Day 28 - Happy: this map is showing the % of people that identify as having ""Very High"" levels of happiness in each London borough between 2011 and 2016 (and it's pink! 💗) explore the map here:  https://locationinsights.co.uk/b/jF  #datavisualisation #happiness #30DayMapChallenge pic.twitter.com/FKyumklyYb",[],['https://locationinsights.co.uk/b/jF'],['https://pbs.twimg.com/media/EKjleLXW4AILrAj.jpg'],0,0,3,"['#datavisualisation', '#happiness', '#30daymapchallenge']",[],https://twitter.com/emu_info/status/1200461616128638978,False,,0,,,,,,,"[{'user_id': '2756004123', 'username': 'emu_info'}]",
1200460227671470082,1192855827272675329,1575046996000,2019-11-29,12:03:16,EST,1192848641771393027,colmixe,Colmix,,"Día 29: Experimental / Tanï'ijxy

¿Dónde se ubicaría el sitio que fuera hipotéticamente accesible (en línea recta) a todas las comunidades mixes?
El centro geográfico del territorio mixe está entre los límites de Cotzocón, Chimaltepec y Malacatepec.

#30daymapchallenge pic.twitter.com/p6GdNa52sS",[],[],[],1,0,8,['#30daymapchallenge'],[],https://twitter.com/Colmixe/status/1200460227671470082,False,,1,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1200459095628759040,1200459095628759040,1575046726000,2019-11-29,11:58:46,EST,1167821730599096320,lungu_dia,Diana Lungu,,"By bike through Amsterdam. 🚲🗺️
#30DayMapChallenge #Maps #QGIS #Amsterdam #bike #biketrack #mapslover pic.twitter.com/Y58JhMVSt5",[],[],['https://pbs.twimg.com/media/EKjjJ4HWkAAqMag.jpg'],0,3,18,"['#30daymapchallenge', '#maps', '#qgis', '#amsterdam', '#bike', '#biketrack', '#mapslover']",[],https://twitter.com/Lungu_Dia/status/1200459095628759040,False,,0,,,,,,,"[{'user_id': '1167821730599096320', 'username': 'Lungu_Dia'}]",
1200458182075834369,1200458182075834369,1575046508000,2019-11-29,11:55:08,EST,141981519,tajeewdr,Tajëëw,,"Fans del #LEGO aquí está un mapa especial para que conozcan las naciones sin estado de #Oaxaca
#30DayMapChallenge https://twitter.com/Colmixe/status/1200456082151395329 …",[],['https://twitter.com/Colmixe/status/1200456082151395329'],[],1,21,91,"['#lego', '#oaxaca', '#30daymapchallenge']",[],https://twitter.com/TajeewDR/status/1200458182075834369,False,https://twitter.com/Colmixe/status/1200456082151395329,0,,,,,,,"[{'user_id': '141981519', 'username': 'TajeewDR'}]",
1200456550445469696,1200456550445469696,1575046119000,2019-11-29,11:48:39,EST,2756004123,emu_info,Emu Analytics,,"Sadly, the #30DayMapChallenge is nearing the end 😢Here are our two latest maps up on  http://locationinsights.co.uk ... pic.twitter.com/ZGAfV7YVT0",[],['http://locationinsights.co.uk'],[],1,0,2,['#30daymapchallenge'],[],https://twitter.com/emu_info/status/1200456550445469696,False,,1,,,,,,,"[{'user_id': '2756004123', 'username': 'emu_info'}]",
1200456082151395329,1192855827272675329,1575046008000,2019-11-29,11:46:48,EST,1192848641771393027,colmixe,Colmix,,"Día 28: Divertido / #Yïkxekp

Un mapa de las #naciones de #Oaxaca en estilo #Lego
#30daymapchallenge pic.twitter.com/atCYy1lWrQ",[],[],['https://pbs.twimg.com/media/EKjgcHgWsAYUkZz.jpg'],4,36,91,"['#yïkxekp', '#naciones', '#oaxaca', '#lego', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1200456082151395329,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1200450533330477057,1200450533330477057,1575044685000,2019-11-29,11:24:45,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 29: Experimental
GIS is a lot of experimental analysis. Here we have experimental inside experimental! The Large Hadron Collider (CERN).
#gis #geography #geographyteacher #cartography #maps #map #CERN #largehadroncollider #physics #Geneve pic.twitter.com/a90nfxK56K",[],[],['https://pbs.twimg.com/media/EKjbXpwXYAAO4c2.jpg'],1,1,1,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#cern', '#largehadroncollider', '#physics', '#geneve']",[],https://twitter.com/my_physical/status/1200450533330477057,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1200450285950394368,1200450285950394368,1575044626000,2019-11-29,11:23:46,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 29. Day: Experimental: Lego-style elevation map. For me first experiment with making lego-maps 😆😋 Followed simple guidelines by @AndriyYaremenko pic.twitter.com/Xv0afUDkmW,['andriyyaremenko'],[],['https://pbs.twimg.com/media/EKjbI_mXUAAULs8.jpg'],0,7,41,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1200450285950394368,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}, {'user_id': '1033324108992442368', 'username': 'AndriyYaremenko'}]",
1200442445173067776,1200442445173067776,1575042756000,2019-11-29,10:52:36,EST,77265423,ijturton,Ian Turton,,#30DayMapChallenge day 29 experimental. Trying to recreate something I saw @jwoLondon (or possibly @jsndyks) do many years ago with a hand drawn look to their lines. Not sure it's really working but I have learned a lot about the geometry generator in #qgis pic.twitter.com/B4UAMI8IfZ,"['jwolondon', 'jsndyks']",[],['https://pbs.twimg.com/media/EKjUCBBXUAAd5VU.jpg'],1,0,3,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/ijturton/status/1200442445173067776,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}, {'user_id': '43953969', 'username': 'jwoLondon'}, {'user_id': '19299318', 'username': 'jsndyks'}]",
1200441333418213376,1200441333418213376,1575042491000,2019-11-29,10:48:11,EST,496514453,visualvariable,Travis White,,"#30DayMapChallenge

Day 28. Funny

A day late but worth a chuckle: at 4039 ft, Mount Sunflower is the highest ""peak"" in Kansas. As this pic by Bill Johnson shows, it may be the easiest ascent for climbers in the country. Read more at  http://geokansas.ku.edu/mount-sunflower  pic.twitter.com/QUNz1nOUgm",[],['http://geokansas.ku.edu/mount-sunflower'],"['https://pbs.twimg.com/media/EKjTBTdWoAIQWeh.jpg', 'https://pbs.twimg.com/media/EKjTBTfWsAEOBgd.jpg']",1,0,11,['#30daymapchallenge'],[],https://twitter.com/visualvariable/status/1200441333418213376,False,,0,,,,,,,"[{'user_id': '496514453', 'username': 'visualvariable'}]",
1200440383437713409,1200440383437713409,1575042265000,2019-11-29,10:44:25,EST,2811204742,swac_oecd,SWAC OECD,,#30DayMapChallenge 𝐃𝐚𝐲 𝟐𝟗 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥: This map shows the 100 least-connected #urban #agglomerations in #Africa. 80% of the least-connected agglomerations are in the #Sahara and the #Kalahari Desert.  http://www.africapolis.org  pic.twitter.com/U0ZfwX6fpK,[],['http://www.africapolis.org'],['https://pbs.twimg.com/media/EKjSJz5WsAEKnj8.jpg'],0,7,28,"['#30daymapchallenge', '#urban', '#agglomerations', '#africa', '#sahara', '#kalahari']",[],https://twitter.com/SWAC_OECD/status/1200440383437713409,False,,0,,,,,,,"[{'user_id': '2811204742', 'username': 'SWAC_OECD'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '14757999', 'username': 'EarthObserved'}, {'user_id': '1100227476356120578', 'username': 'DEarthAfrica'}, {'user_id': '968877914195398656', 'username': 'spaceinafrica1'}, {'user_id': '418015548', 'username': 'rafaelprietoc'}, {'user_id': '153718180', 'username': 'CraigTaylorGIS'}, {'user_id': '13215962', 'username': 'jerry_shannon'}, {'user_id': '19178148', 'username': 'africaupdates'}, {'user_id': '432703511', 'username': 'SERVIRGlobal'}, {'user_id': '937633823835246592', 'username': 'inhoi_heo'}]",
1200438028319240192,1200438028319240192,1575041703000,2019-11-29,10:35:03,EST,77265423,ijturton,Ian Turton,,"#30DayMapChallenge, day 28 funny is back to an old favourite of mine, based on the XKCD upside down map. pic.twitter.com/CoeNuvljFD",[],[],"['https://pbs.twimg.com/media/EKjP8_pWwAEvV5L.jpg', 'https://pbs.twimg.com/media/EKjP9tSX0AIzJt7.png']",0,1,3,['#30daymapchallenge'],[],https://twitter.com/ijturton/status/1200438028319240192,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1200435130013274113,1200435130013274113,1575041012000,2019-11-29,10:23:32,EST,13215962,jerry_shannon,Jerry Shannon,,Day 29 of #30DayMapChallenge: experimental. The year is 2050. Cartographers have seized power. Alaska and Hawaii have been jettisoned. Area boundaries are now compatible with hexbinning and counties scaled to population. City names are generated from Twitter streams. All is well. pic.twitter.com/eQ6tPxYj3h,[],[],['https://pbs.twimg.com/media/EKjNYYdXsAE8a_p.jpg'],2,2,18,['#30daymapchallenge'],[],https://twitter.com/jerry_shannon/status/1200435130013274113,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}]",
1200433473254809602,1200433473254809602,1575040617000,2019-11-29,10:16:57,EST,34737662,positium,Positium,,"Day 29 of the #30DayMapChallenge : we explored our artistic side this time with a watercolour map of the world.
Only 1 more day to go!
#maps #world #watercolor #art pic.twitter.com/TCwu9RlQMW",[],[],['https://pbs.twimg.com/media/EKjL4EMWwAECCc5.jpg'],0,0,10,"['#30daymapchallenge', '#maps', '#world', '#watercolor', '#art']",[],https://twitter.com/positium/status/1200433473254809602,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1200432642967166977,1200432642967166977,1575040419000,2019-11-29,10:13:39,EST,989426149,walkabilly,Daniel Fuller,,Participants from @TeamInteractCA in #yxe mapped areas of the city they thought were unsafe. The east-west divide is well known but this is shocking. @SPHERUsask @REngString #30daymapchallenge pic.twitter.com/e0MVV1p0T5,"['teaminteractca', 'spherusask', 'rengstring']",[],['https://pbs.twimg.com/media/EKjLH3UXUAECbOY.jpg'],1,1,4,"['#yxe', '#30daymapchallenge']",[],https://twitter.com/walkabilly/status/1200432642967166977,False,,0,,,,,,,"[{'user_id': '989426149', 'username': 'walkabilly'}, {'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '415038691', 'username': 'SPHERUsask'}, {'user_id': '300425529', 'username': 'REngString'}]",
1200432425760899074,1200432425760899074,1575040367000,2019-11-29,10:12:47,EST,22146490,joriseekhout,Joris Eekhout,,Day 29 (experimental): I have been playing around with #blender to make a representation of a typical Mediterranean catchment #30DayMapChallenge pic.twitter.com/SnUvJN9SBI,[],[],['https://pbs.twimg.com/media/EKjK55vXYAAtz_z.jpg'],0,0,11,"['#blender', '#30daymapchallenge']",[],https://twitter.com/JorisEekhout/status/1200432425760899074,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1200425698097283073,1200425698097283073,1575038763000,2019-11-29,09:46:03,EST,223959960,_penguin_runner,Kirsten Reilly,,#30DayMapChallenge Day 29: Experimental - Created for my parents 30th Wedding Anniversary - The Dents Du Midi filled with locations that are special to them #opensource #osopen #osm #scotland #cornwall #yorkshire #peakdistrict #chatel #gischat #geography #cartography #makemapsart pic.twitter.com/PwdKEDmcJ1,[],[],['https://pbs.twimg.com/media/EKjEzcbXkAQl1pu.jpg'],1,3,17,"['#30daymapchallenge', '#opensource', '#osopen', '#osm', '#scotland', '#cornwall', '#yorkshire', '#peakdistrict', '#chatel', '#gischat', '#geography', '#cartography', '#makemapsart']",[],https://twitter.com/_penguin_runner/status/1200425698097283073,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1200423200460562432,1190981899684139008,1575038168000,2019-11-29,09:36:08,EST,836653702182207492,elio_javi,Javier Elío,,"Day 29: Experimental. I've been playing with map projections 😀😀

Code:  https://github.com/javiereliomedina/R_Maps.git …
#30DayMapChallenge #rstats #rspatial #ggplot2 #sf #maps pic.twitter.com/2r81l0Yrxv","['ecmwf', 'copernicuseu']",['https://github.com/javiereliomedina/R_Maps.git'],[],0,3,7,"['#30daymapchallenge', '#rstats', '#rspatial', '#ggplot2', '#sf', '#maps']",[],https://twitter.com/Elio_Javi/status/1200423200460562432,False,,1,,,,,,,"[{'user_id': '836653702182207492', 'username': 'Elio_Javi'}, {'user_id': '370094706', 'username': 'ECMWF'}, {'user_id': '978604706', 'username': 'CopernicusEU'}]",
1200420864384282626,1200420864384282626,1575037611000,2019-11-29,09:26:51,EST,3552542476,sannajokela1,Sanna Jokela,,#30DayMapChallenge Day 29. All. most. done. Experimental. During this challenge I have experimented a lot. A lot more than I thought. This was supposed to be posted on the day the hydrology challenge was acute. But I'll take the opportunity now. * pic.twitter.com/TfylOzetXQ,[],[],"['https://pbs.twimg.com/media/EKjAXGgW4AAjTTa.jpg', 'https://pbs.twimg.com/media/EKjAXGfXUAIgoT8.jpg']",2,0,12,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1200420864384282626,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}]",
1200420102354735104,1200420102354735104,1575037429000,2019-11-29,09:23:49,EST,2446784474,nkhilia,Nkhili Asma,,"Les GROS clichés de toute l'Europe ou presque des étudiants de L1 Géo - TD Analyse Carto !
@uvsq
#30DayMapChallenge #funny #1Daylate #cartographie
Bravo Drorian Jouvenot, Clémence, Astrid, Justine, Maugan, Joseph, Florine, Olivier et Loann ! pic.twitter.com/fVTjrTzj4c",['uvsq'],[],['https://pbs.twimg.com/media/EKi_trhXkAA9hfB.jpg'],0,1,6,"['#30daymapchallenge', '#funny', '#1daylate', '#cartographie']",[],https://twitter.com/NkhiliA/status/1200420102354735104,False,,0,,,,,,,"[{'user_id': '2446784474', 'username': 'NkhiliA'}, {'user_id': '74689258', 'username': 'uvsq'}]",
1200417267953082370,1200417267953082370,1575036754000,2019-11-29,09:12:34,EST,155965570,danidlsa,Daniela de los Santos,,"For #30DayMapChallenge Day 29: Experimental, I had the exact same idea of @hrbrmstr, sorry for the repeat!

Here's two maps of Westeros & Essos: one that focuses on the geography, another on the political.

Shapefiles here 👉  https://bit.ly/2XXd6BC
#ArgGIS #GameofThrones pic.twitter.com/g9JHcnrEWK",['hrbrmstr'],['https://bit.ly/2XXd6BC'],"['https://pbs.twimg.com/media/EKi9IRJWoAAIU_f.png', 'https://pbs.twimg.com/media/EKi9IRSW4AQRSmJ.png']",0,0,4,"['#30daymapchallenge', '#arggis', '#gameofthrones']",[],https://twitter.com/danidlsa/status/1200417267953082370,False,,0,,,,,,,"[{'user_id': '155965570', 'username': 'danidlsa'}, {'user_id': '5685812', 'username': 'hrbrmstr'}]",
1200415846310526976,1200415846310526976,1575036415000,2019-11-29,09:06:55,EST,5685812,hrbrmstr,boB Rudis,,"Today's #30DayMapChallenge is ""Experimental"". While I am a huge anti-fan of GoT, I 💙 fantasy maps and it turns out there is a GISofThrones! ( http://downloads.gvsig.org/download/documents/books/ …).

Here's a rough 1st experimental cut (only had ~30m free this AM) using #rstats {sf} {ggimage} {ggplot2} pic.twitter.com/sNWgMHqTES",[],['http://downloads.gvsig.org/download/documents/books/'],['https://pbs.twimg.com/media/EKi71_0XsAA43ih.jpg'],3,4,24,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1200415846310526976,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1200411395847798786,1200411395847798786,1575035353000,2019-11-29,08:49:13,EST,1148388547461865472,eternatesis,LaTesisInterminable,,"#30DayMapChallenge Principales procesos de transformación del paisaje en Colombia, 2001-2011.
Mapa realizado en ArcMap, con base en los mapas de coberturas y usos del suelo, metodología Corine Land Cover, generados por el IDEAM. pic.twitter.com/7fV9V30Wf2",[],[],['https://pbs.twimg.com/media/EKi3zB-XYAEWYg9.png'],1,0,4,['#30daymapchallenge'],[],https://twitter.com/EternaTesis/status/1200411395847798786,False,,0,,,,,,,"[{'user_id': '1148388547461865472', 'username': 'EternaTesis'}]",
1200411112132481029,1200407619434958848,1575035286000,2019-11-29,08:48:06,EST,2198358416,tjukanov,Topi Tjukanov,,"Bonus: a small piece of 3D London

#30DayMapChallenge #Aerialod pic.twitter.com/Jz29lu7Eke",['ephtracy'],[],['https://pbs.twimg.com/media/EKi3iahXUAYQDl4.png'],2,3,21,"['#30daymapchallenge', '#aerialod']",[],https://twitter.com/tjukanov/status/1200411112132481029,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '267862771', 'username': 'ephtracy'}]",
1200407619434958848,1200407619434958848,1575034453000,2019-11-29,08:34:13,EST,2198358416,tjukanov,Topi Tjukanov,,"As the theme for #30DayMapChallenge today is experimental, I am experimenting with #Aerialod by @ephtracy for the first time using Helsinki 3D data.

Check out Aerialod here:  https://ephtracy.github.io/index.html?page=aerialod … pic.twitter.com/9Geys9aagc",['ephtracy'],['https://ephtracy.github.io/index.html?page=aerialod'],['https://pbs.twimg.com/media/EKi0XMjXYAA5q3W.jpg'],4,12,75,"['#30daymapchallenge', '#aerialod']",[],https://twitter.com/tjukanov/status/1200407619434958848,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '267862771', 'username': 'ephtracy'}]",
1200407101249597442,1200407101249597442,1575034330000,2019-11-29,08:32:10,EST,920588104678899712,lvmgeo,LVM GEO,,"Since 2014 African swine fever (ASF) has spread within wild boar population in Latvia. The map shows animal density and ASF cases.
Data source: Food and Veterinary Service of Latvia

#30DayMapChallenge pic.twitter.com/IdnqA4ETCO",[],[],[],0,2,6,['#30daymapchallenge'],[],https://twitter.com/lvmgeo/status/1200407101249597442,False,,1,,,,,,,"[{'user_id': '920588104678899712', 'username': 'lvmgeo'}]",
1200404030893244416,1200402186594922499,1575033598000,2019-11-29,08:19:58,EST,2574612668,hireuter,hannes reuter,,#30DayMapChallenge 29. Experimental - How many buses do you get in the morning rush hour to go to work? Kudos to @opendatalu for the GTFS file! Contributions by @EU_Eurostat E4 #GISCO Team - 1day2go pic.twitter.com/Jji0dMiHXy,"['eu_eurostat', 'opendatalu']",[],['https://pbs.twimg.com/media/EKixFz0WwAA81ry.jpg'],0,0,5,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1200404030893244416,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}, {'user_id': '1577021952', 'username': 'OpenDataLU'}]",
1200402810099122176,1200402810099122176,1575033306000,2019-11-29,08:15:06,EST,2446784474,nkhilia,Nkhili Asma,,"Pollution des océans et pays pollueurs ! Carte réalisée par les étudiants de L1 Géo - TD Analyse Carto !
@uvsq
#30DayMapChallenge #resources #2dayslate #cartographie
Bravo à Thileni, Raphaëlle, Mathieu et Roxane ! pic.twitter.com/56atAtWbbR",['uvsq'],[],['https://pbs.twimg.com/media/EKiv_MxXsAAphri.jpg'],1,1,9,"['#30daymapchallenge', '#resources', '#2dayslate', '#cartographie']",[],https://twitter.com/NkhiliA/status/1200402810099122176,False,,0,,,,,,,"[{'user_id': '2446784474', 'username': 'NkhiliA'}, {'user_id': '74689258', 'username': 'uvsq'}]",
1200402186594922499,1200402186594922499,1575033158000,2019-11-29,08:12:38,EST,2574612668,hireuter,hannes reuter,,"#30DayMapChallenge 29. Experimental - Splitting country features in PostGIS to speed up ST_Intersects ~ 12ms consistently for the ID services from GISCO for LAU, NUTS+countries. Could we get it even faster ?  Contributions by @EU_Eurostat E4 #GISCO Team - 1day2go pic.twitter.com/LhMfemTv9m",['eu_eurostat'],[],['https://pbs.twimg.com/media/EKivaP9WsAAk5N8.jpg'],1,0,5,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1200402186594922499,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1200401526134583297,1200401526134583297,1575033000000,2019-11-29,08:10:00,EST,1134404567859388417,geospatialk,Geospatial Advocacy Kenya,,"The legend is on the other side of the globe. Who cares, this looks great #30DayMapChallenge https://twitter.com/tjukanov/status/1197452851083124736 …",[],['https://twitter.com/tjukanov/status/1197452851083124736'],[],0,1,4,['#30daymapchallenge'],[],https://twitter.com/GeospatialK/status/1200401526134583297,False,https://twitter.com/tjukanov/status/1197452851083124736,0,,,,,,,"[{'user_id': '1134404567859388417', 'username': 'GeospatialK'}]",
1200392224070152192,1200392224070152192,1575030783000,2019-11-29,07:33:03,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland","Nearly finished with the #30DayMapChallenge! Day 29’s theme is #experimental, so to celebrate #BlackFriday2019, here’s a black and white @joydivision map of Dublin pic.twitter.com/i8NISDk5sk",['joydivision'],[],['https://pbs.twimg.com/media/EKimXJDWkAAuqVI.jpg'],0,2,4,"['#30daymapchallenge', '#experimental', '#blackfriday2019']",[],https://twitter.com/blanky343/status/1200392224070152192,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}, {'user_id': '2813184458', 'username': 'joydivision'}]",
1200391954938441728,1200391954938441728,1575030718000,2019-11-29,07:31:58,EST,328468209,herrufer,Alberto Riva,,Ci sono delle mappe bellissime su questo #30DayMapChallenge 😍 che ho scoperto oggi che è quasi finito. Grazie alla newsletter di @radioambulante che ha sempre dei consigli meravigliosi. Oggi da @veckst https://twitter.com/tjukanov/status/1187713840550744066 …,"['radioambulante', 'veckst']",['https://twitter.com/tjukanov/status/1187713840550744066'],[],0,0,3,['#30daymapchallenge'],[],https://twitter.com/herrufer/status/1200391954938441728,False,https://twitter.com/tjukanov/status/1187713840550744066,0,,,,,,,"[{'user_id': '328468209', 'username': 'herrufer'}, {'user_id': '310596714', 'username': 'radioambulante'}, {'user_id': '4444608192', 'username': 'veckst'}]",
1200391761501310976,1200391761501310976,1575030672000,2019-11-29,07:31:12,EST,2844946777,burriezamateos,José María Burrieza,,"Día 29 de la #30DayMapChallenge Día 29: Experimental
#Geolocalización de la #CartografíaHistórica y uso para el análisis de la #GeografíaHumana, urbanismo y paisaje. #MirandaDoDouro (#Portugal🇵🇹) frente al Fuerte Nuevo y barca de #Torregamones (#España🇪🇸). Año 1762 Fuente #RAH. pic.twitter.com/uDI5CakDYh",[],[],"['https://pbs.twimg.com/media/EKil7WtXsAAzP78.jpg', 'https://pbs.twimg.com/media/EKil7WwWwA0C26b.jpg', 'https://pbs.twimg.com/media/EKil7WvXkAAdU0C.jpg']",0,0,3,"['#30daymapchallenge', '#geolocalización', '#cartografíahistórica', '#geografíahumana', '#mirandadodouro', '#portugal', '#torregamones', '#españa', '#rah']",[],https://twitter.com/BurriezaMateos/status/1200391761501310976,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1200387504500858885,1200387504500858885,1575029657000,2019-11-29,07:14:17,EST,9270922,seirenfilms,SeirenFilms,,Belleza de data en el hashtag de #30DayMapChallenge recomendado por @radioambulante pic.twitter.com/OKRveyuVqj,['radioambulante'],[],[],0,1,8,['#30daymapchallenge'],[],https://twitter.com/SeirenFilms/status/1200387504500858885,False,,1,,,,,,,"[{'user_id': '9270922', 'username': 'SeirenFilms'}, {'user_id': '310596714', 'username': 'radioambulante'}]",
1200381707607777280,1200381707607777280,1575028275000,2019-11-29,06:51:15,EST,800062073191469056,polimappers,PoliMappers,,"Hey #gischat, after #30DayMapChallenge in November, join the #PoliMappersAdventures in December. We will be publishing a new quest every day in December so that we never stop learning and mapping 😊 #openstreetmap 🌎🌍🌏",[],[],[],0,5,12,"['#gischat', '#30daymapchallenge', '#polimappersadventures', '#openstreetmap']",[],https://twitter.com/PoliMappers/status/1200381707607777280,False,,0,,,,,,,"[{'user_id': '800062073191469056', 'username': 'PoliMappers'}]",
1200380154050203648,1200380154050203648,1575027905000,2019-11-29,06:45:05,EST,2150859030,bniene,Niene Boeijen,,"#30DayMapChallenge experimental:

Sewing a bow-tie (and tying it..!) from map fabric. Here is my #wherecat showing it off!

Look at his smug face :) pic.twitter.com/3PsM5jmwKX",[],[],['https://pbs.twimg.com/media/EKibYrbXUAAlOdk.jpg'],1,0,16,"['#30daymapchallenge', '#wherecat']",[],https://twitter.com/BNiene/status/1200380154050203648,False,,0,,,,,,,"[{'user_id': '2150859030', 'username': 'BNiene'}]",
1200375559219503104,1200375559219503104,1575026809000,2019-11-29,06:26:49,EST,1109071770814951424,ms_pixels,AB Ansah,,Day 25: #30DayMapChallenge. #Aerosol concentration over Africa for June 2019. @geospatialwomen @CERSGIS_GH @CopernicusEU pic.twitter.com/fn5oOwu1fn,"['geospatialwomen', 'cersgis_gh', 'copernicuseu']",[],['https://pbs.twimg.com/media/EKiXMeiWoAEGsVY.jpg'],0,5,11,"['#30daymapchallenge', '#aerosol']",[],https://twitter.com/Ms_Pixels/status/1200375559219503104,False,,0,,,,,,,"[{'user_id': '1109071770814951424', 'username': 'Ms_Pixels'}, {'user_id': '1106538405469540353', 'username': 'geospatialwomen'}, {'user_id': '3397094691', 'username': 'CERSGIS_GH'}, {'user_id': '978604706', 'username': 'CopernicusEU'}]",
1200372910621249537,1200372910621249537,1575026178000,2019-11-29,06:16:18,EST,19001296,minus34,Hugh Saalmans,,"#30DayMapChallenge Day 29: Experimental

An oldie but a goodie: A ~350,000 point #WebGL population density heatmap:

 http://minus34.com/sizzler/ ",[],['http://minus34.com/sizzler/'],[],0,0,0,"['#30daymapchallenge', '#webgl']",[],https://twitter.com/minus34/status/1200372910621249537,False,,0,,,,,,,"[{'user_id': '19001296', 'username': 'minus34'}]",
1200365146230513667,1200365146230513667,1575024327000,2019-11-29,05:45:27,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,Experimented a different projection for #30DayMapChallenge pic.twitter.com/SFcddfhNyN,[],[],['https://pbs.twimg.com/media/EKiNu9wUEAEOfhY.png'],0,0,9,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1200365146230513667,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}]",
1200365033303109633,1200365033303109633,1575024300000,2019-11-29,05:45:00,EST,385013701,rastrau,Ralph Straumann,,"#30DayMapChallenge, experimental:

The world, if everyone adopted  https://epsg.io/2056  CH1903+ LV95 ""Swissgrid"". I guess South Africa could be on board with this proposition? 🤔 pic.twitter.com/FhYmVS2QH7",[],['https://epsg.io/2056'],['https://pbs.twimg.com/media/EKiLi0dWsAEr4k0.png'],2,0,16,['#30daymapchallenge'],[],https://twitter.com/rastrau/status/1200365033303109633,False,,0,,,,,,,"[{'user_id': '385013701', 'username': 'rastrau'}]",
1200361369243181056,1200361369243181056,1575023426000,2019-11-29,05:30:26,EST,140068360,geomniuk,GeomniUK,,"Day 29 of the #30DayMapChallenge - Experimental

Here at Geomni we have begun experimenting with automatic extraction of roof details from our aerial imagery using AI and machine learning techniques.

The process can provide us with information such as roof height and pitch. pic.twitter.com/uxg4A1huwC",[],[],['https://pbs.twimg.com/media/EKiKTWyXUAAfDsD.jpg'],0,2,5,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1200361369243181056,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1200357483434381313,1200357483434381313,1575022500000,2019-11-29,05:15:00,EST,1499547780,heikkivesanto,Heikki Vesanto,,Transitioning between the outline of Scotland from the 1654 Blaeu Atlas and the modern day. See the @natlibscotmaps for more information on the source:  https://maps.nls.uk/atlas/blaeu/  Interactive version  https://gisforthought.com/projects/scotland_outline/index.html … #30DayMapChallenge #Day29 #Experimental pic.twitter.com/cLFNgxiW8x,['natlibscotmaps'],"['https://maps.nls.uk/atlas/blaeu/', 'https://gisforthought.com/projects/scotland_outline/index.html']",[],1,1,8,"['#30daymapchallenge', '#day29', '#experimental']",[],https://twitter.com/HeikkiVesanto/status/1200357483434381313,False,,1,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}, {'user_id': '1119210314', 'username': 'natlibscotmaps'}]",
1200353031897919489,1200353031897919489,1575021438000,2019-11-29,04:57:18,EST,17970626,lucas_berlin,Lucas Verweij,,Cities with an M on an Interrupted #worldmap. #30DayMapChallenge pic.twitter.com/jShrNPBwup,[],[],['https://pbs.twimg.com/media/EKiCoFgWwAA9wNl.jpg'],0,0,2,"['#worldmap', '#30daymapchallenge']",[],https://twitter.com/Lucas_Berlin/status/1200353031897919489,False,,0,,,,,,,"[{'user_id': '17970626', 'username': 'Lucas_Berlin'}]",
1200346007470592001,1200346007470592001,1575019764000,2019-11-29,04:29:24,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 29. Experimental

It's game time, fellow geo-geeks! 😄🗺 How many random facts about countries do you know? Click Madagascar to see the first question. Which country is the final one? Let us know!

Play 👉🏻 http://t.localfocus.nl/?a312f2a  pic.twitter.com/TnxE4SPCZm",[],['http://t.localfocus.nl/?a312f2a'],['https://pbs.twimg.com/media/EKh8TCZWkAAwNZY.jpg'],2,4,5,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1200346007470592001,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1200342090804342785,1200342090804342785,1575018830000,2019-11-29,04:13:50,EST,43953969,jwolondon,Jo Wood,,"Day 29: Experimental

Bear with me while I describe some experiments in sketchy design in Vega-Lite that arose from a coding error I made a few years ago when trying to create a smooth contouring algorithm.

Workings & data:   https://github.com/jwoLondon/30dayMapChallenge/blob/master/d29Experimental.md …
#30DayMapChallenge

[1 / 8]",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d29Experimental.md'],[],3,4,16,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1200342090804342785,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1200337520485183489,1200337520485183489,1575017740000,2019-11-29,03:55:40,EST,223959960,_penguin_runner,Kirsten Reilly,,A day late...#30DayMapChallenge Day 28: Funny - My cartography skills when not using a GIS 😂🎨 #paint #gischat #geography #cartography pic.twitter.com/yhQhFPTln6,[],[],['https://pbs.twimg.com/media/EKh0nAVXUAAN41N.jpg'],0,1,9,"['#30daymapchallenge', '#paint', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1200337520485183489,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1200335899483148288,1200335899483148288,1575017354000,2019-11-29,03:49:14,EST,38010177,citizenfishy,Sweary Dave,,#30DayMapChallenge Day 29 - Experimental. It had to be one of the biggest experiments so here is the large Hadron collider rendered above ground pic.twitter.com/ZiTJwbYavD,[],[],['https://pbs.twimg.com/media/EKhzHNcWkAEWuyn.jpg'],1,2,21,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1200335899483148288,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1200335751017369600,1200335751017369600,1575017318000,2019-11-29,03:48:38,EST,982429849,pedro_com_es,Pedro Suárez,,"Los viernes voy sin tiempo, así que dejo un par de muestras de la fase experimental de mapas pasados: cuando metes el planeta en la batidora, o te pasas con la optimización de vértices... #30DayMapChallenge pic.twitter.com/nOS3ukhPqT",[],[],"['https://pbs.twimg.com/media/EKhy_tVXkAAqTjq.png', 'https://pbs.twimg.com/media/EKhy_tbXUAErPbl.jpg']",0,0,1,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1200335751017369600,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}]",
1200330563544059905,1200330563544059905,1575016082000,2019-11-29,03:28:02,EST,919806358328958976,gis3700,Vicky Verscheijden,,"#30DayMapChallenge my last one 🎁 advent Calendar
 https://www.gis3700.be/advent/  @stadtongeren pic.twitter.com/LHHbjo1eEn",['stadtongeren'],['https://www.gis3700.be/advent/'],['https://pbs.twimg.com/media/EKhuR05W4AEvcaz.jpg'],0,1,6,['#30daymapchallenge'],[],https://twitter.com/gis3700/status/1200330563544059905,False,,0,,,,,,,"[{'user_id': '919806358328958976', 'username': 'gis3700'}, {'user_id': '441650529', 'username': 'stadtongeren'}]",
1200329102005358592,1200329102005358592,1575015733000,2019-11-29,03:22:13,EST,153718180,craigtaylorgis,Craig Taylor,,"#30DayMapChallenge Day 29: Experimental 🧪

Every #dataviz I produce stems from experimenting - this old concept looked at optimising journeys around London to avoid population hot spots. The population heatmap change is fabricated for testing purposes.

#maps #3d #animation pic.twitter.com/QJAOpxFzKq",[],[],[],5,43,207,"['#30daymapchallenge', '#dataviz', '#maps', '#3d', '#animation']",[],https://twitter.com/CraigTaylorGIS/status/1200329102005358592,False,,1,,,,,,,"[{'user_id': '153718180', 'username': 'CraigTaylorGIS'}]",
1200327610372411392,1200327610372411392,1575015377000,2019-11-29,03:16:17,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Experimental. Hyper-realistic fluid simulation scenario, featuring Santa Claus (disguised as a red ball) doing a high-velocity anti-Black Friday belly-flop to Kilpisjärvi. Data: @Maanmittaus #30DayMapChallenge #saana #kilpisjärvi #fluidsimulation #b3d #blender #santaclaus #joulu pic.twitter.com/ksz7td4T5k",['maanmittaus'],[],[],0,2,13,"['#30daymapchallenge', '#saana', '#kilpisjärvi', '#fluidsimulation', '#b3d', '#blender', '#santaclaus', '#joulu']",[],https://twitter.com/AlsuhailFaris/status/1200327610372411392,False,,1,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}]",
1200326456775196673,1200326456775196673,1575015102000,2019-11-29,03:11:42,EST,39204419,pascal_n,Pascal Neis,,"There you go, just a quick try. #2019
#OpenStreetMap #Activity
#30DayMapChallenge #Day29  https://twitter.com/pascal_n/status/1199792760057991173 … pic.twitter.com/QkvQQric2e",[],['https://twitter.com/pascal_n/status/1199792760057991173'],['https://pbs.twimg.com/media/EKhqijcWkAAoVd9.jpg'],0,16,20,"['#openstreetmap', '#activity', '#30daymapchallenge', '#day29']",[],https://twitter.com/pascal_n/status/1200326456775196673,False,,0,,,,,,,"[{'user_id': '39204419', 'username': 'pascal_n'}]",
1200321957989732353,1200321957989732353,1575014030000,2019-11-29,02:53:50,EST,165669854,williamscraigm,Craig Williams,,#30DayMapChallenge Day 28: 🤣 You can make a map of Kansas with a small tear to the corner of an 11x17 sheet of paper. Happy Thanksgiving 🦃 pic.twitter.com/fCSpsG0JeD,[],[],['https://pbs.twimg.com/media/EKhmdHvVAAAsUsg.jpg'],2,3,58,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1200321957989732353,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1200310680848683008,1200310680848683008,1575011341000,2019-11-29,02:09:01,EST,2198358416,tjukanov,Topi Tjukanov,,#30DayMapChallenge Day 29: experimental pic.twitter.com/O4E9U9OCAW,[],[],['https://pbs.twimg.com/media/EKhcMtIXUAI_9Vv.jpg'],1,0,17,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1200310680848683008,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1200306112135696386,1200306112135696386,1575010252000,2019-11-29,01:50:52,EST,1129603700652105728,prof__quackers,Professor Quackers,,"Please accept our humble contribution to the #30DayMapChallenge. This shows the paths of tornadoes over the continental USA in the past 70 years.

@lillas321 @jesseXjesse pic.twitter.com/Cq82gq04Nx","['lillas321', 'jessexjesse']",[],['https://pbs.twimg.com/media/EKhX8JcVUAAGVNT.jpg'],2,10,35,['#30daymapchallenge'],[],https://twitter.com/Prof__Quackers/status/1200306112135696386,False,,0,,,,,,,"[{'user_id': '1129603700652105728', 'username': 'Prof__Quackers'}, {'user_id': '342237660', 'username': 'lillas321'}, {'user_id': '26026131', 'username': 'jesseXjesse'}]",
1200297254373994497,1200297254373994497,1575008140000,2019-11-29,01:15:40,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day29 #Experiment #30DayMapChallenge pic.twitter.com/ncFnssqHgI,[],[],['https://pbs.twimg.com/media/EKhP-3jXkAAtUmn.jpg'],0,0,0,"['#experiment', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1200297254373994497,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1200297216403034113,1200297216403034113,1575008131000,2019-11-29,01:15:31,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day29 #Experiment #30DayMapChallenge pic.twitter.com/QjKBM3Z5mG,[],[],['https://pbs.twimg.com/media/EKhP8uaXUAAoeAr.jpg'],0,0,0,"['#experiment', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1200297216403034113,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1200297184249491457,1200297184249491457,1575008123000,2019-11-29,01:15:23,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day29 #Experiment #30DayMapChallenge pic.twitter.com/q7lXN093yx,[],[],['https://pbs.twimg.com/media/EKhP60bW4AAUJjB.jpg'],0,0,0,"['#experiment', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1200297184249491457,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1200297141689835521,1200297141689835521,1575008113000,2019-11-29,01:15:13,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day29 #Experiment #30DayMapChallenge pic.twitter.com/QilY6xZnBL,[],[],['https://pbs.twimg.com/media/EKhP4p-XYAAhXD1.jpg'],0,0,0,"['#experiment', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1200297141689835521,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1200297046042980353,1200297046042980353,1575008090000,2019-11-29,01:14:50,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Dau29 #Experiment #30DayMapChallenge pic.twitter.com/YlCrH4ojKd,[],[],['https://pbs.twimg.com/media/EKhPzEJXUAAUmBJ.jpg'],0,0,0,"['#experiment', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1200297046042980353,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1200286355353260034,1200286355353260034,1575005542000,2019-11-29,00:32:22,EST,3346807874,emmavitz,Emma Vitz,,"Day 29 of the #30DayMapChallenge with the theme Experimental! I took this as permission to improve one of my previous maps 😆 Here we've got the max summer temperature in Australia, going back to 1910.
We can also see new weather stations being added over time #rspatial #rstats pic.twitter.com/3eZM3nGcZF",[],[],[],1,6,16,"['#30daymapchallenge', '#rspatial', '#rstats']",[],https://twitter.com/EmmaVitz/status/1200286355353260034,False,,1,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1200281206174179328,1200281206174179328,1575004314000,2019-11-29,00:11:54,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Antwerp, Belgium",#30DayMapChallenge day 29: an #experimental map - showing #dhm data in a spreadsheet. pic.twitter.com/EEEkUFLr5X,[],[],['https://pbs.twimg.com/media/EKhBZClXYAAL8S4.jpg'],0,1,8,"['#30daymapchallenge', '#experimental', '#dhm']",[],https://twitter.com/michelstuyts/status/1200281206174179328,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}]",
1200280037653536769,1200280037653536769,1575004035000,2019-11-29,00:07:15,EST,41500240,yunjinzh,yunjinzh,,#30DayMapChallenge  Day1 The eyes of Africa--非洲之眼 pic.twitter.com/wmiuHfU3Ji,[],[],['https://pbs.twimg.com/media/EKhAUeqU8AAIZcV.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/yunjinzh/status/1200280037653536769,False,,0,,,,,,,"[{'user_id': '41500240', 'username': 'yunjinzh'}]",
1200279726667051008,1200279726667051008,1575003961000,2019-11-29,00:06:01,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Day 28. Funny.

In Mexico, we have a state that looks like a (schnauzer) puppy.

#RStats {leaflet} with a lot of schnauzer photos from google. pic.twitter.com/iVNb1agEca",[],[],['https://pbs.twimg.com/media/EKhACM4XUAAuy9K.jpg'],4,26,79,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1200279726667051008,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}]",
1200251047199068162,1190475062362677248,1574997123000,2019-11-28,22:12:03,EST,379176102,daniel_isita,D.,,"23. Population
#30DayMapChallenge

Estimated population by 2030 of each municipality, by quintile. Data from @CONAPO_mx
#quintil #mexico #population #qgis pic.twitter.com/xzemDctAi8","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina', 'globalforests']",[],['https://pbs.twimg.com/media/EKglx2IW4AEXfCf.jpg'],1,2,9,"['#30daymapchallenge', '#quintil', '#mexico', '#population', '#qgis']",[],https://twitter.com/daniel_isita/status/1200251047199068162,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}, {'user_id': '256573185', 'username': 'globalforests'}]",
1200238452593152000,1200238452593152000,1574994121000,2019-11-28,21:22:01,EST,93839237,andrewdc_nz,Andrew DC,,"Day 29 #30DayMapChallenge (Funny): another one from the archives - A Map of Puns: Bulls, New Zealand pic.twitter.com/6oU9Rl0WMb",[],[],['https://pbs.twimg.com/media/EKgafd5VUAAD6m2.jpg'],5,3,13,['#30daymapchallenge'],[],https://twitter.com/andrewdc_nz/status/1200238452593152000,False,,0,,,,,,,"[{'user_id': '93839237', 'username': 'andrewdc_nz'}]",
1200229422860849153,1200229422860849153,1574991968000,2019-11-28,20:46:08,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 26 - Hydrology: I labeled a fraction of the thousands of reefs that make up the Great Barrier Reef system off the Queensland, Australia coast. Names from Google, imagery is 4/10/2017 Landsat 8. pic.twitter.com/2CULDG5qi4",[],[],['https://pbs.twimg.com/media/EKgR50GX0AAzq6N.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1200229422860849153,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1200222509234315264,1200222509234315264,1574990319000,2019-11-28,20:18:39,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 28 #Funny
🥳🎉 Salones de fiesta en la Ciudad de México

#QGIS pic.twitter.com/OnquHjbTZR",[],[],['https://pbs.twimg.com/media/EKgMAMQW4AAmJ8s.jpg'],0,1,11,"['#30daymapchallenge', '#funny', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1200222509234315264,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1200206658611372032,1200206654735822854,1574986540000,2019-11-28,19:15:40,EST,501207395,rjbeecham,Roger Beecham,,"And inspired by @jwoLondon's brilliant #30DayMapChallenge entries, here's my code & workings (generated declaratively in #ggplot2):

 https://github.com/rogerbeecham/uk-general-election-vis …

.... Further design iterations to follow.",['jwolondon'],['https://github.com/rogerbeecham/uk-general-election-vis'],[],0,1,4,"['#30daymapchallenge', '#ggplot2']",[],https://twitter.com/rJBeecham/status/1200206658611372032,False,,0,,,,,,,"[{'user_id': '501207395', 'username': 'rJBeecham'}, {'user_id': '43953969', 'username': 'jwoLondon'}]",
1200201356168052736,1200201356168052736,1574985276000,2019-11-28,18:54:36,EST,257218656,descifra,DESCIFRA,,"En tiempos de guerra..  😏❣️🙊
Day 28: Fun #30DayMapChallenge
#lovepredictinglocations #BigData
Moteles (DENUE) en la #CDMX pic.twitter.com/qOJdweq0Gs",[],[],['https://pbs.twimg.com/media/EKf4xdEWkAA2h5q.png'],0,6,6,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata', '#cdmx']",[],https://twitter.com/DESCIFRA/status/1200201356168052736,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1200195203853930499,1200195203853930499,1574983809000,2019-11-28,18:30:09,EST,309734801,samwise_v,Sam J,,#30DayMapChallenge Day 28. pic.twitter.com/BuBTks7GLs,[],[],['https://pbs.twimg.com/media/EKfzKiYXUAAoyE1.jpg'],0,0,5,['#30daymapchallenge'],[],https://twitter.com/samwise_v/status/1200195203853930499,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1200192707173474304,1200192707173474304,1574983214000,2019-11-28,18:20:14,EST,2239825712,iiegj,IIEG Jalisco,,#30DayMapChallenge Día 28. Chistoso. Recuerden que si ocupan información sobre Jalisco pueden visitar nuestra página  http://www.iieg.gob.mx  pic.twitter.com/kVYmBycdjh,[],['http://www.iieg.gob.mx'],['https://pbs.twimg.com/media/EKfw6AwW4AUBrPK.jpg'],0,8,19,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1200192707173474304,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1200192531616522240,1200192531616522240,1574983172000,2019-11-28,18:19:32,EST,886193556,allisoncully,Allison Cully,,"Day 27: Resources
Glaciers are such an important natural resource and source of freshwater.  Here is a particularly cool looking blob of them in Alaska.
#30DayMapChallenge #ArcGISPro pic.twitter.com/Dfu0qUxd2v",[],[],['https://pbs.twimg.com/media/EKfwvLgVUAACws6.jpg'],0,0,1,"['#30daymapchallenge', '#arcgispro']",[],https://twitter.com/AllisonCully/status/1200192531616522240,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1200191731330760704,1200191731330760704,1574982981000,2019-11-28,18:16:21,EST,886193556,allisoncully,Allison Cully,,"Day 26: Hydrology
#Landsat 8 stretched RGB image of the Suwannee River in Florida expelling its inky blackwater into the sea. This is such a cool area!
#30DayMapChallenge #ArcGISPro pic.twitter.com/lySo6YxjpW",[],[],['https://pbs.twimg.com/media/EKfwA2hVUAAk80M.jpg'],0,0,5,"['#landsat', '#30daymapchallenge', '#arcgispro']",[],https://twitter.com/AllisonCully/status/1200191731330760704,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1200189998042976256,1200185861314404352,1574982568000,2019-11-28,18:09:28,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"No, I haven't really got anything written, but it's on my to do list (for many of my #30DayMapChallenge maps!)
I'll let you know once I have done though!",['robhawkes'],[],[],2,0,0,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1200189998042976256,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}, {'user_id': '14442542', 'username': 'robhawkes'}]",
1200188478341861377,1200188478341861377,1574982206000,2019-11-28,18:03:26,EST,886193556,allisoncully,Allison Cully,,"Day 25: Climate
Our disappearing Arctic sea ice. Each year’s image is from September, when the ice is at its minimum. Data from @NSIDC
#30DayMapChallenge #ArcGISPro pic.twitter.com/Wr6fgwJeEW",['nsidc'],[],[],0,2,5,"['#30daymapchallenge', '#arcgispro']",[],https://twitter.com/AllisonCully/status/1200188478341861377,False,,1,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}, {'user_id': '16229491', 'username': 'NSIDC'}]",
1200182873002778626,1200182873002778626,1574980869000,2019-11-28,17:41:09,EST,1571967648,jdatap,John (JP) Coene,,"🗺️Added a function to plot paths from sf object to the {globe4r} 📦 #30DayMapChallenge

Submarine cables map (gif):  https://globe4r.john-coene.com/paths  pic.twitter.com/7oUNQOIgJn",[],['https://globe4r.john-coene.com/paths'],[],1,2,27,['#30daymapchallenge'],[],https://twitter.com/jdatap/status/1200182873002778626,False,,1,,,,,,,"[{'user_id': '1571967648', 'username': 'jdatap'}]",
1200182598741286914,1200182598741286914,1574980804000,2019-11-28,17:40:04,EST,886193556,allisoncully,Allison Cully,,"Day 24: Statistics
Only 4 countries had a higher mortality rate in 2016 than 2000. The common thread among the outliers, high and low, is of course war and severe political unrest.
#30DayMapChallenge pic.twitter.com/q48lucva7T",[],[],['https://pbs.twimg.com/media/EKfntUbUcAANOvZ.jpg'],0,0,7,['#30daymapchallenge'],[],https://twitter.com/AllisonCully/status/1200182598741286914,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1200180896093163520,1200180896093163520,1574980398000,2019-11-28,17:33:18,EST,437801734,blanky343,Antonia Blankenberg,,"Posting this a little late, but what’s funnier than a map in comic sans? #30DayMapChallenge Day 28: #funny pic.twitter.com/iIrjyggHLb",[],[],['https://pbs.twimg.com/media/EKfmJmpXYAE-D6R.jpg'],0,0,5,"['#30daymapchallenge', '#funny']",[],https://twitter.com/blanky343/status/1200180896093163520,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1200179003245486082,1200179003245486082,1574979947000,2019-11-28,17:25:47,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 29 of #30DayMapChallenge – Experimental:

Interactive 3D Climbing Topo https://skfb.ly/6LoBX ",[],['https://skfb.ly/6LoBX'],[],4,5,21,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1200179003245486082,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1200178488264802304,1200173883745349632,1574979824000,2019-11-28,17:23:44,EST,2749519133,benoitfauve,Benoit Fauve,,If for whatever reasons you like maps I recommend to checkout #30DayMapChallenge,[],[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/BenoitFauve/status/1200178488264802304,False,,0,,,,,,,"[{'user_id': '2749519133', 'username': 'BenoitFauve'}]",
1200177254501736448,1200177254501736448,1574979530000,2019-11-28,17:18:50,EST,2606576396,thoughtfulnz,David Hood,,"Day 29 of the #30DayMapChallenge theme ""Experimental"": a #rstats made map of where my tweets travel-representing my Twitter followers as landscape based on friends clusters.

As an experiment, here is a writeup of my code and thinking through the process:  https://github.com/thoughtfulbloke/november19_maps/tree/master/nov29 … pic.twitter.com/Plxisd2R4b",[],['https://github.com/thoughtfulbloke/november19_maps/tree/master/nov29'],['https://pbs.twimg.com/media/EKfi2D8UEAECLSY.jpg'],0,5,8,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/Thoughtfulnz/status/1200177254501736448,False,,0,,,,,,,"[{'user_id': '2606576396', 'username': 'Thoughtfulnz'}]",
1200174657363681281,1200174657363681281,1574978911000,2019-11-28,17:08:31,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 2⃣5⃣ Climate:
Number of policies & measures implemented, adopted or planned in 2019 in EU Member States to reduce greenhouse gas emissions, reported under the EU Monitoring Mechanism Regulation.

Source: @EUEnvironment ( https://tinyurl.com/vy4jlcu )
Map: @qgis pic.twitter.com/Zzwy6MlWka","['euenvironment', 'qgis']",['https://tinyurl.com/vy4jlcu'],['https://pbs.twimg.com/media/EKfgewUWoAMJ88R.jpg'],0,0,6,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1200174657363681281,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '22362552', 'username': 'EUEnvironment'}, {'user_id': '271327412', 'username': 'qgis'}]",
1200174520755269632,1200174520755269632,1574978878000,2019-11-28,17:07:58,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 1: punkti. Vai tā ir zvaigžņotā debess? Nē, tās ir Rīgas gājēju pārbrauktuves. pic.twitter.com/2wRhb53Jy4",[],[],['https://pbs.twimg.com/media/EKfgXGDWoBI1fBH.jpg'],0,1,10,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1200174520755269632,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1200174076167364609,1200174076167364609,1574978772000,2019-11-28,17:06:12,EST,363276700,stevefaeembra,Steven Kay,,"#30DayMapChallenge 29. Experimental. Comparing the size of Australia and Europe using #qgis and  #b3d. Used two globes with transparency, rotating one globe with respect to the other. pic.twitter.com/s5mUaZwK5S",[],[],['https://pbs.twimg.com/media/EKff3sqXUEMKxoo.jpg'],0,5,18,"['#30daymapchallenge', '#qgis', '#b3d']",[],https://twitter.com/stevefaeembra/status/1200174076167364609,False,,0,,,,,,,"[{'user_id': '363276700', 'username': 'stevefaeembra'}]",
1200173425127559170,1200173425127559170,1574978617000,2019-11-28,17:03:37,EST,14992557,gontsa,gontsa,,"My allusion. In 1639, Beauplan created the first ""descriptive"" map of Ukraine. «Delineatio Generalis Camporum Desertorum vulgo Ukraina. Cum adjacentibus Provinciis»
the main feature - oriented to the south.
#30DayMapChallenge Day 28: Funny
Data: #OpenStreetMap contributors, #qgis pic.twitter.com/03aUdxWAs7",[],[],['https://pbs.twimg.com/media/EKffWW6WwAAl9w8.jpg'],2,9,27,"['#30daymapchallenge', '#openstreetmap', '#qgis']",[],https://twitter.com/gontsa/status/1200173425127559170,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1200169105225068550,1200169105225068550,1574977587000,2019-11-28,16:46:27,EST,1056624482566266880,57x025,emil,,Mapping #30DayMapChallenge pic.twitter.com/ZpJpJpKJBN,[],[],['https://pbs.twimg.com/media/EKfbV_UW4AA1ekb.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/57x025/status/1200169105225068550,False,,0,,,,,,,"[{'user_id': '1056624482566266880', 'username': '57x025'}]",
1200168543246942208,1200168543246942208,1574977453000,2019-11-28,16:44:13,EST,1056624482566266880,57x025,emil,,Boundaries between orienteering event organizers #30DayMapChallenge pic.twitter.com/1Rm2JmOKGw,[],[],['https://pbs.twimg.com/media/EKfa4c_WwAABx6d.jpg'],2,2,12,['#30daymapchallenge'],[],https://twitter.com/57x025/status/1200168543246942208,False,,0,,,,,,,"[{'user_id': '1056624482566266880', 'username': '57x025'}]",
1200163927616901120,1200163927616901120,1574976352000,2019-11-28,16:25:52,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 26. Hydrology🌊
First i wanted to #dataviz @emcdda about cities' wastewater drug analysis and call it ""and the party goes on"". But no data to download, only interactive😭
So i searched for water towns instead.
#maps #rstats #ggplot #Zhouzhuang #china #water pic.twitter.com/sMM8M5q6BS",['emcdda'],[],['https://pbs.twimg.com/media/EKfWucuXsAIAadm.jpg'],0,2,3,"['#30daymapchallenge', '#dataviz', '#maps', '#rstats', '#ggplot', '#zhouzhuang', '#china', '#water']",[],https://twitter.com/bettermeasured/status/1200163927616901120,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}, {'user_id': '50638521', 'username': 'EMCDDA'}]",
1200163884746911747,1200034067397447680,1574976342000,2019-11-28,16:25:42,EST,3308382005,geoconor,Conor Graham - Geography Jedi 🏞️🛰️⛰️🌋🌎🌏🌍,"Doha, Qatar",You need to post this to #30DayMapChallenge 😎,"['shanemuk', 'stevanbarry']",[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/GeoConor/status/1200163884746911747,False,,0,,,,,,,"[{'user_id': '3308382005', 'username': 'GeoConor'}, {'user_id': '38022768', 'username': 'shanemuk'}, {'user_id': '49614517', 'username': 'stevanbarry'}]",
1200161139570749448,1200161139570749448,1574975688000,2019-11-28,16:14:48,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day28 #funny #30DayMapChallenge pic.twitter.com/gvJPfu5sce,[],[],"['https://pbs.twimg.com/media/EKfUK42W4AABFrW.jpg', 'https://pbs.twimg.com/media/EKfULyGXsAcqCcp.jpg', 'https://pbs.twimg.com/media/EKfUMYGW4AAspFq.jpg']",0,0,3,"['#funny', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1200161139570749448,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1200154832495099905,1200154832495099905,1574974184000,2019-11-28,15:49:44,EST,461965493,kriksine,Kristīne,,"#30DayMapChallenge 28. diena, smieklīgi. Ja Tu esi krustcelēs un nezini, kur doties, tad dodies ""pa kreisi"". Sabiedriskā transporta reģionālās nozīmes maršrutu (autobusu) pieturvietu datos tādas vietas ir 7755. pic.twitter.com/JnsliK3g2t",[],[],['https://pbs.twimg.com/media/EKfOc_2XsAUziHj.jpg'],1,0,3,['#30daymapchallenge'],[],https://twitter.com/kriksine/status/1200154832495099905,False,,0,,,,,,,"[{'user_id': '461965493', 'username': 'kriksine'}]",
1200153620899147792,1200153620899147792,1574973895000,2019-11-28,15:44:55,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge - Day 28 - Just for fun, the locations and shooting ranges of Dun Laoghaire-Rathdown Martello Towers. If South Dublin ever secedes and is defending itself from coastal invasion, we could try planning the landings from this 🤔 pic.twitter.com/BGyMaCdWI4",[],[],['https://pbs.twimg.com/media/EKfNVznWsAEHD9A.jpg'],2,3,8,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1200153620899147792,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1200135704497598470,1200135704497598470,1574969624000,2019-11-28,14:33:44,EST,982429849,pedro_com_es,Pedro Suárez,,"#30DayMapChallenge

Otro más para hoy (en verdad pensaba que hoy tocaba 'experimental')

Un año de ballenas azules en el pacífico.

Study Name: Blue whales Eastern North Pacific 1993-2008 - Argos data.

Fuentes: Mapa del @USGS y ballenas de @MovebankTeam

(sigue...) pic.twitter.com/rlOrxqOyce","['usgs', 'movebankteam']",[],[],1,1,7,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1200135704497598470,False,,1,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '14505838', 'username': 'USGS'}, {'user_id': '4835232609', 'username': 'MovebankTeam'}]",
1200126973013569537,1200126973013569537,1574967542000,2019-11-28,13:59:02,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 28: smieklīgi. Gribēju kartēt savu humora izjūtu, bet uz tukšu, melnu kvadrātu ir autortiesības citiem, tāpēc atgādināšu vienu no dīvainākajiem vietvārdiem - Zelta Dibens Saunas pagastā. pic.twitter.com/G3gtKzEB8F",[],[],['https://pbs.twimg.com/media/EKe1HDpX0AApQHW.jpg'],1,0,2,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1200126973013569537,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1200125786767970304,1200125786767970304,1574967259000,2019-11-28,13:54:19,EST,58808509,a_deyden,Andrea Deydén 💚,,No quiero que se acabe noviembre porque amo las visualizaciones de datos del #30daymapchallenge,[],[],[],0,0,3,['#30daymapchallenge'],[],https://twitter.com/a_deyden/status/1200125786767970304,False,,0,,,,,,,"[{'user_id': '58808509', 'username': 'a_deyden'}]",
1200125174089162753,1200125174089162753,1574967113000,2019-11-28,13:51:53,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge
Day 28: Funny (?)

What time does your nanny get up? / A qué hora se levanta tu nana?

Another effect of social segregation and our public transport system / Otro efecto de la segregación y el sist de transp público pic.twitter.com/aOS2J7xyc2",[],[],['https://pbs.twimg.com/media/EKezeB8WoAAUnNk.png'],11,96,134,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1200125174089162753,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}]",
1200124128281296897,1200124128281296897,1574966864000,2019-11-28,13:47:44,EST,1179779552068935680,5igorsk,5igorsk,,"#30DayMapChallenge Day 22: Built Environment 🏨

By popular demand (the two people that suggested it 😏...) This #dataviz shows the historic construction date of all current #newyork buildings. *Height of building…  https://www.instagram.com/p/B5a3G2fn8oH/?igshid=tfy3rewfdk6v …",[],['https://www.instagram.com/p/B5a3G2fn8oH/?igshid=tfy3rewfdk6v'],[],0,0,0,"['#30daymapchallenge', '#dataviz', '#newyork']",[],https://twitter.com/5igorsk/status/1200124128281296897,False,,0,,,,,,,"[{'user_id': '1179779552068935680', 'username': '5igorsk'}]",
1200117531710758912,1200117531710758912,1574965291000,2019-11-28,13:21:31,EST,261631571,hendrikxleo,Leo,,"Day 28: Funny #30DayMapChallenge Theme parks and Zoos in the Netherlands.
Data: Openstreetmap pic.twitter.com/Edfv9UqQ9K",[],[],['https://pbs.twimg.com/media/EKeshP8WkAAOGKN.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1200117531710758912,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1200117105078738944,1200117105078738944,1574965189000,2019-11-28,13:19:49,EST,3552542476,sannajokela1,Sanna Jokela,,"#30DayMapChallenge Day 28. Fun. All my maps have been fun, so no I made something serious. Most recent Big foot sightings reported to  https://www.bfro.net/ . Sights reported between 08-11/2019, covering sights of 1985-2019. Sorry about the screenscraping. County data by US GOV. pic.twitter.com/tGUGZrCo6C",[],['https://www.bfro.net/'],['https://pbs.twimg.com/media/EKesGbgXUAA-fyN.jpg'],1,1,10,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1200117105078738944,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}]",
1200114129664495617,1200114129664495617,1574964480000,2019-11-28,13:08:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/838946459793960961 …",[],['https://twitter.com/LASACONGRESS/status/838946459793960961'],[],0,0,0,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1200114129664495617,False,https://twitter.com/LASACONGRESS/status/838946459793960961,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1200107460855549953,1200107460855549953,1574962890000,2019-11-28,12:41:30,EST,1485791850,tasteslike_,Léo Boisseau,,"#30DayMapChallenge day 28 : funny
I made a map of France with Kingdomino game's tiles.
I tried to match the types of lands with reality. You can even see big cities (castels) and where I live (blue meeple) ! 😊
@blueorangenews pic.twitter.com/MQqW0aYdzI",['blueorangenews'],[],['https://pbs.twimg.com/media/EKejXdQXkAYIWRP.jpg'],0,1,7,['#30daymapchallenge'],[],https://twitter.com/TastesLike_/status/1200107460855549953,False,,0,,,,,,,"[{'user_id': '1485791850', 'username': 'TastesLike_'}, {'user_id': '3099576928', 'username': 'blueorangenews'}]",
1200105035662872576,1200105035662872576,1574962312000,2019-11-28,12:31:52,EST,14130929,ttso,Tuija Sonkkila,,#30DayMapChallenge Day 28: Funny.  At least I chuckled a bit myself at these funky city bike curves showing hourly departures in April 2019 from Aalto University & Kulosaari metro station respectively. Data via @HRInfoshare Source:  https://github.com/tts/mapchallenge/blob/master/biking.R … #rstats #sf #gganimate pic.twitter.com/bOcyhNiK7o,['hrinfoshare'],['https://github.com/tts/mapchallenge/blob/master/biking.R'],[],0,3,19,"['#30daymapchallenge', '#rstats', '#sf', '#gganimate']",[],https://twitter.com/ttso/status/1200105035662872576,False,,1,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '304376130', 'username': 'HRInfoshare'}]",
1200103941167603712,1191005941547896838,1574962051000,2019-11-28,12:27:31,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge (day 28 / map 28): In commemoration of this week's @UECentroamerica workshop, it's #ThrowbackThursday to some of the first @CopernicusEU #Sentinel1-derived maps we first posted to the Twitterverse back in May 2016.

 https://twitter.com/BZgeo/status/731859966873743360 … pic.twitter.com/myY6EdOCyT","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity', 'mcsalajan', 'czmaibelize']",['https://twitter.com/BZgeo/status/731859966873743360'],['https://pbs.twimg.com/media/EKegJ3NXYAABOfx.jpg'],1,1,2,"['#30daymapchallenge', '#throwbackthursday', '#sentinel1']",[],https://twitter.com/BZgeo/status/1200103941167603712,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}, {'user_id': '1118190446566694912', 'username': 'mcsalajan'}, {'user_id': '1108813370130616321', 'username': 'CZMAIBelize'}]",
1200103291046285313,1200103291046285313,1574961896000,2019-11-28,12:24:56,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 28: Funny
Since it's #Thanksgiving in the US, I made this #map of places with favorite #food items in their names. Turkey, Corn, Pumpkin, and my personal favorite: Cranberry. Yummy!! Enjoy :)
Data from @USGS @USGSTNM, made in #QGIS 3.8 pic.twitter.com/nQQo2SYIEX","['usgs', 'usgstnm']",[],['https://pbs.twimg.com/media/EKefkxkXsAEVJjX.jpg'],0,0,10,"['#30daymapchallenge', '#thanksgiving', '#map', '#food', '#qgis']",[],https://twitter.com/PhilPierdo/status/1200103291046285313,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '14505838', 'username': 'USGS'}, {'user_id': '274818423', 'username': 'USGSTNM'}]",
1200103273321111552,1200103273321111552,1574961891000,2019-11-28,12:24:51,EST,1167821730599096320,lungu_dia,Diana Lungu,,#30DayMapChallenge 🗺 https://twitter.com/lungu_dia/status/1199999276581031936 …,[],['https://twitter.com/lungu_dia/status/1199999276581031936'],[],1,0,5,['#30daymapchallenge'],[],https://twitter.com/Lungu_Dia/status/1200103273321111552,False,https://twitter.com/Lungu_Dia/status/1199999276581031936,0,,,,,,,"[{'user_id': '1167821730599096320', 'username': 'Lungu_Dia'}]",
1200101716101869570,1199999276581031936,1574961520000,2019-11-28,12:18:40,EST,1082711230459060224,maptheclouds,MapTheClouds,,"Fain, poți să o afișezi și cu #30DayMapChallenge 🙂",['lungu_dia'],[],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/maptheclouds/status/1200101716101869570,False,,0,,,,,,,"[{'user_id': '1082711230459060224', 'username': 'maptheclouds'}, {'user_id': '1167821730599096320', 'username': 'Lungu_Dia'}]",
1200094883710742528,1200094883710742528,1574959891000,2019-11-28,11:51:31,EST,1499547780,heikkivesanto,Heikki Vesanto,,"London chicken territories, based on purveyors of fried chicken. #30DayMapChallenge #Day28 #Funny pic.twitter.com/DJZxBOqHrE",[],[],['https://pbs.twimg.com/media/EKeX7PCWsAExEDS.jpg'],3,19,57,"['#30daymapchallenge', '#day28', '#funny']",[],https://twitter.com/HeikkiVesanto/status/1200094883710742528,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1200092227613216769,1190339839729848320,1574959258000,2019-11-28,11:40:58,EST,2749312112,garciaart3,DoctorJ,,"#Day28 #30DayMapChallenge: Funny. Qualities required by the the perfect Latin American (according to an old self deprecating joke).

This is my parting shot map, didn't complete all 30 days but had fun and learned a lot! pic.twitter.com/TUkMqtKVNC","['col_en_datos', 'qgis', 'citibikenyc', 'votobici', 'policiacolombia', 'dadepbogota', 'blancaduranh', 'u2', 'wmvallejo', 'uncolombia', 'simun_unal', 'foursquare', 'redcompleja']",[],['https://pbs.twimg.com/media/EKeVhI2XYAAp4w0.jpg'],1,0,0,"['#day28', '#30daymapchallenge']",[],https://twitter.com/garciaart3/status/1200092227613216769,False,,0,,,,,,,"[{'user_id': '2749312112', 'username': 'garciaart3'}, {'user_id': '996840260683423744', 'username': 'col_en_datos'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '366631688', 'username': 'CitiBikeNYC'}, {'user_id': '722439507845509120', 'username': 'VotoBici'}, {'user_id': '69432342', 'username': 'PoliciaColombia'}, {'user_id': '1197754334', 'username': 'DadepBogota'}, {'user_id': '61916854', 'username': 'blancaduranh'}, {'user_id': '18847632', 'username': 'U2'}, {'user_id': '231899420', 'username': 'WMVallejo'}, {'user_id': '2731985244', 'username': 'UNColombia'}, {'user_id': '722204623709302784', 'username': 'simun_unal'}, {'user_id': '804341497441255424', 'username': 'Foursquare'}, {'user_id': '1133818056956887044', 'username': 'redcompleja'}]",
1200091781515399169,1200091781515399169,1574959151000,2019-11-28,11:39:11,EST,1109071770814951424,ms_pixels,AB Ansah,,"#30DayMapChallenge, Day 19: #Urbansprawl. Urban #Cities keep expanding...@geospatialwomen. pic.twitter.com/tQpEQRXvaM",['geospatialwomen'],[],['https://pbs.twimg.com/media/EKeVGymXYAEUjVA.jpg'],1,6,16,"['#30daymapchallenge', '#urbansprawl', '#cities']",[],https://twitter.com/Ms_Pixels/status/1200091781515399169,False,,0,,,,,,,"[{'user_id': '1109071770814951424', 'username': 'Ms_Pixels'}, {'user_id': '1106538405469540353', 'username': 'geospatialwomen'}]",
1200081813189939201,1200081813189939201,1574956775000,2019-11-28,10:59:35,EST,1151312328635404293,fitness4woman1,Fitness4woman,,"Transform Your Body With 30-day Planking Challenge ! 💪
#transformation #challenge #30DayMapChallenge #Fitness #burnfat #fat #weightloss https://www.fitness4woman.com/30-day-plank-challenge-at-home-for-fat-loss/ …",[],['https://www.fitness4woman.com/30-day-plank-challenge-at-home-for-fat-loss/'],[],0,2,3,"['#transformation', '#challenge', '#30daymapchallenge', '#fitness', '#burnfat', '#fat', '#weightloss']",[],https://twitter.com/Fitness4woman1/status/1200081813189939201,False,,0,,,,,,,"[{'user_id': '1151312328635404293', 'username': 'Fitness4woman1'}]",
1200081498944225280,1200081498944225280,1574956700000,2019-11-28,10:58:20,EST,984961572475981824,samikurani,Sami Kurani,,"#30DayMapChallenge Day 28: Funny

Figured I'd tackle the age old question of ""Why did the 🐔 cross the road"" but look at the *where* of the question instead!
(Done by taking the # of Rds / the count of chickens per census unit)

Made in: QGIS
Source: Statistics Canada

1/2 pic.twitter.com/e3vBFW0e4S",[],[],['https://pbs.twimg.com/media/EKeLweoWsAAlrHA.jpg'],2,0,6,['#30daymapchallenge'],[],https://twitter.com/SamiKurani/status/1200081498944225280,False,,0,,,,,,,"[{'user_id': '984961572475981824', 'username': 'SamiKurani'}]",
1200081226670977026,1200081226670977026,1574956635000,2019-11-28,10:57:15,EST,818719251272003584,agroder_intl,AgroDer Intl,,"Flowing and enduring Nature...
Free Flowing #Rivers, Intact #Forest Landscapes and #Mangroves
#30DayMapChallenge pic.twitter.com/TFGHMRJhCm",[],[],['https://pbs.twimg.com/media/EKeLgiPXYAAAEGz.jpg'],0,5,9,"['#rivers', '#forest', '#mangroves', '#30daymapchallenge']",[],https://twitter.com/AgroDer_Intl/status/1200081226670977026,False,,0,,,,,,,"[{'user_id': '818719251272003584', 'username': 'AgroDer_Intl'}, {'user_id': '1068583902112038912', 'username': 'Global_HydroLAB'}, {'user_id': '140802402', 'username': 'IUCN_Water'}, {'user_id': '269978527', 'username': 'foresttrendsorg'}, {'user_id': '862936300063571969', 'username': 'WWFLeadWater'}, {'user_id': '57759275', 'username': 'intlrivers'}, {'user_id': '142676044', 'username': 'theriverstrust'}, {'user_id': '3227794411', 'username': 'GuentherGrill'}, {'user_id': '2179676321', 'username': 'MicheleThieme'}, {'user_id': '2569861772', 'username': 'SASalinasRodrig'}, {'user_id': '143098314', 'username': 'forestsdialogue'}]",
1200078070285324288,1200078070285324288,1574955882000,2019-11-28,10:44:42,EST,34737662,positium,Positium,,"Day 28 (funny): Last year, one of our colleagues moved to #Iceland to continue her studies. The team made her a #map so that she could safely navigate the new country and find her way home.
#30DayMapChallenge #HomeAndAway pic.twitter.com/NwiQH2YNiY",[],[],['https://pbs.twimg.com/media/EKeIokCXsAABZPN.jpg'],0,1,14,"['#iceland', '#map', '#30daymapchallenge', '#homeandaway']",[],https://twitter.com/positium/status/1200078070285324288,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1200076977551613953,1200076977551613953,1574955622000,2019-11-28,10:40:22,EST,849848366372671488,geointmerida,Mérida Geoint,,#30DayMapChallenge  Mapa de tweets georeferenciados en Mexico. pic.twitter.com/MZNLKB8fXq,[],[],['https://pbs.twimg.com/media/EKeHpgRWwAAwtNT.jpg'],0,1,7,['#30daymapchallenge'],[],https://twitter.com/GeointMerida/status/1200076977551613953,False,,0,,,,,,,"[{'user_id': '849848366372671488', 'username': 'GeointMerida'}]",
1200076382514089985,1200076382514089985,1574955480000,2019-11-28,10:38:00,EST,8655552,mgc,Manel Guerra,,"Si us agraden els mapes, seguiu el #30DayMapChallenge
Xalareu segur.",[],[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/mgc/status/1200076382514089985,False,,0,,,,,,,"[{'user_id': '8655552', 'username': 'mgc'}]",
1200070179805450241,1200070179805450241,1574954001000,2019-11-28,10:13:21,EST,13215962,jerry_shannon,Jerry Shannon,,"LOL! Here's a word cloud of the most common words in tweets containing ""lol"" in the U.S. I'm an #rstats native, but Python's wordcloud worked much better in this case for the masking to the shape of the U.S. Still working on frequency counts. #30DayMapChallenge, day 28: funny. pic.twitter.com/qvqYeWiNyF",[],[],['https://pbs.twimg.com/media/EKeBd19WoAAa-4Z.jpg'],2,1,10,"['#rstats', '#30daymapchallenge']",[],https://twitter.com/jerry_shannon/status/1200070179805450241,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}]",
1200069249437503489,1200069249437503489,1574953779000,2019-11-28,10:09:39,EST,2574612668,hireuter,hannes reuter,,#30DayMapChallenge 28. Funny - A selection of funny comments recorded in the LUCAS survey (~900 people2survey ~330k points) -info: https://europa.eu/!yh33UK  -data: https://europa.eu/!db88PJ   -vis(only 2015): https://europa.eu/!YH99KF  -contrib by @EU_Eurostat E4 #GISCO #LUCAS- 2days2go pic.twitter.com/D82eZDSQOX,['eu_eurostat'],"['https://europa.eu/!yh33UK', 'https://europa.eu/!db88PJ', 'https://europa.eu/!YH99KF']",['https://pbs.twimg.com/media/EKeAnUnXUAETaTR.jpg'],4,6,13,"['#30daymapchallenge', '#gisco', '#lucas']",[],https://twitter.com/hireuter/status/1200069249437503489,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1200066662331899904,1200066662331899904,1574953163000,2019-11-28,09:59:23,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 28. Funny

Geographic locations are mentioned in numerous songs and we plotted some of the most iconic tracks on the map below. Do you recognize all of the songs? 😀

Interactive 👉🏻 https://t.localfocus.nl/?19bf01e  pic.twitter.com/mQm4z1Tlqa",[],['https://t.localfocus.nl/?19bf01e'],['https://pbs.twimg.com/media/EKd-Q_VXYAEaC5S.jpg'],0,2,2,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1200066662331899904,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1200066524289085440,1200066524289085440,1574953130000,2019-11-28,09:58:50,EST,32283900,borismericskay,Boris Mericskay,,"#30DayMapChallenge  28. Funny !

✅More and more people are making maps with #R ... me now, I'm making maps with #Excel 😅

> Railroad crossing in France (Open Dataset by @SNCFReseau)  https://ressources.data.sncf.com/explore/dataset/liste-des-passages-a-niveau/map/?basemap=63a416&location=6,46.9227,1.8622 … pic.twitter.com/n8LmlLFwp3",['sncfreseau'],"['https://ressources.data.sncf.com/explore/dataset/liste-des-passages-a-niveau/map/?basemap=63a416&location=6,46.9227,1.8622']",['https://pbs.twimg.com/media/EKd-HNMW4AA5F7h.png'],1,1,27,"['#30daymapchallenge', '#r', '#excel']",[],https://twitter.com/BorisMericskay/status/1200066524289085440,False,,0,,,,,,,"[{'user_id': '32283900', 'username': 'BorisMericskay'}, {'user_id': '2821224219', 'username': 'SNCFReseau'}]",
1200066515669790722,1200066515669790722,1574953128000,2019-11-28,09:58:48,EST,27186708,jccpmx,Carlos Cortés,,"Personas que viven a más de 3 mil metros de altura y personas que viven cerca del mar.
fuente: mapas de densidad de población de #facebook.
#30DayMapChallenge Statistics Population pic.twitter.com/PnKIinsHEM",[],[],['https://pbs.twimg.com/media/EKd-IilW4AA7yq9.jpg'],1,4,17,"['#facebook', '#30daymapchallenge']",[],https://twitter.com/jccpmx/status/1200066515669790722,False,,0,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1200064808185409539,1199834477339402241,1574952721000,2019-11-28,09:52:01,EST,836653702182207492,elio_javi,Javier Elío,,"I've picked up some buildings, it is really easy to login and get to work. Great initiative @hotosm!!

#30DayMapChallenge #maps #GIS pic.twitter.com/x63IFruIFq","['giscorps', 'hotosm']",[],['https://pbs.twimg.com/media/EKd8hVFWoAE1squ.jpg'],0,0,1,"['#30daymapchallenge', '#maps', '#gis']",[],https://twitter.com/Elio_Javi/status/1200064808185409539,False,,0,,,,,,,"[{'user_id': '836653702182207492', 'username': 'Elio_Javi'}, {'user_id': '286931902', 'username': 'GISCorps'}, {'user_id': '147493361', 'username': 'hotosm'}]",
1200059485642985473,1200059485642985473,1574951452000,2019-11-28,09:30:52,EST,140068360,geomniuk,GeomniUK,,"Day 28 of the #30DayMapChallenge - Funny

If you're looking for a good laugh then where better to head to than a Comedy Club?

This map shows the locations of Comedy Clubs across Central London and it suggests that Leicester Square is the funniest place in the capital! pic.twitter.com/IJHXf9T9Op",[],[],['https://pbs.twimg.com/media/EKd3vYHXkAI1-lG.jpg'],0,1,3,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1200059485642985473,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1200052599963160576,1200052599963160576,1574949810000,2019-11-28,09:03:30,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge Day 28: Funny - Save the Goondocks
Tools:@ArcGISPro (pirate style @JohnNelson) and Illustrator (One-eye’d Willy’s Map from Muggle Magic)
""Ye intruders beware.
Crushing death and grief,
Soaked with blood,
Of the trespassing thief.""
#savethegoondocks #goonies pic.twitter.com/srEqMcba2l","['arcgispro', 'johnnelson']",[],['https://pbs.twimg.com/media/EKdxeNzWsAAR085.jpg'],1,0,11,"['#30daymapchallenge', '#savethegoondocks', '#goonies']",[],https://twitter.com/CRVanPollard/status/1200052599963160576,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}, {'user_id': '14602056', 'username': 'JohnNelson'}]",
1200047223976943616,1200047223976943616,1574948528000,2019-11-28,08:42:08,EST,5685812,hrbrmstr,boB Rudis,,"For today's #30DayMapChallenge (""Funny"") I rly didn't want to just map places on a map that were amusing or had amusement parks or had something related to ""fun"" in their names or rely on distorted features. 1/5",[],[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/hrbrmstr/status/1200047223976943616,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1200046682030915584,1200046682030915584,1574948399000,2019-11-28,08:39:59,EST,982429849,pedro_com_es,Pedro Suárez,,"#30DayMapChallenge día funny.

Un año en la vida de 15 elefantes africanos en el parque nacional Etosha de Namibia.

Study Name: African elephants in Etosha National Park (data from Tsalyuk et al. 2018)

Fuentes: @NASAEarthData y @MovebankTeam pic.twitter.com/FlTnrIBfkL","['nasaearthdata', 'movebankteam']",[],[],2,2,20,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1200046682030915584,False,,1,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '2282667775', 'username': 'NASAEarthData'}, {'user_id': '4835232609', 'username': 'MovebankTeam'}]",
1200040394093936640,1200040394093936640,1574946900000,2019-11-28,08:15:00,EST,276280627,pnelson917,Patrick Nelson,,Day 28 of the #30DayMapChallenge :  Funny…Some bad map humor for Thanksgiving Day in the US at the expense of all my friends in Turkiye  #IMNOS pic.twitter.com/w9S8IafOVq,[],[],['https://pbs.twimg.com/media/EKCR5K8U8AAUX5M.jpg'],0,0,4,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1200040394093936640,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}]",
1200037406994554880,1200037406994554880,1574946188000,2019-11-28,08:03:08,EST,797871767809380352,adibop_,A. D. Mac,,"#30daymapchallenge
25 - climate

koppen-geiger climate classification showing another 3 different global projections in #tableau. #alteryx used for reprojections.
#nomorewgs84
▶️ https://public.tableau.com/views/Koppen-GeigerClimateClassification/HoboDash?:display_count=y&publish=yes&:origin=viz_share_link … pic.twitter.com/foq7jBmQPP",[],['https://public.tableau.com/views/Koppen-GeigerClimateClassification/HoboDash?:display_count=y&publish=yes&:origin=viz_share_link'],"['https://pbs.twimg.com/media/EKdjp0nXUAAsBVh.jpg', 'https://pbs.twimg.com/media/EKdjp0nWwAA7WJJ.jpg', 'https://pbs.twimg.com/media/EKdjp0mWwAMR3pU.jpg']",0,0,2,"['#30daymapchallenge', '#tableau', '#alteryx', '#nomorewgs84']",[],https://twitter.com/AdiBop_/status/1200037406994554880,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1200037247267069954,1200037247267069954,1574946150000,2019-11-28,08:02:30,EST,732218664875753472,gis4teachers,GIS for Education,,"#30daymapchallenge day 28 is 'funny'. Hmmmm 🤔 This map activity is fun AND some would consider finding a #sasquatch in #BC rather funny! Great for #elementary #students learning about regional & historical places, animals and icons across #Canada:  https://edu.maps.arcgis.com/apps/webappviewer/index.html?id=50e049fe3fb94a9eadc1602a7954af2c … pic.twitter.com/v8Z4Bnslbq",[],['https://edu.maps.arcgis.com/apps/webappviewer/index.html?id=50e049fe3fb94a9eadc1602a7954af2c'],[],0,1,5,"['#30daymapchallenge', '#sasquatch', '#bc', '#elementary', '#students', '#canada']",[],https://twitter.com/GIS4Teachers/status/1200037247267069954,False,,1,,,,,,,"[{'user_id': '732218664875753472', 'username': 'GIS4Teachers'}]",
1200028518593245184,1200028518593245184,1574944068000,2019-11-28,07:27:48,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day28: Fun

Pipi like a STAR

Rennes, stations vélo STAR qui se situent à moins de 150m d'un toilette public de la ville (pts jaunes). Parfaite information pour des retours de soirée arrosée et rester éco-responsable et hygiénique !

@STARmeparle pic.twitter.com/anQRymo9MF",['starmeparle'],[],['https://pbs.twimg.com/media/EKdbknRWwAAKHKA.jpg'],1,0,1,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1200028518593245184,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}, {'user_id': '97690422', 'username': 'STARmeparle'}]",
1200024255603326977,1200024255603326977,1574943052000,2019-11-28,07:10:52,EST,65125461,bplmaps,Leventhal Map & Education Center at the BPL,,"This caricature was one of a series of 12 #maps that Lilian Lancaster illustrated as a young girl to entertain her sick brother. Each map was a stereotyped drawing that took on the shape and boundary of each country. #30DayMapChallenge
#Funny pic.twitter.com/vkIwlCbgF9",[],[],['https://pbs.twimg.com/media/EKdXjgGXYAEFE_V.jpg'],1,1,11,"['#maps', '#30daymapchallenge', '#funny']",[],https://twitter.com/bplmaps/status/1200024255603326977,False,,0,,,,,,,"[{'user_id': '65125461', 'username': 'bplmaps'}]",
1200021921968119808,1190253562267340800,1574942496000,2019-11-28,07:01:36,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 28 (funny): You will never look at Austria on a map in the same way after this
 https://pudding.cool/2019/04/eu-regions/ … pic.twitter.com/ByKRBS4JLX","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper', 'karim_douieb', 'datawrapper']",['https://pudding.cool/2019/04/eu-regions/'],"['https://pbs.twimg.com/media/EKdVkpyWoAA2gb-.jpg', 'https://pbs.twimg.com/media/EKdVkpzXYAEugdf.jpg', 'https://pbs.twimg.com/media/EKdVkpzWkAEH47o.png', 'https://pbs.twimg.com/media/EKdVkp0W4AALdlm.png']",4,1,20,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1200021921968119808,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}, {'user_id': '2600429268', 'username': 'karim_douieb'}, {'user_id': '500573974', 'username': 'Datawrapper'}]",
1200016010574749697,1200016010574749697,1574941086000,2019-11-28,06:38:06,EST,923519114936832003,paola_barbarbo,Paola Barajas Barbos,,"Day 28 Funny: Cómo ir de Repende a Kagar.
#30DayMapChallenge
Two small towns 90 km away from Berlin make the funniest sentence in Spanish, if you want to one after the other. This translates: ""How to suddenly crap"" and my favourite ""Wie geht man plötzlich kacken"" #lovegermany pic.twitter.com/oiOQKjcQj6",[],[],['https://pbs.twimg.com/media/EKdQMndWkAEo5ND.jpg'],2,0,3,"['#30daymapchallenge', '#lovegermany']",[],https://twitter.com/Paola_barbarbo/status/1200016010574749697,False,,0,,,,,,,"[{'user_id': '923519114936832003', 'username': 'Paola_barbarbo'}]",
1200014109590401024,1200014109590401024,1574940633000,2019-11-28,06:30:33,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 25. Climate🥵🥶
For the climate day i map extreme temperature data from the @CREDUCL
2014-2019
42 countries
>5Mio people got affected
>10.000 people dead

#maps #rstats #ggplot #eu #climate #FridaysForFuture #temperature #Heatwave #sdg13 #SDGs #ClimateChange pic.twitter.com/iwQG8yR4nm",['creducl'],[],['https://pbs.twimg.com/media/EKdOd-iWoAArVJG.jpg'],0,3,3,"['#30daymapchallenge', '#maps', '#rstats', '#ggplot', '#eu', '#climate', '#fridaysforfuture', '#temperature', '#heatwave', '#sdg13', '#sdgs', '#climatechange']",[],https://twitter.com/bettermeasured/status/1200014109590401024,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}, {'user_id': '2382014892', 'username': 'CREDUCL'}]",
1200011199649374208,1200011199649374208,1574939939000,2019-11-28,06:18:59,EST,43953969,jwolondon,Jo Wood,,"Day 28: Funny

I need to take good long look at my behaviour.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d28Funny.md …
#30DayMapChallenge pic.twitter.com/sdJcKEse9Y",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d28Funny.md'],['https://pbs.twimg.com/media/EKdL0ljXYAMZdze.jpg'],1,1,25,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1200011199649374208,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1199998984942759936,1199998984942759936,1574937027000,2019-11-28,05:30:27,EST,140068360,geomniuk,GeomniUK,,"Day 28 of the #30DayMapChallenge - Funny

Look what’s visible from our latest imagery – the Blackpool comedy carpet – one of the largest pieces of public art in the UK.

It is made up of jokes and comedy catchphrases from many of Britain’s most well-loved comedians.

Funny? pic.twitter.com/tnun6aW1oB",[],[],"['https://pbs.twimg.com/media/EKdAtpIW4AAVMIs.jpg', 'https://pbs.twimg.com/media/EKdAto6WsAE61VN.jpg']",0,1,1,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1199998984942759936,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1199995003709214723,1199995003709214723,1574936078000,2019-11-28,05:14:38,EST,33788841,dakvid,suǝbbıɹɟ pıʌɐp,,Day 1 of #30DayMapChallenge (Points). Where were New Zealand Prime Ministers born? #QGIS pic.twitter.com/OWVWMlE9Zv,[],[],['https://pbs.twimg.com/media/EKc9FlmU8AAbhGl.jpg'],0,0,1,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/dakvid/status/1199995003709214723,False,,0,,,,,,,"[{'user_id': '33788841', 'username': 'dakvid'}]",
1199981305838080000,1199981305838080000,1574932812000,2019-11-28,04:20:12,EST,22146490,joriseekhout,Joris Eekhout,,"Day 28 (funny): Today's map was mostly made by a next generation map maker, so I'm cheating a bit. In any case, we had a lot of fun! #30DayMapChallenge pic.twitter.com/7Lqah40sEd",[],[],['https://pbs.twimg.com/media/EKcwnsiX0AEWlDB.jpg'],0,1,9,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1199981305838080000,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1199970029091131394,1199970029091131394,1574930123000,2019-11-28,03:35:23,EST,153718180,craigtaylorgis,Craig Taylor,,"#30DayMapChallenge Day 28: Funny 🐕‍🦺🌽

Lost in Maize!
This isn't new but looking back was pretty funny (not at the time!) Here is a quick visualisation of what happened when my dog Bryn got lost in a maize field. 🟠=🐶 🔵=🚶‍♂️ 🟢=distance

#maps #3d #animation #dogsoftwitter pic.twitter.com/rdDBHZgwoR",[],[],[],1,5,60,"['#30daymapchallenge', '#maps', '#3d', '#animation', '#dogsoftwitter']",[],https://twitter.com/CraigTaylorGIS/status/1199970029091131394,False,,1,,,,,,,"[{'user_id': '153718180', 'username': 'CraigTaylorGIS'}]",
1199966768200110080,1199966768200110080,1574929346000,2019-11-28,03:22:26,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge

Dia 28. Funny
Es una pena que @googleearth haya retirado las imágenes del descubrimiento de la #Atlántida en el #Atlántico. pic.twitter.com/OTvyWHX3gw",['googleearth'],[],['https://pbs.twimg.com/media/EKcjaZSX0AEL0Xw.jpg'],0,0,2,"['#30daymapchallenge', '#atlántida', '#atlántico']",[],https://twitter.com/BurriezaMateos/status/1199966768200110080,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}, {'user_id': '31285982', 'username': 'googleearth'}]",
1199966499294695424,1199966499294695424,1574929282000,2019-11-28,03:21:22,EST,822048926081712128,cchurchili,Carl Churchill,,#30DayMapChallenge For todays challenge I tackled a ambitious full map of #NewZealand. Lot of work but I think it paid off. pic.twitter.com/MQQloHoIm5,[],[],['https://pbs.twimg.com/media/EKcjK8AUwAA1BGi.jpg'],2,1,18,"['#30daymapchallenge', '#newzealand']",[],https://twitter.com/Cchurchili/status/1199966499294695424,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1199964895187472384,1199964895187472384,1574928899000,2019-11-28,03:14:59,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 28 - Funny

What do you get when you create a route linking all of the UK prisons?

A CONtour map! pic.twitter.com/TlOmRUKr9H",[],[],['https://pbs.twimg.com/media/EKchprFXUAEXe6F.jpg'],3,1,16,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1199964895187472384,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1199961675262132224,1199961675262132224,1574928132000,2019-11-28,03:02:12,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 28: Fun
Originally did this for a workmate who was heading over to oz, I think it should become an official map series pic.twitter.com/2XkP2YFOnE",[],[],['https://pbs.twimg.com/media/EKcenVMU0AEYtQ5.jpg'],4,11,64,['#30daymapchallenge'],[],https://twitter.com/Generally_Geo/status/1199961675262132224,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}]",
1199960174313820161,1199960174313820161,1574927774000,2019-11-28,02:56:14,EST,269294137,michelstuyts,Michel Stuyts 🌍,,#30DayMapChallenge day 28: The MultiMercator Globe // #funny pic.twitter.com/u65Z1ATZKK,[],[],[],0,0,6,"['#30daymapchallenge', '#funny']",[],https://twitter.com/michelstuyts/status/1199960174313820161,False,,1,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}]",
1199959150756868096,1199959150756868096,1574927530000,2019-11-28,02:52:10,EST,47698876,evelynuuemaa,Evelyn,,"#30DayMapChallenge 28. Funny: Icy Estonian counties - the last few days Estonia has been literally covered by ice, so I made a little cartographic representation of the feels 😆❄️🌨️ pic.twitter.com/ryBbp2LB5M",[],[],['https://pbs.twimg.com/media/EKccecHWsAAWR0r.jpg'],0,1,20,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1199959150756868096,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1199958290622382080,1199958290622382080,1574927325000,2019-11-28,02:48:45,EST,1119202751718645760,vinodhdataart,Vinodh kumar V R,,"#30DayMapChallenge

26 - Hydrology

""River Nile and its Basin

@tableaupublic @Mapbox
 https://public.tableau.com/views/HYDROLOGYNILERIVER/Dashboard1?:display_count=y&publish=yes&:origin=viz_share_link … pic.twitter.com/dWanWEDmzV","['tableaupublic', 'mapbox']",['https://public.tableau.com/views/HYDROLOGYNILERIVER/Dashboard1?:display_count=y&publish=yes&:origin=viz_share_link'],['https://pbs.twimg.com/media/EKcbsE0UUAAoAD-.jpg'],0,1,16,['#30daymapchallenge'],[],https://twitter.com/VinodhDataArt/status/1199958290622382080,False,,0,,,,,,,"[{'user_id': '1119202751718645760', 'username': 'VinodhDataArt'}, {'user_id': '519769200', 'username': 'tableaupublic'}, {'user_id': '55236002', 'username': 'Mapbox'}]",
1199954578437025793,1199954578437025793,1574926440000,2019-11-28,02:34:00,EST,138083232,swiss_geoportal,geo.admin.ch,,"[EN]  ""Root"" #Switzerland is where all admins live -  https://s.geo.admin.ch/85b0705b2c   everyone has a root account #funny #30DayMapChallenge pic.twitter.com/VX5KbUJvnU",[],['https://s.geo.admin.ch/85b0705b2c'],['https://pbs.twimg.com/media/EJwiazjWoAA4Jqa.png'],0,8,22,"['#switzerland', '#funny', '#30daymapchallenge']",[],https://twitter.com/swiss_geoportal/status/1199954578437025793,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}]",
1199953619619139584,1199953619619139584,1574926211000,2019-11-28,02:30:11,EST,2198358416,tjukanov,Topi Tjukanov,,"I think I had a great idea for the #30DayMapChallenge today, but country codes cause more problems than you might think. I'll just leave this here. Fits today's theme. pic.twitter.com/6b10q7CKxx",[],[],['https://pbs.twimg.com/media/EKcXdELXsAAc9gq.jpg'],6,2,44,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1199953619619139584,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1199953172078317571,1199953172078317571,1574926104000,2019-11-28,02:28:24,EST,165669854,williamscraigm,Craig Williams,,#30DayMapChallenge Day 27: Resources. Tahualtapa aka Mount Slover has been reduced to a small hill due to mining. I traced 1896 contours to recreate the mountain in 3D to get some perspective on its original stature. pic.twitter.com/XN2FMQ1nPt,[],[],['https://pbs.twimg.com/media/EKcXC4kVAAAZNqR.jpg'],0,1,4,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1199953172078317571,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1199952952280010753,1199952952280010753,1574926052000,2019-11-28,02:27:32,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,"Spotted a world map within our world 😱- an archipelago with countries as islets in Persian Gulf #30DayMapChallenge

More reading:  https://en.wikipedia.org/wiki/The_World_(archipelago) … pic.twitter.com/Yt1QqjItk5",[],['https://en.wikipedia.org/wiki/The_World_(archipelago)'],"['https://pbs.twimg.com/media/EKcW2C9U8AAi3zz.png', 'https://pbs.twimg.com/media/EKcW2C-VAAAneuE.png']",0,0,6,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1199952952280010753,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}]",
1199952461110349825,1199952461110349825,1574925935000,2019-11-28,02:25:35,EST,1193170442,geobeerch,GeoBeer Switzerland,,"Day 28 of #30DayMapChallenge: funny. Not sure our events map qualifies, but we hope it has a certain whimsy with its MarkerClusters 🙂  https://geobeer.github.io/geobeer-analytics/geobeer-map/index.html … pic.twitter.com/gUqIly6bO6",[],['https://geobeer.github.io/geobeer-analytics/geobeer-map/index.html'],['https://pbs.twimg.com/media/EKcWQM_WoAExb97.jpg'],1,0,2,['#30daymapchallenge'],[],https://twitter.com/GeoBeerCH/status/1199952461110349825,False,,0,,,,,,,"[{'user_id': '1193170442', 'username': 'GeoBeerCH'}]",
1199947762307141637,1199947762307141637,1574924815000,2019-11-28,02:06:55,EST,359015182,7javier6,Javier,,#30DayMapChallenge day 27  Photovoltaic production since 1998 @ddiazescandon pic.twitter.com/ScDgMu4cw2,['ddiazescandon'],[],[],0,1,2,['#30daymapchallenge'],[],https://twitter.com/7Javier6/status/1199947762307141637,False,,1,,,,,,,"[{'user_id': '359015182', 'username': '7Javier6'}, {'user_id': '85232878', 'username': 'ddiazescandon'}]",
1199942359057723392,1199942359057723392,1574923526000,2019-11-28,01:45:26,EST,14851579,_kyliejane,Kylie Wilson,,"Day 20 rural #30dayMapChallenge Yeah skipped some days but still determined to do them all :) For now doing what I had ideas & could find data for.

Geo-referenced an 1894 map, hillshade, water to see the differences. pic.twitter.com/kVImZwUaq3",[],[],['https://pbs.twimg.com/media/EKcNMrBUcAIfVir.jpg'],1,0,4,['#30daymapchallenge'],[],https://twitter.com/_kyliejane/status/1199942359057723392,False,,0,,,,,,,"[{'user_id': '14851579', 'username': '_kyliejane'}]",
1199933331611119616,1199933331611119616,1574921374000,2019-11-28,01:09:34,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 28 of #30DayMapChallenge: funny

The last laugh, cemeteries in New Zealand. LINZ data + #Rstats.

Code:  https://gist.github.com/zentree/35df170756aca653c76cd8f55105b344 … pic.twitter.com/TvDIPq0ARI",[],['https://gist.github.com/zentree/35df170756aca653c76cd8f55105b344'],['https://pbs.twimg.com/media/EKcE_xyUYAAdFP3.jpg'],1,2,5,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/zentree/status/1199933331611119616,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}]",
1199931957959888896,1199931957959888896,1574921047000,2019-11-28,01:04:07,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Funny. My previous maps have been dead-serious. Time to loosen up and do something funny, and by funny I mean stupid. Fortunately, this map won't translate to English. Suomalaisten suosikkimatkakohde eli Thaimaase. #30DayMapChallenge #thaimaase #suomi #matkailu #kieli #kotus pic.twitter.com/RWaLqqwctV",[],[],['https://pbs.twimg.com/media/EKcDv_XXUAATrPB.jpg'],0,0,6,"['#30daymapchallenge', '#thaimaase', '#suomi', '#matkailu', '#kieli', '#kotus']",[],https://twitter.com/AlsuhailFaris/status/1199931957959888896,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}]",
1199931144965365760,1199931144965365760,1574920853000,2019-11-28,01:00:53,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Dia 27. Recursos (Resources).

El agua es un recurso vital para la ciudad, y el subsuelo es fuente de más de la mitad de este recurso para la #CDMX.

En este mapa vemos como esta ciudad y su Zona Metropolitana ya se están acabando los acuíferos circundantes. pic.twitter.com/2XtNRg5xTA",[],[],['https://pbs.twimg.com/media/EKcDAvIWoAAdKyM.jpg'],1,5,13,"['#30daymapchallenge', '#cdmx']",[],https://twitter.com/JuvenalCamposF/status/1199931144965365760,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}]",
1199930411712991234,1199930411712991234,1574920678000,2019-11-28,00:57:58,EST,730671321965854721,jsoksanen,Juha Oksanen,,"Kiitos @jnurmisensaatio upeasta tutustumiskierroksesta säätiön historiallisten karttojen kokoelmaan! Pikkujoulukeskusteluissa kartoilla vaikuttaminen, #geoforum, ”paljon kyliä”, #30DayMapChallenge - #suomenkartografinenseura #pikkujoulut #cartographicsocietyoffinland pic.twitter.com/cELiBIoMkP",['jnurmisensaatio'],[],"['https://pbs.twimg.com/media/EKcCV8NXUAAfHAN.jpg', 'https://pbs.twimg.com/media/EKcCV8MWwAEHqEw.jpg', 'https://pbs.twimg.com/media/EKcCV9dXUAADvge.jpg', 'https://pbs.twimg.com/media/EKcCWBVW4AEUyfS.jpg']",0,2,14,"['#geoforum', '#30daymapchallenge', '#suomenkartografinenseura', '#pikkujoulut', '#cartographicsocietyoffinland']",[],https://twitter.com/jsoksanen/status/1199930411712991234,False,,0,,,,,,,"[{'user_id': '730671321965854721', 'username': 'jsoksanen'}, {'user_id': '382585312', 'username': 'jnurmisensaatio'}]",
1199927798934179842,1199927798934179842,1574920055000,2019-11-28,00:47:35,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 28. Funny

Crepes on a waffle

Made with #QGIS pic.twitter.com/cMsF8qEyG5",[],[],['https://pbs.twimg.com/media/EKb_7DmXYAArOXv.jpg'],4,9,52,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1199927798934179842,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1199919795631575042,1199919795631575042,1574918147000,2019-11-28,00:15:47,EST,115085551,drasquinha,^_^,,"Finally got some time to catch up with the #30DayMapChallenge. Animated @Team_eBird data for my field site, Bhitarkanika, India. The recordings are seasonal, mostly from Oct to March, concentrated near the forest guest house area. A lot of enthu birders [tourists] here. pic.twitter.com/wx6jyP2NOV",['team_ebird'],[],[],1,0,3,['#30daymapchallenge'],[],https://twitter.com/drasquinha/status/1199919795631575042,False,,1,,,,,,,"[{'user_id': '115085551', 'username': 'drasquinha'}, {'user_id': '30290980', 'username': 'Team_eBird'}]",
1199914371134177280,1190472318885208064,1574916854000,2019-11-27,23:54:14,EST,237889929,denisedslu,ಠ_ಠ,,Day 25 of #30DayMapChallenge – Climate. Here’s effects of climate change on rice yields across the globe. pic.twitter.com/jCSp75FWlH,[],[],[],1,0,3,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1199914371134177280,False,,1,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1199909998429499392,1199909998429499392,1574915811000,2019-11-27,23:36:51,EST,3346807874,emmavitz,Emma Vitz,,"Day 28 of the #30DayMapChallenge with the theme Funny! I decided to find the most common dog breeds in New Zealand, and the names that those breeds are most likely to have #rstats #rspatial pic.twitter.com/S1SQQ3fRym",[],[],"['https://pbs.twimg.com/media/EKbvx2kVUAA55FD.png', 'https://pbs.twimg.com/media/EKbvx2kU8AAYxcO.png']",5,6,18,"['#30daymapchallenge', '#rstats', '#rspatial']",[],https://twitter.com/EmmaVitz/status/1199909998429499392,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1199901678960619520,1199901678960619520,1574913828000,2019-11-27,23:03:48,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 27 #Resources
👩‍💻 Diseño gráfico en la Ciudad de México
#QGIS pic.twitter.com/HvpaUWsB7M",[],[],['https://pbs.twimg.com/media/EKboNN2X0AE3WHr.jpg'],0,2,10,"['#30daymapchallenge', '#resources', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1199901678960619520,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1199899140508901376,1199899140508901376,1574913222000,2019-11-27,22:53:42,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 28 of #30DayMapChallenge – Funny:

Kowhai Park Senic Reserve [sic], next door to Literacy Waitākere pic.twitter.com/5vtUpeO2u8",[],[],['https://pbs.twimg.com/media/EKbl58jUUAA6IlK.jpg'],1,0,0,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1199899140508901376,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1199883074210684928,1199883074210684928,1574909392000,2019-11-27,21:49:52,EST,1061337403795791872,cmjonestodd,C. M. Jones-Todd,,"NZ sculptures for @geospatialwomen's #30DayMapChallenge 😄😆

Made using @millerdl's excellent R 📦 emoGG. pic.twitter.com/JbowTnhiUU","['geospatialwomen', 'millerdl']",[],['https://pbs.twimg.com/media/EKbXSzlVAAAN50C.png'],1,0,6,['#30daymapchallenge'],[],https://twitter.com/cmjonestodd/status/1199883074210684928,False,,0,,,,,,,"[{'user_id': '1061337403795791872', 'username': 'cmjonestodd'}, {'user_id': '1106538405469540353', 'username': 'geospatialwomen'}, {'user_id': '14118591', 'username': 'millerdl'}]",
1199882595850432512,1191005941547896838,1574909278000,2019-11-27,21:47:58,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge (day 27 / map 27): A very simplistic map showing #Belize's mainland and cayes (islands) in green, territorial sea in blue, and exclusive economic zone in dark blue. pic.twitter.com/LkQp38zr4P","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity', 'mcsalajan', 'czmaibelize']",[],['https://pbs.twimg.com/media/EKbW3CyX0AoUsFA.png'],2,0,3,"['#30daymapchallenge', '#belize']",[],https://twitter.com/BZgeo/status/1199882595850432512,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}, {'user_id': '1118190446566694912', 'username': 'mcsalajan'}, {'user_id': '1108813370130616321', 'username': 'CZMAIBelize'}]",
1199881041403617280,1199881041403617280,1574908907000,2019-11-27,21:41:47,EST,5685812,hrbrmstr,boB Rudis,,"Fair warning: I'm very loosely interpreting Thursday's ""Funny"" topic for the #30DayMapChallenge",[],[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/hrbrmstr/status/1199881041403617280,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1199865288688308224,1199865288688308224,1574905151000,2019-11-27,20:39:11,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 25 - Climate: ""Precipitation of the wettest month"" via CHELSA project (high resolution climatologies, 1979-2013,  http://chelsa-climate.org/ ). India is striking here. The brightest spot is the Indian state of Meghalaya, one of the wettest regions in the world. pic.twitter.com/pAOHfszMrN",[],['http://chelsa-climate.org/'],['https://pbs.twimg.com/media/EKbHB0GWoAAfCez.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1199865288688308224,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1199860782072246277,1199860782072246277,1574904077000,2019-11-27,20:21:17,EST,849848366372671488,geointmerida,Mérida Geoint,,"Misoginia en textos de twitter.
 http://mid.geoint.mx/MAPS/misoginiamap/ …
#30DayMapChallenge #ViolenceAgainstWomen #ViolenciaContraLasMujeres #ViolenciaContraLaMujer #ViolenciaMachista pic.twitter.com/GLNzmpkEsf",[],['http://mid.geoint.mx/MAPS/misoginiamap/'],[],0,0,1,"['#30daymapchallenge', '#violenceagainstwomen', '#violenciacontralasmujeres', '#violenciacontralamujer', '#violenciamachista']",[],https://twitter.com/GeointMerida/status/1199860782072246277,False,,1,,,,,,,"[{'user_id': '849848366372671488', 'username': 'GeointMerida'}]",
1199853592733196289,1199853592733196289,1574902363000,2019-11-27,19:52:43,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 24. Statistics
What is culture? For the statistics day i #dataviz 2 surveys that asked 40K+ people in 43 countries this question

#maps #rstats #ggplot #eu #culture #mena #russia #arts #spain #poland #germany #egypt #italy #ukraine #portugal #europe #ireland pic.twitter.com/fguLRmD41H",[],[],['https://pbs.twimg.com/media/EKa8epSXsAUN4cv.jpg'],0,3,5,"['#30daymapchallenge', '#dataviz', '#maps', '#rstats', '#ggplot', '#eu', '#culture', '#mena', '#russia', '#arts', '#spain', '#poland', '#germany', '#egypt', '#italy', '#ukraine', '#portugal', '#europe', '#ireland']",[],https://twitter.com/bettermeasured/status/1199853592733196289,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}]",
1199852140614836224,1190475062362677248,1574902017000,2019-11-27,19:46:57,EST,379176102,daniel_isita,D.,,"22. Built Environment
#30DayMapChallenge

The different roads of North America.
#qgis #roads #northamerica #mexico #maporn pic.twitter.com/8rS6zbIkqX","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina', 'globalforests']",[],['https://pbs.twimg.com/media/EKa7DqLWwAEfsmy.jpg'],1,3,7,"['#30daymapchallenge', '#qgis', '#roads', '#northamerica', '#mexico', '#maporn']",[],https://twitter.com/daniel_isita/status/1199852140614836224,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}, {'user_id': '256573185', 'username': 'globalforests'}]",
1199845225964945408,1199845225964945408,1574900368000,2019-11-27,19:19:28,EST,309734801,samwise_v,Sam J,,#30DayMapChallenge Day 27: Resources.  Busy attending another excellent @longitude_space event tonight so no time for a new map. Instead I have just done a colour version of my Day 10 submission looking at mines and quarries in #Snowdonia pic.twitter.com/kCNVJAD2pt,['longitude_space'],[],['https://pbs.twimg.com/media/EKa03WYWwAE1ec2.jpg'],0,1,7,"['#30daymapchallenge', '#snowdonia']",[],https://twitter.com/samwise_v/status/1199845225964945408,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}, {'user_id': '1114585013511704576', 'username': 'longitude_space'}]",
1199844682051805184,1199844682051805184,1574900238000,2019-11-27,19:17:18,EST,2239825712,iiegj,IIEG Jalisco,,"#30DayMapChallenge Día 27. Recursos. Conoce el inventario de potencial de generación de energías limpias en el estado de Jalisco, más información en  http://dgel.energia.gob.mx/INEL/Metadata/Inventario/Inventario_Potencial.html … pic.twitter.com/zetPLkCtlN",[],['http://dgel.energia.gob.mx/INEL/Metadata/Inventario/Inventario_Potencial.html'],['https://pbs.twimg.com/media/EKa0YPdWkAYrbvt.jpg'],0,3,5,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1199844682051805184,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1199839553659510784,1199839553659510784,1574899016000,2019-11-27,18:56:56,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 27: Resources
Chickens! Literally hundreds of millions of chickens on the Delmarva Peninsula. Data from @USDA Census of Agriculture
Map made in #QGIS 3.8 pic.twitter.com/ttinUfJwqI",['usda'],[],['https://pbs.twimg.com/media/EKavsYqXsAAPTdi.jpg'],0,1,10,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/PhilPierdo/status/1199839553659510784,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '61853389', 'username': 'USDA'}]",
1199838677112958977,1199838677112958977,1574898807000,2019-11-27,18:53:27,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps

¿Qué representa este mapa? (Ver imagen en el comentario.)",[],[],[],3,0,3,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199838677112958977,False,,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199834280039288833,1199834280039288833,1574897758000,2019-11-27,18:35:58,EST,3346807874,emmavitz,Emma Vitz,,Teaser question for the my next map for the #30DayMapChallenge: What do you think is the most common dog breed in New Zealand? 🐶🐕🐩,[],[],[],2,1,1,['#30daymapchallenge'],[],https://twitter.com/EmmaVitz/status/1199834280039288833,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1199833915101470720,1199833915101470720,1574897671000,2019-11-27,18:34:31,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge - Day 27 - I didn't almost forget to do a map... Mapping water as resource, using GSI groundwater bedrock aquifer data. Regionally important aquifers can do large public water supply. Locally important do for smaller public supplies or group water schemes. pic.twitter.com/J2nKzagTOR",[],[],['https://pbs.twimg.com/media/EKaqkofX0AAnaxJ.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1199833915101470720,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1199827508826443777,1199827508826443777,1574896144000,2019-11-27,18:09:04,EST,725416219008864256,mackenzieob210,Mackenzie O’Brien,,"In honor of my return to Texas for Thanksgiving, I made a map of the Edwards Aquifer for Day 26 of the #30DayMapChallenge. Mixed feelings about how it turned out, but I can't be bothered to fix it on Thanksgiving eve. S/O to @John_M_Nelson for the corner map inspo. pic.twitter.com/OyRamm5G9r",['john_m_nelson'],[],['https://pbs.twimg.com/media/EKakv8aWsAAthdc.jpg'],1,1,4,['#30daymapchallenge'],[],https://twitter.com/mackenzieob210/status/1199827508826443777,False,,0,,,,,,,"[{'user_id': '725416219008864256', 'username': 'mackenzieob210'}, {'user_id': '381150541', 'username': 'John_M_Nelson'}]",
1199823845026410496,1199823845026410496,1574895270000,2019-11-27,17:54:30,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge
Day 26: Resources

Where we could buy a book?
Dónde podríamos comprar un libro?

Por sugerencia de @cathyvignolo hoy mapeamos las librerías (bookstores) de Santiago. pic.twitter.com/88LFHYnfLX",['cathyvignolo'],[],['https://pbs.twimg.com/media/EKahZuxXUBA5qrq.png'],17,102,142,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1199823845026410496,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '2497723044', 'username': 'cathyvignolo'}]",
1199821954447859712,1199821954447859712,1574894820000,2019-11-27,17:47:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps
This map compares Central American political systems from the beginning and end of the 20th Century
 https://mappinghistory.uoregon.edu/english/LA/LA03-00.html …
@CAS_LASA pic.twitter.com/Haz2VWvqon",['cas_lasa'],['https://mappinghistory.uoregon.edu/english/LA/LA03-00.html'],['https://pbs.twimg.com/media/EKZWK8rWsAsT6ub.jpg'],0,2,2,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199821954447859712,False,,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}, {'user_id': '753862520092266496', 'username': 'CAS_LASA'}]",
1199804678856413184,1199804678856413184,1574890701000,2019-11-27,16:38:21,EST,809741897367486464,heyimpacman,Pac Man,,Waka Waka Waka #RetroGaming RT @TeamInteractCA: Sweet finds! @CaislinF mapped fruit trees along #bikeroutes in #yvr for the #30DayMapChallenge. This is giving us…  https://twitter.com/i/web/status/1199794928307572737 …,"['teaminteractca', 'caislinf']",['https://twitter.com/i/web/status/1199794928307572737'],[],0,0,0,"['#retrogaming', '#bikeroutes', '#yvr', '#30daymapchallenge']",[],https://twitter.com/HeyImPacMan/status/1199804678856413184,False,,0,,,,,,,"[{'user_id': '809741897367486464', 'username': 'HeyImPacMan'}, {'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '1034474302643433472', 'username': 'CaislinF'}]",
1199796115379539968,1199792760057991173,1574888659000,2019-11-27,16:04:19,EST,1669906789,marcominghini,Marco Minghini,,Of course yes - but not for the #30DayMapChallenge where creating even the easiest and quickest map per day is already too much work!,['pascal_n'],[],[],1,0,0,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1199796115379539968,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '39204419', 'username': 'pascal_n'}]",
1199795431896686598,1199795431896686598,1574888496000,2019-11-27,16:01:36,EST,1089884667787071490,viktoriamolnar_,Viktória,,"🍎🌄🍅🌄🍇🍇🍇🌄🍈
🍉🍉🌄🥒🌶️🌄🦗🐾🌄
🌄🐞🌄🥒🌶️🌄🌼🌷🌄
🐥🌄🍆🌄🍑🍐🍐🍑🍑
🥕🥕🐌🌄🌄🐾🌄🥔🌄
🌄🦗🌄🍅🌄🦋🌄🍒🍒
🍓🍓🐾🌄🥔🥔🥔🌄🐝
🌄🌄🐾🥦🌄🌄🍅🍅🌄
🌄🌺🌻🌽🍏🌄🐝🌄🐦
🥑🥑
🥝🍋🍊🍍
🥥🍌
#Sustainability
#30DayMapChallenge
My garden #footprint",[],[],[],0,0,3,"['#sustainability', '#30daymapchallenge', '#footprint']",[],https://twitter.com/ViktoriaMolnar_/status/1199795431896686598,False,,0,,,,,,,"[{'user_id': '1089884667787071490', 'username': 'ViktoriaMolnar_'}]",
1199795041272762370,1190253562267340800,1574888403000,2019-11-27,16:00:03,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 27 (resources): Some Crops of Europe (just some code I had lying around, no idea of accuracy, actually) Original:  http://www.maartenlambrechts.com/2018/07/31/beasts-of-europe.html … pic.twitter.com/kur7gFdTjh","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper', 'karim_douieb', 'datawrapper']",['http://www.maartenlambrechts.com/2018/07/31/beasts-of-europe.html'],"['https://pbs.twimg.com/media/EKaHOL4XYAExJC4.jpg', 'https://pbs.twimg.com/media/EKaHOMOW4AICDPb.jpg', 'https://pbs.twimg.com/media/EKaHOL6WsAIWnHC.jpg', 'https://pbs.twimg.com/media/EKaHOL6XYAERUuY.jpg']",2,0,8,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1199795041272762370,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}, {'user_id': '2600429268', 'username': 'karim_douieb'}, {'user_id': '500573974', 'username': 'Datawrapper'}]",
1199794928307572737,1199794928307572737,1574888376000,2019-11-27,15:59:36,EST,827579161472561156,teaminteractca,INTERACT,,Sweet finds! @CaislinF mapped fruit trees along #bikeroutes in #yvr for the #30DayMapChallenge. This is giving us #healthycity #PacMan vibes https://twitter.com/CaislinF/status/1199757968553566208 …,['caislinf'],['https://twitter.com/CaislinF/status/1199757968553566208'],[],0,0,6,"['#bikeroutes', '#yvr', '#30daymapchallenge', '#healthycity', '#pacman']",[],https://twitter.com/TeamInteractCA/status/1199794928307572737,False,https://twitter.com/CaislinF/status/1199757968553566208,0,,,,,,,"[{'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '1034474302643433472', 'username': 'CaislinF'}]",
1199794182660866049,1199779930633932800,1574888198000,2019-11-27,15:56:38,EST,14149194,kiricarini,Kiri Carini,,Sure hope you've found the #30DayMapChallenge because  my eyeballs have never seen so many amazing maps. #gischat,"['rocopley1', 'jonahadkins', 'mmdolbow', 'fritzgis', 'micheletobias']",[],[],1,0,2,"['#30daymapchallenge', '#gischat']",[],https://twitter.com/KiriCarini/status/1199794182660866049,False,,0,,,,,,,"[{'user_id': '14149194', 'username': 'KiriCarini'}, {'user_id': '1142165477952614400', 'username': 'rocopley1'}, {'user_id': '240961785', 'username': 'jonahadkins'}, {'user_id': '222228205', 'username': 'mmdolbow'}, {'user_id': '841465160187428866', 'username': 'fritzGIS'}, {'user_id': '1523747005', 'username': 'MicheleTobias'}]",
1199793522536337409,1199783420353794048,1574888041000,2019-11-27,15:54:01,EST,874597331424993281,gis_manipulator,The Spatial Data Manipulator,,Which day of the #30DayMapChallenge?,['landethics'],[],[],1,0,0,['#30daymapchallenge'],[],https://twitter.com/GIS_Manipulator/status/1199793522536337409,False,,0,,,,,,,"[{'user_id': '874597331424993281', 'username': 'GIS_Manipulator'}, {'user_id': '734297005846081536', 'username': 'LandEthics'}]",
1199792760057991173,1199792760057991173,1574887859000,2019-11-27,15:50:59,EST,39204419,pascal_n,Pascal Neis,,"I did a similar visualization in 2012. You should consider the population or the area for each country, see  https://neis-one.org/2012/11/active-users-osm-nov12/ …
#OpenStreetMap #Activity
#30DayMapChallenge https://twitter.com/MarcoMinghini/status/1199777401011658754 …",[],"['https://neis-one.org/2012/11/active-users-osm-nov12/', 'https://twitter.com/MarcoMinghini/status/1199777401011658754']",[],1,1,3,"['#openstreetmap', '#activity', '#30daymapchallenge']",[],https://twitter.com/pascal_n/status/1199792760057991173,False,https://twitter.com/MarcoMinghini/status/1199777401011658754,0,,,,,,,"[{'user_id': '39204419', 'username': 'pascal_n'}]",
1199789410415337472,1199789410415337472,1574887061000,2019-11-27,15:37:41,EST,49316865,genetis,Alex Waleczek,,That's just great! #30DayMapChallenge https://twitter.com/andrewdc_nz/status/1199224754130976768 …,[],['https://twitter.com/andrewdc_nz/status/1199224754130976768'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/genetis/status/1199789410415337472,False,https://twitter.com/andrewdc_nz/status/1199224754130976768,0,,,,,,,"[{'user_id': '49316865', 'username': 'genetis'}]",
1199788396752838659,1199788396752838659,1574886819000,2019-11-27,15:33:39,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland","#30DayMapChallenge Day 27: Resources

Water resources around the island of Ireland show the potential for the harnessing of #renewable wave energy 🌊 pic.twitter.com/Yy6GVQ0LPB",[],[],['https://pbs.twimg.com/media/EKaBK8yXsAYfkVU.jpg'],0,1,9,"['#30daymapchallenge', '#renewable']",[],https://twitter.com/blanky343/status/1199788396752838659,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1199784940973383680,1199784940973383680,1574885995000,2019-11-27,15:19:55,EST,2606576396,thoughtfulnz,David Hood,,"A quick throwaway for day 28 of #30DayMapChallenge topic:Funny

Comedy vs Tragedy - the number of ""Entertainer or Variety Artists"" minus the number of ""Prison Officers"", by region (2013 census).

Code:  https://github.com/thoughtfulbloke/november19_maps …

By this very sciency metric BoP is funniest with +15 pic.twitter.com/M1ZwmZxt4j",[],['https://github.com/thoughtfulbloke/november19_maps'],['https://pbs.twimg.com/media/EKZ-ClCUYAMg0dX.jpg'],1,0,5,['#30daymapchallenge'],[],https://twitter.com/Thoughtfulnz/status/1199784940973383680,False,,0,,,,,,,"[{'user_id': '2606576396', 'username': 'Thoughtfulnz'}]",
1199783420353794048,1199783420353794048,1574885632000,2019-11-27,15:13:52,EST,734297005846081536,landethics,Steve Carver,,Does this count for #30DayMapChallenge? https://twitter.com/landethics/status/1199718546894442496 …,[],['https://twitter.com/landethics/status/1199718546894442496'],[],1,0,2,['#30daymapchallenge'],[],https://twitter.com/LandEthics/status/1199783420353794048,False,https://twitter.com/LandEthics/status/1199718546894442496,0,,,,,,,"[{'user_id': '734297005846081536', 'username': 'LandEthics'}]",
1199781201277521921,1199781201277521921,1574885103000,2019-11-27,15:05:03,EST,14992557,gontsa,gontsa,,"Open-pit mining in the Dnipropetrovsk Oblast.
Kryvorizkyi Iron Ore Basin (Kryvbas)
#30DayMapChallenge Day 27: Resources
Data: #OpenStreetMap contributors, #qgis pic.twitter.com/kohisTQTq9",[],[],['https://pbs.twimg.com/media/EKZ6oBaX0AMc4ay.jpg'],0,5,22,"['#30daymapchallenge', '#openstreetmap', '#qgis']",[],https://twitter.com/gontsa/status/1199781201277521921,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1199779936711725060,1199779936711725060,1574884802000,2019-11-27,15:00:02,EST,261631571,hendrikxleo,Leo,,"Day 27: (Natural) Resources #30DayMapChallenge Canopy cover in Glacier National Park.
Data:  https://koordinates.com/layer/13721-glacier-national-park-natural-resources-vegetation-north-fork/ … pic.twitter.com/05QuCEMaCd",[],['https://koordinates.com/layer/13721-glacier-national-park-natural-resources-vegetation-north-fork/'],"['https://pbs.twimg.com/media/EKZ5b0YW4AA_Msz.jpg', 'https://pbs.twimg.com/media/EKZ5b0ZW4AI8q6U.jpg', 'https://pbs.twimg.com/media/EKZ5b0ZW4AE_12a.jpg']",0,3,4,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1199779936711725060,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1199779897872281602,1199779897872281602,1574884793000,2019-11-27,14:59:53,EST,800447204020219904,kim_fitter,Kim Fitter,,"Inspiration for day 28 funny maps #30DayMapChallenge

Traffic cones on K road pic.twitter.com/UTaZCA29kB",[],[],['https://pbs.twimg.com/media/EKZ4QvHU4AU2tL1.jpg'],1,0,1,['#30daymapchallenge'],[],https://twitter.com/Kim_Fitter/status/1199779897872281602,False,,0,,,,,,,"[{'user_id': '800447204020219904', 'username': 'Kim_Fitter'}]",
1199777401011658754,1199777401011658754,1574884197000,2019-11-27,14:49:57,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 2⃣4⃣ Statistics:
Average number of @openstreetmap contributors per day in each world country (from 1/11/2018 to 15/11/2019). Kudos to the German & US communities 🎉

Countries from Natural Earth, OSM statistics from @pascal_n ( https://tools.neis-one.org/tmp/20191115_AvgOSMContributors.txt …) pic.twitter.com/nhq7kPARk9","['openstreetmap', 'pascal_n']",['https://tools.neis-one.org/tmp/20191115_AvgOSMContributors.txt'],['https://pbs.twimg.com/media/EKZ3LNnWoAUsz5M.jpg'],3,1,12,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1199777401011658754,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '39204419', 'username': 'pascal_n'}]",
1199776939776651264,1199776939776651264,1574884087000,2019-11-27,14:48:07,EST,818719251272003584,agroder_intl,AgroDer Intl,,"Worldwide, millions of farmers harvest hundreds of crops  in more than 1,600 million hectares each year.
👨‍🌾👩‍🌾
Each region has different habits, diets, productive traditions and calling . 🌽☕️🍇🥔🍞🍌🍚

Can you name the top crop in your country?
#30dayMapChallenge pic.twitter.com/6cVl612DQR",[],[],['https://pbs.twimg.com/media/EKZ2w7-XkAI_j3M.jpg'],0,3,9,['#30daymapchallenge'],[],https://twitter.com/AgroDer_Intl/status/1199776939776651264,False,,0,,,,,,,"[{'user_id': '818719251272003584', 'username': 'AgroDer_Intl'}, {'user_id': '277526005', 'username': 'agropolisorg'}, {'user_id': '323174342', 'username': 'AgroKnow'}, {'user_id': '104728023', 'username': 'CropLifeIntl'}, {'user_id': '177214413', 'username': 'CropTrust'}, {'user_id': '500589442', 'username': 'CropLifeAsia'}, {'user_id': '3025040976', 'username': 'Cropnuts'}, {'user_id': '558024806', 'username': 'PoweringAg'}, {'user_id': '24158257', 'username': 'worldfarmers'}, {'user_id': '105100338', 'username': 'WorldRuralForum'}, {'user_id': '34673698', 'username': 'HungerProject'}]",
1199775766428495872,1199775766428495872,1574883808000,2019-11-27,14:43:28,EST,14130929,ttso,Tuija Sonkkila,,"#30DayMapChallenge Day 27: Resources. One of the most precious resources is clean air. Luckily, concentration levels of nitrogen dioxide in #Helsinki haven't increased. Data: Helsinki Region Environmental Services Authority. Code:  https://github.com/tts/mapchallenge/blob/master/no2.R … #rstats #sf #ggspatial pic.twitter.com/gqT3ENwcjy",[],['https://github.com/tts/mapchallenge/blob/master/no2.R'],['https://pbs.twimg.com/media/EKZ1NkBWsAEMzai.jpg'],0,3,5,"['#30daymapchallenge', '#helsinki', '#rstats', '#sf', '#ggspatial']",[],https://twitter.com/ttso/status/1199775766428495872,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}]",
1199775322473930754,1199775322473930754,1574883702000,2019-11-27,14:41:42,EST,3092381638,cedscherer,Cédric Scherer,,"#30DayMapChallenge Day 27: Resources (for your electric car) - quick map of charging stations for #ElectricCar in Berlin 🚗🔌
#eMobility #ggplot2 #rstats #dataviz pic.twitter.com/88ywj8sn6b",[],[],['https://pbs.twimg.com/media/EKZ1SMYWsAAlnGK.jpg'],0,3,14,"['#30daymapchallenge', '#electriccar', '#emobility', '#ggplot2', '#rstats', '#dataviz']",[],https://twitter.com/CedScherer/status/1199775322473930754,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}, {'user_id': '2461976545', 'username': 'OpenDataBerlin'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1199773648506236928,1199773648506236928,1574883303000,2019-11-27,14:35:03,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 27: resursi. Kūdra ir labs resurss, jo ieguve smuki izskatās aeroattēlos. Latvijas kūdras resursi lēsti tik daudz, ka cipari lauž smadzenes - tās ir 1000 pasaulē lielākās ēkas (Boeing fabrika) vai vagoni 70 reizes apkārt pasaulei. pic.twitter.com/OpMMgxqa6x",[],[],['https://pbs.twimg.com/media/EKZzwvWXsAEqp3e.jpg'],2,1,2,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1199773648506236928,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1199773456197439488,1199773456197439488,1574883257000,2019-11-27,14:34:17,EST,461965493,kriksine,Kristīne,,"#30DayMapChallenge 27. diena, resursi. Ir latviešu tauta - akmens, māls un smilts. 2015. - 2019. gads dolomīta karjerā ""Akmenscūciņas"". @CopernicusEU pic.twitter.com/XuZgf65YNI",['copernicuseu'],[],[],2,4,24,['#30daymapchallenge'],[],https://twitter.com/kriksine/status/1199773456197439488,False,,1,,,,,,,"[{'user_id': '461965493', 'username': 'kriksine'}, {'user_id': '978604706', 'username': 'CopernicusEU'}]",
1199772377778982913,1199772377778982913,1574883000000,2019-11-27,14:30:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/991400321665683456 …",[],['https://twitter.com/LASACONGRESS/status/991400321665683456'],[],0,1,1,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199772377778982913,False,https://twitter.com/LASACONGRESS/status/991400321665683456,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199769166535970817,1199769166535970817,1574882234000,2019-11-27,14:17:14,EST,982429849,pedro_com_es,Pedro Suárez,,"Día 27 'recursos' #30DayMapChallenge.

1 315 centros educativos (no universitarios) en #Canarias. Principalmente CEIP e IES. Incluso a escala municipal cuesta dibujarlos.

Fuente: mapa y datos de @GRAFCAN y @EducacionCan pic.twitter.com/t1iqb7kAXl","['grafcan', 'educacioncan']",[],"['https://pbs.twimg.com/media/EKZvsDDXkAMaocS.jpg', 'https://pbs.twimg.com/media/EKZvsC9XsAEhAIw.jpg', 'https://pbs.twimg.com/media/EKZvsDFXUAAlRrq.jpg']",0,0,1,"['#30daymapchallenge', '#canarias']",[],https://twitter.com/pedro_com_es/status/1199769166535970817,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '190185292', 'username': 'GRAFCAN'}, {'user_id': '366151720', 'username': 'EducacionCan'}]",
1199767005999427584,1199767005999427584,1574881719000,2019-11-27,14:08:39,EST,822048926081712128,cchurchili,Carl Churchill,,"#30DayMapChallenge Uzbekistan is one of the worlds leading cotton producers, but the massive amount of water required for its cotton fields have helped drain the Aral sea, shrinking it into a tiny portion of its pre-modern boundaries. pic.twitter.com/colW1xWeL5",[],[],['https://pbs.twimg.com/media/EKZttozVAAA-tvo.jpg'],0,0,18,['#30daymapchallenge'],[],https://twitter.com/Cchurchili/status/1199767005999427584,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1199762010998812672,1199762010998812672,1574880528000,2019-11-27,13:48:48,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
#Map_28 Funny

Este mapa se incorporó en el Poster de @SportBSymposium celebrado en 2015 la @lallotjalleida

Distribución de 54 pista de Pàdel en Lleida.
@padelindoor
@ekkelleida
@sicorisclub
@tennislleida
@TennisUrgell
@TrevolLleida
@cnlleidatennis pic.twitter.com/9H1AbZsuuA","['sportbsymposium', 'lallotjalleida', 'padelindoor', 'ekkelleida', 'sicorisclub', 'tennislleida', 'tennisurgell', 'trevollleida', 'cnlleidatennis']",[],['https://pbs.twimg.com/media/EKZpCppX0AAmYgE.jpg'],0,1,3,"['#30daymapchallenge', '#map_28']",[],https://twitter.com/iservia/status/1199762010998812672,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '1186786422', 'username': 'SportBSymposium'}, {'user_id': '154088150', 'username': 'lallotjalleida'}, {'user_id': '45642760', 'username': 'padelindoor'}, {'user_id': '85335841', 'username': 'ekkelleida'}, {'user_id': '3405390003', 'username': 'sicorisclub'}, {'user_id': '615223186', 'username': 'tennislleida'}, {'user_id': '216064793', 'username': 'TennisUrgell'}, {'user_id': '2794413058', 'username': 'TrevolLleida'}, {'user_id': '947447997272592384', 'username': 'cnlleidatennis'}, {'user_id': '235707347', 'username': 'pepcastarlenas'}, {'user_id': '1356880070', 'username': 'javaloyesv'}, {'user_id': '725601431164690432', 'username': 'esports_lleida'}, {'user_id': '69918773', 'username': 'Gerardathletics'}]",
1199761395430113285,1199761395430113285,1574880381000,2019-11-27,13:46:21,EST,509842172,agroder,AgroDer,,"Naturaleza que fluye y perdura:
Ríos libres, Bosques intactos y manglares en el mundo.
#Agua #Forestal
#30DayMapChallenge pic.twitter.com/pOZ3e3TuxD",[],[],['https://pbs.twimg.com/media/EKZooIkWwAE3Np9.jpg'],0,13,16,"['#agua', '#forestal', '#30daymapchallenge']",[],https://twitter.com/AgroDer/status/1199761395430113285,False,,0,,,,,,,"[{'user_id': '509842172', 'username': 'AgroDer'}, {'user_id': '628546209', 'username': 'RedCuencas'}, {'user_id': '838098877', 'username': 'RJAColombia'}, {'user_id': '1030280984351137792', 'username': 'riosvivoscol'}, {'user_id': '875963341', 'username': 'CCMSSAC'}, {'user_id': '3057820160', 'username': 'Conselvaorg'}, {'user_id': '231274511', 'username': 'CIFOR_bosques'}, {'user_id': '60719501', 'username': 'aguaorgmx'}, {'user_id': '934672914', 'username': 'BIDCambioClima'}, {'user_id': '2569861772', 'username': 'SASalinasRodrig'}, {'user_id': '735215330163752961', 'username': 'WRIMexico'}]",
1199761371065462784,1199761371065462784,1574880376000,2019-11-27,13:46:16,EST,832950829,axelkreuter,axel,,"maybe also qualifies for the #30DayMapChallenge😊. Measurement stations of the Pandonia Global Network #AirQuality. My challenge here was the smart placement of labels, avoiding overlap. Made with #cartopy @matplotlib and *adjustText* by @Phlya. pic.twitter.com/tJQ676IwZp","['matplotlib', 'phlya']",[],['https://pbs.twimg.com/media/EKZomqBX0AIfJMw.jpg'],0,1,4,"['#30daymapchallenge', '#airquality', '#cartopy']",[],https://twitter.com/axelkreuter/status/1199761371065462784,False,,0,,,,,,,"[{'user_id': '832950829', 'username': 'axelkreuter'}, {'user_id': '839501726738755584', 'username': 'matplotlib'}, {'user_id': '196646584', 'username': 'Phlya'}]",
1199757968553566208,1199757968553566208,1574879564000,2019-11-27,13:32:44,EST,1034474302643433472,caislinf,Caislin Firth,,"An apple a day! Foraging for the #urban cyclist: pickable fruit trees (endorsed by @CityofVancouver) along #bike routes

For #day27 Resources of #30DayMapChallenge pic.twitter.com/SndAuGQEHX",['cityofvancouver'],[],[],0,2,11,"['#urban', '#bike', '#day27', '#30daymapchallenge']",[],https://twitter.com/CaislinF/status/1199757968553566208,False,,1,,,,,,,"[{'user_id': '1034474302643433472', 'username': 'CaislinF'}, {'user_id': '55323056', 'username': 'CityofVancouver'}]",
1199757959187836933,1199757959187836933,1574879562000,2019-11-27,13:32:42,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
Map_27 #Resources

Mapa de Suelos. #Urgell.  2005

Solo un 20% dels sòls, tienen una CRAD (Capacidad de retencion de agua) para tener intervalos de riego >12 días.

El post @iAgua
2015 Año internacional de los suelos.
 https://www.iagua.es/blogs/ignasi-servia/2015-ano-internacional-suelos … pic.twitter.com/yuW3zrJksE",['iagua'],['https://www.iagua.es/blogs/ignasi-servia/2015-ano-internacional-suelos'],"['https://pbs.twimg.com/media/EKZlf6SWkAAgAZc.jpg', 'https://pbs.twimg.com/media/EKZlf6RWsAAPl1X.jpg']",0,0,2,"['#30daymapchallenge', '#resources', '#urgell']",[],https://twitter.com/iservia/status/1199757959187836933,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}]",
1199756637562720257,1199756637562720257,1574879247000,2019-11-27,13:27:27,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"Thread of favourites from #30DayMapChallenge collected over the month, and growing! https://twitter.com/iamgkadam/status/1192457744143601664 …",[],['https://twitter.com/iamgkadam/status/1192457744143601664'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1199756637562720257,False,https://twitter.com/iamgkadam/status/1192457744143601664,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}]",
1199752903696760832,1199752903696760832,1574878357000,2019-11-27,13:12:37,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
Día 27 - Resources
#Mapa de las #minas de #estaño del valle de #Monterrei (#Ourense), hecho por don Carlos Juan García Alvarez en #Verín el 13 de septiembre de 1786. Archivo de #Simancas pic.twitter.com/zbPQFBeM2i",[],[],['https://pbs.twimg.com/media/EKZg5KqX0AEHJUb.jpg'],0,0,2,"['#30daymapchallenge', '#mapa', '#minas', '#estaño', '#monterrei', '#ourense', '#verín', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1199752903696760832,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1199751326407761921,1199751326407761921,1574877981000,2019-11-27,13:06:21,EST,984961572475981824,samikurani,Sami Kurani,,"#30DayMapChallenge Day 27: Resources

Mapping out the Oil & Gas pipelines that run through the south eastern half of Alberta

Created using QGIS
Source: Alberta Energy Regulator pic.twitter.com/bfRiBHr37d",[],[],['https://pbs.twimg.com/media/EKZfd4xW4AAqdKg.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/SamiKurani/status/1199751326407761921,False,,0,,,,,,,"[{'user_id': '984961572475981824', 'username': 'SamiKurani'}]",
1199750963915083781,1199750963915083781,1574877894000,2019-11-27,13:04:54,EST,77265423,ijturton,Ian Turton,,#30DayMapChallenge day 27 - resources. Here is a map of existing wind turbines in the British Isles - unfortunately due to NIMBYs all future development is force offshore for the UK. #qgis #osm pic.twitter.com/RmPhd515yC,[],[],['https://pbs.twimg.com/media/EKZfHYeW4AA4-QT.jpg'],0,1,0,"['#30daymapchallenge', '#qgis', '#osm']",[],https://twitter.com/ijturton/status/1199750963915083781,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1199749313716523009,1199747567464128512,1574877501000,2019-11-27,12:58:21,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"Check the #30DayMapChallenge
#LASMaps hashtags to find other maps that we are sharing this week",['vanessa_jesenia'],[],[],0,0,1,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199749313716523009,False,,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}, {'user_id': '64346626', 'username': 'vanessa_jesenia'}]",
1199745953751691264,1199745953751691264,1574876700000,2019-11-27,12:45:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps
This section allows the viewer to compare and contrast South American political systems from the beginning and end of the 20th Century, and shows just how much the political landscape has changed.
 https://mappinghistory.uoregon.edu/english/LA/LA01-01.html … pic.twitter.com/FCHfdE0cU4",[],['https://mappinghistory.uoregon.edu/english/LA/LA01-01.html'],['https://pbs.twimg.com/media/EKZS-4EWoAAI5X7.jpg'],0,18,36,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199745953751691264,False,,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199744284909621248,1199744284909621248,1574876302000,2019-11-27,12:38:22,EST,732808808,muradcobanoglu,Murad Çobanoğlu,,"Size bunu ananız babanız yapmaz, tarihi süreçler içinde haritaların yer aldığı online bir platform. Kırmızı çerçeveyi sürükleyerek bulmak istediğiniz ülkenin tarihi haritalarını bulabilirsiniz.  https://www.oldmapsonline.org/
#30DayMapChallenge pic.twitter.com/6CM6bN2xVa",[],['https://www.oldmapsonline.org/'],['https://pbs.twimg.com/media/EKZZDHBXUAE-9DU.jpg'],0,7,23,['#30daymapchallenge'],[],https://twitter.com/muradcobanoglu/status/1199744284909621248,False,,0,,,,,,,"[{'user_id': '732808808', 'username': 'muradcobanoglu'}]",
1199744041669333001,1199744041669333001,1574876244000,2019-11-27,12:37:24,EST,849848366372671488,geointmerida,Mérida Geoint,,"Misoginia en textos de twitter.
 http://mid.geoint.mx/MAPS/misoginiamap/ …
#30DayMapChallenge #ViolenceAgainstWomen #ViolenciaContraLasMujeres pic.twitter.com/wP1Na4kz3I",[],['http://mid.geoint.mx/MAPS/misoginiamap/'],['https://pbs.twimg.com/media/EKZY2A5W4AEf79_.jpg'],0,2,0,"['#30daymapchallenge', '#violenceagainstwomen', '#violenciacontralasmujeres']",[],https://twitter.com/GeointMerida/status/1199744041669333001,False,,0,,,,,,,"[{'user_id': '849848366372671488', 'username': 'GeointMerida'}]",
1199741917497565190,1199741917497565190,1574875737000,2019-11-27,12:28:57,EST,732808808,muradcobanoglu,Murad Çobanoğlu,,"#30DayMapChallenge diye bir etkinlik başlatmışlar. Elbetteki en güzel harita bu toprakların tarihlerinde gizli.

1633 yılına ait bir Osmanlı İmparatorluğu haritası pic.twitter.com/gF67itrJ4c",[],[],['https://pbs.twimg.com/media/EKZW6B8WkAE0kr7.jpg'],0,4,9,['#30daymapchallenge'],[],https://twitter.com/muradcobanoglu/status/1199741917497565190,False,,0,,,,,,,"[{'user_id': '732808808', 'username': 'muradcobanoglu'}]",
1199740369468108804,1199740369468108804,1574875368000,2019-11-27,12:22:48,EST,13215962,jerry_shannon,Jerry Shannon,,#30DayMapChallenge: Resources. I've been working with three undergrads this semester on community engaged research projects. Jenny is shown here finishing quality checks on a map of resources for folks in housing transition for @SparrowsNestAth. pic.twitter.com/j4mCg948ZA,['sparrowsnestath'],[],['https://pbs.twimg.com/media/EKZVgIqXUAIY562.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/jerry_shannon/status/1199740369468108804,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}, {'user_id': '262955403', 'username': 'SparrowsNestAth'}]",
1199739874192089090,1199739874192089090,1574875250000,2019-11-27,12:20:50,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 27. Resources

Available water storage capacity

Made with #QGIS pic.twitter.com/XR86iXtcnF",[],[],['https://pbs.twimg.com/media/EKZU_VkX0AEOOU5.jpg'],2,35,82,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1199739874192089090,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1199736862488846336,1199736862488846336,1574874532000,2019-11-27,12:08:52,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/699688750146715648 …",[],['https://twitter.com/LASACONGRESS/status/699688750146715648'],[],0,5,4,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199736862488846336,False,https://twitter.com/LASACONGRESS/status/699688750146715648,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199735284818206721,1199735284818206721,1574874156000,2019-11-27,12:02:36,EST,257218656,descifra,DESCIFRA,,"Land cover map of Mexico.
Day 27: Resources #30DayMapChallenge
#lovepredictinglocations #BigData pic.twitter.com/FE0w0cw3Pd",[],[],['https://pbs.twimg.com/media/EKZQ4hSXkAApLfM.png'],0,7,18,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1199735284818206721,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1199735205017333761,1192855827272675329,1574874137000,2019-11-27,12:02:17,EST,1192848641771393027,colmixe,Colmix,,"Día 27: Recursos / Pïktä'äky
La producción agrícola de los municipios #mixes está determinada por las condiciones climáticas de cada municipio. El maíz, el café y el frijol siguen siendo los principales cultivos de la región.
#30daymapchallenge pic.twitter.com/VBDin18E6Z",[],[],['https://pbs.twimg.com/media/EKZQzrlXsAMQzor.jpg'],1,3,12,"['#mixes', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1199735205017333761,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1199735201334808576,1199735201334808576,1574874136000,2019-11-27,12:02:16,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge Day 27: Resources - Nuclear Power Stations
Tools:@ArcGISPro and Photoshop
Nuclear power produces HUGE amounts of energy resources from small amounts of uranium and plutonium but it’s waste is radioactive and can effect local marine life from wastewater. pic.twitter.com/1IBwaxJQSm",['arcgispro'],[],['https://pbs.twimg.com/media/EKZQzZPXsAIwKRK.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1199735201334808576,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}]",
1199734388948230144,1199734388948230144,1574873942000,2019-11-27,11:59:02,EST,895848186148933632,nesta_us,NESTA-US🌎,,"This is actually in a textbook..(#GlencoeScience: Biology, Chapter 5, Section 3.) New York State version. Anyone see anything wrong here? Anyone using this text right now?
 https://www.pinterest.com/nesta_us/mapping-satellites/ …
#30DayMapChallenge #EarthScience #map #biology pic.twitter.com/wvF4wQeEP7",[],['https://www.pinterest.com/nesta_us/mapping-satellites/'],['https://pbs.twimg.com/media/EKZQEMOUUAAGRwJ.jpg'],3,3,6,"['#glencoescience', '#30daymapchallenge', '#earthscience', '#map', '#biology']",[],https://twitter.com/NESTA_US/status/1199734388948230144,False,,0,,,,,,,"[{'user_id': '895848186148933632', 'username': 'NESTA_US'}]",
1199727900406231040,1199727900406231040,1574872395000,2019-11-27,11:33:15,EST,223959960,_penguin_runner,Kirsten Reilly,,"#30DayMapChallenge Day 27: Resources - Wind Farms Scotland - Operational, Proposed & Scoping #opensource #SNH #ScottishNaturalHeritage #marinescotland #crownestatescotland #windpower #osopen #QGIS #gischat #geography #cartography pic.twitter.com/iRz0hiWuMC",[],[],['https://pbs.twimg.com/media/EKZKKWTWoAAOA8M.jpg'],0,2,2,"['#30daymapchallenge', '#opensource', '#snh', '#scottishnaturalheritage', '#marinescotland', '#crownestatescotland', '#windpower', '#osopen', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1199727900406231040,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1199726573445898240,1199726573445898240,1574872079000,2019-11-27,11:27:59,EST,3552542476,sannajokela1,Sanna Jokela,,"#30DayMapChallenge Day 27. Resources. The challenge is soon over, and I think I have found my niche. Seeing patterns in all data. Here is an open data source from Finland by @metsakeskus (huge effort!) and I tested it today. Only to find out that I live inside a forest gnome. pic.twitter.com/uCRavP3h38",['metsakeskus'],[],['https://pbs.twimg.com/media/EKZI66rWkAAXQjf.jpg'],0,1,13,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1199726573445898240,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}, {'user_id': '1288642801', 'username': 'metsakeskus'}]",
1199714748125855745,1199714748125855745,1574869260000,2019-11-27,10:41:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps
Mapa de conflictos mineros, proyectos y empresas mineras en América Latina
 https://mapchart.net/americas.html  pic.twitter.com/fDhoTlKreD",[],['https://mapchart.net/americas.html'],['https://pbs.twimg.com/media/EJ2CBgtX0AE2pns.jpg'],0,7,14,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199714748125855745,False,,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199714251507716096,1199714251507716096,1574869141000,2019-11-27,10:39:01,EST,34737662,positium,Positium,,"Map 27 on resources for the #30DayMapChallenge. Groundwater is a scarce resource, yet vital for all life.
#water #resources #maps pic.twitter.com/kQCsoe5To4",[],[],['https://pbs.twimg.com/media/EKY9vZ_XUAEHDMv.jpg'],0,2,10,"['#30daymapchallenge', '#water', '#resources', '#maps']",[],https://twitter.com/positium/status/1199714251507716096,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1199711703312879616,1199711703312879616,1574868534000,2019-11-27,10:28:54,EST,1082711230459060224,maptheclouds,MapTheClouds,,"#30DayMapChallenge Day 24 - Statistics

Mapping Romania's Presidential Elections results: Round 2.

Tools: QGIS and D3
Data: Geoportal ANCPI, BEC

 https://alexaac.github.io/presidentials2019/maps_panel.html …
#maps #elections #harta #alegeri #prezidentiale pic.twitter.com/CXsIFkFgwL",[],['https://alexaac.github.io/presidentials2019/maps_panel.html'],['https://pbs.twimg.com/media/EKY7br1XkAIwfQN.jpg'],0,2,5,"['#30daymapchallenge', '#maps', '#elections', '#harta', '#alegeri', '#prezidentiale']",[],https://twitter.com/maptheclouds/status/1199711703312879616,False,,0,,,,,,,"[{'user_id': '1082711230459060224', 'username': 'maptheclouds'}]",
1199711566217789440,1199711566217789440,1574868501000,2019-11-27,10:28:21,EST,1082711230459060224,maptheclouds,MapTheClouds,,"#30DayMapChallenge Day 24 - Statistics

Mapping Romania's Presidential Elections results: Round 1.

Tools: QGIS and D3
Data: Geoportal ANCPI, BEC

 https://alexaac.github.io/presidentials2019/maps_panel.html …
#maps #elections #harta #alegeri #prezidentiale pic.twitter.com/LrCeAphdmP",[],['https://alexaac.github.io/presidentials2019/maps_panel.html'],['https://pbs.twimg.com/media/EKY7TsZXYAAkBGk.jpg'],0,1,8,"['#30daymapchallenge', '#maps', '#elections', '#harta', '#alegeri', '#prezidentiale']",[],https://twitter.com/maptheclouds/status/1199711566217789440,False,,0,,,,,,,"[{'user_id': '1082711230459060224', 'username': 'maptheclouds'}]",
1199709525953142784,1199709525953142784,1574868015000,2019-11-27,10:20:15,EST,1093148301250232320,vatsouth1,Veronica Southerland,,Just a cute little map of roads in NE & NW DC #30DayMapChallenge - credit to  https://ggplot2tutor.com/streetmaps/streetmaps/ … for the code pic.twitter.com/Z3H4UTlr1d,[],['https://ggplot2tutor.com/streetmaps/streetmaps/'],['https://pbs.twimg.com/media/EKY5dG4WwAYwH96.jpg'],1,0,7,['#30daymapchallenge'],[],https://twitter.com/vatsouth1/status/1199709525953142784,False,,0,,,,,,,"[{'user_id': '1093148301250232320', 'username': 'vatsouth1'}]",
1199708354152669193,1199708354152669193,1574867735000,2019-11-27,10:15:35,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 28: Funny (I hope)
Sanctuary Cities for Thanksgiving Turkeys in the USA.
(this map is early because tomorrow is Thanksgiving)
#gis #geography #geographyteacher #cartography #maps #map #arcgis #qgis #landsat #landsat8 #TurkeyPardon #HappyThanksgiving pic.twitter.com/jyKHkj3I5z",[],[],['https://pbs.twimg.com/media/EKY4XzuWoAAIl9l.png'],0,1,1,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#arcgis', '#qgis', '#landsat', '#landsat8', '#turkeypardon', '#happythanksgiving']",[],https://twitter.com/my_physical/status/1199708354152669193,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1199708274054090752,1199708274054090752,1574867716000,2019-11-27,10:15:16,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 27. Resources

From gas-filled ground in Groningen (with all it's consequences...) to the huge fields in the North Sea: on the map below you'll find all the gas and oil fields on Dutch land and in the waters.

Large version 👉🏻 https://t.localfocus.nl/?a3bc09a  pic.twitter.com/8fEJGDnXuH",[],['https://t.localfocus.nl/?a3bc09a'],['https://pbs.twimg.com/media/EKY4TXpX0AUIfUm.jpg'],1,4,6,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1199708274054090752,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1199703455318921217,1199703455318921217,1574866567000,2019-11-27,09:56:07,EST,2574612668,hireuter,hannes reuter,,#30DayMapChallenge 27. Flows- Statistical Data of Imports in Quarter 1 of 2019  -info: https://europa.eu/!yU98Mr  -data: https://europa.eu/!Tu49Cm   -joined contributions by @EU_Eurostat E4 #GISCO Team - 3days2go - counting 3...2..1 pic.twitter.com/3loNgv9NVJ,['eu_eurostat'],"['https://europa.eu/!yU98Mr', 'https://europa.eu/!Tu49Cm']",['https://pbs.twimg.com/media/EKYz7fNWoAAiJAV.png'],1,0,3,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1199703455318921217,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1199697997430427653,1199697997430427653,1574865266000,2019-11-27,09:34:26,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 27: Resources
#Landsat is an amazing instrument for exploring the world's resources and its only getting better!
#gis #geography #geographyteacher #cartography #maps #map #landsat8 #naturalresources #USGS #geology #morenciarizona #arcgis #qgis #ilovelandsat pic.twitter.com/UsdqKb7JpD",[],[],"['https://pbs.twimg.com/media/EKYu7arXkAcxUEu.jpg', 'https://pbs.twimg.com/media/EKYu7atWoAMDV8A.jpg']",0,0,0,"['#30daymapchallenge', '#landsat', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#landsat8', '#naturalresources', '#usgs', '#geology', '#morenciarizona', '#arcgis', '#qgis', '#ilovelandsat']",[],https://twitter.com/my_physical/status/1199697997430427653,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1199696923839664135,1199696923839664135,1574865010000,2019-11-27,09:30:10,EST,140068360,geomniuk,GeomniUK,,"Day 27 of the #30DayMapChallenge - #Resources

This map, of Greater London and its surrounding areas, marks out the locations of a resource that almost every UK citizen will need to call upon at some point in their lives...The Emergency Services. pic.twitter.com/c8UseM5FFe",[],[],['https://pbs.twimg.com/media/EKYt_haWoAEPbwx.jpg'],0,1,1,"['#30daymapchallenge', '#resources']",[],https://twitter.com/GeomniUK/status/1199696923839664135,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1199691595785932800,1199691595785932800,1574863740000,2019-11-27,09:09:00,EST,276280627,pnelson917,Patrick Nelson,,Day 27 of the #30DayMapChallenge :  Resources…Global Major Mineral Deposits (aka some Natural Resources) from around the globe via @USGS #IMNOS pic.twitter.com/xmurBEgdnt,['usgs'],[],['https://pbs.twimg.com/media/EKCQft5U8AEo_KJ.jpg'],0,0,2,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1199691595785932800,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}, {'user_id': '14505838', 'username': 'USGS'}]",
1199687483564462080,1199687483564462080,1574862759000,2019-11-27,08:52:39,EST,297915370,ruth_mottram,Ruth Mottram,,"Super dataset on river #hydrology in the #Arctic
Too late for #30DayMapChallenge?

#AESM19 pic.twitter.com/0pGyOOAkqx",[],[],"['https://pbs.twimg.com/media/EKYlZZPW4AEzgCz.jpg', 'https://pbs.twimg.com/media/EKYlZZTWsAEOA-W.jpg']",0,0,4,"['#hydrology', '#arctic', '#30daymapchallenge', '#aesm19']",[],https://twitter.com/ruth_mottram/status/1199687483564462080,False,,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1199680898284871684,1199680898284871684,1574861189000,2019-11-27,08:26:29,EST,2198358416,tjukanov,Topi Tjukanov,,"All operating surface and underground coal mines in the United States (or lower 48 states). Point size scaled based on total coal production. A total of 680 coal mines still in operation.

Data:  https://www.eia.gov/maps/layer_info-m.php …
#30DayMapChallenge: Day 27. Resources. pic.twitter.com/MKtc0uQfn5",[],['https://www.eia.gov/maps/layer_info-m.php'],['https://pbs.twimg.com/media/EKYfaaUWkAUaOFb.jpg'],3,4,31,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1199680898284871684,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1199680742068031488,1199680742068031488,1574861152000,2019-11-27,08:25:52,EST,4241359336,philmassicotte,Philippe Massicotte,,For this #30DayMapChallenge #⃣2⃣7⃣ I visualize an essential Resources for many people 🍺. Made with #rstats pic.twitter.com/LtniXvCYCl,[],[],['https://pbs.twimg.com/media/EKYfRaEXYAQMzcF.jpg'],2,1,2,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/philmassicotte/status/1199680742068031488,False,,0,,,,,,,"[{'user_id': '4241359336', 'username': 'philmassicotte'}]",
1199677785188585473,1199677785188585473,1574860447000,2019-11-27,08:14:07,EST,5685812,hrbrmstr,boB Rudis,,"A somewhat rushed #30DayMapChallenge entry for tdy (""Resources""). The USGS has some super cool data. Turns out Maine has more mineral deposits than I expected, they're just super hard to access/extract.

Also #rstats {stars} is ⭐️⭐️⭐️⭐️⭐️ (+ {ggplot2} {sf})

Code up in a bit. pic.twitter.com/G8Te7Pm8GN",[],[],['https://pbs.twimg.com/media/EKYclPTWwAsdlqJ.jpg'],1,4,24,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1199677785188585473,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1199675709385515008,1199675709385515008,1574859952000,2019-11-27,08:05:52,EST,301593228,andrewrenninger,Andrew Renninger,,"Stumbled into #30DayMapChallenge 25 | Climate during some other work

Mean daytime temperature for the United States—and visible BosWash urban heat island (with #EarthEngine and some help from this @jstnbraaten tutorial  https://developers.google.com/earth-engine/tutorials/community/modis-ndvi-time-series-animation …) pic.twitter.com/wpO2OhlKDO",['jstnbraaten'],['https://developers.google.com/earth-engine/tutorials/community/modis-ndvi-time-series-animation'],[],0,7,25,"['#30daymapchallenge', '#earthengine']",[],https://twitter.com/AndrewRenninger/status/1199675709385515008,False,,1,,,,,,,"[{'user_id': '301593228', 'username': 'AndrewRenninger'}, {'user_id': '831942603931127809', 'username': 'jstnbraaten'}]",
1199668164155650049,1199668164155650049,1574858153000,2019-11-27,07:35:53,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 27. Resources: Tribute to water mills – our forgotten resource 💦 Estonia is full of small water mills that nowadays are mostly not working anymore. There are some rare exceptions like Hellenurme Water Mill which is still making flour with the power of water 😊 pic.twitter.com/qpTWWMsRCP,[],[],['https://pbs.twimg.com/media/EKYT0ytWoAAERKe.jpg'],0,1,10,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1199668164155650049,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1199661980879118336,1199661980879118336,1574856679000,2019-11-27,07:11:19,EST,2787878432,mildthing99,BC,,"A highly charged resource: #Cobalt #BlueGold
Electric vehicles + phone batteries; aero-engines; rockets; turbines etc
Cobalt reserves map in @ArcGISOnline #30DayMapChallenge #RESOURCE #GeographyTeacher #ResourceManagement @tjukanov @GIS4Schools @geogologue  https://arcg.is/1Pu8rv  pic.twitter.com/4UtBZ8MDZD","['arcgisonline', 'tjukanov', 'gis4schools', 'geogologue']",['https://arcg.is/1Pu8rv'],[],0,3,5,"['#cobalt', '#bluegold', '#30daymapchallenge', '#resource', '#geographyteacher', '#resourcemanagement']",[],https://twitter.com/mildthing99/status/1199661980879118336,False,,1,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '2314451911', 'username': 'ArcGISOnline'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '34434120', 'username': 'GIS4Schools'}, {'user_id': '715437344858443776', 'username': 'geogologue'}]",
1199656590934196224,1199656590934196224,1574855394000,2019-11-27,06:49:54,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
23 - population

proportion of E+W population aged 70+ (based on ONS MYE, 2019). Bit of re-shaping in #alteryx, visualised in #tableau.

▶️ https://public.tableau.com/views/Wheretheoldfolksare/PopDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link … pic.twitter.com/uxxRNcptp4",[],['https://public.tableau.com/views/Wheretheoldfolksare/PopDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link'],['https://pbs.twimg.com/media/EKYJTsgW4AIMxZ0.jpg'],0,0,9,"['#30daymapchallenge', '#alteryx', '#tableau']",[],https://twitter.com/AdiBop_/status/1199656590934196224,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1199656392153583616,1199656392153583616,1574855347000,2019-11-27,06:49:07,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
Día 27 - Resources
#Mapa de las #minas de #plata del asiento de Porco (La Plata (act. Sucre, #Bolivia🇧🇴) descubiertas en 1538 (antes que las de Potosí). Archivo de #Simancas. pic.twitter.com/h5yMTjdaOu",[],[],['https://pbs.twimg.com/media/EKYJIGJWoAAekcx.jpg'],0,1,1,"['#30daymapchallenge', '#mapa', '#minas', '#plata', '#bolivia', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1199656392153583616,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1199652056346320903,1199652056346320903,1574854313000,2019-11-27,06:31:53,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day27 - #resorces - #30DayMapChallenge pic.twitter.com/mgLpYYcBoG,[],[],['https://pbs.twimg.com/media/EKYFLZDWoAEwJNY.jpg'],0,0,3,"['#resorces', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1199652056346320903,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1199651190851751936,1197661706283040769,1574854106000,2019-11-27,06:28:26,EST,2322569388,csaladenes,Dénes Csala,,"Na, ez jól hangzik @IvettAlexa @Arnold_Platon. Ha csinálsz egy doc-ot - kicsit gondolkodjunk a kinézeten? :D Hátha még a #30DayMapChallenge végére belefér :)","['arnold_platon', 'ivettalexa']",[],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/csaladenes/status/1199651190851751936,False,,0,,,,,,,"[{'user_id': '2322569388', 'username': 'csaladenes'}, {'user_id': '800277926348324864', 'username': 'Arnold_Platon'}, {'user_id': '3288206489', 'username': 'IvettAlexa'}]",
1199643813737836545,1199643813737836545,1574852348000,2019-11-27,05:59:08,EST,760094405369946112,hansakwast,Hans van der Kwast,,"#30DayMapChallenge Day 27: Resources. Inden open pit #lignite mine in North Rhine-Westphalia, Germany. The profile shows how the Wang & Liu fill sinks algorithm fills up the pit. #opendata: #SRTM #OpenStreetMap. #opensource software: #QGIS #SAGA. #hydrology @ihedelft pic.twitter.com/qKQvlBhh1S",['ihedelft'],[],['https://pbs.twimg.com/media/EKX9rUlXsAAu5sP.jpg'],1,4,10,"['#30daymapchallenge', '#lignite', '#opendata', '#srtm', '#openstreetmap', '#opensource', '#qgis', '#saga', '#hydrology']",[],https://twitter.com/hansakwast/status/1199643813737836545,False,,0,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}, {'user_id': '19395129', 'username': 'ihedelft'}]",
1199634463434645504,1199634463434645504,1574850118000,2019-11-27,05:21:58,EST,1499547780,heikkivesanto,Heikki Vesanto,,Areas that are at high risk for mine shaft collapse from old coal mines. #30DayMapChallenge #Day27 #Resources pic.twitter.com/i8EyJeQQZG,[],[],['https://pbs.twimg.com/media/EKX0oL9WoAAY1J3.jpg'],0,1,3,"['#30daymapchallenge', '#day27', '#resources']",[],https://twitter.com/HeikkiVesanto/status/1199634463434645504,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1199632156961714176,1199632156961714176,1574849568000,2019-11-27,05:12:48,EST,43953969,jwolondon,Jo Wood,,"Day 27: Resources

Early 20th century ISOTYPE design often focussed on resource generation and exploitation. Here is my attempt at reproducing a map from ""Only an Ocean Between"" (1943) using only Vega-Lite.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d27Resources.md …
#30DayMapChallenge pic.twitter.com/7890Ew6GfM",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d27Resources.md'],['https://pbs.twimg.com/media/EKXzFSBXkAE_dio.jpg'],3,63,260,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1199632156961714176,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1199629908596678656,1199629908596678656,1574849032000,2019-11-27,05:03:52,EST,22146490,joriseekhout,Joris Eekhout,,"Day 27 (resources): 577 large reservoirs have been built in the Mediterranean Basin, with a total capacity of 252 km³. From these reservoirs, 48% are used for irrigation, 25% for hydroelectricity production and 13% for drinking water supply #30DayMapChallenge pic.twitter.com/A3IAbASONI",[],[],['https://pbs.twimg.com/media/EKXxB11X0AE48rq.jpg'],1,14,27,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1199629908596678656,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1199627196110794752,1199627196110794752,1574848386000,2019-11-27,04:53:06,EST,105407287,saint_gis,SRG,,"@tjukanov #30DayMapChallenge Day 25-Climate
#ExtremeWeather  http://worldatlas.com  using #fme
@SafeSoftware @qgis pic.twitter.com/b5jqFwQOVx","['tjukanov', 'safesoftware', 'qgis']",['http://worldatlas.com'],['https://pbs.twimg.com/media/EKXujeqUEAYoXx7.jpg'],0,0,0,"['#30daymapchallenge', '#extremeweather', '#fme']",[],https://twitter.com/Saint_GIS/status/1199627196110794752,False,,0,,,,,,,"[{'user_id': '105407287', 'username': 'Saint_GIS'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '18857808', 'username': 'SafeSoftware'}, {'user_id': '271327412', 'username': 'qgis'}]",
1199616934674915328,1199616934674915328,1574845939000,2019-11-27,04:12:19,EST,223959960,_penguin_runner,Kirsten Reilly,,A day late... #30DayMapChallenge Day 26: Hyrdology - Surface Water - Scotland #opensource #surfacewater #osopen #QGIS #gischat #geography #cartography pic.twitter.com/JLUnRRJijd,[],[],['https://pbs.twimg.com/media/EKXlPISXkAAXJll.jpg'],0,4,14,"['#30daymapchallenge', '#opensource', '#surfacewater', '#osopen', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1199616934674915328,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1199609933110693890,1199609933110693890,1574844270000,2019-11-27,03:44:30,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 27 - Resources

When I hear resources it reminds me of mines. For all you Poldark fans did you realise just how many tin mines there were in Cornwall? I believe the working tin mine count is now zero. pic.twitter.com/HKwxGVdEqI",[],[],['https://pbs.twimg.com/media/EKXe2BeWoAAje57.jpg'],3,1,9,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1199609933110693890,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1199603603775873024,1199603603775873024,1574842761000,2019-11-27,03:19:21,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day 27: Resources
Mining activity classification, Savoie
Typologies des mines de Savoie pic.twitter.com/NEZPcSGwaS",[],[],"['https://pbs.twimg.com/media/EKXZG_XXYAAW2_9.jpg', 'https://pbs.twimg.com/media/EKXZHCbX0AAw7a2.png']",0,0,4,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1199603603775873024,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}]",
1199603248409260032,1199603248409260032,1574842676000,2019-11-27,03:17:56,EST,982429849,pedro_com_es,Pedro Suárez,,Tienen algo de hipnótico los #huracanes... el mismo vídeo de ayer pero en secuencia. #30DayMapChallenge pic.twitter.com/GxWHp5nbB1,[],[],[],0,2,4,"['#huracanes', '#30daymapchallenge']",[],https://twitter.com/pedro_com_es/status/1199603248409260032,False,,1,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}]",
1199601886766125056,1199601886766125056,1574842351000,2019-11-27,03:12:31,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,Oil pipelines of the world for #30DayMapChallenge pic.twitter.com/BR1v2wuDRR,[],[],['https://pbs.twimg.com/media/EKXXjbeVUAE2F_I.jpg'],1,2,9,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1199601886766125056,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}]",
1199590430549172225,1199590430549172225,1574839620000,2019-11-27,02:27:00,EST,297915370,ruth_mottram,Ruth Mottram,,"Population isn't just about people...
This is fun.
#30DayMapChallenge https://twitter.com/AllisonCully/status/1199370230985719808 …",[],['https://twitter.com/AllisonCully/status/1199370230985719808'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1199590430549172225,False,https://twitter.com/AllisonCully/status/1199370230985719808,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1199590180048588800,1199590180048588800,1574839560000,2019-11-27,02:26:00,EST,297915370,ruth_mottram,Ruth Mottram,,"Had lots of discussions about hydrology in the Arctic yesterday, this is very neat, and apparently Estonia is quite a ""wet"" country.
#30DayMapChallenge https://twitter.com/positium/status/1199411810354548742 …",[],['https://twitter.com/positium/status/1199411810354548742'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1199590180048588800,False,https://twitter.com/positium/status/1199411810354548742,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1199589925685022721,1199589925685022721,1574839500000,2019-11-27,02:25:00,EST,138083232,swiss_geoportal,geo.admin.ch,,[EN] Digging #gold in #Switzerland map of metallic mineral #resources:  deposits and former mining sites of metallic minerals (ores) in Switzerland. Metals are no longer commercially mined in Switzerland.   https://s.geo.admin.ch/85b064aa18  by @swisstopo #sgtk #30DayMapChallenge pic.twitter.com/Tms929lwhK,['swisstopo'],['https://s.geo.admin.ch/85b064aa18'],['https://pbs.twimg.com/media/EJwgVRTXsAsi2mh.jpg'],0,0,11,"['#gold', '#switzerland', '#resources', '#sgtk', '#30daymapchallenge']",[],https://twitter.com/swiss_geoportal/status/1199589925685022721,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '135109079', 'username': 'swisstopo'}]",
1199589796475224064,1199589796475224064,1574839469000,2019-11-27,02:24:29,EST,297915370,ruth_mottram,Ruth Mottram,,"This is beautifully entertaining and very informative and also fun to watch. Top marks...
#30DayMapChallenge https://twitter.com/pedro_com_es/status/1199422181152833536 …",[],['https://twitter.com/pedro_com_es/status/1199422181152833536'],[],1,1,1,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1199589796475224064,False,https://twitter.com/pedro_com_es/status/1199422181152833536,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1199589385748074497,1199589385748074497,1574839371000,2019-11-27,02:22:51,EST,297915370,ruth_mottram,Ruth Mottram,,"This one is absolutely  stunning!

#30DayMapChallenge https://twitter.com/tjukanov/status/1199433514040614914 …",[],['https://twitter.com/tjukanov/status/1199433514040614914'],[],0,0,6,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1199589385748074497,False,https://twitter.com/tjukanov/status/1199433514040614914,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1199589202561847296,1199589202561847296,1574839327000,2019-11-27,02:22:07,EST,297915370,ruth_mottram,Ruth Mottram,,"I like the colour scheme a lot here, it's a gorgeous map, even though there are some odd gaps in the dataset (and Switzerland is a hole in the centre of Europe)

#30DayMapChallenge https://twitter.com/MarcoMinghini/status/1199434048365572098 …",[],['https://twitter.com/MarcoMinghini/status/1199434048365572098'],[],1,0,3,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1199589202561847296,False,https://twitter.com/MarcoMinghini/status/1199434048365572098,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1199587473870839809,1199587473870839809,1574838915000,2019-11-27,02:15:15,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 27 of #30DayMapChallenge – Resources:

A thread of GIS/cartography resources I’ve found invaluable during this month and beyond",[],[],[],1,3,19,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1199587473870839809,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1199585808077881346,1199585808077881346,1574838518000,2019-11-27,02:08:38,EST,165669854,williamscraigm,Craig Williams,,"#30DayMapChallenge Day 26: Hydrology. Letchworth State Park and the Genesee River. Audaciously nicknamed ""The Grand Canyon of the East,"" its beautiful deep gorge and waterfalls make it a favorite state park. pic.twitter.com/uwlots7BF9",[],[],['https://pbs.twimg.com/media/EKXI7cBVUAEjKly.jpg'],0,2,20,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1199585808077881346,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1199583267927863298,1190472318885208064,1574837912000,2019-11-27,01:58:32,EST,237889929,denisedslu,ಠ_ಠ,,"Day 24 of #30DayMapChallenge – Statistics. Going simple today… Two cuts from the same UNICEF dataset on malnutrition: First map is overview, second map shows which countries have a discrepancy between wealthy and poor populations. pic.twitter.com/wobDYXYL1U",[],[],"['https://pbs.twimg.com/media/EKXF8elW4AE2ENO.jpg', 'https://pbs.twimg.com/media/EKXF9ihWwAEmAMM.jpg']",1,0,3,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1199583267927863298,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1199570522897571840,1199570522897571840,1574834874000,2019-11-27,01:07:54,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Resources. Natural resources. (See? I did the 'Name is Bond. James Rodríguez'-thing!). I wanted to do a cobalt map, but I chose to sleep instead. #30DayMapChallenge #ore #rock #metal #blackmetal #naturalresources #exports pic.twitter.com/A54amw1dgV",[],[],['https://pbs.twimg.com/media/EKW7B0OWoAA_iQ_.jpg'],0,0,3,"['#30daymapchallenge', '#ore', '#rock', '#metal', '#blackmetal', '#naturalresources', '#exports']",[],https://twitter.com/AlsuhailFaris/status/1199570522897571840,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}]",
1199569210919313409,1199569210919313409,1574834561000,2019-11-27,01:02:41,EST,1047005255815368705,analytiikka,Kouvola Analytica 📊,,"541 Finnish railway stations!
#30DayMapChallenge Day27:resources

data: https://digitraffic.fi/rautatieliikenne/ … pic.twitter.com/vLHHNqJYnz",[],['https://digitraffic.fi/rautatieliikenne/'],['https://pbs.twimg.com/media/EKW5zuEXkAEEbDR.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/analytiikka/status/1199569210919313409,False,,0,,,,,,,"[{'user_id': '1047005255815368705', 'username': 'analytiikka'}]",
1199567507687976960,1199567507687976960,1574834155000,2019-11-27,00:55:55,EST,237889929,denisedslu,ಠ_ಠ,,Me logging on at midnight to catch up on the #30DayMapChallenge three days behind schedule pic.twitter.com/piISLZ9cRY,[],[],['https://pbs.twimg.com/media/EKW4NDKW4AAiQZV.png'],0,0,20,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1199567507687976960,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1199560378335875072,1199560378335875072,1574832455000,2019-11-27,00:27:35,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Kontich, België",#30DayMapChallenge: a small #hydrology map the shows flow patterns in the landscape based on #dhm data from @info_vlaanderen pic.twitter.com/FnMWtVFqTU,['info_vlaanderen'],[],['https://pbs.twimg.com/media/EKWxzJgW4AIfvTy.jpg'],0,0,5,"['#30daymapchallenge', '#hydrology', '#dhm']",[],https://twitter.com/michelstuyts/status/1199560378335875072,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '845226781', 'username': 'info_vlaanderen'}]",
1199523833268584449,1199523833268584449,1574823742000,2019-11-26,22:02:22,EST,2424592651,timstonge,Tim St. Onge,,#30DayMapChallenge Day 24 - Statistics: Mapping poverty rates in relation to population by county for the contiguous US. And yes I know I'm breaking the carto-rules with the non-sequential color scheme😈😈 pic.twitter.com/zD7c6vQ9Dv,[],[],['https://pbs.twimg.com/media/EKWQfY4XkAAaZA0.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1199523833268584449,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1199519961049370624,1199519961049370624,1574822819000,2019-11-26,21:46:59,EST,386830764,hasdid,Yohan J. Rodríguez,,#R #Automated | #30DayMapChallenge: 30 days building maps (3) - Earth is spherical https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/ …,[],['https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/'],[],0,2,1,"['#r', '#automated', '#30daymapchallenge']",[],https://twitter.com/hasdid/status/1199519961049370624,False,,0,,,,,,,"[{'user_id': '386830764', 'username': 'hasdid'}]",
1199489782977568768,1199489782977568768,1574815624000,2019-11-26,19:47:04,EST,27186708,jccpmx,Carlos Cortés,,"Lago de Chapala, el más grande de México... además de
presas, lagos  y ríos del centro.
#30DayMapChallenge Hydrology pic.twitter.com/iF62xy9aae",[],[],['https://pbs.twimg.com/media/EKVxmPuWoAEJt5Z.jpg'],0,1,4,['#30daymapchallenge'],[],https://twitter.com/jccpmx/status/1199489782977568768,False,,0,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1199478244833136641,1199478244833136641,1574812873000,2019-11-26,19:01:13,EST,309734801,samwise_v,Sam J,,#30DayMapChallenge Day 26: Hydrology. Quickly cobbled together some Tuscan waterways and rivers in #qgis pic.twitter.com/BMpgntxAv8,[],[],['https://pbs.twimg.com/media/EKVnGM0WsAA9Zmu.jpg'],0,0,5,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/samwise_v/status/1199478244833136641,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1199475078565679104,1199475078565679104,1574812118000,2019-11-26,18:48:38,EST,82467442,thomasg77,Thomas gratier,,#30DayMapChallenge Day 19 urban and 20 rural together. Changed color to highlight the more rural place as red instead of the opposite most of the time :) Skipped day 18 globe (will catch up later) pic.twitter.com/EmqxM1TMYc,[],[],"['https://pbs.twimg.com/media/EKVj-13WkAARFOi.jpg', 'https://pbs.twimg.com/media/EKVkAoBWkAYVZTQ.jpg']",2,2,9,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1199475078565679104,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1199467362124218370,1199467362124218370,1574810278000,2019-11-26,18:17:58,EST,82467442,thomasg77,Thomas gratier,,"Day 17 Zones #30DayMapChallenge Polarité des communes (reprise nomenclature INSEE aires urbaines) Bonus: génération arrondissements, EPCI, aires et unités urbaines, bassins de vie, zones d'emploi 2019. Beaucoup de temps sur le pré-traitement avec Geopandas moins sur le rendu… pic.twitter.com/1MdMHrqdBw",[],[],['https://pbs.twimg.com/media/EKVWjMSXkAAwHHL.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1199467362124218370,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1199466534701281282,1199466534701281282,1574810081000,2019-11-26,18:14:41,EST,2239825712,iiegj,IIEG Jalisco,,"#30DayMapChallenge Día 26. Hidrología. Cuencas exorreicas y endorreicas de Jalisco, en una cuenca endorreica sus aguas descargan a un cuerpo de agua interior, en las exorreicas los escurrimientos confluyen y desembocan en el mar o en un sistema lagunar costero, (INE, 2017) pic.twitter.com/iR5vz27jgC",[],[],['https://pbs.twimg.com/media/EKVcdP6WsAc0w0W.jpg'],0,2,4,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1199466534701281282,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1199458513669500933,1199458513669500933,1574808169000,2019-11-26,17:42:49,EST,488000929,datagistips,mathieu rajerison,,"Avec 2 jours de retard une carte d'il y a trois ans ⏲️ pour le #30daymapchallenge day 24 Statistics 🚶‍♀️🚶‍♂️
L'âge selon les départements en mode circle packing
 https://www.flickr.com/photos/10519370@N04/26242288896/ …
#dataviz #QGIS
PS : à l'époque y avait pas encore les geometry generator dans qgis🙃",[],['https://www.flickr.com/photos/10519370@N04/26242288896/'],[],0,2,6,"['#30daymapchallenge', '#dataviz', '#qgis']",[],https://twitter.com/datagistips/status/1199458513669500933,False,,0,,,,,,,"[{'user_id': '488000929', 'username': 'datagistips'}]",
1199451285973549057,1199451285973549057,1574806445000,2019-11-26,17:14:05,EST,14992557,gontsa,gontsa,,"Watershed area of small river Kovray (Cherkasy region, Ukraine) and stream detection.
#30DayMapChallenge
Day 26: Hydrology
Data: SRTM, OpenStreetMap contributors
SAGA GIS, #QGIS pic.twitter.com/cIq7oMnInD",[],[],['https://pbs.twimg.com/media/EKVOkV2XkAETzz5.jpg'],0,5,28,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/gontsa/status/1199451285973549057,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1199450943055630345,1190253562267340800,1574806364000,2019-11-26,17:12:44,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 26 (hydrology): Where each drop of rain in Europe (EU, actually) flows to pic.twitter.com/8iJ9krRRtE","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper', 'karim_douieb', 'datawrapper']",[],['https://pbs.twimg.com/media/EKVOQ9CWsAEXKPc.jpg'],4,18,75,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1199450943055630345,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}, {'user_id': '2600429268', 'username': 'karim_douieb'}, {'user_id': '500573974', 'username': 'Datawrapper'}]",
1199450160113188864,1199450160113188864,1574806177000,2019-11-26,17:09:37,EST,822048926081712128,cchurchili,Carl Churchill,,"#30DayMapChallenge #Suriname has one of the worlds largest reservoirs. Local Maroons, descended from escaped slaves, work today with the government and NGOs to steward nearby forests. Many trees weren't cut when the lake was filled, and so are still standing on the bottom today. pic.twitter.com/FHC3Y4iKOC",[],[],['https://pbs.twimg.com/media/EKVNiq1VUAELlbL.jpg'],3,4,30,"['#30daymapchallenge', '#suriname']",[],https://twitter.com/Cchurchili/status/1199450160113188864,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1199448967978913793,1199448967978913793,1574805893000,2019-11-26,17:04:53,EST,1050564098499465217,imperiiaproject,The Imperiia Project,,Getting in on the #30DayMapChallenge with Lake Baikal as mapped two hundred years ago (1827) by the Russian Army. That's one vast empire and one deep lake! #GIS #historicalmaps #Baikal #hydrology pic.twitter.com/LyBjC9V55Z,[],[],['https://pbs.twimg.com/media/EKVMd04XsAMKycL.jpg'],0,7,9,"['#30daymapchallenge', '#gis', '#historicalmaps', '#baikal', '#hydrology']",[],https://twitter.com/ImperiiaProject/status/1199448967978913793,False,,0,,,,,,,"[{'user_id': '1050564098499465217', 'username': 'ImperiiaProject'}]",
1199441199737851905,1199441199737851905,1574804041000,2019-11-26,16:34:01,EST,137107982,atdodkonfektes,Zane,,#30DayMapChallenge 26: ūdeņi. 37500 km Latvijas upju pa valsts robežu var izvīties apmēram 20 reizes.  https://enciklopedija.lv/skirklis/26188-iek%C5%A1%C4%93jie-virszemes-%C5%ABde%C5%86i-Latvij%C4%81 … pic.twitter.com/PyhfEa2Sdr,[],['https://enciklopedija.lv/skirklis/26188-iek%C5%A1%C4%93jie-virszemes-%C5%ABde%C5%86i-Latvij%C4%81'],['https://pbs.twimg.com/media/EKVFZavWsAIh-LA.jpg'],0,1,4,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1199441199737851905,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1199439942461657088,1199439942461657088,1574803741000,2019-11-26,16:29:01,EST,363276700,stevefaeembra,Steven Kay,,"#30DayMapChallenge 26. Hydrology. Surface water in the south of England. The large bare areas seem to correspond to areas of Chalk. Data from OS Open Zoomstack, using #qgis. pic.twitter.com/eVfKBM4b3D",[],[],['https://pbs.twimg.com/media/EKVEI3gWoAEmxgf.jpg'],1,3,26,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/stevefaeembra/status/1199439942461657088,False,,0,,,,,,,"[{'user_id': '363276700', 'username': 'stevefaeembra'}]",
1199438814894313473,1199438814894313473,1574803472000,2019-11-26,16:24:32,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge Day 26: Hydrology
Tools:@ArcGISPro (vignette not stolen from @John_M_Nelson)
Montana is home to America's last remaining glaciers. I wanted to make a map of Glacier NP but no time,so enjoy this elegant map of flowlines & pix of a glacier I swam in 2 years ago. pic.twitter.com/SzpAn8CTk9","['arcgispro', 'john_m_nelson']",[],['https://pbs.twimg.com/media/EKVDO6qWsAUBBkP.jpg'],2,1,15,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1199438814894313473,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}, {'user_id': '381150541', 'username': 'John_M_Nelson'}]",
1199434048365572098,1199434048365572098,1574802336000,2019-11-26,16:05:36,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 2⃣3⃣ Population:
Population density per square km grid cell in EU Member States, derived from Corine Land Cover 2000.

Source: @EUEnvironment (via @EU_DataPortal):  https://www.eea.europa.eu/data-and-maps/data/population-density-disaggregated-with-corine-land-cover-2000-2 …
Map: @qgis pic.twitter.com/l1ySb0mz3y","['euenvironment', 'eu_dataportal', 'qgis']",['https://www.eea.europa.eu/data-and-maps/data/population-density-disaggregated-with-corine-land-cover-2000-2'],['https://pbs.twimg.com/media/EKU-5RUWwAAWNGq.jpg'],0,1,13,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1199434048365572098,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '22362552', 'username': 'EUEnvironment'}, {'user_id': '3740214921', 'username': 'EU_DataPortal'}, {'user_id': '271327412', 'username': 'qgis'}]",
1199433514040614914,1199433514040614914,1574802208000,2019-11-26,16:03:28,EST,2198358416,tjukanov,Topi Tjukanov,,#30DayMapChallenge Day 26: hydrology. Meandering river Oulanka. From @Maanmittaus elevation models with QGIS. pic.twitter.com/eDfPuhQwrV,['maanmittaus'],[],['https://pbs.twimg.com/media/EKU-avkWwAA6kqZ.jpg'],5,10,91,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1199433514040614914,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}]",
1199433192224235522,1199433192224235522,1574802132000,2019-11-26,16:02:12,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 26: Hydrology
A simple side-by-side map of Philadelphia's streams, historic and current. So much of the city has been paved over, most streams are underground now. I added hillshade for visual effect. Data from @opendataphilly and @USGS pic.twitter.com/4WINc4KFpD","['opendataphilly', 'usgs']",[],['https://pbs.twimg.com/media/EKU-HRoWwAE1rID.jpg'],0,1,8,['#30daymapchallenge'],[],https://twitter.com/PhilPierdo/status/1199433192224235522,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '212275098', 'username': 'opendataphilly'}, {'user_id': '14505838', 'username': 'USGS'}]",
1199431518755704832,1199431518755704832,1574801733000,2019-11-26,15:55:33,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge
Day 25: Hidrology

Debido a la pobreza de bases de datos hidrológicos de nuestra ciudad, solo pude mapear los grifos // Due to the poverty of hydrological databases in our city, I could only map the standpipes.

Enjoy!

Data from @SISS_CHILE pic.twitter.com/2TqQfNkybT",['siss_chile'],[],['https://pbs.twimg.com/media/EKU8lvCWkAIIdwI.png'],5,12,40,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1199431518755704832,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '114498527', 'username': 'SISS_CHILE'}]",
1199430642427146240,1199430642427146240,1574801524000,2019-11-26,15:52:04,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
Map_26

Mapa de conques hidrogràfiques principals de Catalunya.
(2008).

El post @iagua que comparto es
Sintesis del proyecto Trivers. @aigua_cat
 https://www.iagua.es/blogs/ignasi-servia-goixart/sintesis-proyecto-trivers … pic.twitter.com/NUBYpbN26S","['iagua', 'aigua_cat']",['https://www.iagua.es/blogs/ignasi-servia-goixart/sintesis-proyecto-trivers'],['https://pbs.twimg.com/media/EKU7wklXYAEoUwZ.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1199430642427146240,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}, {'user_id': '1615168664', 'username': 'aigua_cat'}]",
1199428799298969605,1191005941547896838,1574801084000,2019-11-26,15:44:44,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge (day 26 / map 26): A #GoogleEarthEngine-based map app which visualizes @CopernicusEU #Sentinel2 (S2) imagery of the #Belize River's discharge into the #Caribbean Sea + the S2 Normalized Difference Chlorophyll Index (NDCI) time series.

 https://bz-sdg.earthengine.app/view/bz-river-viewer-s2 … pic.twitter.com/aXcrlBb9Pj","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity', 'mcsalajan']",['https://bz-sdg.earthengine.app/view/bz-river-viewer-s2'],['https://pbs.twimg.com/media/EKU6H7MWsAgB3qD.jpg'],1,1,3,"['#30daymapchallenge', '#googleearthengine', '#sentinel2', '#belize', '#caribbean']",[],https://twitter.com/BZgeo/status/1199428799298969605,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}, {'user_id': '1118190446566694912', 'username': 'mcsalajan'}, {'user_id': '1108813370130616321', 'username': 'CZMAIBelize'}]",
1199428757695672322,1199428757695672322,1574801074000,2019-11-26,15:44:34,EST,14130929,ttso,Tuija Sonkkila,,"#30DayMapChallenge Day 26: Hydrology. Watershed of the river Vantaa, plus #Helsinki region waterways until Gulf of Finland. Code:  https://github.com/tts/mapchallenge/blob/master/hkiwater.R … Data via  @SYKEint VALUE @HRInfoshare #rstats #sf pic.twitter.com/J7SlwhrLyT","['sykeint', 'hrinfoshare']",['https://github.com/tts/mapchallenge/blob/master/hkiwater.R'],"['https://pbs.twimg.com/media/EKU4TZbXYAAsvAK.jpg', 'https://pbs.twimg.com/media/EKU5s5zW4AEvDE8.jpg']",0,1,4,"['#30daymapchallenge', '#helsinki', '#rstats', '#sf']",[],https://twitter.com/ttso/status/1199428757695672322,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '1022066448070569984', 'username': 'SYKEint'}, {'user_id': '304376130', 'username': 'HRInfoshare'}]",
1199427857828548608,1199427857828548608,1574800860000,2019-11-26,15:41:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/985258866681303045 …",[],['https://twitter.com/LASACONGRESS/status/985258866681303045'],[],0,3,9,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199427857828548608,False,https://twitter.com/LASACONGRESS/status/985258866681303045,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199425220127444992,1199425220127444992,1574800231000,2019-11-26,15:30:31,EST,461965493,kriksine,Kristīne,,"#30DayMapChallenge 26.diena, hidroloģija. Latvija ir bagāta ar krāsām. Zilo ezeru zeme, bet vai tiešām? pic.twitter.com/FaB4cS0eFn",[],[],[],1,5,11,['#30daymapchallenge'],[],https://twitter.com/kriksine/status/1199425220127444992,False,,1,,,,,,,"[{'user_id': '461965493', 'username': 'kriksine'}]",
1199422181152833536,1199422181152833536,1574799506000,2019-11-26,15:18:26,EST,982429849,pedro_com_es,Pedro Suárez,,"Animación simultanea de los huracanes sobre el Atlántico en 2017 y 2018, coloreados por meses.

Para el reto del clima del #30DayMapChallenge está bien.

Fuentes: Mapa del @IGNSpain y huracanes del @NHC_Atlantic pic.twitter.com/og3XLQocKl","['ignspain', 'nhc_atlantic']",[],[],0,5,19,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1199422181152833536,False,,1,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '193908521', 'username': 'IGNSpain'}, {'user_id': '299798272', 'username': 'NHC_Atlantic'}]",
1199411810354548742,1199411810354548742,1574797034000,2019-11-26,14:37:14,EST,34737662,positium,Positium,,"Just 4 more days!
Day 26 of the #30DayMapChallenge (#hydrology): A map of Estonian water bodies and place names with the word 'water' in them. The three most common place names are Vesiroosi - 48 (water lily), Vesiveski - 42 (watermill) and Vee - 23 (water's).
#water #map pic.twitter.com/hP33gtj9Vu",[],[],['https://pbs.twimg.com/media/EKUqrJ-XYAUZar5.jpg'],0,2,9,"['#30daymapchallenge', '#hydrology', '#water', '#map']",[],https://twitter.com/positium/status/1199411810354548742,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1199409680721694720,1199409680721694720,1574796526000,2019-11-26,14:28:46,EST,23882091,louspirito,Lou Spirito,,"This isn’t a true map series. It’s more of a visualization since routes are not precise. That said, it’s my humble and shameless contribution to the #30DayMapChallenge https://twitter.com/thirty81project/status/1199375413807476736 …",[],['https://twitter.com/thirty81project/status/1199375413807476736'],[],0,1,1,['#30daymapchallenge'],[],https://twitter.com/louspirito/status/1199409680721694720,False,https://twitter.com/THIRTY81Project/status/1199375413807476736,0,,,,,,,"[{'user_id': '23882091', 'username': 'louspirito'}]",
1199408653079584768,1199408653079584768,1574796281000,2019-11-26,14:24:41,EST,509842172,agroder,AgroDer,,"La producción de alimentos es el principal uso que damos al #Agua y #Suelo.

Las condiciones en que éstos se encuentran en México nos exigen transitar hacia modelos productivos #sostenibles y acercarnos a lo #orgánico.
#30DayMapChallenge pic.twitter.com/1hnP2h3m3q",[],[],[],0,5,7,"['#agua', '#suelo', '#sostenibles', '#orgánico', '#30daymapchallenge']",[],https://twitter.com/AgroDer/status/1199408653079584768,False,,1,,,,,,,"[{'user_id': '509842172', 'username': 'AgroDer'}]",
1199403568597536769,1199403568597536769,1574795069000,2019-11-26,14:04:29,EST,3195365733,junevgt,Justine Vignat,,"Jour 26 du #30DayMapChallenge, au programme ""hydrologie"". Ci-dessous la carte de ""l'or bleu"" #lagéoçasedessine #STINARTO https://twitter.com/Junevgt/status/1076408261996396544 …",[],['https://twitter.com/Junevgt/status/1076408261996396544'],[],0,0,17,"['#30daymapchallenge', '#lagéoçasedessine', '#stinarto']",[],https://twitter.com/Junevgt/status/1199403568597536769,False,https://twitter.com/Junevgt/status/1076408261996396544,0,,,,,,,"[{'user_id': '3195365733', 'username': 'Junevgt'}]",
1199384865453596672,1199384865453596672,1574790610000,2019-11-26,12:50:10,EST,982429849,pedro_com_es,Pedro Suárez,,"Día 26, reto 'hidrology' #30DayMapChallenge

Sigo sin tiempo así que publico algo sencillo. 'España. Ríos, cauces artificiales y embalses.'

Fuente: mapas del @IGNSpain . pic.twitter.com/WoTueNWyeW",['ignspain'],[],['https://pbs.twimg.com/media/EKUSLDlWwAMusag.jpg'],0,1,2,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1199384865453596672,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '193908521', 'username': 'IGNSpain'}]",
1199382950632214530,1199382950632214530,1574790153000,2019-11-26,12:42:33,EST,261631571,hendrikxleo,Leo,,"Day 26: Hydrology #30DayMapChallenge River basins in Australia
Data:  https://koordinates.com/layer/741-australias-river-basins-1997/ … pic.twitter.com/Or0PpRWCYC",[],['https://koordinates.com/layer/741-australias-river-basins-1997/'],['https://pbs.twimg.com/media/EKUQbhLWoAEc3vC.jpg'],0,1,1,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1199382950632214530,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1199382391112060928,1199382391112060928,1574790020000,2019-11-26,12:40:20,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge Día 26 – Hydrology:
Curso del río #Manzanares desde el Pardo y #Madrid hasta #RivasVaciamadrid; y de los ríos #Jarama y #Tajo hasta #Toledo con la propuesta de hacerlos navegables. Año 1668. #España #Hidrología Archivo de #Simancas pic.twitter.com/Gum4MxNjaz",[],[],"['https://pbs.twimg.com/media/EKUP4j7XkAAapl0.jpg', 'https://pbs.twimg.com/media/EKUP6D0XUAAMtYV.jpg', 'https://pbs.twimg.com/media/EKUP6z8XkAUOgcU.jpg']",0,2,3,"['#30daymapchallenge', '#manzanares', '#madrid', '#rivasvaciamadrid', '#jarama', '#tajo', '#toledo', '#españa', '#hidrología', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1199382391112060928,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1199371494037606401,1199371494037606401,1574787422000,2019-11-26,11:57:02,EST,3720386117,teemusaloriutta,Teemu Saloriutta,,#30DayMapChallenge day 26: hydrology. Suomessa lähti takavuosina soiden ojitus pikkaisen lapasesta. Ääriesimerkkinä kartassa Pyhännän Iso Lamujärvi ympäristöineen. Data @Maanmittaus Maastotietokannasta. pic.twitter.com/99npxSid9n,['maanmittaus'],[],['https://pbs.twimg.com/media/EKUGAatWsAE-V3A.jpg'],1,2,19,['#30daymapchallenge'],[],https://twitter.com/TeemuSaloriutta/status/1199371494037606401,False,,0,,,,,,,"[{'user_id': '3720386117', 'username': 'TeemuSaloriutta'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}]",
1199370230985719808,1199370230985719808,1574787120000,2019-11-26,11:52:00,EST,886193556,allisoncully,Allison Cully,,"Day 23: Population
Cat and dog density in my home town. I used to be a downtown cat person, now I'm on the outskirts with both!
Hope I can catch up before the 30 days is over...
#30DayMapChallenge #ArcGISPro pic.twitter.com/OHFnUzDcRu",[],[],['https://pbs.twimg.com/media/EKUE3TQU0AET9pq.jpg'],1,0,12,"['#30daymapchallenge', '#arcgispro']",[],https://twitter.com/AllisonCully/status/1199370230985719808,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1199367781084549120,1199367781084549120,1574786536000,2019-11-26,11:42:16,EST,77265423,ijturton,Ian Turton,,Day 26 of #30DayMapChallenge is hydrology (not a subject I know anything about) so I drew a nice map of the Thames. I was going to add a profile but it seems that some sections of the river run backwards in my copy of the OpenRivers dataset! pic.twitter.com/xo3haHItgi,[],[],['https://pbs.twimg.com/media/EKUCn25XUAQ6df2.jpg'],0,1,4,['#30daymapchallenge'],[],https://twitter.com/ijturton/status/1199367781084549120,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1199364361900482566,1199364361900482566,1574785721000,2019-11-26,11:28:41,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 26: Hydrology
Portion of Richland County, Ohio (streams on DEM).
#gis #geography #geographyteacher #cartography #maps #map #richlandcountyohio #hydrology pic.twitter.com/4M6kfnNwtJ",[],[],['https://pbs.twimg.com/media/EKT_g75XsAAj949.jpg'],0,0,1,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#richlandcountyohio', '#hydrology']",[],https://twitter.com/my_physical/status/1199364361900482566,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1199363933418803203,1199363933418803203,1574785619000,2019-11-26,11:26:59,EST,4241359336,philmassicotte,Philippe Massicotte,,For this #30DayMapChallenge #⃣2⃣6⃣ I visualize the main #watersheds in North America. Made with #rstats pic.twitter.com/m9O84MmeeW,[],[],['https://pbs.twimg.com/media/EKT_Ic8WoAEWQ7i.jpg'],0,5,10,"['#30daymapchallenge', '#watersheds', '#rstats']",[],https://twitter.com/philmassicotte/status/1199363933418803203,False,,0,,,,,,,"[{'user_id': '4241359336', 'username': 'philmassicotte'}]",
1199362618198245377,1199362618198245377,1574785305000,2019-11-26,11:21:45,EST,2620245419,negbogah,Ifeoma Oti Egbogah MSc,,"Day 26: #30DayMapChallenge theme: hydrology. The map shows the two main rivers (#Niger, #Benue) of Nigeria and also Lake Chad. #rstat #rayshader. Data: diva-gis pic.twitter.com/DfJ9WHUZNW",[],[],[],1,12,65,"['#30daymapchallenge', '#niger', '#benue', '#rstat', '#rayshader']",[],https://twitter.com/negbogah/status/1199362618198245377,False,,1,,,,,,,"[{'user_id': '2620245419', 'username': 'negbogah'}]",
1199359997764784128,1192855827272675329,1574784681000,2019-11-26,11:11:21,EST,1192848641771393027,colmixe,Colmix,,"Día 25: Clima / Ja än ja xux
El 2019 ha sido el año más seco en la región #mixe desde que se iniciaron los registros del ""Monitor de sequía en México"". El más afectado es el municipio de Guichicovi, seguido de los municipios de Cotzocón y Mazatlán.
#30DayMapChallenge pic.twitter.com/Td4ZH8oqF6",[],[],['https://pbs.twimg.com/media/EKT7jdkUYAAy4tV.jpg'],1,2,6,"['#mixe', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1199359997764784128,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1199355165050060801,1199355165050060801,1574783528000,2019-11-26,10:52:08,EST,3552542476,sannajokela1,Sanna Jokela,,"#30DayMapChallenge Day 26. Hydrology. As usual, I tried a lot of things from Teno river meanders to sea level fluctuations. And what did I come up with in the end? Africa. QGIS, natural earth rivers, mask for continent. Interesting also to notice that no rivers in Sahara. Daaa 🤷‍♀️ pic.twitter.com/xywvBY9g0s",[],[],['https://pbs.twimg.com/media/EKT3JA-XkAAsdVS.jpg'],1,1,18,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1199355165050060801,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}]",
1199354858811379720,1199354858811379720,1574783455000,2019-11-26,10:50:55,EST,257218656,descifra,DESCIFRA,,"Precipitación en #México por estado en 2018
Day 26: Hidrology #30DayMapChallenge
#lovepredictinglocations #BigData pic.twitter.com/zHivtoYLWd",[],[],['https://pbs.twimg.com/media/EKT240gXsAAaG1i.jpg'],0,0,4,"['#méxico', '#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1199354858811379720,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1199350433342459904,1199350433342459904,1574782400000,2019-11-26,10:33:20,EST,2756004123,emu_info,Emu Analytics,,"Today's map for ""Hydrology"" in the #30DayMapChallenge is looking like a zap ice lolly 🧡💛💚💙💜  the map shows the hydrology of the UK and the location of the rivers (coloured by river basin) - you can explore the map here:  https://locationinsights.co.uk/b/jB  #datavisualisation pic.twitter.com/fSKfI9KA0n",[],['https://locationinsights.co.uk/b/jB'],['https://pbs.twimg.com/media/EKTy224XsAEPs0J.jpg'],0,1,4,"['#30daymapchallenge', '#datavisualisation']",[],https://twitter.com/emu_info/status/1199350433342459904,False,,0,,,,,,,"[{'user_id': '2756004123', 'username': 'emu_info'}]",
1199347756571099137,1199347756571099137,1574781762000,2019-11-26,10:22:42,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/838946459793960961 …",[],['https://twitter.com/LASACONGRESS/status/838946459793960961'],[],0,2,7,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199347756571099137,False,https://twitter.com/LASACONGRESS/status/838946459793960961,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199347605588721664,1199347605588721664,1574781726000,2019-11-26,10:22:06,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 26

FME is still trying to render the idea I had so let's save that for another day! Here's our canal network and the urban areas it links up pic.twitter.com/6d7wjZcc1H",[],[],['https://pbs.twimg.com/media/EKTwQLjUUAY05Co.jpg'],2,3,8,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1199347605588721664,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1199347514773622784,1199347514773622784,1574781704000,2019-11-26,10:21:44,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 26 #Hydrology
🌊 Corrientes de agua en México
#QGIS pic.twitter.com/gRfT7McJ9S",[],[],['https://pbs.twimg.com/media/EKTwLs0UwAMy7Zn.jpg'],0,2,16,"['#30daymapchallenge', '#hydrology', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1199347514773622784,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1199345293528928257,1199345293528928257,1574781175000,2019-11-26,10:12:55,EST,167987822,danielchoperena,Daniel Choperena,"Miguel Hidalgo, Distrito Federal","Mapa 3. Densidad de unidades públicas de Primer Nivel de Atención de la @SSalud_mx, @Tu_IMSS e @ISSSTE_mx ¿Hay acceso efectivo? Fuente: DENUE (procesado) de @INEGI_INFORMA #30DayMapChallenge pic.twitter.com/26csyu5YUU","['ssalud_mx', 'tu_imss', 'issste_mx', 'inegi_informa']",[],['https://pbs.twimg.com/media/EKTuLx9UYAEMlFR.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/DanielChoperena/status/1199345293528928257,False,,0,,,,,,,"[{'user_id': '167987822', 'username': 'DanielChoperena'}, {'user_id': '132225222', 'username': 'SSalud_mx'}, {'user_id': '69034805', 'username': 'Tu_IMSS'}, {'user_id': '1183751622', 'username': 'ISSSTE_mx'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}]",
1199341378687291398,1199341378687291398,1574780242000,2019-11-26,09:57:22,EST,2574612668,hireuter,hannes reuter,,#30DayMapChallenge 26. Hydrology - Some ports and inland water ways used in statistical reporting - joined contributions by @EU_Eurostat E4 #GISCO Team - 4days2go pic.twitter.com/fEh6o41kIO,['eu_eurostat'],[],['https://pbs.twimg.com/media/EKTqnv6UcAEvuKi.png'],0,0,6,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1199341378687291398,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1199338263959326720,1199338263959326720,1574779499000,2019-11-26,09:44:59,EST,919806358328958976,gis3700,Vicky Verscheijden,,"#30DayMapChallenge
Stroomgebied ""Schelde versus Maas"" in Limburg  http://geotic.maps.arcgis.com/apps/Styler/index.html?appid=1e02a9abefea404794f4e5f97d31ca6f … pic.twitter.com/AgUeV9AcVP",[],['http://geotic.maps.arcgis.com/apps/Styler/index.html?appid=1e02a9abefea404794f4e5f97d31ca6f'],['https://pbs.twimg.com/media/EKTnySrVUAEkDfA.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/gis3700/status/1199338263959326720,False,,0,,,,,,,"[{'user_id': '919806358328958976', 'username': 'gis3700'}]",
1199337452835487744,1199337452835487744,1574779306000,2019-11-26,09:41:46,EST,32283900,borismericskay,Boris Mericskay,,"Day 26 of #30DayMapChallenge - Hydrology

🔁Major France watersheds 🔁

Open Dataset from @IGNFrance / #MadewithQGIS
> http://www.sandre.eaufrance.fr/atlas/srv/fre/catalog.search#/metadata/0a0977fa-746b-441d-b4c1-4bf5e36998b0 … pic.twitter.com/vaQZKG22uS",['ignfrance'],['http://www.sandre.eaufrance.fr/atlas/srv/fre/catalog.search#/metadata/0a0977fa-746b-441d-b4c1-4bf5e36998b0'],['https://pbs.twimg.com/media/EKTnA18U8AESxrL.jpg'],1,4,9,"['#30daymapchallenge', '#madewithqgis']",[],https://twitter.com/BorisMericskay/status/1199337452835487744,False,,0,,,,,,,"[{'user_id': '32283900', 'username': 'BorisMericskay'}, {'user_id': '57276576', 'username': 'IGNFrance'}]",
1199332911079677952,1199332911079677952,1574778223000,2019-11-26,09:23:43,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge
Day 23: Population

Estimation* of population variation between Census 2012 and 2017 / Estimación de la variación poblacional entre censos 2012 y 2017

*Experimental methodology  / Metodología experimental

Data from @INE_Chile pic.twitter.com/EEx77eIcLF",['ine_chile'],[],['https://pbs.twimg.com/media/EKTi5PeU4AAV-B5.jpg'],3,5,30,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1199332911079677952,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '138048178', 'username': 'INE_Chile'}]",
1199331818236825601,1199331818236825601,1574777962000,2019-11-26,09:19:22,EST,414943174,benfriin,Ben,,"Day 26 of #30DayMapChallenge - hydrology

Analyse du PH en Normandie !
#API #hydrologie #nitrates #qualite #eau @RegionNormandie pic.twitter.com/M8Wya0i2jg",['regionnormandie'],[],['https://pbs.twimg.com/media/EKTh7PUWwAAzebM.jpg'],0,0,1,"['#30daymapchallenge', '#api', '#hydrologie', '#nitrates', '#qualite', '#eau']",[],https://twitter.com/benfriin/status/1199331818236825601,False,,0,,,,,,,"[{'user_id': '414943174', 'username': 'benfriin'}, {'user_id': '2892178227', 'username': 'RegionNormandie'}]",
1199330564496601089,1199330564496601089,1574777663000,2019-11-26,09:14:23,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 25. Hydrology

We used @openstreetmap data to map the most important natural  (🔵) and men-made (🔴) waterways in The Netherlands. As you can clearly see, canals and rivers are like the veins of the country.

Large version 👉🏻 https://t.localfocus.nl/?b28282c  pic.twitter.com/MExToQW7jz",['openstreetmap'],['https://t.localfocus.nl/?b28282c'],['https://pbs.twimg.com/media/EKTfIARX0AE40dR.jpg'],1,4,7,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1199330564496601089,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1199327937872506880,1199327937872506880,1574777037000,2019-11-26,09:03:57,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge Día 26 – Hydrology:
Mapa de la navegación de Walter Raleigh por el río #Orinoco  (1617?) entregado por un francés al espionaje español; incluye las islas de Trinidad y Margarita y parte de Amazonas. #Venezuela #GuayanaFrancesa #Hidrología
Archivo de #Simancas pic.twitter.com/xBrCCqebMf",[],[],['https://pbs.twimg.com/media/EKTeZKqXUAUG5S4.jpg'],0,1,2,"['#30daymapchallenge', '#orinoco', '#venezuela', '#guayanafrancesa', '#hidrología', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1199327937872506880,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1199326199195021312,1190196553165737984,1574776622000,2019-11-26,08:57:02,EST,41566604,pierrebrt,Pierre Breteau,,"Jour 26 du #30DayMapChallenge et après une longue pause me revoilà pour l'« hydrologie ». Je vous propose donc cette carte des fleuves (avec leurs affluents principaux), et les niveaux de bathymétrie. ET OUI, EN VERT, PARCE QUE POURQUOI PAS. pic.twitter.com/wMhLxAmgq0",[],[],['https://pbs.twimg.com/media/EKTc0FmWkAExWSI.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/pierrebrt/status/1199326199195021312,False,,0,,,,,,,"[{'user_id': '41566604', 'username': 'pierrebrt'}]",
1199325261180948483,1199325261180948483,1574776399000,2019-11-26,08:53:19,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 26. Hydrology: Bathymetry of the Baltic Sea along the Estonian coast together with the elevation map of Estonia pic.twitter.com/vin6ydo9H6,[],[],['https://pbs.twimg.com/media/EKTb9UwXkAAlAaL.jpg'],0,2,17,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1199325261180948483,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1199324986114289664,1199279402175086593,1574776333000,2019-11-26,08:52:13,EST,333524694,crvanpollard,Christopher Pollard,"Pennsylvania, USA","Are some of Makeover Monday datasets, Open Data and freely available and accessible for use in other mapping projects? Need something for my #30DayMapChallenge this week.","['trimydata', 'tableau']",[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1199324986114289664,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '3958405758', 'username': 'TriMyData'}, {'user_id': '14792516', 'username': 'tableau'}]",
1199322419422470144,1199322419422470144,1574775721000,2019-11-26,08:42:01,EST,101099978,yes_vy,Yes Vermont Yankee,,"For those of you on twitter, the hashtag #30DayMapChallenge is amazing! This month, all sorts of people are building all sorts of maps to illustrate all sorts of things. Demographics. Floodplains. Favorite car...  https://www.facebook.com/SaveVermontYankee/posts/3543835132323242 …",[],['https://www.facebook.com/SaveVermontYankee/posts/3543835132323242'],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/yes_VY/status/1199322419422470144,False,,0,,,,,,,"[{'user_id': '101099978', 'username': 'yes_VY'}]",
1199322311985377280,1199322311985377280,1574775696000,2019-11-26,08:41:36,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland","A really simple map for day 26 of the #30DayMapChallenge - a look at Amsterdam’s (many) canals!

#hydrology pic.twitter.com/MvZIwRNfyR",[],[],['https://pbs.twimg.com/media/EKTZRBUWoAAvLZt.jpg'],0,1,7,"['#30daymapchallenge', '#hydrology']",[],https://twitter.com/blanky343/status/1199322311985377280,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1199321657896243203,1199321657896243203,1574775540000,2019-11-26,08:39:00,EST,276280627,pnelson917,Patrick Nelson,,Day 26 of the #30DayMapChallenge :  Hydrology…Water Basins from the @USGS.  We'll zoom to the one's where I grew up with.  #IMNOS pic.twitter.com/OkFPgU2DNY,['usgs'],[],['https://pbs.twimg.com/media/EKFJ9VAUcAEkdbM.jpg'],0,0,2,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1199321657896243203,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}, {'user_id': '14505838', 'username': 'USGS'}]",
1199320926007025664,1199320926007025664,1574775365000,2019-11-26,08:36:05,EST,760094405369946112,hansakwast,Hans van der Kwast,,#30DayMapChallenge Day 26: #hydrology. This one is inspired by students who draped data in the wrong way. They used #discharge as #elevation and the #DEM for the colours. Result: great #dataviz of discharge dynamics in the #Scheldt river! #opensource software: #PCRaster #Aguila pic.twitter.com/3OGpUTLQRZ,[],[],[],3,7,35,"['#30daymapchallenge', '#hydrology', '#discharge', '#elevation', '#dem', '#dataviz', '#scheldt', '#opensource', '#pcraster', '#aguila']",[],https://twitter.com/hansakwast/status/1199320926007025664,False,,1,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}]",
1199314489402908674,1199314489402908674,1574773831000,2019-11-26,08:10:31,EST,874597331424993281,gis_manipulator,The Spatial Data Manipulator,,"Day 26 of the #30DayMapChallenge and I created a LiDAR-derived relative elevation model (REM). LiDAR data can be extremely useful to visualise river features such as historic river channels and floodplains!

More information about REMs can be found here:  https://ngmdb.usgs.gov/Info/dmt/docs/DMT16_Coe.pdf … pic.twitter.com/2lpq4nqwWp",[],['https://ngmdb.usgs.gov/Info/dmt/docs/DMT16_Coe.pdf'],['https://pbs.twimg.com/media/EKTSKUhWoAAsNyb.jpg'],0,0,6,['#30daymapchallenge'],[],https://twitter.com/GIS_Manipulator/status/1199314489402908674,False,,0,,,,,,,"[{'user_id': '874597331424993281', 'username': 'GIS_Manipulator'}]",
1199314169419517954,1199314169419517954,1574773754000,2019-11-26,08:09:14,EST,760094405369946112,hansakwast,Hans van der Kwast,,"Nice results from @chalaoliverio! Topographic Wetness Index (#TWI) calculated from a high resolution #DEM for a parcel. He used #QGIS with #SAGA tools from the processing toolbox. See  https://youtu.be/aHCLCUwg3O0
#30DayMapChallenge #hydrology @ihedelft #agriculture #GIS https://twitter.com/chalaoliverio/status/1199300192132055040 …","['chalaoliverio', 'ihedelft']","['https://youtu.be/aHCLCUwg3O0', 'https://twitter.com/chalaoliverio/status/1199300192132055040']",[],1,1,2,"['#twi', '#dem', '#qgis', '#saga', '#30daymapchallenge', '#hydrology', '#agriculture', '#gis']",[],https://twitter.com/hansakwast/status/1199314169419517954,False,https://twitter.com/chalaoliverio/status/1199300192132055040,0,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}, {'user_id': '153144751', 'username': 'chalaoliverio'}, {'user_id': '19395129', 'username': 'ihedelft'}]",
1199314022484652033,1199314022484652033,1574773719000,2019-11-26,08:08:39,EST,1413281545,thomasbanafa,Thomas Banafa,,"#30DayMapChallenge Day 26 – hydrology
Finland’s river network and catchment areas (level 3); transboundary catchments not included.
Data: @SYKEinfo, @pinnanalta
#MadewithQGIS, #avoindata, #QGIS pic.twitter.com/JAtinKb2CJ","['sykeinfo', 'pinnanalta']",[],['https://pbs.twimg.com/media/EKTRvOPW4AMTUqE.jpg'],0,1,14,"['#30daymapchallenge', '#madewithqgis', '#avoindata', '#qgis']",[],https://twitter.com/ThomasBanafa/status/1199314022484652033,False,,0,,,,,,,"[{'user_id': '1413281545', 'username': 'ThomasBanafa'}, {'user_id': '2190170011', 'username': 'SYKEinfo'}, {'user_id': '404782713', 'username': 'pinnanalta'}]",
1199312297145053186,1199312297145053186,1574773308000,2019-11-26,08:01:48,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge Día 26 – Hydrology:
Croquis de algunos dominios del rey de Arabia y otros colindantes a los ríos #Tigris y #Éufrates presentado al rey  por el “xeque Ferhan, embaxador de Asid Mobareq, rey árabe” en el año 1617. #Irak #Hidrología Archivo de #Simancas pic.twitter.com/c3VeT4jxXR",[],[],['https://pbs.twimg.com/media/EKTQKmbXsAEP8BV.jpg'],0,8,13,"['#30daymapchallenge', '#tigris', '#éufrates', '#irak', '#hidrología', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1199312297145053186,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1199308388259319809,1199308388259319809,1574772376000,2019-11-26,07:46:16,EST,2787878432,mildthing99,BC,,"Water supply / Rivers with Year 8: Using @ArcGISOnline #Analysis to show catchment areas and watersheds for major rivers in UK e.g. Severn v Thames #30DayMapChallenge #HYDROLOGY @tjukanov
@GIS4Schools @geogologue pic.twitter.com/jAMD2KbgGS","['arcgisonline', 'tjukanov', 'gis4schools', 'geogologue']",[],['https://pbs.twimg.com/media/EKTMnafWkAA8BxZ.jpg'],0,4,7,"['#analysis', '#30daymapchallenge', '#hydrology']",[],https://twitter.com/mildthing99/status/1199308388259319809,False,,0,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '2314451911', 'username': 'ArcGISOnline'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '34434120', 'username': 'GIS4Schools'}, {'user_id': '715437344858443776', 'username': 'geogologue'}]",
1199307858434822144,1193141333722054657,1574772250000,2019-11-26,07:44:10,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 26 : Hydrology - Cours d'eau et licences de canoë-kayak dans le Nord et le Pas-de-Calais #Nord #PdC #RStats #OpenData  https://github.com/Grisoudre/30DayMapChallenge/tree/master/day26_hydrology … pic.twitter.com/Rz2NBHdsiF,[],['https://github.com/Grisoudre/30DayMapChallenge/tree/master/day26_hydrology'],['https://pbs.twimg.com/media/EKTMIVgWwAEA9o1.jpg'],0,1,5,"['#30daymapchallenge', '#nord', '#pdc', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1199307858434822144,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1199307135529734146,1190981899684139008,1574772077000,2019-11-26,07:41:17,EST,836653702182207492,elio_javi,Javier Elío,,"Day 26: Hydrology. International Hydrogeological Map of Europe. Data from the Federal Institute for Geosciences and Natural Resources (BGR).

Code:  https://github.com/javiereliomedina/R_Maps.git …
#30DayMapChallenge #rstats #ggplot2 #sf #tidyverse pic.twitter.com/c9EEhEoJVs","['ecmwf', 'copernicuseu']",['https://github.com/javiereliomedina/R_Maps.git'],['https://pbs.twimg.com/media/EKTLelZWwAIwdVG.png'],1,3,2,"['#30daymapchallenge', '#rstats', '#ggplot2', '#sf', '#tidyverse']",[],https://twitter.com/Elio_Javi/status/1199307135529734146,False,,0,,,,,,,"[{'user_id': '836653702182207492', 'username': 'Elio_Javi'}, {'user_id': '370094706', 'username': 'ECMWF'}, {'user_id': '978604706', 'username': 'CopernicusEU'}]",
1199306854423302153,1199306261487063042,1574772010000,2019-11-26,07:40:10,EST,2787878432,mildthing99,BC,,#30DayMapChallenge #HYDROLOGY @tjukanov https://twitter.com/mildthing99/status/1194675315848699906?s=19 …,['tjukanov'],['https://twitter.com/mildthing99/status/1194675315848699906?s=19'],[],0,0,0,"['#30daymapchallenge', '#hydrology']",[],https://twitter.com/mildthing99/status/1199306854423302153,False,https://twitter.com/mildthing99/status/1194675315848699906,0,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1199306261487063042,1199306261487063042,1574771869000,2019-11-26,07:37:49,EST,2787878432,mildthing99,BC,,#30DayMapChallenge #HYDROLOGY @tjukanov https://twitter.com/mildthing99/status/1194299603371397121 …,['tjukanov'],['https://twitter.com/mildthing99/status/1194299603371397121'],[],1,0,0,"['#30daymapchallenge', '#hydrology']",[],https://twitter.com/mildthing99/status/1199306261487063042,False,https://twitter.com/mildthing99/status/1194299603371397121,0,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1199303016559587328,1199303016559587328,1574771095000,2019-11-26,07:24:55,EST,359015182,7javier6,Javier,,"#30DayMapChallenge day 24, Mujeres desaparecidas en Colombia según el observatorio de violencia de medicina legal desde 2016 hasta abril de 2019 #NoViolenciaAlaMujer @ddiazescandon pic.twitter.com/F1W74QuOV6",['ddiazescandon'],[],['https://pbs.twimg.com/media/EKTHuLhWoAAO8HA.jpg'],1,1,4,"['#30daymapchallenge', '#noviolenciaalamujer']",[],https://twitter.com/7Javier6/status/1199303016559587328,False,,0,,,,,,,"[{'user_id': '359015182', 'username': '7Javier6'}, {'user_id': '85232878', 'username': 'ddiazescandon'}]",
1199300589823447040,1199300589823447040,1574770517000,2019-11-26,07:15:17,EST,17448121,cadcorp,Cadcorp,,"#30DayMapChallenge Day 26 - Hydrology: Our #GIS aficionado @ian_usher1985 using #CadcorpSIS and @OrdnanceSurvey
#OpenRivers data, shares GB rivers by length. Shortest are blue, longest are red. pic.twitter.com/iKilXBK2fR","['ian_usher1985', 'ordnancesurvey']",[],['https://pbs.twimg.com/media/EKTFh-iXYAsWEjP.jpg'],0,1,7,"['#30daymapchallenge', '#gis', '#cadcorpsis', '#openrivers']",[],https://twitter.com/cadcorp/status/1199300589823447040,False,,0,,,,,,,"[{'user_id': '17448121', 'username': 'cadcorp'}, {'user_id': '92832101', 'username': 'ian_usher1985'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}]",
1199300582206513152,1199300582206513152,1574770515000,2019-11-26,07:15:15,EST,359015182,7javier6,Javier,,"#30DayMapChallenge day 24, Mujeres desaparecidas en Colombia según el observatorio de violencia de medicina legal desde 2016 hasta abril de 2019 #NoViolenciaAlaMujer @ddiazescandon pic.twitter.com/lLRwhdFdRz",['ddiazescandon'],[],['https://pbs.twimg.com/media/EKTFg6HWkAI1Tcs.jpg'],0,0,0,"['#30daymapchallenge', '#noviolenciaalamujer']",[],https://twitter.com/7Javier6/status/1199300582206513152,False,,0,,,,,,,"[{'user_id': '359015182', 'username': '7Javier6'}, {'user_id': '85232878', 'username': 'ddiazescandon'}]",
1199300192132055040,1199217975951265792,1574770422000,2019-11-26,07:13:42,EST,153144751,chalaoliverio,Joaquin Oliverio,"Little Rock, AR","TWI using the #SAGA tool. DEM created using TIN interpolation from shp. file and then smoothing the raster using Gaussian filter by #SAGA #30DayMapChallenge, Day 26: #Hydrology pic.twitter.com/nXNC0eSePH","['hansakwast', 'lutraconsulting']",[],"['https://pbs.twimg.com/media/EKTFKjJWwAEU_gO.jpg', 'https://pbs.twimg.com/media/EKTFKjJW4AEwWHV.jpg']",1,1,5,"['#saga', '#saga', '#30daymapchallenge', '#hydrology']",[],https://twitter.com/chalaoliverio/status/1199300192132055040,False,,0,,,,,,,"[{'user_id': '153144751', 'username': 'chalaoliverio'}, {'user_id': '760094405369946112', 'username': 'hansakwast'}, {'user_id': '453028244', 'username': 'lutraconsulting'}]",
1199296188136210433,1199296188136210433,1574769467000,2019-11-26,06:57:47,EST,5685812,hrbrmstr,boB Rudis,,"Letting my state flow on its own for today's #30DayMapChallenge ""Hydrology""

#rstats {tigris} {sf} {ggplot2}

Code:  http://git.rud.is/hrbrmstr/y2019-30daymapchallenge … + all the social coding sites pic.twitter.com/e0t6CRGGTJ",[],['http://git.rud.is/hrbrmstr/y2019-30daymapchallenge'],['https://pbs.twimg.com/media/EKTBhZyXUAMELE4.jpg'],2,4,9,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1199296188136210433,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1199291275712827392,1199291275712827392,1574768296000,2019-11-26,06:38:16,EST,13215962,jerry_shannon,Jerry Shannon,,"I lived in Minnesota for 12 years and have lots of good memories of Lake Superior's north shore. For day 26 of the #30DayMapChallenge (hydrology), here's a map of the lake with the terrain inverted (depth turned to height). Map in @qgis. pic.twitter.com/un9L2IurAk",['qgis'],[],['https://pbs.twimg.com/media/EKS9DDyXkAED5hg.jpg'],0,0,8,['#30daymapchallenge'],[],https://twitter.com/jerry_shannon/status/1199291275712827392,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}, {'user_id': '271327412', 'username': 'qgis'}]",
1199289246814736384,1199289246814736384,1574767812000,2019-11-26,06:30:12,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day 26: Hydrology

Underground constructed water road, hydroelectric development in the french Alps pic.twitter.com/GYkOcGs911",[],[],['https://pbs.twimg.com/media/EKS7NKLXYAAxgPR.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1199289246814736384,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}]",
1199286979277529088,1199279669859815425,1574767272000,2019-11-26,06:21:12,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Kontich, België",Apparently I mixed up the themes for the #30DayMapChallenge. I'll share an #hydrology map tomorrow.,[],[],[],0,0,0,"['#30daymapchallenge', '#hydrology']",[],https://twitter.com/michelstuyts/status/1199286979277529088,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}]",
1199282854888427521,1199282854888427521,1574766288000,2019-11-26,06:04:48,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge Día 26 – Hydrology:

#Mapa con la delineación de los Canales y ríos para juntar el de #Amberes con el mar de parte de #Flandes. Año 1630. #Bélgica #Holanda #PaisesBajos #Historia #Hidrología Archivo de #Simancas y #Googlemaps pic.twitter.com/DcyrTMWYD2",[],[],"['https://pbs.twimg.com/media/EKS1YB9WkAEwHQX.jpg', 'https://pbs.twimg.com/media/EKS1YB9WsAAUeuz.jpg']",0,0,1,"['#30daymapchallenge', '#mapa', '#amberes', '#flandes', '#bélgica', '#holanda', '#paisesbajos', '#historia', '#hidrología', '#simancas', '#googlemaps']",[],https://twitter.com/BurriezaMateos/status/1199282854888427521,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1199279669859815425,1199279669859815425,1574765529000,2019-11-26,05:52:09,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Kontich, België",#30DayMapChallenge day 26: sometimes @googlemaps is so wrong. Comparing map #resources. #toomanybuildings pic.twitter.com/DwJWDzPT1d,['googlemaps'],[],['https://pbs.twimg.com/media/EKSyf9EWkAATKOi.jpg'],2,0,2,"['#30daymapchallenge', '#resources', '#toomanybuildings']",[],https://twitter.com/michelstuyts/status/1199279669859815425,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '31311757', 'username': 'googlemaps'}]",
1199278674513666048,1199278674513666048,1574765292000,2019-11-26,05:48:12,EST,22146490,joriseekhout,Joris Eekhout,,"Day 26 (hydrology): I made a map interpretation of the water balance equation (R = P - ET - ΔS). As you can see, most water is evaporated in water scare regions, such as here the southeast of Spain #30DayMapChallenge pic.twitter.com/KDBFlFlvyG",[],[],['https://pbs.twimg.com/media/EKSxl3OWsAEJxat.jpg'],1,0,10,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1199278674513666048,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1199276359304040448,1199276359304040448,1574764740000,2019-11-26,05:39:00,EST,1454843694,onestopmap,One Stop Map,,We’ve seen many gorgeous LIDAR maps of rivers (e.g. by @geo_coe and @Carto_ALex) so with the #30DayMapChallenge theme being Hydrology we wanted to do something similar. Not a river but the tidal wetlands of the “Verdronken Land van Saeftinge” #lovemaps #cartography pic.twitter.com/3TuQAGmh3O,"['geo_coe', 'carto_alex']",[],['https://pbs.twimg.com/media/EJ-ExtzXUAEGF6I.jpg'],0,2,14,"['#30daymapchallenge', '#lovemaps', '#cartography']",[],https://twitter.com/onestopmap/status/1199276359304040448,False,,0,,,,,,,"[{'user_id': '1454843694', 'username': 'onestopmap'}, {'user_id': '869709367737634816', 'username': 'geo_coe'}, {'user_id': '1052923018564038660', 'username': 'Carto_ALex'}]",
1199274202735480834,1199274202735480834,1574764226000,2019-11-26,05:30:26,EST,140068360,geomniuk,GeomniUK,,"Day 26 of the #30DayMapChallenge - Hydrology

The Shape of (London's) Water

This map shows 'Surface Water' across Greater London. It was created using data extracted from UKMap. Surface water includes rivers, canals, lakes, ponds and swimming pools. pic.twitter.com/kQIZtXGYDv",[],[],['https://pbs.twimg.com/media/EKSth4MWoAMLyuz.jpg'],0,5,9,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1199274202735480834,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1199271232287518721,1199271232287518721,1574763517000,2019-11-26,05:18:37,EST,1053264370573172736,livia_jakob,Livia Jakob,,"#30DayMapChallenge Day 26: Hydrology

Does frozen water count?😅
Glaciers around Mount Everest in blue.

Data: Randolph Glacier Inventory (RGI 6.0) and TanDEM-X.  #glaciers #dem #mapping #QGIS #blendmodes pic.twitter.com/DtM1AVqduy",[],[],['https://pbs.twimg.com/media/EKSq0xwXsAAAGEV.jpg'],0,2,19,"['#30daymapchallenge', '#glaciers', '#dem', '#mapping', '#qgis', '#blendmodes']",[],https://twitter.com/livia_jakob/status/1199271232287518721,False,,0,,,,,,,"[{'user_id': '1053264370573172736', 'username': 'livia_jakob'}]",
1199267607595114496,1199267607595114496,1574762653000,2019-11-26,05:04:13,EST,1499547780,heikkivesanto,Heikki Vesanto,,"Glasgow has some of the best tap water in the world. Piped in directly from the Highlands, from Loch Katrine, along a 40km aqueduct. #30DayMapChallenge #Day26 #Hydrology pic.twitter.com/ghbNDJM1QR",[],[],['https://pbs.twimg.com/media/EKSnhGhXUAEBaRs.jpg'],2,14,39,"['#30daymapchallenge', '#day26', '#hydrology']",[],https://twitter.com/HeikkiVesanto/status/1199267607595114496,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1199267373716512768,1199267373716512768,1574762597000,2019-11-26,05:03:17,EST,43953969,jwolondon,Jo Wood,,"Day 25: Hydrology

More experiments in nudging @vega_vis Vega-Lite away from standard choropleth mapping. Here accumulated flow lines (vectors in steepest downhill direction) show potential for stream formation.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d26Hydrology.md …
#30DayMapChallenge pic.twitter.com/WJTZQ33xqp",['vega_vis'],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d26Hydrology.md'],['https://pbs.twimg.com/media/EKSnUC8XkAAvZQF.jpg'],2,5,28,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1199267373716512768,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}, {'user_id': '919294347857690625', 'username': 'vega_vis'}]",
1199256431947636737,1199256431947636737,1574759989000,2019-11-26,04:19:49,EST,3092381638,cedscherer,Cédric Scherer,,"#30DayMapChallenge Day 25: Climate
VIsualization of Köppen-Geiger climate classification based on updated zones provided by Kottek et al. in 2006. Decided to show not all 32 subcategories, 14 already made it though to find colours.
🗞️  http://koeppen-geiger.vu-wien.ac.at/present.htm  pic.twitter.com/xRN8MQTrNM",[],['http://koeppen-geiger.vu-wien.ac.at/present.htm'],['https://pbs.twimg.com/media/EKSdXZeWkAEuv7k.jpg'],0,1,16,['#30daymapchallenge'],[],https://twitter.com/CedScherer/status/1199256431947636737,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}]",
1199255220150124545,1199255220150124545,1574759700000,2019-11-26,04:15:00,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"The real #30DayMapChallenge map I wanted to make is this - solidarity from Dublin to those out on #UCUstrikes all over the place, you're not alone and I hope the map highlights strikes as collective response to neoliberal, individualising and immiserating university structures ✊ pic.twitter.com/BTq1QtOshm",[],[],['https://pbs.twimg.com/media/EKQYozYWsAMSJ8X.jpg'],1,4,17,"['#30daymapchallenge', '#ucustrikes']",[],https://twitter.com/niclochg/status/1199255220150124545,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1199251446945869825,1199251446945869825,1574758800000,2019-11-26,04:00:00,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge Day 26 is hydrology - here's a map of EPA bathing locations and 2019 water quality data. Rule of thumb is, if the logo is darker, dip or sip with caution... pic.twitter.com/YE7JGXeVG3",[],[],['https://pbs.twimg.com/media/EKQYPLCXsAI6wPM.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1199251446945869825,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1199248150634074112,1199248150634074112,1574758014000,2019-11-26,03:46:54,EST,153718180,craigtaylorgis,Craig Taylor,,"#30DayMapChallenge Day 26: Hydrology 💧

All the rivers of #Wales interpolated by their exaggerated terrain height.

Such a challenge to get these gifs under 15mb, this looked a lot better as a video.

Data via:  https://www.ordnancesurvey.co.uk/business-government/products/open-map-rivers …
#maps #3d #animation pic.twitter.com/UxflGS4i04",[],['https://www.ordnancesurvey.co.uk/business-government/products/open-map-rivers'],[],2,5,65,"['#30daymapchallenge', '#wales', '#maps', '#3d', '#animation']",[],https://twitter.com/CraigTaylorGIS/status/1199248150634074112,False,,1,,,,,,,"[{'user_id': '153718180', 'username': 'CraigTaylorGIS'}]",
1199242961260818432,1199242961260818432,1574756777000,2019-11-26,03:26:17,EST,453028244,lutraconsulting,Lutra Consulting,,"#30DayMapChallenge Day 26: #hydrology:
If Mosul dam breaches. More info here:  https://www.lutraconsulting.co.uk/blog/2016/03/06/visualising-dam-breach-in-qgis/ … pic.twitter.com/HYrnt169Xh",[],['https://www.lutraconsulting.co.uk/blog/2016/03/06/visualising-dam-breach-in-qgis/'],[],0,7,21,"['#30daymapchallenge', '#hydrology']",[],https://twitter.com/lutraconsulting/status/1199242961260818432,False,,1,,,,,,,"[{'user_id': '453028244', 'username': 'lutraconsulting'}]",
1199234364086853632,1199234364086853632,1574754727000,2019-11-26,02:52:07,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",DAY26 #hydrology #30DayMapChallenge pic.twitter.com/P6Fuz0DzDi,[],[],['https://pbs.twimg.com/media/EKSJSgUWoAAD2TV.jpg'],0,0,1,"['#hydrology', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1199234364086853632,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1199228894248763393,1199228894248763393,1574753423000,2019-11-26,02:30:23,EST,105407287,saint_gis,SRG,,#30DayMapChallenge @tjukanov  day 24-statistics #dallol #Ethiopia #geothermal fields #Statistics most uninhabitable place on #Earth @googleearth visualization pic.twitter.com/V7Cmn3xq3z,"['tjukanov', 'googleearth']",[],['https://pbs.twimg.com/media/EKSEUM9VAAA-dKH.jpg'],0,0,0,"['#30daymapchallenge', '#dallol', '#ethiopia', '#geothermal', '#statistics', '#earth']",[],https://twitter.com/Saint_GIS/status/1199228894248763393,False,,0,,,,,,,"[{'user_id': '105407287', 'username': 'Saint_GIS'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '31285982', 'username': 'googleearth'}]",
1199228402177200132,1199228402177200132,1574753306000,2019-11-26,02:28:26,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,World bathymetry data from Natural Earth for #30DayMapChallenge pic.twitter.com/4HjEhagygJ,[],[],['https://pbs.twimg.com/media/EKSD3uNU4AEd6jB.png'],1,0,4,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1199228402177200132,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}]",
1199225272832286724,1199225272832286724,1574752560000,2019-11-26,02:16:00,EST,138083232,swiss_geoportal,geo.admin.ch,,"[EN] River Typology for #Switzerland groups the diversity of Swiss rivers according to abiotic, physiographic criteria, not considering anthropogenic impacts.  https://s.geo.admin.ch/85b05ef3ed  by @foenCH #30DayMapChallenge #hydrology @EawagResearch pic.twitter.com/JqzJC9L7ii","['foench', 'eawagresearch']",['https://s.geo.admin.ch/85b05ef3ed'],['https://pbs.twimg.com/media/EJweLUZXUAAGVrJ.png'],0,0,5,"['#switzerland', '#30daymapchallenge', '#hydrology']",[],https://twitter.com/swiss_geoportal/status/1199225272832286724,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '962614364', 'username': 'foenCH'}, {'user_id': '2164349059', 'username': 'EawagResearch'}]",
1199225107111202816,1199225107111202816,1574752520000,2019-11-26,02:15:20,EST,2689904899,mwigley2,Mark Wigley,,"#30DayMapChallenge Day 26: Hydrology. The Swiss River network coloured according to the language of the national river name. Red = French, Gold = German, Green = Italien and last but not least Blue = Romansh. pic.twitter.com/larqCvPdpx",[],[],['https://pbs.twimg.com/media/EKSA4GEXsAEbUya.jpg'],2,31,117,['#30daymapchallenge'],[],https://twitter.com/mwigley2/status/1199225107111202816,False,,0,,,,,,,"[{'user_id': '2689904899', 'username': 'mwigley2'}]",
1199224754130976768,1199224754130976768,1574752436000,2019-11-26,02:13:56,EST,93839237,andrewdc_nz,Andrew DC,,"Day 26 #30DayMapChallenge (Hydrology) - Avon River, Christchurch Network Map with bridge crossings.
This one I did a few years ago but never got around to releasing properly. pic.twitter.com/T8E6U78Lz4",[],[],['https://pbs.twimg.com/media/EKSAjSDU0AA8IQE.jpg'],2,14,70,['#30daymapchallenge'],[],https://twitter.com/andrewdc_nz/status/1199224754130976768,False,,0,,,,,,,"[{'user_id': '93839237', 'username': 'andrewdc_nz'}]",
1199217975951265792,1199217975951265792,1574750820000,2019-11-26,01:47:00,EST,760094405369946112,hansakwast,Hans van der Kwast,,#30DayMapChallenge Day 26: #hydrology. Flow direction map created using #QGIS 3.10. #Crayfish plugin by @lutraconsulting used to visualise the #SAGA flow direction output with arrows. #opendata: #SRTM 1 Arc Second DEM blended with hillshade. Streams derived using #Strahler order. pic.twitter.com/NIcVVBL5h2,['lutraconsulting'],[],['https://pbs.twimg.com/media/EKR6YlpWsAEa48w.jpg'],2,15,59,"['#30daymapchallenge', '#hydrology', '#qgis', '#crayfish', '#saga', '#opendata', '#srtm', '#strahler']",[],https://twitter.com/hansakwast/status/1199217975951265792,False,,0,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}, {'user_id': '453028244', 'username': 'lutraconsulting'}]",
1199213954783989762,1199213954783989762,1574749861000,2019-11-26,01:31:01,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge
Día 26. Hidrología (Hydrology).

Distribución de la precipitación Anual en la #CDMX, donde se observa que, típicamente, la temporada de lluvias va de mayo a inicios de octubre.

#RStats con datos del Atlas de Riego de la CDMX. pic.twitter.com/oxGsnfxlQ1",[],[],['https://pbs.twimg.com/media/EKR2usPXYAISJbY.png'],4,8,31,"['#30daymapchallenge', '#cdmx', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1199213954783989762,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}]",
1199210239150542850,1199210239150542850,1574748975000,2019-11-26,01:16:15,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 26 of #30DayMapChallenge – Hydrology:

Tongariro Hydro Power Scheme pic.twitter.com/IzuJZOClAc",[],[],['https://pbs.twimg.com/media/EKRzWZOUcAEeIUv.jpg'],2,1,21,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1199210239150542850,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1199209932349939712,1199209932349939712,1574748902000,2019-11-26,01:15:02,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 26. Hydrology

Topographic Wetness Index

Vinsobres plateau (France)

Made with #QGIS pic.twitter.com/OBuCstApIs",[],[],['https://pbs.twimg.com/media/EKRzCKOXUAE8nYG.jpg'],1,0,21,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1199209932349939712,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1199208145509179393,1199208145509179393,1574748476000,2019-11-26,01:07:56,EST,165669854,williamscraigm,Craig Williams,,"#30DayMapChallenge Day 25: Climate. Probability of a White Christmas in the Continental US...in felt. A generalized remake of the original NOAA map with felt symbols. Original map here:  https://noaa.maps.arcgis.com/apps/Embed/index.html?webmap=99db916356584e4289e85d64d1ae3fa0&extent=-152.182,10.8189,-39.3495,57.8283&zoom=true&home=true&scale=true&disable_scroll=true&theme=light&level=1 … pic.twitter.com/Ym2WvMbCtv",[],"['https://noaa.maps.arcgis.com/apps/Embed/index.html?webmap=99db916356584e4289e85d64d1ae3fa0&extent=-152.182,10.8189,-39.3495,57.8283&zoom=true&home=true&scale=true&disable_scroll=true&theme=light&level=1']",['https://pbs.twimg.com/media/EKRxcTwUYAA-KlD.jpg'],1,1,13,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1199208145509179393,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1199208053943332864,1199208053943332864,1574748454000,2019-11-26,01:07:34,EST,3346807874,emmavitz,Emma Vitz,,"Day 26 of the #30DayMapChallenge with the theme Hydrology! I mapped pipes in Auckland by the pipe diameter. 🚿🚰
This map was made in QGIS rather than R (my usual) and I've also never used this data source before. pic.twitter.com/O3uOFlUfls",[],[],['https://pbs.twimg.com/media/EKRxWMLUUAAYX12.jpg'],3,4,66,['#30daymapchallenge'],[],https://twitter.com/EmmaVitz/status/1199208053943332864,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1199206705885786113,1199206705885786113,1574748133000,2019-11-26,01:02:13,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Hydrology. Not sure if beavers move rivers, humans sometimes do. Like in Koskenkylä, PERNAJA (💪), Finland. I remember this being mentioned in one of my old geography textbooks. Data: @Maanmittaus #30DayMapChallenge #pernaja #koskenkylä #forsby pic.twitter.com/jZ41K1cQqV",['maanmittaus'],[],['https://pbs.twimg.com/media/EKRwI0NW4AEqPZ5.jpg'],0,1,9,"['#30daymapchallenge', '#pernaja', '#koskenkylä', '#forsby']",[],https://twitter.com/AlsuhailFaris/status/1199206705885786113,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}]",
1199198702566404096,1199198702566404096,1574746225000,2019-11-26,00:30:25,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 26 of #30DayMapChallenge: hydrology

Rivers of Horomaka, New Zealand #Rstats.

Code:  https://gist.github.com/zentree/70dc42f956c55a4684aca7bcdd0dd949 … pic.twitter.com/snvJARC2DP",[],['https://gist.github.com/zentree/70dc42f956c55a4684aca7bcdd0dd949'],['https://pbs.twimg.com/media/EKRo2YJU0AAen41.jpg'],1,1,9,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/zentree/status/1199198702566404096,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}]",
1199195152411176960,1199195152411176960,1574745378000,2019-11-26,00:16:18,EST,2239825712,iiegj,IIEG Jalisco,,"#30DayMapChallenge Día 25. Clima. Según la SEMARNAT los incendios forestales son una fuente importante de emisión de carbono, aquí encontrarás información sobre ellos durante los últimos años en el estado de Jalisco  http://siga.jalisco.gob.mx/webincendios/  pic.twitter.com/nN8dV4uSiz",[],['http://siga.jalisco.gob.mx/webincendios/'],['https://pbs.twimg.com/media/EKRln3AWwAEpEr3.jpg'],0,8,10,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1199195152411176960,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1199186037093928960,1199186037093928960,1574743205000,2019-11-25,23:40:05,EST,827579161472561156,teaminteractca,INTERACT,,"Day 25 of #30DayMapChallenge - Climate: Montreal’s Green alleyways. The map shows progression of #ruellesvertes in @LePMR and @Arr_RosemontPP boroughs. Open data from Regroupement des éco-quartiers, cleaned and mapped by INTERACT's Zoé Poirier Stephens. pic.twitter.com/zdYIc5rL7p","['lepmr', 'arr_rosemontpp']",[],[],1,1,3,"['#30daymapchallenge', '#ruellesvertes']",[],https://twitter.com/TeamInteractCA/status/1199186037093928960,False,,1,,,,,,,"[{'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '478703405', 'username': 'LePMR'}, {'user_id': '2188781000', 'username': 'Arr_RosemontPP'}]",
1199170168913616896,1199170168913616896,1574739422000,2019-11-25,22:37:02,EST,162456486,osornomarcela,Marcela Dolores Guerra Osorno,,"De acuerdos con cifras del #SESNSP, con corte al 30 de octubre de 2019, #Veracruz registró una tasa de 3.37 presuntos #feminicidios por cada 100 mil mujeres.
Los municipios en rojo registran una tasa municipal mayor a la media estatal.
#25N
#30DayMapChallenge pic.twitter.com/45UwGNmglu",[],[],['https://pbs.twimg.com/media/EKRO6HYWkAMDjYK.jpg'],2,12,12,"['#sesnsp', '#veracruz', '#feminicidios', '#25n', '#30daymapchallenge']",[],https://twitter.com/osornomarcela/status/1199170168913616896,False,,0,,,,,,,"[{'user_id': '162456486', 'username': 'osornomarcela'}]",
1199144968448724992,1199144968448724992,1574733414000,2019-11-25,20:56:54,EST,886193556,allisoncully,Allison Cully,,"Day 22: Built environment
One of the most fascinating built enviroments in the world to me is Venice.  And I had no idea there was so much data! Expect to more of this place from me down the road! #30DayMapChallenge pic.twitter.com/QNN1UUiJby",[],[],['https://pbs.twimg.com/media/EKQ3-ewU4AA72q5.jpg'],0,1,22,['#30daymapchallenge'],[],https://twitter.com/AllisonCully/status/1199144968448724992,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1199140967401578496,1199140967401578496,1574732460000,2019-11-25,20:41:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/962880158356078593 …",[],['https://twitter.com/LASACONGRESS/status/962880158356078593'],[],0,2,1,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199140967401578496,False,https://twitter.com/LASACONGRESS/status/962880158356078593,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199136170304606209,1199136170304606209,1574731316000,2019-11-25,20:21:56,EST,1067216664444338176,gerard_mauro,Gerardo Najera,,"#30DayMapChallenge

Dia 24 : Estadísticas

Mapa con la tasa de prevalencia delictiva por entidad federativa de acuerdo a la ENVIPE 2019. La más alta es CDMX con 42.6 mientras que las más baja es Veracruz con 16.

 #rstatsES #datosdemiercoles #rstats pic.twitter.com/jS6FUpx5Qr",[],[],['https://pbs.twimg.com/media/EKQv_T8UwAAUit3.jpg'],1,4,8,"['#30daymapchallenge', '#rstatses', '#datosdemiercoles', '#rstats']",[],https://twitter.com/Gerard_Mauro/status/1199136170304606209,False,,0,,,,,,,"[{'user_id': '1067216664444338176', 'username': 'Gerard_Mauro'}]",
1199126647452123136,1199126647452123136,1574729046000,2019-11-25,19:44:06,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 23 - Population: Just population points of Syracuse, Rochester, and the Finger Lakes!

(I'm losing steam😫...must...finish...the month...) pic.twitter.com/alb9Xzs1r6",[],[],['https://pbs.twimg.com/media/EKQnEAQXkAE7j06.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1199126647452123136,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1199126006608601088,1199126006608601088,1574728893000,2019-11-25,19:41:33,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 23. Population
The cartogram of Ghana's 🇬🇭#population density (2015). This one was difficult😕. I haven't found a single R solution, and for the first time did part of the work with another software (scapetoad)

#maps #rstats #ggplot #ghana #cartogram #accra pic.twitter.com/zMuZsVRJKe",[],[],['https://pbs.twimg.com/media/EKQmvjjXYAUbw7A.jpg'],0,2,7,"['#30daymapchallenge', '#population', '#maps', '#rstats', '#ggplot', '#ghana', '#cartogram', '#accra']",[],https://twitter.com/bettermeasured/status/1199126006608601088,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}]",
1199118855064285184,1197758055804325889,1574727188000,2019-11-25,19:13:08,EST,841465160187428866,fritzgis,Diane Fritz ❄️🚲🐕,,This one is certainly in the running for our #30daymapchallenge review that we'll be doing with @MaptimeMileHigh ...,"['xycarto', 'cchurchili', 'linzlds', 'qgis', 'osgeo', 'maptimemilehigh']",[],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/fritzGIS/status/1199118855064285184,False,,0,,,,,,,"[{'user_id': '841465160187428866', 'username': 'fritzGIS'}, {'user_id': '1191269702904844291', 'username': 'XyCarto'}, {'user_id': '822048926081712128', 'username': 'Cchurchili'}, {'user_id': '316232211', 'username': 'LINZLDS'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '18048862', 'username': 'OSGeo'}, {'user_id': '2564272681', 'username': 'MaptimeMileHigh'}]",
1199118567767265282,1199118567767265282,1574727119000,2019-11-25,19:11:59,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Dia 25. Climas (Climate).

Clima (Clasificación Köppen) para los municipios de la Zona Metropolitana de la #CDMX .

#RStats con datos de Climatología de @INEGI_INFORMA pic.twitter.com/OM0NbWgcjq",['inegi_informa'],[],['https://pbs.twimg.com/media/EKQf-i6X0AASwoI.png'],0,3,12,"['#30daymapchallenge', '#cdmx', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1199118567767265282,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}]",
1199115549957070855,1199115549957070855,1574726400000,2019-11-25,19:00:00,EST,878633130,unicach_iigercc,IIGERCC,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …",[],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/unicach_iigercc/status/1199115549957070855,False,,0,,,,,,,"[{'user_id': '878633130', 'username': 'unicach_iigercc'}]",
1199115446680784897,1191005941547896838,1574726375000,2019-11-25,18:59:35,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge (day 25 / map 25): #Maya archaeological sites presented in Charles Wright et al. (1959)'s ""Land in British Honduras"" (the former colonial period name for #Belize). pic.twitter.com/dEcSKo0sE7","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity', 'mcsalajan']",[],['https://pbs.twimg.com/media/EKQdJAFXUAEs3o0.png'],1,1,0,"['#30daymapchallenge', '#maya', '#belize']",[],https://twitter.com/BZgeo/status/1199115446680784897,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}, {'user_id': '1118190446566694912', 'username': 'mcsalajan'}]",
1199113899641069574,1199113899641069574,1574726006000,2019-11-25,18:53:26,EST,625297031,scottreinhard,Scott Reinhard,,Inspired by the #30DayMapChallenge and everyone finding time to make fun maps. Here's a little map of South Brooklyn that I made today derived of only vector data. pic.twitter.com/5qJNfpymk5,[],[],['https://pbs.twimg.com/media/EKQbtq3X0AAE69Z.jpg'],3,2,22,['#30daymapchallenge'],[],https://twitter.com/scottreinhard/status/1199113899641069574,False,,0,,,,,,,"[{'user_id': '625297031', 'username': 'scottreinhard'}]",
1199106238501441536,1199106238501441536,1574724180000,2019-11-25,18:23:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"#30DayMapChallenge
#LASMaps https://twitter.com/LASACONGRESS/status/1182684531796697091 …",[],['https://twitter.com/LASACONGRESS/status/1182684531796697091'],[],0,4,7,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1199106238501441536,False,https://twitter.com/LASACONGRESS/status/1182684531796697091,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1199103650490138624,1199103650490138624,1574723563000,2019-11-25,18:12:43,EST,309734801,samwise_v,Sam J,,#30DayMapChallenge Day 25: Climate. Didn't have much of an idea where to go on this one and then something literally hit me in the face on the way home from work. So i managed to put at least something together albeit in a bit of a rush. pic.twitter.com/Bn5R71XvhU,[],[],[],1,1,8,['#30daymapchallenge'],[],https://twitter.com/samwise_v/status/1199103650490138624,False,,1,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1199101314443202560,1190339839729848320,1574723006000,2019-11-25,18:03:26,EST,2749312112,garciaart3,DoctorJ,,A slightly nicer version of what is actually #Day20 of #30DayMapChallenge  (I got mixed up 🙈) pic.twitter.com/GCB0dsqz2l,"['col_en_datos', 'qgis', 'citibikenyc', 'votobici', 'policiacolombia', 'dadepbogota', 'blancaduranh', 'u2', 'wmvallejo', 'uncolombia', 'simun_unal', 'foursquare', 'redcompleja']",[],['https://pbs.twimg.com/media/EKQQSVHXsAEIjPL.jpg'],1,0,0,"['#day20', '#30daymapchallenge']",[],https://twitter.com/garciaart3/status/1199101314443202560,False,,0,,,,,,,"[{'user_id': '2749312112', 'username': 'garciaart3'}, {'user_id': '996840260683423744', 'username': 'col_en_datos'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '366631688', 'username': 'CitiBikeNYC'}, {'user_id': '722439507845509120', 'username': 'VotoBici'}, {'user_id': '69432342', 'username': 'PoliciaColombia'}, {'user_id': '1197754334', 'username': 'DadepBogota'}, {'user_id': '61916854', 'username': 'blancaduranh'}, {'user_id': '18847632', 'username': 'U2'}, {'user_id': '231899420', 'username': 'WMVallejo'}, {'user_id': '2731985244', 'username': 'UNColombia'}, {'user_id': '722204623709302784', 'username': 'simun_unal'}, {'user_id': '804341497441255424', 'username': 'Foursquare'}, {'user_id': '1133818056956887044', 'username': 'redcompleja'}]",
1199094398413410304,1199094398413410304,1574721357000,2019-11-25,17:35:57,EST,14992557,gontsa,gontsa,,"Isoterm of average temperature in Ukraine.
#30DayMapChallenge Day 25: Climate
Data: WorldClim Version2, #qgis, #saga pic.twitter.com/VfuTsO9RI4",[],[],['https://pbs.twimg.com/media/EKQJ_LzW4AMgSib.jpg'],1,2,18,"['#30daymapchallenge', '#qgis', '#saga']",[],https://twitter.com/gontsa/status/1199094398413410304,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1199090934014709760,1199090934014709760,1574720531000,2019-11-25,17:22:11,EST,800277926348324864,arnold_platon,Arnold Platon,,"Day 24 of the #30DayMapChallenge
Statistics 📊 - ""Geographic center points ✴️ of the European Vote 🇪🇺""

I calculated the weighted mean point of:

🗳️ All valid votes
💼 Each political group in the @Europarl_EN
👻 All votes that aren't represented in Parliament pic.twitter.com/ai5ZkZQ0wr",['europarl_en'],[],['https://pbs.twimg.com/media/EKQGmgWWoAIwkqv.jpg'],0,8,35,['#30daymapchallenge'],[],https://twitter.com/Arnold_Platon/status/1199090934014709760,False,,0,,,,,,,"[{'user_id': '800277926348324864', 'username': 'Arnold_Platon'}, {'user_id': '36329597', 'username': 'Europarl_EN'}]",
1199084679837696000,1190981899684139008,1574719040000,2019-11-25,16:57:20,EST,836653702182207492,elio_javi,Javier Elío,,"Day 25: Climate. Monthly average air temperature. Data from @ECMWF @CopernicusEU

Code:  https://github.com/javiereliomedina/R_Maps.git …
#30DayMapChallenge #rstats pic.twitter.com/wBFPt3l78H","['ecmwf', 'copernicuseu']",['https://github.com/javiereliomedina/R_Maps.git'],[],1,5,6,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/Elio_Javi/status/1199084679837696000,False,,1,,,,,,,"[{'user_id': '836653702182207492', 'username': 'Elio_Javi'}, {'user_id': '370094706', 'username': 'ECMWF'}, {'user_id': '978604706', 'username': 'CopernicusEU'}]",
1199082900211294208,1199082900211294208,1574718615000,2019-11-25,16:50:15,EST,3195365733,junevgt,Justine Vignat,,"Parce que #climat et #fontedesglaces vont de pair. Je vous propose de revenir sur la carte  ""Ainsi fond fond fond"" qui achève mes deux de #curation. sur la thématique du #réchauffement #climatique #30DayMapChallenge #lagéoçasedessine https://twitter.com/Junevgt/status/1084015339892035584 …",[],['https://twitter.com/Junevgt/status/1084015339892035584'],[],0,0,19,"['#climat', '#fontedesglaces', '#curation', '#réchauffement', '#climatique', '#30daymapchallenge', '#lagéoçasedessine']",[],https://twitter.com/Junevgt/status/1199082900211294208,False,https://twitter.com/Junevgt/status/1084015339892035584,0,,,,,,,"[{'user_id': '3195365733', 'username': 'Junevgt'}]",
1199082190656679936,1199082190656679936,1574718446000,2019-11-25,16:47:26,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day 25: Climate
Temperature spatial distribution, Singapore case pic.twitter.com/jSoBME9Bku",[],[],['https://pbs.twimg.com/media/EKP-5MJWoAQzHHV.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1199082190656679936,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}]",
1199080598666502145,1199080598666502145,1574718067000,2019-11-25,16:41:07,EST,822048926081712128,cchurchili,Carl Churchill,,"#30DayMapChallenge Water stress measures if avaliable water can meet local needs. I Used data from the World Resources Institute (Aqueduct) to map water stress projections in the future.

Climate change + population growth are together pushing many Asian watersheds to the edge. pic.twitter.com/11F8gxHLO3",[],[],['https://pbs.twimg.com/media/EKP9bvaU4AEqRFv.jpg'],1,1,17,['#30daymapchallenge'],[],https://twitter.com/Cchurchili/status/1199080598666502145,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1199079515638644740,1190253562267340800,1574717809000,2019-11-25,16:36:49,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 25 (climate): Population cartogram of CO2 emissions (per capita, 2018)  https://datawrapper.dwcdn.net/Q9WN0/1/  Made with @Datawrapper pic.twitter.com/DnyZ4HJAIK","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper', 'karim_douieb', 'datawrapper']",['https://datawrapper.dwcdn.net/Q9WN0/1/'],['https://pbs.twimg.com/media/EKP8dV5X0AAitPd.jpg'],3,2,19,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1199079515638644740,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}, {'user_id': '2600429268', 'username': 'karim_douieb'}, {'user_id': '500573974', 'username': 'Datawrapper'}]",
1199076534025433088,1199076534025433088,1574717098000,2019-11-25,16:24:58,EST,1466897384,mattijkokkonen,Matti Kokkonen,,"Day 24 of The #30DayMapChallenge; statistics. Toyota is the most popular car brand in 263 out of 295 mainland municipalities in Finland. ""Today. Tomorrow. Toyota"" #Toyota pic.twitter.com/yU8ue6Cwqx",[],[],['https://pbs.twimg.com/media/EKP5vvyXkAAkZNe.jpg'],0,2,5,"['#30daymapchallenge', '#toyota']",[],https://twitter.com/MattiJKokkonen/status/1199076534025433088,False,,0,,,,,,,"[{'user_id': '1466897384', 'username': 'MattiJKokkonen'}]",
1199074777044070400,1199074777044070400,1574716679000,2019-11-25,16:17:59,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge Day 25: Climate - Mangroves vs Hurricanes
Mangroves have the ability to lessen the impact of flooding caused by hurricanes (reducing storm surges by 26-76%) BUT they are in an annual decline globally. pic.twitter.com/zH2nsElrFS",[],[],['https://pbs.twimg.com/media/EKP4JdtWwAAuo3z.jpg'],1,1,9,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1199074777044070400,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}]",
1199070235648811009,1199070235648811009,1574715596000,2019-11-25,15:59:56,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 25: Climate
My home state of #Delaware (max elevation 448ft/137m) seen as the waters rise meter by meter 😪
Data from @USGS, map made in #QGIS 3.8, animated in GIMP pic.twitter.com/qk370UQYLu",['usgs'],[],[],0,0,8,"['#30daymapchallenge', '#delaware', '#qgis']",[],https://twitter.com/PhilPierdo/status/1199070235648811009,False,,1,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '14505838', 'username': 'USGS'}]",
1199068015653990406,1199068015653990406,1574715067000,2019-11-25,15:51:07,EST,2889619139,luyibov,liubov,,"Looks like the map of night sky this is map of all schools in Germany. 💥🕸️🧠
Made using #osmnx @openstreetmap #api with lecturers without borders @NetworkScied @ClaraZemp @gedankenstuecke @marc @GalinanesVero for
#30DayMapChallenge pic.twitter.com/n12wZiYPp7","['openstreetmap', 'networkscied', 'clarazemp', 'gedankenstuecke', 'marc', 'galinanesvero']",[],['https://pbs.twimg.com/media/EKPx_jkWwAAhMdF.png'],1,2,6,"['#osmnx', '#api', '#30daymapchallenge']",[],https://twitter.com/luyibov/status/1199068015653990406,False,,0,,,,,,,"[{'user_id': '2889619139', 'username': 'luyibov'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '1002967586869600257', 'username': 'NetworkScied'}, {'user_id': '1016427203339390978', 'username': 'ClaraZemp'}, {'user_id': '14286491', 'username': 'gedankenstuecke'}, {'user_id': '5307', 'username': 'marc'}, {'user_id': '1031857674969853953', 'username': 'GalinanesVero'}]",
1199063638205706241,1199063638205706241,1574714023000,2019-11-25,15:33:43,EST,47698876,evelynuuemaa,Evelyn,,"#30DayMapChallenge  25. Climate: tried to compare long term average (1960 - 1990) monthly maximum temperature and precipitation for July with the IPCC ""nightmare"" scenario (RPC 8.5) for 2070 - will be hotter and drier 🤨🌞🔥 Data from WorldClim. pic.twitter.com/HBq1RWpSZe",[],[],['https://pbs.twimg.com/media/EKPuAr8WwAE6FHA.jpg'],0,7,17,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1199063638205706241,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1199058480583389186,1199058480583389186,1574712793000,2019-11-25,15:13:13,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
Map_25 #Climate

Classificació de Agroclimàtica de Papadakis (Estiu/Hivern)
Index Climàtic Potencialitat Agrícola de Turc (Secà/Regadiu)

Mapes del 2008. #CatAgTw

El post @iagua
Evolución de la Latitud y Altitud del regadío en Europa
 https://www.iagua.es/blogs/ignasi-servia-goixart/evolucion-latitud-y-altitud-regadio-europa … pic.twitter.com/xSwctYOhme",['iagua'],['https://www.iagua.es/blogs/ignasi-servia-goixart/evolucion-latitud-y-altitud-regadio-europa'],"['https://pbs.twimg.com/media/EKPpU5AW4AMifJj.jpg', 'https://pbs.twimg.com/media/EKPpU5EW4AECr1R.jpg', 'https://pbs.twimg.com/media/EKPpU5CWwAAHdSZ.jpg', 'https://pbs.twimg.com/media/EKPpU5BXYAE108p.jpg']",0,3,5,"['#30daymapchallenge', '#climate', '#catagtw']",[],https://twitter.com/iservia/status/1199058480583389186,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}, {'user_id': '706808377393999873', 'username': 'IceaCat'}, {'user_id': '29369262', 'username': 'cfolch'}]",
1199056048872706048,1199056048872706048,1574712214000,2019-11-25,15:03:34,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 25: klimats. Nāk ziema, gribas ko siltu. Gada laikā Liepājā Saule spīdējusi par 16 diennaktīm ilgāk nekā Daugavpilī, bet Rīgā tomēr vissiltāk. pic.twitter.com/FiTLLTEwrf",[],[],['https://pbs.twimg.com/media/EKPnG_SXkAECdAu.png'],1,2,7,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1199056048872706048,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1199052007421685767,1199052007421685767,1574711250000,2019-11-25,14:47:30,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland",Checking out a style by @John_M_Nelson for today’s #30DayMapChallenge map of solar radiation across Ireland ☀️ pic.twitter.com/gXO0EKxTcR,['john_m_nelson'],[],['https://pbs.twimg.com/media/EKPjcKtWkAEeDHg.jpg'],0,1,9,['#30daymapchallenge'],[],https://twitter.com/blanky343/status/1199052007421685767,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}, {'user_id': '381150541', 'username': 'John_M_Nelson'}]",
1199051871228481537,1199051871228481537,1574711218000,2019-11-25,14:46:58,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 25 #Climate
❄️ Peligro por temperaturas mínimas en la CDMX
#QGIS pic.twitter.com/ynz6Pv57Rh",[],[],['https://pbs.twimg.com/media/EKPjUEbXkAAYSnr.jpg'],0,4,16,"['#30daymapchallenge', '#climate', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1199051871228481537,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1199051397381214208,1199051397381214208,1574711105000,2019-11-25,14:45:05,EST,732218664875753472,gis4teachers,GIS for Education,,"#30daymapchallenge day 25, 'Climate'. One of our most popular #climate themed #lessons uses #ArcGISOnline #Survey123 & #storymaps to collect data, analyze local climate contributors/reducers and present findings. Free support/setup by emailing k12@esri.ca  https://k12.esri.ca/resourcefinder/#/title=Exploring%20Climate%20Change%20in%20my%20Community/lang=en … pic.twitter.com/OXEn1HPpy3",[],['https://k12.esri.ca/resourcefinder/#/title=Exploring%20Climate%20Change%20in%20my%20Community/lang=en'],['https://pbs.twimg.com/media/EKPi5BRXkAIqxdn.png'],0,2,6,"['#30daymapchallenge', '#climate', '#lessons', '#arcgisonline', '#survey123', '#storymaps']",[],https://twitter.com/GIS4Teachers/status/1199051397381214208,False,,0,,,,,,,"[{'user_id': '732218664875753472', 'username': 'GIS4Teachers'}]",
1199048837119270912,1199048837119270912,1574710494000,2019-11-25,14:34:54,EST,14130929,ttso,Tuija Sonkkila,,#30DayMapChallenge Day 25: Climate. Roofs in our neighbourhood on Kulosaari #Helsinki suitable for solar panels (incl. our house)  http://tuijasonkkila.fi/Kulosaari_solar.html … Data by Eurosense via @HRInfoshare from the Decumanus project. Code:  https://github.com/tts/mapchallenge/blob/master/climate.R … #rstats #sf #leaflet #htmlwidgets pic.twitter.com/U4pooHxuJJ,['hrinfoshare'],"['http://tuijasonkkila.fi/Kulosaari_solar.html', 'https://github.com/tts/mapchallenge/blob/master/climate.R']",['https://pbs.twimg.com/media/EKPfYw7WkAECH_e.jpg'],0,1,6,"['#30daymapchallenge', '#helsinki', '#rstats', '#sf', '#leaflet', '#htmlwidgets']",[],https://twitter.com/ttso/status/1199048837119270912,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '304376130', 'username': 'HRInfoshare'}]",
1199048812913934336,1199048812913934336,1574710488000,2019-11-25,14:34:48,EST,982429849,pedro_com_es,Pedro Suárez,,"Para el día 25 del #30DayMapChallenge, clima, calentamiento global desde 1960.

Mapa del mundo de @EU_Eurostat y datos de @BerkeleyEarth. pic.twitter.com/ZrRYsWPWDn","['eu_eurostat', 'berkeleyearth']",[],['https://pbs.twimg.com/media/EKPgiRkWwAUvfca.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1199048812913934336,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}, {'user_id': '1599799508', 'username': 'BerkeleyEarth'}]",
1199043308196110336,1199043308196110336,1574709176000,2019-11-25,14:12:56,EST,831941985334345728,topografen,topografen,,"Won’t be able to catch up on the #30DayMapChallenge but I wanted to do ”Day 14: Boundaries”. One of my favourite creative solutions to an international border problem:
”Märket” 🇸🇪🇦🇽🇫🇮
 https://en.m.wikipedia.org/wiki/Märket  pic.twitter.com/VvbA73WCDi",[],['https://en.m.wikipedia.org/wiki/Märket'],['https://pbs.twimg.com/media/EKPbh84XsAc-aNw.jpg'],3,20,70,['#30daymapchallenge'],[],https://twitter.com/topografen/status/1199043308196110336,False,,0,,,,,,,"[{'user_id': '831941985334345728', 'username': 'topografen'}]",
1199029068462723072,1199029068462723072,1574705781000,2019-11-25,13:16:21,EST,257218656,descifra,DESCIFRA,,"Temperatura con respecto a la media máxima registrada en 2019
Day 25: Climate #30DayMapChallenge
#lovepredictinglocations #BigData #México pic.twitter.com/UhMKOgflWM",[],[],['https://pbs.twimg.com/media/EKPOlWiXsAEXoKp.png'],0,1,2,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata', '#méxico']",[],https://twitter.com/DESCIFRA/status/1199029068462723072,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1199028808344584192,1199028808344584192,1574705719000,2019-11-25,13:15:19,EST,167987822,danielchoperena,Daniel Choperena,,"Mapa 2. Unidades médicas que refieren pacientes a Hospital Pediatrico de la ⁦@SSaludCdMx⁩ e índice de vulnerabilidad social 2018. Con datos de egresos de cubos dinámicos de la ⁦@salud_dgis⁩
#30DayMapChallenge pic.twitter.com/843OMBa50d","['ssaludcdmx', 'salud_dgis']",[],['https://pbs.twimg.com/media/EKPOWBBXsAAXOEq.jpg'],0,1,3,['#30daymapchallenge'],[],https://twitter.com/DanielChoperena/status/1199028808344584192,False,,0,,,,,,,"[{'user_id': '167987822', 'username': 'DanielChoperena'}, {'user_id': '584164599', 'username': 'SSaludCdMx'}, {'user_id': '90953403', 'username': 'salud_dgis'}]",
1199028677952102400,1190339839729848320,1574705688000,2019-11-25,13:14:48,EST,2749312112,garciaart3,DoctorJ,,#Day19 #30DayMapChallenge: Rural. Areas of terrains/lota classified as rural in the central provinces of Boyacá and Cundinamarca. White=Not rural. Warmer colors correspond to larger areas. pic.twitter.com/lZ2ivoc018,"['col_en_datos', 'qgis', 'citibikenyc', 'votobici', 'policiacolombia', 'dadepbogota', 'blancaduranh', 'u2', 'wmvallejo', 'uncolombia', 'simun_unal', 'foursquare', 'redcompleja']",[],['https://pbs.twimg.com/media/EKPOK8LW4AIKb8N.jpg'],1,1,1,"['#day19', '#30daymapchallenge']",[],https://twitter.com/garciaart3/status/1199028677952102400,False,,0,,,,,,,"[{'user_id': '2749312112', 'username': 'garciaart3'}, {'user_id': '996840260683423744', 'username': 'col_en_datos'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '366631688', 'username': 'CitiBikeNYC'}, {'user_id': '722439507845509120', 'username': 'VotoBici'}, {'user_id': '69432342', 'username': 'PoliciaColombia'}, {'user_id': '1197754334', 'username': 'DadepBogota'}, {'user_id': '61916854', 'username': 'blancaduranh'}, {'user_id': '18847632', 'username': 'U2'}, {'user_id': '231899420', 'username': 'WMVallejo'}, {'user_id': '2731985244', 'username': 'UNColombia'}, {'user_id': '722204623709302784', 'username': 'simun_unal'}, {'user_id': '804341497441255424', 'username': 'Foursquare'}, {'user_id': '1133818056956887044', 'username': 'redcompleja'}]",
1199027362492534786,1199027362492534786,1574705374000,2019-11-25,13:09:34,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 25: Climate
What if? Effects of sea level rise on Ft. Myers, FL. (1ft, 5ft, 10ft rise).
#gis #geography #geographyteacher #cartography #maps #map #sealevelrise #sealevel #environment #climate #ftmyersflorida #florida #capecoralflorida pic.twitter.com/852pTeussn",[],[],['https://pbs.twimg.com/media/EKPNBR6WwAA3zRV.png'],1,2,5,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#sealevelrise', '#sealevel', '#environment', '#climate', '#ftmyersflorida', '#florida', '#capecoralflorida']",[],https://twitter.com/my_physical/status/1199027362492534786,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1199014206194016261,1199014206194016261,1574702238000,2019-11-25,12:17:18,EST,261631571,hendrikxleo,Leo,,"Day 25: Climate #30DayMapChallenge Köppen-Geiger Climate Classification in Google Earth.
Data:  http://koeppen-geiger.vu-wien.ac.at/present.htm  pic.twitter.com/NfhDb98Cf9",[],['http://koeppen-geiger.vu-wien.ac.at/present.htm'],[],0,1,5,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1199014206194016261,False,,1,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1199013711849103360,1199013711849103360,1574702120000,2019-11-25,12:15:20,EST,140068360,geomniuk,GeomniUK,,"Day 25 of the #30DayMapChallenge - Climate

The Thames Barrier prevents the floodplain of most of Greater London from being flooded by exceptionally high tides and storm surges.

Will the barrier be used more frequently due to the effects of climate change? pic.twitter.com/4lO1BAv2i0",[],[],['https://pbs.twimg.com/media/EKPAnaWXsAAzZO_.jpg'],0,1,1,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1199013711849103360,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1199012197831266305,1199012197831266305,1574701759000,2019-11-25,12:09:19,EST,528956594,vizualdatos,Edwin Mendivil Barceló,,"#30DayMapChallenge Day 6 Blue. Aguas continentales en Colombia. Mapa generado con librería tmap de #R.
#rstats #rstatsEs #gis #visualizaciondedatos #mapadecolombia #artmap #dataviz #tmap #rstudio #colombia #DatosDeMiercoles #colomviza pic.twitter.com/yI4Y5ktUhE",[],[],"['https://pbs.twimg.com/media/EKO_N6rXYAY9m6Q.jpg', 'https://pbs.twimg.com/media/EKO_N6xX0AEIAxf.jpg', 'https://pbs.twimg.com/media/EKO_N6uWkAAkwRK.jpg']",0,9,8,"['#30daymapchallenge', '#r', '#rstats', '#rstatses', '#gis', '#visualizaciondedatos', '#mapadecolombia', '#artmap', '#dataviz', '#tmap', '#rstudio', '#colombia', '#datosdemiercoles', '#colomviza']",[],https://twitter.com/vizualdatos/status/1199012197831266305,False,,0,,,,,,,"[{'user_id': '528956594', 'username': 'vizualdatos'}]",
1199010080496214026,1199010080496214026,1574701254000,2019-11-25,12:00:54,EST,982429849,pedro_com_es,Pedro Suárez,,"Un mapa terriblemente doloroso #ViolenciaMachista

1028 víctimas mortales de violencia de género entre los años 2003 y 2019.

… http://estadisticasviolenciagenero.igualdad.mpr.gob.es/

Día 24, reto 'statistics' #30DayMapChallenge

Fuente: mapa del @IGNSpain  y datos de @DelGobVG pic.twitter.com/sm4N9z4wVE","['ignspain', 'delgobvg']",['http://estadisticasviolenciagenero.igualdad.mpr.gob.es/'],['https://pbs.twimg.com/media/EKO9TtMW4AcQEQL.jpg'],0,1,2,"['#violenciamachista', '#30daymapchallenge']",[],https://twitter.com/pedro_com_es/status/1199010080496214026,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '193908521', 'username': 'IGNSpain'}, {'user_id': '926000832486805505', 'username': 'DelGobVG'}]",
1199008176160550913,1192855827272675329,1574700800000,2019-11-25,11:53:20,EST,1192848641771393027,colmixe,Colmix,,"Día 24: Estadísticas / Matsyoomujkïn
Consultamos los datos de @GoogleTrends para observar las tendencias de búsqueda de las palabras: #indígenas, #lenguaindígena, #dialectos y #mixe.
#30daymapchallenge pic.twitter.com/qmhQ37MzzU","['iyil2019', 'rill_uvic', 'un4indigenous', 'googletrends']",[],['https://pbs.twimg.com/media/EKO7ks3WsAILyEd.jpg'],2,3,12,"['#indígenas', '#lenguaindígena', '#dialectos', '#mixe', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1199008176160550913,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}, {'user_id': '1052568338101141506', 'username': 'IYIL2019'}, {'user_id': '985722782410395649', 'username': 'RILL_UVic'}, {'user_id': '863666270', 'username': 'UN4Indigenous'}, {'user_id': '3119988399', 'username': 'GoogleTrends'}]",
1199007993939025925,1199007993939025925,1574700756000,2019-11-25,11:52:36,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 25. Climate

Moisture index for the 2019 wine year (Vaucluse, France)

""Aridity"" in red

Made with @sentinel_hub pic.twitter.com/8s2eif1ixK",['sentinel_hub'],[],[],0,2,11,['#30daymapchallenge'],[],https://twitter.com/lacxrx/status/1199007993939025925,False,,1,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}, {'user_id': '2912566559', 'username': 'sentinel_hub'}]",
1199007976377462785,1192855827272675329,1574700752000,2019-11-25,11:52:32,EST,1192848641771393027,colmixe,Colmix,,"Día 23: Población / Jää'y
Al igual que las otras lenguas de México, la lengua #mixe está en riesgo, si bien en algunas comunidades + que en otras. Este mapa muestra el % de población de +5 años que habla #mixe y señala las comunidades donde este % es el menor.
#30daymapchallenge pic.twitter.com/Fq847pMR6x",[],[],['https://pbs.twimg.com/media/EKO7ZTDW4AEGkSF.jpg'],1,5,10,"['#mixe', '#mixe', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1199007976377462785,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}, {'user_id': '1052568338101141506', 'username': 'IYIL2019'}, {'user_id': '985722782410395649', 'username': 'RILL_UVic'}, {'user_id': '863666270', 'username': 'UN4Indigenous'}]",
1199006686289248257,1199006686289248257,1574700445000,2019-11-25,11:47:25,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 24. Climate

What are the most polluted municipalities in 🇳🇱, if we look at the amount of nitrogen dioxide in the air? And how could the situation be in 2030? Let's see how these predictions turn out 🔮🤔

Interactive 👉🏻 https://t.localfocus.nl/?fc7cc74  pic.twitter.com/IXlmHQdZFR",[],['https://t.localfocus.nl/?fc7cc74'],['https://pbs.twimg.com/media/EKO6M4WW4AAETKX.jpg'],0,2,1,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1199006686289248257,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1199006073526636544,1193141333722054657,1574700299000,2019-11-25,11:44:59,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 25 : Climate - Lignes du Réseau Ferré National non-exploitées #Nord #RStats #OpenData  https://fr.wikipedia.org/wiki/R%C3%A9seau_ferr%C3%A9_national_(France)#Statut_des_lignes …  https://github.com/Grisoudre/30DayMapChallenge/tree/master/day25_climate … pic.twitter.com/HeChG1Y6oI,[],"['https://fr.wikipedia.org/wiki/R%C3%A9seau_ferr%C3%A9_national_(France)#Statut_des_lignes', 'https://github.com/Grisoudre/30DayMapChallenge/tree/master/day25_climate']","['https://pbs.twimg.com/media/EKO5qXfXkAEKGlE.jpg', 'https://pbs.twimg.com/media/EKO5qXjWoAIf_P6.jpg']",1,1,0,"['#30daymapchallenge', '#nord', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1199006073526636544,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1199004289622040576,1199004289622040576,1574699873000,2019-11-25,11:37:53,EST,77265423,ijturton,Ian Turton,,"#30DayMapChallenge Day 25 Climate - though this map is more an indication of where problems will occur with increasing temperature rises.

#QGIS pic.twitter.com/cTpNnX5pOd",[],[],['https://pbs.twimg.com/media/EKO4Bp9W4AAQBEV.jpg'],0,1,3,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/ijturton/status/1199004289622040576,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1199004033362599938,1199004033362599938,1574699812000,2019-11-25,11:36:52,EST,34737662,positium,Positium,,"Day 25 of the #30DayMapChallenge! Can't believe November is almost over!
Today's topic of #climate brings you a map of the changes in annual terrestrial #precipitation around the world in 10 year intervals.
#weather #map #datascience pic.twitter.com/Oyl58x3ciD",[],[],[],0,0,7,"['#30daymapchallenge', '#climate', '#precipitation', '#weather', '#map', '#datascience']",[],https://twitter.com/positium/status/1199004033362599938,False,,1,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1199003804307525633,1199003804307525633,1574699758000,2019-11-25,11:35:58,EST,2198358416,tjukanov,Topi Tjukanov,,"40 years of arctic sea ice extent in September. Blue outline showing the 1979 extent. Created with QGIS. Data from @NOAA.

#30DayMapChallenge Day 25: Climate pic.twitter.com/Jl7bWzp10m",['noaa'],[],[],3,19,60,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1199003804307525633,False,,1,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '14342564', 'username': 'NOAA'}]",
1199001200550694912,1199001200550694912,1574699137000,2019-11-25,11:25:37,EST,223959960,_penguin_runner,Kirsten Reilly,,#30DayMapChallenge Day 25: Climate - Average temperatures throughout the year (1970-2000) #opensource #worldclim #climate #QGIS #gischat #geography #cartography pic.twitter.com/PwLHsGzW7Y,[],[],[],0,3,6,"['#30daymapchallenge', '#opensource', '#worldclim', '#climate', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1199001200550694912,False,,1,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1198998683632766978,1198998683632766978,1574698537000,2019-11-25,11:15:37,EST,2574612668,hireuter,hannes reuter,,"#30DayMapChallenge 25. Climate - Drought conditions (SPEI) March-August, 2018. Data+Vis: https://europa.eu/!gW38jy  joined contributions by @EU_Eurostat E4 #GISCO Team - 5days2go - YES we are almost there. pic.twitter.com/GQZPrHe7Bp",['eu_eurostat'],['https://europa.eu/!gW38jy'],['https://pbs.twimg.com/media/EKOy8OkXkAAizbH.jpg'],1,1,10,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1198998683632766978,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1198998281419968514,1198998281419968514,1574698441000,2019-11-25,11:14:01,EST,2367649759,gaelle_sutton,Gaëlle,,"#30DayMapChallenge
Day 25 - #Climate

Polar climate in #Arctic and the 2050 Chelsa projection for 10°c mean july temp (which is the usual delimitation for polar climate)

here is the last IPCC report about ocean and cryosphere  https://www.ipcc.ch/srocc/home/  &

 https://www.ipcc.ch/report/ar4/wg2/polar-regions-arctic-and-antarctic/ … pic.twitter.com/y4DCIReJjB",[],"['https://www.ipcc.ch/srocc/home/', 'https://www.ipcc.ch/report/ar4/wg2/polar-regions-arctic-and-antarctic/']",['https://pbs.twimg.com/media/EKOykqSWkAAMrkF.jpg'],2,4,10,"['#30daymapchallenge', '#climate', '#arctic']",[],https://twitter.com/Gaelle_Sutton/status/1198998281419968514,False,,0,,,,,,,"[{'user_id': '2367649759', 'username': 'Gaelle_Sutton'}]",
1198995542430437376,1198995542430437376,1574697788000,2019-11-25,11:03:08,EST,2756004123,emu_info,Emu Analytics,,"We've got some new beautiful maps up on  http://locationinsights.co.uk  for day 23, 24 and 25 for #30DayMapChallenge, covering the themes of ""statistics"", ""population"" and ""climate"" #datavisualisation #locationIntelligence #dataanalytics pic.twitter.com/ESJo6pdi76",[],['http://locationinsights.co.uk'],"['https://pbs.twimg.com/media/EKOwFLVWsAAYnvU.jpg', 'https://pbs.twimg.com/media/EKOwFLVX0AArd6F.jpg', 'https://pbs.twimg.com/media/EKOwFLUW4AgX_ja.jpg']",0,2,5,"['#30daymapchallenge', '#datavisualisation', '#locationintelligence', '#dataanalytics']",[],https://twitter.com/emu_info/status/1198995542430437376,False,,0,,,,,,,"[{'user_id': '2756004123', 'username': 'emu_info'}]",
1198993923194212352,1198993923194212352,1574697402000,2019-11-25,10:56:42,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
Día 25  - Climate
Mapa mundi donde se describe la nueva ruta comercial a oriente creada por holandeses e ingleses [Isaias Leuquer, 1607]. Archivo de #Simancas #Historia pic.twitter.com/HO1eGB1lG5",[],[],"['https://pbs.twimg.com/media/EKOum5eXYAA95LO.jpg', 'https://pbs.twimg.com/media/EKOuna_W4AELKTU.jpg']",0,0,4,"['#30daymapchallenge', '#simancas', '#historia']",[],https://twitter.com/BurriezaMateos/status/1198993923194212352,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1198992615544434689,1198992615544434689,1574697090000,2019-11-25,10:51:30,EST,66389211,moa_org,Measure of America,,"This #MappingMonday, take a look at some of our favorites from @tjukanov’s ONGOING #30DayMapChallenge to date! Map-twitter— keep ‘em coming! https://twitter.com/tjukanov/status/1187713840550744066?s=20 …",['tjukanov'],['https://twitter.com/tjukanov/status/1187713840550744066?s=20'],[],1,0,1,"['#mappingmonday', '#30daymapchallenge']",[],https://twitter.com/MOA_org/status/1198992615544434689,False,https://twitter.com/tjukanov/status/1187713840550744066,0,,,,,,,"[{'user_id': '66389211', 'username': 'MOA_org'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1198992013733048324,1198992013733048324,1574696946000,2019-11-25,10:49:06,EST,915339546358886400,gevlexparsimon,Gevorg Yeghikyan,,"#30DayMapChallenge #dataviz @Airbnb price distributions in #Berlin, #Amsterdam, #Milan, #Munich, #Toronto, and #Paris
@geopandas @matplotlib #python
[scales differ across the maps] pic.twitter.com/xPGAkFUcjq","['airbnb', 'geopandas', 'matplotlib']",[],['https://pbs.twimg.com/media/EKOs4TjWkAY3nAH.jpg'],0,1,6,"['#30daymapchallenge', '#dataviz', '#berlin', '#amsterdam', '#milan', '#munich', '#toronto', '#paris', '#python']",[],https://twitter.com/gevlexparsimon/status/1198992013733048324,False,,0,,,,,,,"[{'user_id': '915339546358886400', 'username': 'gevlexparsimon'}, {'user_id': '17416571', 'username': 'Airbnb'}, {'user_id': '2790503132', 'username': 'geopandas'}, {'user_id': '839501726738755584', 'username': 'matplotlib'}]",
1198990935499190272,1193141333722054657,1574696689000,2019-11-25,10:44:49,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 24 : Statistics - Abstentions aux élections présidentielles et législatives de 2017 dans le Nord #Nord #RStats #OpenData  https://github.com/Grisoudre/30DayMapChallenge/tree/master/day24_statistics … pic.twitter.com/F5P3ZREugy,[],['https://github.com/Grisoudre/30DayMapChallenge/tree/master/day24_statistics'],['https://pbs.twimg.com/media/EKOr5I2XsAEgsty.jpg'],1,1,5,"['#30daymapchallenge', '#nord', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1198990935499190272,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1198989257513328642,1198989257513328642,1574696289000,2019-11-25,10:38:09,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,#30DayMapChallenge #LASMaps https://twitter.com/LASACONGRESS/status/929782254473306112 …,[],['https://twitter.com/LASACONGRESS/status/929782254473306112'],[],0,6,14,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1198989257513328642,False,https://twitter.com/LASACONGRESS/status/929782254473306112,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1198988822551388162,1197179537580277760,1574696186000,2019-11-25,10:36:26,EST,14344140,darenw,Daren Willman,,Day fourteen of the #30DayMapChallenge (names)... Breaking down most #mlb home runs hit by birth state pic.twitter.com/thfBqIlPGE,[],[],['https://pbs.twimg.com/media/EKOp-U5WwAEXLsr.jpg'],4,4,34,"['#30daymapchallenge', '#mlb']",[],https://twitter.com/darenw/status/1198988822551388162,False,,0,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}]",
1198988178746748928,1198988178746748928,1574696032000,2019-11-25,10:33:52,EST,1082711230459060224,maptheclouds,MapTheClouds,,"Day 4 hexagons #30DayMapChallenge

Romania Presidential Elections 2019, hexagonal grid over total valid votes cartogram. 🙂

Interactive map:  http://tiny.cc/iostgz
Data:  http://tiny.cc/qestgz ,  http://tiny.cc/5cstgz
#elections #map #D3 #QGIS #alegeriprezidențiale2019 pic.twitter.com/P6tKo55caw",[],"['http://tiny.cc/iostgz', 'http://tiny.cc/qestgz', 'http://tiny.cc/5cstgz']",['https://pbs.twimg.com/media/EKOpY5BWwAEUtaw.jpg'],0,0,3,"['#30daymapchallenge', '#elections', '#map', '#d3', '#qgis', '#alegeriprezidențiale2019']",[],https://twitter.com/maptheclouds/status/1198988178746748928,False,,0,,,,,,,"[{'user_id': '1082711230459060224', 'username': 'maptheclouds'}]",
1198980731076255744,1198980731076255744,1574694256000,2019-11-25,10:04:16,EST,27186708,jccpmx,Carlos Cortés,,"Población indígena en México por regiones.
más altura ->más población...
#30DayMapChallenge Population pic.twitter.com/rEWChc5Y7A",[],[],['https://pbs.twimg.com/media/EKOinc3XkAEX-Wq.jpg'],0,4,15,['#30daymapchallenge'],[],https://twitter.com/jccpmx/status/1198980731076255744,False,,0,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1198975087157927937,1198975087157927937,1574692911000,2019-11-25,09:41:51,EST,5685812,hrbrmstr,boB Rudis,,"Not anything related to me, but  https://www.umontreal.ca/climat/engl/index.html … should have been an entry into today's #30DayMapChallenge IMO (it's interactive, too) pic.twitter.com/dJ6FCmk1ma",[],['https://www.umontreal.ca/climat/engl/index.html'],['https://pbs.twimg.com/media/EKOde-_XkAU7lTe.jpg'],0,3,5,['#30daymapchallenge'],[],https://twitter.com/hrbrmstr/status/1198975087157927937,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1198972603475677186,1198972603475677186,1574692319000,2019-11-25,09:31:59,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge
Day 24: Statistics

Another shape of the inequity and social violence: Percentage of women who are considered like Ninis (“ni estudian ni trabajan” in spanish) these who ""neither study nor work.”

Dato from @INE_Chile and @f_vivienda pic.twitter.com/UKzu2APPfW","['ine_chile', 'f_vivienda']",[],['https://pbs.twimg.com/media/EKObNq_X0AAaYqw.png'],14,91,102,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1198972603475677186,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '138048178', 'username': 'INE_Chile'}, {'user_id': '474020594', 'username': 'f_vivienda'}]",
1198967457366642688,1198967457366642688,1574691092000,2019-11-25,09:11:32,EST,82467442,thomasg77,Thomas gratier,,"#30DayMapChallenge Day 16 places ""Où les pommes et les poires sont récoltées en France"" (absence/présence par commune en France) pic.twitter.com/ttftSsA7JQ",[],[],"['https://pbs.twimg.com/media/EKOWhCWWwAAO9N1.jpg', 'https://pbs.twimg.com/media/EKOWiY2XYAMonhz.jpg']",0,7,11,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1198967457366642688,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1198965306485436417,1198965306485436417,1574690579000,2019-11-25,09:02:59,EST,85232878,ddiazescandon,David Díaz Escandón,,"#30DayMapChallenge Day 25 Climate, Density of abandoned oil/gas wells and current oil industry pipelines in #Alberta #ClimateEmergency
@AER_news
@sharonjriley
@thenarwhalca
 https://bit.ly/34hNpOx
@7Javier6 pic.twitter.com/4jevNhczni","['aer_news', 'sharonjriley', 'thenarwhalca', '7javier6']",['https://bit.ly/34hNpOx'],['https://pbs.twimg.com/media/EKOUk2XUwAECzGm.jpg'],0,2,5,"['#30daymapchallenge', '#alberta', '#climateemergency']",[],https://twitter.com/ddiazescandon/status/1198965306485436417,False,,0,,,,,,,"[{'user_id': '85232878', 'username': 'ddiazescandon'}, {'user_id': '1433591384', 'username': 'AER_news'}, {'user_id': '23567501', 'username': 'sharonjriley'}, {'user_id': '1087315136', 'username': 'thenarwhalca'}, {'user_id': '359015182', 'username': '7Javier6'}]",
1198962974284754944,1198962974284754944,1574690023000,2019-11-25,08:53:43,EST,223959960,_penguin_runner,Kirsten Reilly,,A day late... #30DayMapChallenge Day 24: Statistics - Percentage of 18-30 year olds in and around Manchester (2011) #opensource #census2011 #manchester #naturalbreaksjenks #osopen #QGIS #gischat #geography #cartography pic.twitter.com/mve0OUkV2m,[],[],[],0,0,7,"['#30daymapchallenge', '#opensource', '#census2011', '#manchester', '#naturalbreaksjenks', '#osopen', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1198962974284754944,False,,1,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1198961982361260034,1198961982361260034,1574689786000,2019-11-25,08:49:46,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Kontich, België",#30DayMapChallenge day 25: a greenhouse gas emissions map of Europe // #climate // data by @EUEnvironment pic.twitter.com/wmUfB33NXb,['euenvironment'],[],['https://pbs.twimg.com/media/EKORkA1WoAANPLd.jpg'],0,0,2,"['#30daymapchallenge', '#climate']",[],https://twitter.com/michelstuyts/status/1198961982361260034,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '22362552', 'username': 'EUEnvironment'}]",
1198961748398821376,1198961748398821376,1574689731000,2019-11-25,08:48:51,EST,984961572475981824,samikurani,Sami Kurani,,"Really awesome building visualization! Sad that I'm only now just learning about the #30DayMapChallenge, but definitely going to try to catch the last few days! https://twitter.com/CedScherer/status/1198893301992169472 …",[],['https://twitter.com/CedScherer/status/1198893301992169472'],[],0,0,6,['#30daymapchallenge'],[],https://twitter.com/SamiKurani/status/1198961748398821376,False,https://twitter.com/CedScherer/status/1198893301992169472,0,,,,,,,"[{'user_id': '984961572475981824', 'username': 'SamiKurani'}]",
1198961283497746433,1198961283497746433,1574689620000,2019-11-25,08:47:00,EST,276280627,pnelson917,Patrick Nelson,,Day 25 of the #30DayMapChallenge :  Climate…All the beautiful rain last week at home in the valley of the sun from @NOAA #IMNOS pic.twitter.com/i4PobNyVDI,['noaa'],[],['https://pbs.twimg.com/media/EKBv7egUEAAwrvh.jpg'],0,0,8,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1198961283497746433,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}, {'user_id': '14342564', 'username': 'NOAA'}]",
1198959473894838274,1198959473894838274,1574689188000,2019-11-25,08:39:48,EST,982429849,pedro_com_es,Pedro Suárez,,"Día 24, reto 'statistics' #30DayMapChallenge

No son exactamente estadísticas, pero pensé que si la visualización me sorprendía, la publicaba, y evidentemente aquí está.

Fuente: mapa del @IGNSpain y datos del @es_INE . pic.twitter.com/gWa0WEBGFE","['ignspain', 'es_ine']",[],['https://pbs.twimg.com/media/EKOPSEzWsAAOeKJ.jpg'],0,1,6,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1198959473894838274,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '193908521', 'username': 'IGNSpain'}, {'user_id': '358114249', 'username': 'es_INE'}]",
1198959203257344000,1198959203257344000,1574689124000,2019-11-25,08:38:44,EST,982429849,pedro_com_es,Pedro Suárez,,"Día 23, reto 'population' #30DayMapChallenge

Estos días se me complicaron y no he podido seguir el ritmo al reto, así que voy con mapas sencillitos para ponerme al día.

Fuente: mapa del @IGNSpain  y datos del @es_INE . pic.twitter.com/Q8ZG9uIfK5","['ignspain', 'es_ine']",[],['https://pbs.twimg.com/media/EKOPCPfWoAADhMa.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1198959203257344000,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '193908521', 'username': 'IGNSpain'}, {'user_id': '358114249', 'username': 'es_INE'}]",
1198958441433354244,1198958441433354244,1574688942000,2019-11-25,08:35:42,EST,5685812,hrbrmstr,boB Rudis,,The plan is still to crank out an #rstats {bookdown} book of the combined #30DayMapChallenge creations on Sunday with more annotated code + explanations of why I chose each topic along with why I coded them the way I did to help provide context for folks (esp those new to GIS).,[],[],[],4,8,78,"['#rstats', '#30daymapchallenge']",[],https://twitter.com/hrbrmstr/status/1198958441433354244,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1198955670944530437,1198955670944530437,1574688282000,2019-11-25,08:24:42,EST,414943174,benfriin,Ben,,"Day 24 of #30DayMapChallenge - climate

Interpolations des températures dans la région bordelaise.
#qgis #interpolation #terroir pic.twitter.com/4iiZEg39zh",[],[],['https://pbs.twimg.com/media/EKOL05HXsAE0RZy.jpg'],0,1,4,"['#30daymapchallenge', '#qgis', '#interpolation', '#terroir']",[],https://twitter.com/benfriin/status/1198955670944530437,False,,0,,,,,,,"[{'user_id': '414943174', 'username': 'benfriin'}]",
1198952512738476033,1198952512738476033,1574687529000,2019-11-25,08:12:09,EST,5685812,hrbrmstr,boB Rudis,,"For today's #30DayMapChallenge (""Climate"") I fell back on an old standby of 🌀 tropical storms 🌀 using @NOAANCDC historical track data in #rstats {sf} {ggplot2}, looking at direct hits to or close-pass-bys of Maine.

Code will be up in a bit (need moar ☕️). pic.twitter.com/wTHW6TCy9a",['noaancdc'],[],['https://pbs.twimg.com/media/EKOI85eWsAcix0J.jpg'],2,7,30,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1198952512738476033,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}, {'user_id': '3195210280', 'username': 'NOAANCDC'}]",
1198949889515884545,1193141333722054657,1574686903000,2019-11-25,08:01:43,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 23 : Population - Population de 75 ans et plus dans le nord #Nord #RStats #OpenData tps://github.com/Grisoudre/30DayMapChallenge/edit/master/day23_population pic.twitter.com/JMxbSMgkMj,[],[],['https://pbs.twimg.com/media/EKOGkLYXsAAuHNI.png'],1,1,2,"['#30daymapchallenge', '#nord', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1198949889515884545,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1198943639608709121,1198943639608709121,1574685413000,2019-11-25,07:36:53,EST,3981933203,bettermeasured,Olga Kononykhina,,"while searching for some interesting population data for the #30DayMapChallenge I discovered ""Looking for love in all the wrong places?"" article by the @StatsSA. It's nice when #statistics and #dataviz is used to address personal life matters 👏💕  http://www.statssa.gov.za/?p=9565 ",['statssa'],['http://www.statssa.gov.za/?p=9565'],[],0,0,1,"['#30daymapchallenge', '#statistics', '#dataviz']",[],https://twitter.com/bettermeasured/status/1198943639608709121,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}, {'user_id': '52372177', 'username': 'StatsSA'}]",
1198937296504066048,1198937296504066048,1574683901000,2019-11-25,07:11:41,EST,13215962,jerry_shannon,Jerry Shannon,,"NASA's Daymet project allows for easy downloading of climatological data. For their first lab, my intro to GIS students visualize precipitation at county level using Daymet data. For today's #30DayMapChallenge (climate), here's a version of that map. pic.twitter.com/MsEZIFArxA",[],[],['https://pbs.twimg.com/media/EKN7FRWWwAMJzxX.jpg'],0,3,25,['#30daymapchallenge'],[],https://twitter.com/jerry_shannon/status/1198937296504066048,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}]",
1198934925975535616,1198934925975535616,1574683336000,2019-11-25,07:02:16,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,"Using @xurxosanz's Koppen-Geiger Climate Classification dataset for #30DayMapChallenge
 https://gist.github.com/jsanz/5766a587113d092739b6 … pic.twitter.com/kVG7h2nR22",['xurxosanz'],['https://gist.github.com/jsanz/5766a587113d092739b6'],['https://pbs.twimg.com/media/EKN49HQU0AYhZH8.png'],1,4,22,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1198934925975535616,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}, {'user_id': '14291056', 'username': 'xurxosanz'}]",
1198927844644139008,1198927844644139008,1574681647000,2019-11-25,06:34:07,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
22 - built environment

was always gonna happen at some point in the month...re-release of this old chestnut. Air quality in LDN linked to the built environment 💁‍♀️
#alteryx #qgis pic.twitter.com/AqB4LoFMNl",[],[],['https://pbs.twimg.com/media/EKNyhKlWsAACb9P.jpg'],1,4,25,"['#30daymapchallenge', '#alteryx', '#qgis']",[],https://twitter.com/AdiBop_/status/1198927844644139008,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1198924932048203776,1198924932048203776,1574680953000,2019-11-25,06:22:33,EST,818083243018907648,regxaardeo,Reĝa Ardeo,,Perditaj-trovitaj objektoj en la stacidomoj de Francio en 2018. #30DayMapChallenge Tago 24 : Statistikoj #Esperanto pic.twitter.com/2K4GZyPFVY,[],[],['https://pbs.twimg.com/media/EKNvdfiX0AAdGJI.jpg'],1,2,6,"['#30daymapchallenge', '#esperanto']",[],https://twitter.com/RegxaArdeo/status/1198924932048203776,False,,0,,,,,,,"[{'user_id': '818083243018907648', 'username': 'RegxaArdeo'}]",
1198922714104381440,1198922714104381440,1574680424000,2019-11-25,06:13:44,EST,22146490,joriseekhout,Joris Eekhout,,"Day 25 (climate): The Mediterranean Basin is names as one of the primary Hot Spots for climate change. These two maps summarize the climate of the Mediterranean of the last 30 years, with an obvious increase in temperature #30DayMapChallenge pic.twitter.com/IWfM0iFbqb",[],[],"['https://pbs.twimg.com/media/EKNt11yXsAAUcTR.jpg', 'https://pbs.twimg.com/media/EKNt11yXkAE6prL.jpg']",1,15,32,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1198922714104381440,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1198919460251455494,1198919460251455494,1574679648000,2019-11-25,06:00:48,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Climate. Playing around with FMI open data. Monthly precipitation on selected sites in Finland (2018). Never really used the histogram chart option in QGIS before. Data: @meteorologit, @Tilastokeskus #30DayMapChallenge #climate #precipitation pic.twitter.com/BQDV26MdAu","['meteorologit', 'tilastokeskus']",[],['https://pbs.twimg.com/media/EKNq4oTWoAMSxY_.jpg'],0,4,12,"['#30daymapchallenge', '#climate', '#precipitation']",[],https://twitter.com/AlsuhailFaris/status/1198919460251455494,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '71528140', 'username': 'meteorologit'}, {'user_id': '253837902', 'username': 'Tilastokeskus'}]",
1198917920631508993,1198917920631508993,1574679281000,2019-11-25,05:54:41,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
21 - environment

global biomes using mollweide projection. conversion in #qgis, visualised in #tableau
#nomorewgs84
 https://public.tableau.com/views/GlobalBiomes/BiomeDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link … pic.twitter.com/zcFfLJPYkQ",[],['https://public.tableau.com/views/GlobalBiomes/BiomeDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link'],['https://pbs.twimg.com/media/EKNpfU2XUAEABDR.jpg'],1,0,6,"['#30daymapchallenge', '#qgis', '#tableau', '#nomorewgs84']",[],https://twitter.com/AdiBop_/status/1198917920631508993,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1198907931674185730,1198907931674185730,1574676900000,2019-11-25,05:15:00,EST,1499547780,heikkivesanto,Heikki Vesanto,,"Hurricane tracks from the NOAA IBTrACS database, line thickness by speed #30DayMapChallenge #Day24 #Climate Inspired by @williamscraigm  https://twitter.com/williamscraigm/status/1190870429189033984 … pic.twitter.com/5MYWegS81g",['williamscraigm'],['https://twitter.com/williamscraigm/status/1190870429189033984'],['https://pbs.twimg.com/media/EKFIUeCX0AYfWAZ.png'],1,1,7,"['#30daymapchallenge', '#day24', '#climate']",[],https://twitter.com/HeikkiVesanto/status/1198907931674185730,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}, {'user_id': '165669854', 'username': 'williamscraigm'}]",
1198898628460498945,1198898628460498945,1574674682000,2019-11-25,04:38:02,EST,77265423,ijturton,Ian Turton,,"Day 24 of #30DayMapChallenge statistics, a new statistic to me Job Density. > 1 means more jobs than residents so there are a lot of commuters, < 1 either implies a lot of out commuting or unemployment, pic.twitter.com/nCloCoHQ4Q",[],[],['https://pbs.twimg.com/media/EKNXz9OWoAAV4iZ.jpg'],2,6,11,['#30daymapchallenge'],[],https://twitter.com/ijturton/status/1198898628460498945,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1198897608397381632,1198897608397381632,1574674438000,2019-11-25,04:33:58,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge Day 25 - Climate - Mapping two things that contribute to climate change in EU using Eurostat data - national greenhouse gas emissions per capita AND bovine 🐄 populations as % of total EU28 cows. Ireland, punching above our weight with both 😪 pic.twitter.com/Wnf05lyG6Y",[],[],['https://pbs.twimg.com/media/EKNXBCeXkAAdpF-.jpg'],0,2,3,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1198897608397381632,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1198893301992169472,1198893301992169472,1574673412000,2019-11-25,04:16:52,EST,3092381638,cedscherer,Cédric Scherer,,"All 531.353 buildings (listed) in #Berlin by levels - got excited about the idea yesterday but took some time to run overnight on my personal laptop 😁
#30DayMapChallenge #ggplot #rstats #dataviz #maps pic.twitter.com/iivmjzB06g",[],[],['https://pbs.twimg.com/media/EKNTFvdWsAA3CfO.jpg'],10,28,212,"['#berlin', '#30daymapchallenge', '#ggplot', '#rstats', '#dataviz', '#maps']",[],https://twitter.com/CedScherer/status/1198893301992169472,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}]",
1198890497147899904,1198885400414212096,1574672743000,2019-11-25,04:05:43,EST,216308396,sonjakuijpers,Sonja Kuijpers | STUDIO TERP,,"Think you've initiated a great thing👌I truly enjoy the #30DayMapChallenge tweets showing up on my timeline, some really inspiring and informative maps!","['tjukanov', 'visualisingdata']",[],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/SonjaKuijpers/status/1198890497147899904,False,,0,,,,,,,"[{'user_id': '216308396', 'username': 'SonjaKuijpers'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '137712607', 'username': 'visualisingdata'}]",
1198888856315191296,1198888856315191296,1574672352000,2019-11-25,03:59:12,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 25 - Climate

CO2 emissions are driving climate change. A car emits on average 4.6 metric tonnes per year. This map renders GB as total emissions per postcode district annually based on car ownership. The numbers scare the life out of me. pic.twitter.com/sgcAaGaHk5",[],[],['https://pbs.twimg.com/media/EKNPB4GXsAArOyl.jpg'],6,10,15,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1198888856315191296,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1198886032357445632,1198886032357445632,1574671678000,2019-11-25,03:47:58,EST,3552542476,sannajokela1,Sanna Jokela,,"#30DayMapChallenge Day 25. Climate. Today I shall be very lazy and just give you this: a test result from climate tool made with @TREyleiskaava, Ubigu Ltd and Tietotakomo. I made the visualisations for QGIS and my colleagues did the actual work :) 2019-2035: CO2 emissions. pic.twitter.com/cUJ1MSHjdY",['treyleiskaava'],[],[],0,1,9,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1198886032357445632,False,,1,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}, {'user_id': '971256903555829762', 'username': 'TREyleiskaava'}]",
1198885400414212096,1198885400414212096,1574671528000,2019-11-25,03:45:28,EST,137712607,visualisingdata,Andy Kirk,,Who originally launched the #30DayMapChallenge and/or was there a launch post to trace it back to? (Was it you @tjukanov?),['tjukanov'],[],[],2,0,11,['#30daymapchallenge'],[],https://twitter.com/visualisingdata/status/1198885400414212096,False,,0,,,,,,,"[{'user_id': '137712607', 'username': 'visualisingdata'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1198877581422026752,1198877581422026752,1574669664000,2019-11-25,03:14:24,EST,34737662,positium,Positium,,"Only 2 countries in the world officially use mobile positioning data for national statistics. Can you guess which ones?

Day 24 of #30DayMapChallenge (statistics)
#maps #statistics #mobiledata pic.twitter.com/B67lS3TgSp",[],[],['https://pbs.twimg.com/media/EKNEy4PXkAEvtvS.jpg'],0,5,18,"['#30daymapchallenge', '#maps', '#statistics', '#mobiledata']",[],https://twitter.com/positium/status/1198877581422026752,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1198875869009391616,1198875869009391616,1574669255000,2019-11-25,03:07:35,EST,4143236355,ga_isig,International Special Interest Group 🗺,,There is some fascinating map work being done for #30DayMapChallenge https://twitter.com/undertheraedar/status/1198258374686711809 …,[],['https://twitter.com/undertheraedar/status/1198258374686711809'],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/GA_ISIG/status/1198875869009391616,False,https://twitter.com/undertheraedar/status/1198258374686711809,0,,,,,,,"[{'user_id': '4143236355', 'username': 'GA_ISIG'}]",
1198873525492289538,1198873525492289538,1574668697000,2019-11-25,02:58:17,EST,385013701,rastrau,Ralph Straumann,,"Day 25 of #30DayMapChallenge: Climate. Valais, Switzerland, during the Last Glacial Maximum. Interactive visualization:  http://ralphstraumann.ch/projects/last-glacial-maximum/wallis …

More background and additional scenes:  https://www.ralphstraumann.ch/blog/2016/01/visualising-the-last-glacial-maximum-correctly … pic.twitter.com/FBOrB8dOxZ",[],"['http://ralphstraumann.ch/projects/last-glacial-maximum/wallis', 'https://www.ralphstraumann.ch/blog/2016/01/visualising-the-last-glacial-maximum-correctly']",['https://pbs.twimg.com/media/EKNA5j1XkAA6gEJ.jpg'],0,5,15,['#30daymapchallenge'],[],https://twitter.com/rastrau/status/1198873525492289538,False,,0,,,,,,,"[{'user_id': '385013701', 'username': 'rastrau'}]",
1198869924891918336,1198869924891918336,1574667838000,2019-11-25,02:43:58,EST,3346807874,emmavitz,Emma Vitz,,"Day 25 of the #30DayMapChallenge - Climate! I made my first animated map using the maximum monthly temperatures in Australia over the past year and a half. Australia has seen the extreme effects of climate change first hand, with extremely high temperatures and drought. #rspatial pic.twitter.com/RQQJeYZKUg",[],[],[],0,5,24,"['#30daymapchallenge', '#rspatial']",[],https://twitter.com/EmmaVitz/status/1198869924891918336,False,,1,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1198863209085702146,1198863209085702146,1574666237000,2019-11-25,02:17:17,EST,43953969,jwolondon,Jo Wood,,"Day 25: Climate

There are many low-lying communities vulnerable to sea level rise in the face of climate change.

Here is a map of south-east England's lowlands using @OrdnanceSurvey open data.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d25Climate.md …
#30DayMapChallenge pic.twitter.com/CIlpCnbQsR",['ordnancesurvey'],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d25Climate.md'],['https://pbs.twimg.com/media/EKM3uvqWwAAyLjp.jpg'],1,0,8,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1198863209085702146,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}]",
1198860116889501696,1198860116889501696,1574665500000,2019-11-25,02:05:00,EST,138083232,swiss_geoportal,geo.admin.ch,,"[EN] # Switzerland during the Last Glacial Maximum  shows the maximum extent of glaciation in the Alps at the height of the last Ice Age around 24,000 years ago  https://s.geo.admin.ch/85b054bd84  by @swisstopo #30DayMapChallenge #climate pic.twitter.com/9okE0BkXyb",['swisstopo'],['https://s.geo.admin.ch/85b054bd84'],['https://pbs.twimg.com/media/EJwbnaBX0AETd6p.jpg'],1,2,11,"['#30daymapchallenge', '#climate']",[],https://twitter.com/swiss_geoportal/status/1198860116889501696,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '135109079', 'username': 'swisstopo'}]",
1198858980463804417,1198858980463804417,1574665229000,2019-11-25,02:00:29,EST,3351949930,riverpeek,Ryan Peek,,"Finally had a chance to get to a #30DayMapChallenge. This is a comparison of the ""EDDI"" (drought index) for Nov. on the west coast across 3 years. 2019 has truly been extremely dry, even compared to other ""drought"" years (Brighter yellows means drier conditions!) #cawx #rstats pic.twitter.com/IZMjBCktrd",[],[],['https://pbs.twimg.com/media/EKMzTasU4AACQZd.jpg'],0,8,15,"['#30daymapchallenge', '#cawx', '#rstats']",[],https://twitter.com/riverpeek/status/1198858980463804417,False,,0,,,,,,,"[{'user_id': '3351949930', 'username': 'riverpeek'}]",
1198849595620524032,1198849595620524032,1574662991000,2019-11-25,01:23:11,EST,853319797,ludotonica,PerlitaSol 💚,,"Un mapa de los asesinatxs de niñxs y en México en los últimos diez años, se puede #30DayMapChallenge ? https://twitter.com/jccpmx/status/1195926456758607872 …",[],['https://twitter.com/jccpmx/status/1195926456758607872'],[],1,1,0,['#30daymapchallenge'],[],https://twitter.com/Ludotonica/status/1198849595620524032,False,https://twitter.com/jccpmx/status/1195926456758607872,0,,,,,,,"[{'user_id': '853319797', 'username': 'Ludotonica'}]",
1198849204342255616,1198849204342255616,1574662898000,2019-11-25,01:21:38,EST,165669854,williamscraigm,Craig Williams,,#30DayMapChallenge Day 24: Statistics. Bivariate comparison of home value and income for the United States. pic.twitter.com/T2F5V7rrkL,[],[],['https://pbs.twimg.com/media/EKMq_T1UEAAcGmQ.jpg'],4,23,55,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1198849204342255616,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1198848165564178432,1198848165564178432,1574662650000,2019-11-25,01:17:30,EST,3346807874,emmavitz,Emma Vitz,,"Hey #rstats , #rspatial & the #30DayMapChallenge crew - I'm making an animation using gganimate. It looks like the points are moving (crawling from one side of the country to the other) despite the fact that the lat/long of the points stay the same over time. Anyone know why?",[],[],[],2,3,0,"['#rstats', '#rspatial', '#30daymapchallenge']",[],https://twitter.com/EmmaVitz/status/1198848165564178432,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1198847084100612097,1198847084100612097,1574662393000,2019-11-25,01:13:13,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge
Dia 23. Población (Population).

Lugares donde se concentra la población en el estado de Campeche.

¿Por qué Campeche?
Porque fue el único mapa que pude hacer sin que mi computadora se quedara trabada (+100MB).

#RStats con datos de  http://humdata.org  pic.twitter.com/rt8b7xPOBS",[],['http://humdata.org'],['https://pbs.twimg.com/media/EKMpDrGU0AAQ3V2.png'],0,2,11,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1198847084100612097,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}]",
1198825621339566081,1198825621339566081,1574657275000,2019-11-24,23:47:55,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 24 of #30DayMapChallenge – Statistics:

I didn’t get a chance to post a map yesterday as I was having too much fun jumping off waterfalls in the Coromandel.

But I did post two maps on Friday, so *statistically* I’m still tracking 100%...

#copout",[],[],[],0,0,1,"['#30daymapchallenge', '#copout']",[],https://twitter.com/SouthArrowMaps/status/1198825621339566081,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1198820080030666753,1198820080030666753,1574655954000,2019-11-24,23:25:54,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 25 of #30DayMapChallenge – Climate:

New Zealand's Mean Annual Solar Radiation pic.twitter.com/vXfUEj4H6w",[],[],['https://pbs.twimg.com/media/EKMQgFZVAAACWkG.jpg'],1,4,41,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1198820080030666753,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1198818340246085632,1197179537580277760,1574655539000,2019-11-24,23:18:59,EST,14344140,darenw,Daren Willman,,"Day thirteen of the #30DayMapChallenge (boundaries)... Animating every #MLB field fence height, highlighting where home runs go out the most. pic.twitter.com/GaEoWKey70",[],[],[],2,8,46,"['#30daymapchallenge', '#mlb']",[],https://twitter.com/darenw/status/1198818340246085632,False,,1,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}]",
1198815994019319808,1198815994019319808,1574654980000,2019-11-24,23:09:40,EST,822048926081712128,cchurchili,Carl Churchill,,"#30DayMapChallenge Used #mapbox and #Photoshop to do a small map on property value in #Estonia. Tallinn is a pricey place to live, with prices at €1,752 per sq. meter of property for a older apartment, up to 5000 for new construction in the city centre! (Newstrail 2019). pic.twitter.com/glYE5ZRaQl",[],[],['https://pbs.twimg.com/media/EKMMxuPU8AAkPRS.jpg'],0,0,10,"['#30daymapchallenge', '#mapbox', '#photoshop', '#estonia']",[],https://twitter.com/Cchurchili/status/1198815994019319808,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1198813443358199808,1198813443358199808,1574654372000,2019-11-24,22:59:32,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Dia 24. Estadísticas.

Tasas varias a nivel (ámbito) estatal.

#rstats
Parte de mi trabajo en el @LNPP_MX. 😊 pic.twitter.com/HyZw1USmew",['lnpp_mx'],[],[],1,6,16,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1198813443358199808,False,,1,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}, {'user_id': '3995615909', 'username': 'LNPP_MX'}]",
1198804309871341568,1198804309871341568,1574652194000,2019-11-24,22:23:14,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"¿Necesitan crear un mapa de #LatAm ?

Aquí compartimos una herramienta para diseñar mapas.
 https://mapchart.net/americas.html
#30DayMapChallenge pic.twitter.com/mm6Mp0Sv3c",[],['https://mapchart.net/americas.html'],['https://pbs.twimg.com/media/EKMCKZOXkAIn5a9.jpg'],0,21,53,"['#latam', '#30daymapchallenge']",[],https://twitter.com/LASACONGRESS/status/1198804309871341568,False,,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1198801778277539840,1198801778277539840,1574651591000,2019-11-24,22:13:11,EST,2236680859,rileydchampine,Riley D. Champine,,"A weekend trip to #Pittsburgh has set me back a few days on the #30DayMapChallenge, but provided lots of inspiration. A striking feature of the place is that they have SO MANY BRIDGES. Here's eleven of them around downtown. Count this as Day 22 – ""Built Environment"". pic.twitter.com/SDlXjXS0wF",[],[],['https://pbs.twimg.com/media/EKL_27hXsAAiT1l.jpg'],0,0,10,"['#pittsburgh', '#30daymapchallenge']",[],https://twitter.com/rileydchampine/status/1198801778277539840,False,,0,,,,,,,"[{'user_id': '2236680859', 'username': 'rileydchampine'}]",
1198775076205842433,1198775076205842433,1574645224000,2019-11-24,20:27:04,EST,13215962,jerry_shannon,Jerry Shannon,,Day 24 of the #30DayMapChallenge: Statistics. Here's a map showing the population weighted mean center of each state in the lower 48. I labeled them using the nearest identified place name from the U.S. Census. Data in #rstats. Map in @qgis. pic.twitter.com/uKDGrvBFgH,['qgis'],[],['https://pbs.twimg.com/media/EKLnkhNWkAAs1Ri.jpg'],9,13,44,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/jerry_shannon/status/1198775076205842433,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}, {'user_id': '271327412', 'username': 'qgis'}]",
1198773043088306176,1198773043088306176,1574644740000,2019-11-24,20:19:00,EST,2869692951,lasacongress,LASA-Latin American Studies Association,,"We will be sharing maps of Latin America this week as part of the
#30DayMapChallenge

Post your maps, tag us and use the hashtag #LASMaps. We will retweet the best maps. pic.twitter.com/oMIwFnIjF8",[],[],['https://pbs.twimg.com/media/EJ2Dhr6WwAMkBQB.jpg'],0,8,9,"['#30daymapchallenge', '#lasmaps']",[],https://twitter.com/LASACONGRESS/status/1198773043088306176,False,,0,,,,,,,"[{'user_id': '2869692951', 'username': 'LASACONGRESS'}]",
1198761853754568704,1198761853754568704,1574642072000,2019-11-24,19:34:32,EST,14851579,_kyliejane,Kylie Wilson,,Day 15 names #30dayMapChallenge playing with labels in QGIS :) pic.twitter.com/MzsZJQYE2o,[],[],['https://pbs.twimg.com/media/EKLbi-fUwAAantC.jpg'],0,2,8,['#30daymapchallenge'],[],https://twitter.com/_kyliejane/status/1198761853754568704,False,,0,,,,,,,"[{'user_id': '14851579', 'username': '_kyliejane'}]",
1198761119487275008,1198761119487275008,1574641897000,2019-11-24,19:31:37,EST,4241359336,philmassicotte,Philippe Massicotte,,My #30DayMapChallenge #⃣2⃣4⃣ (statistics) about #maplesyrup 🍁🥞 pic.twitter.com/doff1IDL0h,[],[],['https://pbs.twimg.com/media/EKLa4VcWoAIeok1.jpg'],2,9,22,"['#30daymapchallenge', '#maplesyrup']",[],https://twitter.com/philmassicotte/status/1198761119487275008,False,,0,,,,,,,"[{'user_id': '4241359336', 'username': 'philmassicotte'}]",
1198749393580634113,1198749393580634113,1574639101000,2019-11-24,18:45:01,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 22. Built Environment🏭
Full version of the OpenStreetMap for my hometown #Lipetsk 🇷🇺looks terribly incomplete, so here we go with a crude version: People vs factories.

data:
#maps #rstats #ggplot #russia #nlmk #sdg11 #city #steel #OSM pic.twitter.com/ToSEcNT6OS",[],[],['https://pbs.twimg.com/media/EKLQNxfXYAA5bZW.jpg'],0,6,21,"['#30daymapchallenge', '#lipetsk', '#maps', '#rstats', '#ggplot', '#russia', '#nlmk', '#sdg11', '#city', '#steel', '#osm']",[],https://twitter.com/bettermeasured/status/1198749393580634113,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}]",
1198743647719698432,1198743647719698432,1574637731000,2019-11-24,18:22:11,EST,2239825712,iiegj,IIEG Jalisco,,"#30DayMapChallenge Día 24. Estadística. Estamos generando estadística sobre superficies con agricultura protegida (invernaderos) y sus características en Jalisco. Este es un ejemplo donde se analiza un año, en el municipio de Jocotepec. pic.twitter.com/BmJ5Tuh7T9",[],[],['https://pbs.twimg.com/media/EKLK_njWoAA3eaR.jpg'],0,5,19,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1198743647719698432,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1198742918980423680,1198742918980423680,1574637558000,2019-11-24,18:19:18,EST,2787878432,mildthing99,BC,,"#TropicalStorm at end of Nov; SST well above av in N Atlantic: Cone+track of degrading #TropicalStormSebastien #ClimateChange map w @ArcGISOnline @GIS4Schools @geogologue #ExtremeWeather #GeographyTeacher
#30DayMapChallenge #CLIMATE @tjukanov
Data: @NOAA
 https://www.nhc.noaa.gov/gis/  pic.twitter.com/8sHRpJCZ84","['arcgisonline', 'gis4schools', 'geogologue', 'tjukanov', 'noaa']",['https://www.nhc.noaa.gov/gis/'],[],1,4,5,"['#tropicalstorm', '#tropicalstormsebastien', '#climatechange', '#extremeweather', '#geographyteacher', '#30daymapchallenge', '#climate']",[],https://twitter.com/mildthing99/status/1198742918980423680,False,,1,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '2314451911', 'username': 'ArcGISOnline'}, {'user_id': '34434120', 'username': 'GIS4Schools'}, {'user_id': '715437344858443776', 'username': 'geogologue'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '14342564', 'username': 'NOAA'}]",
1198741278738935809,1198741278738935809,1574637167000,2019-11-24,18:12:47,EST,799835587104514048,chisatini,Chisato,,#30DayMapChallenge - Population (Day23) + Stats : Wish all pet takes census too but couldn't find any data on pet ownership.  Vancouver's population by neighbourhood area with 2016 census data from @VanOpenData #rstats pic.twitter.com/S2QxXDq8a7,['vanopendata'],[],"['https://pbs.twimg.com/media/EKLI1VEVAAANLJK.jpg', 'https://pbs.twimg.com/media/EKLI1VFVAAEMPVB.jpg']",0,3,7,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/chisatini/status/1198741278738935809,False,,0,,,,,,,"[{'user_id': '799835587104514048', 'username': 'chisatini'}, {'user_id': '876603908', 'username': 'VanOpenData'}]",
1198725634945474561,1198725634945474561,1574633437000,2019-11-24,17:10:37,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge
Dia 22. Built environment.

Densidad de población que tiene vivienda en la zona de Suelo de conservación de la #CDMX (i.e. donde se recarga el acuífero de la ciudad).

#RStats con datos de  http://humdata.org  y @PAOTmx pic.twitter.com/ZseUgDO1dA",['paotmx'],['http://humdata.org'],['https://pbs.twimg.com/media/EKK6lPGUYAAbvaq.png'],1,5,14,"['#30daymapchallenge', '#cdmx', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1198725634945474561,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}, {'user_id': '76867397', 'username': 'PAOTmx'}]",
1198724589368610816,1198724585044226048,1574633187000,2019-11-24,17:06:27,EST,527879669,inari_ta,Irene de la Torre,,Because I'm very nerdy and very on time with the #30DayMapChallenge I coded it in #D3 and did a force layout 😅 And you can interact with it😱  https://irenedelatorre.github.io/30DayMapChallenge/30-day-map-challenge-yellow/ …,[],['https://irenedelatorre.github.io/30DayMapChallenge/30-day-map-challenge-yellow/'],[],1,1,6,"['#30daymapchallenge', '#d3']",[],https://twitter.com/inari_ta/status/1198724589368610816,False,,0,,,,,,,"[{'user_id': '527879669', 'username': 'inari_ta'}]",
1198724585044226048,1198724585044226048,1574633186000,2019-11-24,17:06:26,EST,527879669,inari_ta,Irene de la Torre,,"#30DayMapChallenge Day 9 - Yellow (I know it's 24th...)
I visualized the CERA dataset from @es_INE that lists Spaniards that are living abroad :) I consider it a personal dataset because I'm part of it pic.twitter.com/JeuchFRqvJ",['es_ine'],[],"['https://pbs.twimg.com/media/EKK5praXUAArlUe.png', 'https://pbs.twimg.com/media/EKK5prSXUAIhDOa.png', 'https://pbs.twimg.com/media/EKK5preW4AUnA4p.png']",1,4,16,['#30daymapchallenge'],[],https://twitter.com/inari_ta/status/1198724585044226048,False,,0,,,,,,,"[{'user_id': '527879669', 'username': 'inari_ta'}, {'user_id': '358114249', 'username': 'es_INE'}]",
1198718454272086017,1198718454272086017,1574631725000,2019-11-24,16:42:05,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland","#30DayMapChallenge Day 24: Statistics

Looking at the ratio of pubs to population by electoral division for today’s map - unsurprisingly a large supply of pubs in the city centre!

@AaronTypesStuff pic.twitter.com/uQ6fqd3wSh",['aarontypesstuff'],[],['https://pbs.twimg.com/media/EKK0E93WoAAZFVx.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/blanky343/status/1198718454272086017,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}, {'user_id': '181896323', 'username': 'AaronTypesStuff'}]",
1198717993695547392,1198717993695547392,1574631615000,2019-11-24,16:40:15,EST,14992557,gontsa,gontsa,,"Abstract statistics on fertility, mortality and migration processes for the first part of 2019 in some regions of Ukraine.
#30DayMapChallenge Day 24: Statistics
Data: #OpenStreetMap contributors, #qgis,  http://ukrstat.gov.ua  pic.twitter.com/tn62VRIhvy",[],['http://ukrstat.gov.ua'],['https://pbs.twimg.com/media/EKKzpY1XYAE_acc.jpg'],1,3,18,"['#30daymapchallenge', '#openstreetmap', '#qgis']",[],https://twitter.com/gontsa/status/1198717993695547392,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1198714143974547457,1190253562267340800,1574630697000,2019-11-24,16:24:57,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 24 (statistics): Population by lat/long marginal histograms added to population grid maps. Still very rough, would love to develop this some more and do it for all countries pic.twitter.com/CftBcIkd7d","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper', 'karim_douieb']",[],"['https://pbs.twimg.com/media/EKKwJZaW4Akq1XB.jpg', 'https://pbs.twimg.com/media/EKKwJZXXsAEoHQB.jpg', 'https://pbs.twimg.com/media/EKKwJZXX0AApwwl.jpg', 'https://pbs.twimg.com/media/EKKwJZXXUAAklMX.jpg']",5,7,59,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1198714143974547457,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}, {'user_id': '2600429268', 'username': 'karim_douieb'}]",
1198713043351416834,1198713043351416834,1574630435000,2019-11-24,16:20:35,EST,309734801,samwise_v,Sam J,,"#30DayMapChallenge Day 24: Statistics. Not been able to do any new maps today, so instead I had a quick look at my #osm edits and my stats for @TheMissingMaps. I need to get back on this for 2020, or maybe we make this project next months #30DayMapChallenge. pic.twitter.com/SXMmfQNOjX",['themissingmaps'],[],['https://pbs.twimg.com/media/EKKvKCbXkAMpT7_.png'],0,0,2,"['#30daymapchallenge', '#osm', '#30daymapchallenge']",[],https://twitter.com/samwise_v/status/1198713043351416834,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}, {'user_id': '2576444334', 'username': 'TheMissingMaps'}]",
1198703243146285056,1190472318885208064,1574628098000,2019-11-24,15:41:38,EST,237889929,denisedslu,ಠ_ಠ,,"… and some interesting clustering
#30DayMapChallenge pic.twitter.com/sj20KAKtRv",[],[],"['https://pbs.twimg.com/media/EKKlrWgWkAA8n4P.png', 'https://pbs.twimg.com/media/EKKluJ-WkAAKLdt.png', 'https://pbs.twimg.com/media/EKKlxSxXUAQuvLj.jpg', 'https://pbs.twimg.com/media/EKKlzbwW4AA4JdO.jpg']",1,1,10,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1198703243146285056,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1198702142648967169,1190472318885208064,1574627836000,2019-11-24,15:37:16,EST,237889929,denisedslu,ಠ_ಠ,,"Day 23 of #30DayMapChallenge – Population. NYCDOH tags restaurants by cuisine (it’s imperfect), which is kind of like a proxy for pockets of communities who live in different parts of the city.  Here are some of the cuisines: pic.twitter.com/tO3pOlsiIy",[],[],['https://pbs.twimg.com/media/EKKlKnDXsAA7dtK.jpg'],3,15,22,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1198702142648967169,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1198702091943981059,1198702091943981059,1574627824000,2019-11-24,15:37:04,EST,252009888,odilon72,Agnès Stienne,,"#30DayMapChallenge
Day 23. Population... of oil palm plantations in Asia
(yes yes, obsession)
 https://visionscarto.net/palmier-a-huile  pic.twitter.com/rYCqGxbatp",[],['https://visionscarto.net/palmier-a-huile'],['https://pbs.twimg.com/media/EKKlMd5WoAEKNAN.jpg'],0,0,5,['#30daymapchallenge'],[],https://twitter.com/odilon72/status/1198702091943981059,False,,0,,,,,,,"[{'user_id': '252009888', 'username': 'odilon72'}]",
1198698258857639936,1190289408022454272,1574626910000,2019-11-24,15:21:50,EST,69918773,gerardathletics,Gerard M. Porras,,"Day 21: #Environment

Regiones Biogeográficas. MITECO.

Vaig tard, sí... però fer-ho, ho faré jeje
Bastant senzill el mapa (poc temps) però he aprofitat per tocar quatre cosetes amb l'Illustrator.

#30DayMapChallenge
#QGIS pic.twitter.com/P8IEPZ04ap","['openstreetmap', 'osmcatala']",[],['https://pbs.twimg.com/media/EKKhtWrXsAABVe4.png'],0,0,0,"['#environment', '#30daymapchallenge', '#qgis']",[],https://twitter.com/Gerardathletics/status/1198698258857639936,False,,0,,,,,,,"[{'user_id': '69918773', 'username': 'Gerardathletics'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '2436978392', 'username': 'OSMcatala'}]",
1198697703947018245,1198697703947018245,1574626778000,2019-11-24,15:19:38,EST,137107982,atdodkonfektes,Zane,,#30DayMapChallenge 3: poligoni. Poligons vārdā Poligons x8. pic.twitter.com/UgSObpKeO0,[],[],['https://pbs.twimg.com/media/EKKhMwIXYAckFu6.jpg'],1,0,1,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1198697703947018245,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1198692439290241024,1191005941547896838,1574625522000,2019-11-24,14:58:42,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: Also, based on the #LandDegradation work done by Meerman & Cherrington (2005), it is estimated that the #Belize River Watershed has many areas prone to degradation if the soils are not properly managed. 🧐
 https://twitter.com/BZgeo/status/1198689414970564608 … pic.twitter.com/GEIbYCZB0a","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity', 'mcsalajan']",['https://twitter.com/BZgeo/status/1198689414970564608'],['https://pbs.twimg.com/media/EKKcZfTX0AgiWPB.jpg'],1,0,2,"['#30daymapchallenge', '#landdegradation', '#belize']",[],https://twitter.com/BZgeo/status/1198692439290241024,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}, {'user_id': '1118190446566694912', 'username': 'mcsalajan'}]",
1198689414970564608,1191005941547896838,1574624801000,2019-11-24,14:46:41,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: BTW, while the Belize River Watershed has undergone most of #Belize's recent land cover change, according to the @NRInstitute work by Bruce King et al., the area is not very arable overall, and more suited to forest conservation.

 https://twitter.com/BZgeo/status/1194469532682903552 … pic.twitter.com/iWwNQfo7wi","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity']",['https://twitter.com/BZgeo/status/1194469532682903552'],['https://pbs.twimg.com/media/EKKZpDlWsAAjq48.jpg'],1,0,2,"['#30daymapchallenge', '#belize']",[],https://twitter.com/BZgeo/status/1198689414970564608,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}, {'user_id': '1118190446566694912', 'username': 'mcsalajan'}]",
1198685178522165251,1191005941547896838,1574623791000,2019-11-24,14:29:51,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: A [now 5 year old] 2014 update + simplification of #Belize's national #ecosystems map, produced for the National Protected Areas Secretariat, and based on @NASA_Landsat / @USGSLandsat data (terrestrial & marine portions of the map).

 https://twitter.com/BZgeo/status/1198664290322006021 … pic.twitter.com/kX8mO9E91C","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity']",['https://twitter.com/BZgeo/status/1198664290322006021'],['https://pbs.twimg.com/media/EKKVziLXkAIcXjO.png'],1,1,4,"['#30daymapchallenge', '#belize', '#ecosystems']",[],https://twitter.com/BZgeo/status/1198685178522165251,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}]",
1198684909163945986,1198684909163945986,1574623727000,2019-11-24,14:28:47,EST,2574612668,hireuter,hannes reuter,,"#30DayMapChallenge 24. Statistics-the possibilities are endless. Gender employment gap age 20-64 years in Labour Force Survey, 2018. -vis:  https://europa.eu/!NT33GF  -data:  https://europa.eu/!cr67wH  -text: https://europa.eu/!uW37xh  -contributions by @EU_Eurostat E4 GISCO Team - 6days2go pic.twitter.com/pMY5FN4XaY",['eu_eurostat'],"['https://europa.eu/!NT33GF', 'https://europa.eu/!cr67wH', 'https://europa.eu/!uW37xh']",['https://pbs.twimg.com/media/EKKVkZdXkAAN1Eq.png'],0,1,4,['#30daymapchallenge'],[],https://twitter.com/hireuter/status/1198684909163945986,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1198680636812341249,1198680636812341249,1574622708000,2019-11-24,14:11:48,EST,3092381638,cedscherer,Cédric Scherer,,"Catch-up contribution for day 22 of the #30DayMapChallenge:
Buildings by number of levels in my home district #Moabit, the island in the heart of #Berlin 🧡
#ggplot2 #rstats #OpenStreetMap #dataviz pic.twitter.com/tUFPXcLmht",[],[],['https://pbs.twimg.com/media/EKKRrLcWsAAXlK-.jpg'],5,10,49,"['#30daymapchallenge', '#moabit', '#berlin', '#ggplot2', '#rstats', '#openstreetmap', '#dataviz']",[],https://twitter.com/CedScherer/status/1198680636812341249,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}]",
1198677665072525317,1198677665072525317,1574622000000,2019-11-24,14:00:00,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 24 #Statistics
Municipios más pobres de México

#QGIS pic.twitter.com/PCjkOwUbal",[],[],['https://pbs.twimg.com/media/EKGPdvcWoAAqZ0N.jpg'],1,10,32,"['#30daymapchallenge', '#statistics', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1198677665072525317,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1198676911922319360,1198676911922319360,1574621820000,2019-11-24,13:57:00,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 24: Statistics
Annual Probabilities of Tornadoes in SE USA. Based on historical data, not a prediction model!
#GIS #Geography #Geographyteacher #Cartography #maps #map #weather #tornadoes #tornado #tornadoalley #environment #climate pic.twitter.com/ZUJSOJrVfU",[],[],['https://pbs.twimg.com/media/EKKOSxOWsAAP9wy.png'],0,0,1,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#weather', '#tornadoes', '#tornado', '#tornadoalley', '#environment', '#climate']",[],https://twitter.com/my_physical/status/1198676911922319360,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1198667886602211328,1198667886602211328,1574619668000,2019-11-24,13:21:08,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
Día 24: Statistics
#Estadística general de las principales cifras del Reino de #Galicia para la Unica Contribución, con vistas de las ciudades de las provincias. Año 1753. Archivo de #Simancas #CatastroDeEnsenada pic.twitter.com/g2ftivcXIx",[],[],['https://pbs.twimg.com/media/EKKGFZgXkAANxQX.jpg'],0,2,5,"['#30daymapchallenge', '#estadística', '#galicia', '#simancas', '#catastrodeensenada']",[],https://twitter.com/BurriezaMateos/status/1198667886602211328,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1198664290322006021,1191005941547896838,1574618811000,2019-11-24,13:06:51,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: Here is a map triptych illustrating #Belize's #forest cover in 1980, 2010, and 2018. The first two maps are #Landsat-based, while the last is #MODIS-based. Secondary forest notwithstanding, Belize's forest cover has been declining.

 https://twitter.com/BZgeo/status/1198643434942324742 … pic.twitter.com/wkJxtS5WXF","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity']",['https://twitter.com/BZgeo/status/1198643434942324742'],['https://pbs.twimg.com/media/EKKCzscWkAIPNTp.jpg'],1,1,2,"['#30daymapchallenge', '#belize', '#forest', '#landsat', '#modis']",[],https://twitter.com/BZgeo/status/1198664290322006021,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}]",
1198663422025588737,1198663422025588737,1574618604000,2019-11-24,13:03:24,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 24: Statistics
Age vs poverty in PHL metro region. An inverse relationship, hypothesizing that younger people are more prone to higher poverty. Data at block group level from @uscensusbureau, h/t @jscarto for bivariate how-to pic.twitter.com/joCcpTEcSg","['uscensusbureau', 'jscarto']",[],['https://pbs.twimg.com/media/EKKCA_2XkAEIHt0.jpg'],0,1,11,['#30daymapchallenge'],[],https://twitter.com/PhilPierdo/status/1198663422025588737,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '23092890', 'username': 'uscensusbureau'}, {'user_id': '16692909', 'username': 'jscarto'}]",
1198658943960137728,1198658943960137728,1574617536000,2019-11-24,12:45:36,EST,34737662,positium,Positium,,"Day 23 (population): Iranian cities by gender
#30DayMapChallenge pic.twitter.com/w9fewJcwgQ",[],[],['https://pbs.twimg.com/media/EKJ98yuX0AAyba-.jpg'],0,1,7,['#30daymapchallenge'],[],https://twitter.com/positium/status/1198658943960137728,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1198658601264590848,1198658601264590848,1574617455000,2019-11-24,12:44:15,EST,3720386117,teemusaloriutta,Teemu Saloriutta,,#30DayMapChallenge days 23-24 population & statistics: exploring 1 km x 1 km population grid by @Tilastokeskus. Yellow map: 0-14 years age group bigger than 65+. Purple map: 65+ age group bigger than 0-14. pic.twitter.com/LuOugigg6d,['tilastokeskus'],[],"['https://pbs.twimg.com/media/EKJ9pBXXUAE4YN3.jpg', 'https://pbs.twimg.com/media/EKJ9pBiW4AE98-W.jpg']",0,0,7,['#30daymapchallenge'],[],https://twitter.com/TeemuSaloriutta/status/1198658601264590848,False,,0,,,,,,,"[{'user_id': '3720386117', 'username': 'TeemuSaloriutta'}, {'user_id': '253837902', 'username': 'Tilastokeskus'}]",
1198652179537514496,1198652179537514496,1574615924000,2019-11-24,12:18:44,EST,288471610,nixzusehen,Darrell Fuhriman ↙️↙️↙️,,"Expanding my earlier Oregon-only version, here’s the Median Population Centers of the Lower 48. 50% of the population of each state is on either side of the line.

#30DayMapChallenge, day 23, Population.

Not really satisfied with it, but deadlines are deadlines. pic.twitter.com/Vul1ExYKS2",[],[],['https://pbs.twimg.com/media/EKJ3x4hVAAEykiS.jpg'],1,5,15,['#30daymapchallenge'],[],https://twitter.com/nixzusehen/status/1198652179537514496,False,,0,,,,,,,"[{'user_id': '288471610', 'username': 'nixzusehen'}]",
1198650937033793537,1198650917396062210,1574615627000,2019-11-24,12:13:47,EST,5685812,hrbrmstr,boB Rudis,,"and, Poverty via contiguous and non-contiguous cartograms, mostly to re-prove to myself that bar charts are still better than these distorted views :-)

Code:  http://git.rud.is/hrbrmstr/y2019-30daymapchallenge … + all the social coding sites.  #30DayMapChallenge #rstats (3/3) pic.twitter.com/kUkShCY519",[],['http://git.rud.is/hrbrmstr/y2019-30daymapchallenge'],"['https://pbs.twimg.com/media/EKJ2q8uXkAASd4X.jpg', 'https://pbs.twimg.com/media/EKJ2q9LWsAALO1Z.jpg']",0,2,5,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1198650937033793537,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1198650926728450050,1198650917396062210,1574615625000,2019-11-24,12:13:45,EST,5685812,hrbrmstr,boB Rudis,,Employment type + (2/3)  #30DayMapChallenge #rstats pic.twitter.com/ey0g0QCNCO,[],[],"['https://pbs.twimg.com/media/EKJ2qU5W4AAfNJd.jpg', 'https://pbs.twimg.com/media/EKJ2qVDWsAY7dt1.jpg']",1,2,1,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1198650926728450050,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1198650917396062210,1198650917396062210,1574615623000,2019-11-24,12:13:43,EST,5685812,hrbrmstr,boB Rudis,,"For today's #30DayMapChallenge  (""Statistics"") I used county data from @mainegov with #rstats {sf} {cartogram} {ggplot2} to look at Population + (1/3) pic.twitter.com/PS70qyafE7",['mainegov'],[],['https://pbs.twimg.com/media/EKJ2pxSWoAEfaVh.jpg'],2,3,9,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1198650917396062210,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}, {'user_id': '22512788', 'username': 'mainegov'}]",
1198650433297887329,1192739046738542592,1574615507000,2019-11-24,12:11:47,EST,248833871,greenpath_urban,Henri Blom,,"Suosituimmat kaupunkipyöräreitit 10/2019. Reiteissä korostuu metroasemien (Ruoholahti, Lauttasaari ja Aalto-yliopisto) ja kaupunkipyöräasemien yhteys. Suosituin reitti Aalto-yliopisto (M), Korkeakouluaukio - Jämeräntaival, molempiin suuntiin. #30DayMapChallenge Day 24: Statistics pic.twitter.com/oW7fTBmvDA",['hsldevcom'],[],['https://pbs.twimg.com/media/EKJ2MKrW4AA16ZO.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/greenpath_urban/status/1198650433297887329,False,,0,,,,,,,"[{'user_id': '248833871', 'username': 'greenpath_urban'}, {'user_id': '627479382', 'username': 'HSLdevcom'}]",
1198648746734735360,1198648746734735360,1574615105000,2019-11-24,12:05:05,EST,257218656,descifra,DESCIFRA,,"Crecimiento Poblacional 2000-2010 en Queretaro (Municipio)
Day 24: Statistics #30DayMapChallenge
#lovepredictinglocations #BigData #México pic.twitter.com/EUNQ5A6Qsf",[],[],['https://pbs.twimg.com/media/EKJ0rsPWkAYou7i.png'],0,1,1,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata', '#méxico']",[],https://twitter.com/DESCIFRA/status/1198648746734735360,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1198646828595662849,1198646828595662849,1574614648000,2019-11-24,11:57:28,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day 24: Statistics
Typologies des migrations résidentielles intra-polarité, région Grand-Est pic.twitter.com/C2oxKgAvVW",[],[],['https://pbs.twimg.com/media/EKJy72eWsAgCOsn.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1198646828595662849,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}]",
1198646497316888578,1198646497316888578,1574614569000,2019-11-24,11:56:09,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 21. Environment🌳
I had a conversation with a friend from #trinidadandtobago 🇹🇹 and learned that his country is one of the largest CO2 emitters per capita. Today's map is about it

data:  https://edgar.jrc.ec.europa.eu/overview.php?v=booklet2019&dst=CO2pc&sort=des9 …
#maps #rstats #ggplot #CO2 #climate #emissions pic.twitter.com/8wlIk7ear5",[],['https://edgar.jrc.ec.europa.eu/overview.php?v=booklet2019&dst=CO2pc&sort=des9'],['https://pbs.twimg.com/media/EKJyoQjWsAAbL2G.jpg'],1,3,4,"['#30daymapchallenge', '#trinidadandtobago', '#maps', '#rstats', '#ggplot', '#co2', '#climate', '#emissions']",[],https://twitter.com/bettermeasured/status/1198646497316888578,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}]",
1198643434942324742,1191005941547896838,1574613839000,2019-11-24,11:43:59,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: Based on that #deforestation susceptibility modeling, we also modeled future land use change for #Belize and the trans-boundary portions of watersheds in #Mexico and #Guatemala, across 4 development scenarios, through the year 2100.

 https://twitter.com/BZgeo/status/1198640323309768704 … pic.twitter.com/Hdbg05F93T","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity']",['https://twitter.com/BZgeo/status/1198640323309768704'],"['https://pbs.twimg.com/media/EKJv2JvXkAo1O8Y.jpg', 'https://pbs.twimg.com/media/EKJv2JwXUAErmTo.jpg']",1,0,0,"['#30daymapchallenge', '#deforestation', '#belize', '#mexico', '#guatemala']",[],https://twitter.com/BZgeo/status/1198643434942324742,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}]",
1198642990803247104,1198642990803247104,1574613733000,2019-11-24,11:42:13,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,#30DayMapChallenge - Day 24 - Mapping Census 2016 ED statistics for one-person households and children born after 9/11 as % of ED households/populations. Interesting to see one-person households are basically not a thing in Dublin commuter belt and just how many born post-9/11. pic.twitter.com/MZ22Y9F0xH,[],[],"['https://pbs.twimg.com/media/EKJvGhEWsAAhgVk.jpg', 'https://pbs.twimg.com/media/EKJvGhcW4AIWmbt.jpg']",0,0,3,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1198642990803247104,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1198641794784870400,1190472318885208064,1574613448000,2019-11-24,11:37:28,EST,237889929,denisedslu,ಠ_ಠ,,"Day 22 of #30DayMapChallenge – Built Environment. Here are store buildings (including retail food places) in Manhattan, which is more commercial and has a hodgepodge of stores vs. Brooklyn, which is more residential and has retail along main boulevards. pic.twitter.com/WOXZdwu8aD",[],[],"['https://pbs.twimg.com/media/EKJt4E-W4AAt1_o.jpg', 'https://pbs.twimg.com/media/EKJt5XmXYAEZeI4.jpg']",1,0,7,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1198641794784870400,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1198640323309768704,1191005941547896838,1574613097000,2019-11-24,11:31:37,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: [Still catching up on missed days] In 2013, we also looked at susceptibility to future #deforestation, modelled using @ClarkUniversity's #IDRISI Selva software. Areas in red show areas estimated as having a higher likelihood of being deforested post-2013. pic.twitter.com/9VlJwi6goi","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey', 'clarkuniversity']",[],['https://pbs.twimg.com/media/EKJtBLmXsAATgWK.png'],1,1,1,"['#30daymapchallenge', '#deforestation', '#idrisi']",[],https://twitter.com/BZgeo/status/1198640323309768704,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '28538089', 'username': 'ClarkUniversity'}]",
1198638538486624256,1191005941547896838,1574612671000,2019-11-24,11:24:31,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: [Catching up w/ the days we missed] Here's topographic relief derived from the @OrdnanceSurvey E755 topo sheet-derived contours, vs. contours extracted from the 90m SRTM DEM, which was what was available in 2013.

 https://twitter.com/BZgeo/status/1198637629522227200 … pic.twitter.com/ljaHto67bU","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey']",['https://twitter.com/BZgeo/status/1198637629522227200'],"['https://pbs.twimg.com/media/EKJrY60WoAA-8hM.jpg', 'https://pbs.twimg.com/media/EKJrY62WoAAo-GR.jpg']",1,0,0,['#30daymapchallenge'],[],https://twitter.com/BZgeo/status/1198638538486624256,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}]",
1198637629522227200,1191005941547896838,1574612455000,2019-11-24,11:20:55,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: We were also interested in how the @OrdnanceSurvey topo sheet-derived contours compared to other DEMs. As the #SRTM and #ASTER DEMs are Digital Surface Models (DSMs) and not Digital Terrain Models (DTMs), the results differed A LOT.

 https://twitter.com/BZgeo/status/1198439065537929218 … pic.twitter.com/GeQsYmbqnf","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey']",['https://twitter.com/BZgeo/status/1198439065537929218'],"['https://pbs.twimg.com/media/EKJqjxPWkAYhFSQ.jpg', 'https://pbs.twimg.com/media/EKJqjxUXsAA21Y7.jpg', 'https://pbs.twimg.com/media/EKJqjxSXsAAk5BB.jpg']",1,0,0,"['#30daymapchallenge', '#srtm', '#aster']",[],https://twitter.com/BZgeo/status/1198637629522227200,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}]",
1198635861312770049,1198635861312770049,1574612033000,2019-11-24,11:13:53,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 24: statistika. Skatoties kartes, Latvijā izskatās baigi daudz autoceļu salīdzinājumā ar kaimiņvalstīm. Re, kā 58443 km sakrīt pa novadiem. pic.twitter.com/k53XGAG1P4",[],[],['https://pbs.twimg.com/media/EKJovi0WsAE0dqO.jpg'],2,2,10,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1198635861312770049,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1198633721714421766,1198545844233854976,1574611523000,2019-11-24,11:05:23,EST,393905106,iservia,Ignasi Servià,,"El post @iagua del map_24
#30DayMapChallenge

Evapotranspiración, en busqueda de la referencia. 💧💧 https://www.google.es/amp/s/www.iagua.es/blogs/ignasi-servia/evapotranspiracion-busqueda-referencia%3famp …",['iagua'],['https://www.google.es/amp/s/www.iagua.es/blogs/ignasi-servia/evapotranspiracion-busqueda-referencia%3famp'],[],0,1,1,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1198633721714421766,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}]",
1198626400212783104,1198626400212783104,1574609777000,2019-11-24,10:36:17,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 22 - Built Environment: Downtown Chicago buildings by year built. Footprints from City of Chicago, wavy lines for Lake Michigan courtesy of  https://www.freepik.com/starline  pic.twitter.com/M1idYM4VPI",[],['https://www.freepik.com/starline'],['https://pbs.twimg.com/media/EKJgVTPW4AA_itS.jpg'],0,2,10,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1198626400212783104,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1198626132393893894,1198626132393893894,1574609714000,2019-11-24,10:35:14,EST,2679909391,popelnuhh,Zlata Popelnuh,,#30DayMapChallenge Day 24: Statistics. UK Practical Driving Test pass rate per centre. See how I was compared the pass rate to number of roundabouts (no linear correlation):  https://github.com/popelnuh/uk-test-centres-pass-rate-roundabouts … pic.twitter.com/NXeXWziEUq,[],['https://github.com/popelnuh/uk-test-centres-pass-rate-roundabouts'],['https://pbs.twimg.com/media/EKJf-zmWwAAE85X.jpg'],0,0,8,['#30daymapchallenge'],[],https://twitter.com/popelnuhh/status/1198626132393893894,False,,0,,,,,,,"[{'user_id': '2679909391', 'username': 'popelnuhh'}]",
1198619771090219008,1198619771090219008,1574608197000,2019-11-24,10:09:57,EST,17174685,gmapsmania,gmapsmania,,"#30DayMapChallenge  Day 24 - statistics. So this one is a bit of a cheat. A redesign of my Wurman dot map showing the density of pubs in London.
 http://googlemapsmania.blogspot.com/2019/10/the-modern-plague-of-london.html … pic.twitter.com/Uv8EnDTwGG",[],['http://googlemapsmania.blogspot.com/2019/10/the-modern-plague-of-london.html'],['https://pbs.twimg.com/media/EKJaUC_WoAIIo2T.jpg'],0,2,3,['#30daymapchallenge'],[],https://twitter.com/gmapsmania/status/1198619771090219008,False,,0,,,,,,,"[{'user_id': '17174685', 'username': 'gmapsmania'}]",
1198617063054553088,1198617063054553088,1574607551000,2019-11-24,09:59:11,EST,3092381638,cedscherer,Cédric Scherer,,"Another #30DayMapChallenge × #TidyTuesday contribution  - Day 24: Statistics × Week 2018/33

A bivariate map showing mean and variance of annual Malaria death rates in African countries from 1990 to 2016, using data from the WHO.

#ggplot2 #r4ds #tdiyverse #rstats #dataviz pic.twitter.com/5qsDUN6Nrg",[],[],['https://pbs.twimg.com/media/EKJX298XUAAmhbV.jpg'],2,8,30,"['#30daymapchallenge', '#tidytuesday', '#ggplot2', '#r4ds', '#tdiyverse', '#rstats', '#dataviz']",[],https://twitter.com/CedScherer/status/1198617063054553088,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}, {'user_id': '983470194982088704', 'username': 'R4DScommunity'}, {'user_id': '1241814552', 'username': 'thomas_mock'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1198616822590787584,1198616822590787584,1574607494000,2019-11-24,09:58:14,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,Covering air traffic to and from India in the 2019 Apr-Jun Quarter for #30DayMapChallenge. UAE and Kerala cities seem to be the most popular route during this time period. Source @DGCAIndia pic.twitter.com/DO7oAnt5si,['dgcaindia'],[],"['https://pbs.twimg.com/media/EKJXn__UYAIEy6x.jpg', 'https://pbs.twimg.com/media/EKJXn__U4AAoaUL.jpg']",0,0,5,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1198616822590787584,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}, {'user_id': '1137307520093941760', 'username': 'DGCAIndia'}]",
1198615740762513408,1198615740762513408,1574607236000,2019-11-24,09:53:56,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 24. Statistics: Service areas for public libraries & population living in the service areas 📕 The smallest service area by population has only 116 people and almost 90% of Estonian population lives within 11km of a public library 🤓 Data from @eestistatistika pic.twitter.com/ENji52XxYL,['eestistatistika'],[],['https://pbs.twimg.com/media/EKJWp1QW4AgS4pd.jpg'],0,2,17,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1198615740762513408,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}, {'user_id': '90633131', 'username': 'eestistatistika'}]",
1198607971003064322,1198607971003064322,1574605384000,2019-11-24,09:23:04,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day24 #Statistics #30DayMapChallenge pic.twitter.com/vztqLDuSbX,[],[],[],0,1,7,"['#statistics', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1198607971003064322,False,,1,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1198600647031087104,1198600647031087104,1574603637000,2019-11-24,08:53:57,EST,883354862896984066,dsl_power,Michał Pilch,,"Natural gas pipelines in Europe, Asia, Africa & Middle East
source:  https://worldmap.harvard.edu/data/geonode%3Anatural_gas_pipelines_j96 …
#30DayMapChallenge pic.twitter.com/PXLJe2SulQ",[],['https://worldmap.harvard.edu/data/geonode%3Anatural_gas_pipelines_j96'],['https://pbs.twimg.com/media/EKJI7L6WoAArS3j.png'],0,1,0,['#30daymapchallenge'],[],https://twitter.com/DSL_power/status/1198600647031087104,False,,0,,,,,,,"[{'user_id': '883354862896984066', 'username': 'DSL_power'}]",
1198599650418118657,1198599650418118657,1574603400000,2019-11-24,08:50:00,EST,276280627,pnelson917,Patrick Nelson,,"Day 24 of the #30DayMapChallenge :  Statistics…Fast data binning, statistics, analytics, and visualization with the #GeoSpatialCore to make map data much more interactive and custom.  #IMNOS pic.twitter.com/c138sb7nkG",[],[],['https://pbs.twimg.com/media/EJqlnecWoAIg4z3.jpg'],0,1,3,"['#30daymapchallenge', '#geospatialcore', '#imnos']",[],https://twitter.com/pnelson917/status/1198599650418118657,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}]",
1198595535806107648,1198595535806107648,1574602419000,2019-11-24,08:33:39,EST,414943174,benfriin,Ben,,"Day 24 of #30DayMapChallenge - statistics

Analyse bivariée - carroyage

Identification des concentrations des ménages associés à leurs revenus.
#opendata #menages #revenu #carroyage #QGIS
@InseeFr @qgis pic.twitter.com/Ggr3T5ROem","['inseefr', 'qgis']",[],['https://pbs.twimg.com/media/EKJESTZX0AIwZ2I.jpg'],0,1,9,"['#30daymapchallenge', '#opendata', '#menages', '#revenu', '#carroyage', '#qgis']",[],https://twitter.com/benfriin/status/1198595535806107648,False,,0,,,,,,,"[{'user_id': '414943174', 'username': 'benfriin'}, {'user_id': '217473382', 'username': 'InseeFr'}, {'user_id': '271327412', 'username': 'qgis'}]",
1198593119496871938,1198593119496871938,1574601843000,2019-11-24,08:24:03,EST,597180455,metropop_eu,ramon bauer,,"Great #dataviz and contribution to the #30DayMapChallenge by @drawingdata demonstrating the size of the #population of #Graz in comparison to other municipalities in the Austrian province of #Styria, where regional elections take place today #LTW19 https://twitter.com/drawingdata/status/1198590260223062016 …",['drawingdata'],['https://twitter.com/drawingdata/status/1198590260223062016'],[],0,3,14,"['#dataviz', '#30daymapchallenge', '#population', '#graz', '#styria', '#ltw19']",[],https://twitter.com/metropop_eu/status/1198593119496871938,False,https://twitter.com/drawingdata/status/1198590260223062016,0,,,,,,,"[{'user_id': '597180455', 'username': 'metropop_eu'}, {'user_id': '3302833893', 'username': 'drawingdata'}]",
1198590260223062016,1198590260223062016,1574601161000,2019-11-24,08:12:41,EST,3302833893,drawingdata,Flooh Perlot,,"How big is the Austria city of Graz when it comes to regional elections (that happen to be today)? Find out yourself:  https://drawingdata.net/graz2019/index_en.html …
#30DayMapChallenge Day 23: population.

Thx @metropop_eu  for the tip pic.twitter.com/JcQLrq9MQV",['metropop_eu'],['https://drawingdata.net/graz2019/index_en.html'],[],0,6,36,['#30daymapchallenge'],[],https://twitter.com/drawingdata/status/1198590260223062016,False,,1,,,,,,,"[{'user_id': '3302833893', 'username': 'drawingdata'}, {'user_id': '597180455', 'username': 'metropop_eu'}]",
1198590053099851777,1198590053099851777,1574601112000,2019-11-24,08:11:52,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 17: Zones
NZ Protected areas, mostly department of conservation land, I've removed the marine areas. Coworkers idea, data from LINZ. Little blender, lots of QGIS and GIMP pic.twitter.com/xMXkZ1uZFo",[],[],['https://pbs.twimg.com/media/EKI_QCNU4AIu00S.jpg'],0,3,14,['#30daymapchallenge'],[],https://twitter.com/Generally_Geo/status/1198590053099851777,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}]",
1198586428839604225,1198586428839604225,1574600247000,2019-11-24,07:57:27,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 24. Statistics

Almost every Dutch municipality has a fun fact! A few years ago we made this life sized poster with loads of stats: e.g. the number of fines for dog-💩, the price for a🍺& the number of ⛪️, 🐷, or 🚘

Large version 👉🏻 https://www.dropbox.com/s/qucicdpyup64c0u/2712-basemap-kaartcutuout-resizev2.pdf?dl=0 … pic.twitter.com/MEruNbizf5",[],['https://www.dropbox.com/s/qucicdpyup64c0u/2712-basemap-kaartcutuout-resizev2.pdf?dl=0'],['https://pbs.twimg.com/media/EKI68DAXUAELUsL.jpg'],0,2,0,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1198586428839604225,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1198580346964652035,1198580346964652035,1574598797000,2019-11-24,07:33:17,EST,14130929,ttso,Tuija Sonkkila,,#30DayMapChallenge Day 24: Statistics. Night time light emissions in Helsinki region in May 2014 as seen by @NOAASatellites Data from the #DECUMANUS project via @HRInfoshare Code:  https://github.com/tts/mapchallenge/blob/master/light.R … #RStats #sf #ggplot pic.twitter.com/metmK0zXXo,"['noaasatellites', 'hrinfoshare']",['https://github.com/tts/mapchallenge/blob/master/light.R'],['https://pbs.twimg.com/media/EKI0wWmXsAUargk.png'],0,2,4,"['#30daymapchallenge', '#decumanus', '#rstats', '#sf', '#ggplot']",[],https://twitter.com/ttso/status/1198580346964652035,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '36711678', 'username': 'NOAASatellites'}, {'user_id': '304376130', 'username': 'HRInfoshare'}]",
1198579538793500672,1198579538793500672,1574598605000,2019-11-24,07:30:05,EST,760094405369946112,hansakwast,Hans van der Kwast,,Day 24 of #30DayMapChallenge: #statistics. On day 17 I posted a temperature map interpolated with #Thiessen polygons. We can interpolate the same data also using inverse distance weighting (IDW). Which one is better?  https://twitter.com/hansakwast/status/1196012268489711618 … pic.twitter.com/gttR9K2MsS,[],['https://twitter.com/hansakwast/status/1196012268489711618'],['https://pbs.twimg.com/media/EKI1ut9X0AI4S74.jpg'],2,1,10,"['#30daymapchallenge', '#statistics', '#thiessen']",[],https://twitter.com/hansakwast/status/1198579538793500672,False,,0,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}]",
1198573713488318470,1198573713488318470,1574597216000,2019-11-24,07:06:56,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Antwerp, Belgium","#30DayMapChallenge: #Statistics of the most recent @google #Streetview images in @Stad_Antwerpen, @GemeenteEdegem and @GemeenteKontich // #2019update data on  https://gis-projects.gitlab.io/streetview-opname-data/ … pic.twitter.com/C98rzDAmXF","['google', 'stad_antwerpen', 'gemeenteedegem', 'gemeentekontich']",['https://gis-projects.gitlab.io/streetview-opname-data/'],['https://pbs.twimg.com/media/EKIwbuDXkAIEDdJ.jpg'],0,1,4,"['#30daymapchallenge', '#statistics', '#streetview', '#2019update']",[],https://twitter.com/michelstuyts/status/1198573713488318470,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '20536157', 'username': 'Google'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '1263893670', 'username': 'GemeenteEdegem'}, {'user_id': '2280636319', 'username': 'GemeenteKontich'}]",
1198571690047033344,1198571690047033344,1574596733000,2019-11-24,06:58:53,EST,24961658,larust,Lárus Þorvaldsson,,"I was inspired by @neilrkaye animations of the path of the sun to create a similar map for Iceland. The maps show the angle of the sun over Iceland at summer solstice, spring equinox and winter solstice. #datawiz #30DayMapChallenge pic.twitter.com/JAF8hDPFMF",['neilrkaye'],[],[],0,0,7,"['#datawiz', '#30daymapchallenge']",[],https://twitter.com/larust/status/1198571690047033344,False,,1,,,,,,,"[{'user_id': '24961658', 'username': 'larust'}, {'user_id': '842679437263028226', 'username': 'neilrkaye'}]",
1198569394911137792,1198569394911137792,1574596186000,2019-11-24,06:49:46,EST,1063619347,cushenmichael,Michael Cushen,,"Median centre of population Ireland. Somewhere near Kilcock, Co.Kildare. 2011 Census data from Ireland and Northern Ireland.

#30DayMapChallenge Day 23: Population
#ggplot2 pic.twitter.com/tcX3yQZ82m",[],[],['https://pbs.twimg.com/media/EKIsfznU8AAWs2j.jpg'],0,4,12,"['#30daymapchallenge', '#ggplot2']",[],https://twitter.com/CushenMichael/status/1198569394911137792,False,,0,,,,,,,"[{'user_id': '1063619347', 'username': 'CushenMichael'}]",
1198568983458467842,1198568983458467842,1574596088000,2019-11-24,06:48:08,EST,102625296,rizwan236,Rizwan Shaikh,,"RT tjukanov: Population change in southern Finland between 2005 and 2018. In the red 1 x 1 km squares population has decreased with more than five people and in the yellow squares there has been similar increase.

#30DayMapChallenge Day 23: population. pic.twitter.com/mFoSKPeyM7",[],[],['https://pbs.twimg.com/media/EKIEduPW4AEbwtR.png'],0,1,1,['#30daymapchallenge'],[],https://twitter.com/rizwan236/status/1198568983458467842,False,,0,,,,,,,"[{'user_id': '102625296', 'username': 'rizwan236'}]",
1198568466254614528,1198568466254614528,1574595965000,2019-11-24,06:46:05,EST,2198358416,tjukanov,Topi Tjukanov,,"Exploring Helsinki (+Espoo) city bike statistics from August 2019.

Data:  https://www.hsl.fi/en/opendata
#30DayMapChallenge Day 24: Statistics pic.twitter.com/rzxowtAMgA",[],['https://www.hsl.fi/en/opendata'],['https://pbs.twimg.com/media/EKIrn32XUAEiCX4.jpg'],1,8,82,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1198568466254614528,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1198566302253633536,1198566302253633536,1574595449000,2019-11-24,06:37:29,EST,1063619347,cushenmichael,Michael Cushen,,"Property Parcel creation date South West Melbourne, Australia. A piece I put together a few years back which clearly shows the massive rate of urban growth in Melbourne.

#30DayMapChallenge Day 22: Built Environment
#QGIS https://twitter.com/OneMapAus/status/914670112237481984 …",[],['https://twitter.com/OneMapAus/status/914670112237481984'],[],0,0,2,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/CushenMichael/status/1198566302253633536,False,https://twitter.com/OneMapAus/status/914670112237481984,0,,,,,,,"[{'user_id': '1063619347', 'username': 'CushenMichael'}]",
1198564387688255488,1192457744143601664,1574594992000,2019-11-24,06:29:52,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"Another indirect but highly relevant, and incredibly revealing map-related website:

#30DayMapChallenge https://twitter.com/MapScaping/status/1029058261620797440 …",[],['https://twitter.com/MapScaping/status/1029058261620797440'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1198564387688255488,False,https://twitter.com/MapScaping/status/1029058261620797440,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}]",
1198562640366313472,1198163135544397824,1574594576000,2019-11-24,06:22:56,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"Wow, you are right - Wiki stats suggest ~40% of the entire population lives in Tallinn! I guess a larger, plus a finer, scheme is the only way one's going to see visible changes country wide..

Also, related thought from my #30DayMapchallenge thread: https://twitter.com/iamgkadam/status/1198329224404320257 …",['evelynuuemaa'],['https://twitter.com/iamgkadam/status/1198329224404320257'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1198562640366313472,False,https://twitter.com/iamgkadam/status/1198329224404320257,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}, {'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1198559393660444673,1198559393660444673,1574593802000,2019-11-24,06:10:02,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 2⃣2⃣ Built environment:
Today's map acknowledges another great data source: the Global Urban Footprint (GUF), a global mask of built-up areas at a resolution of 12m produced by @DLR_de:  https://tinyurl.com/ukzo5ot

The map shows GUF classification in Milan 🇮🇹 pic.twitter.com/gsHBaSdCCY",['dlr_de'],['https://tinyurl.com/ukzo5ot'],['https://pbs.twimg.com/media/EKIjaGdWkAALu93.png'],0,0,7,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1198559393660444673,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '16009851', 'username': 'DLR_de'}]",
1198558779379474432,1198558779379474432,1574593655000,2019-11-24,06:07:35,EST,22146490,joriseekhout,Joris Eekhout,,Day 24 (statistics): These maps show three methods of visualizing uncertainty in maps. Today I also have published a new a blog post in which I explain these methods and discuss their pros and cons:  https://www.joriseekhout.com/blog/visualizing-uncertainty-in-maps/ … #30DayMapChallenge pic.twitter.com/U6XO85x1HL,[],['https://www.joriseekhout.com/blog/visualizing-uncertainty-in-maps/'],['https://pbs.twimg.com/media/EKIi2hfW4AAZOoK.jpg'],1,7,26,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1198558779379474432,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1198557716521922560,1198557716521922560,1574593402000,2019-11-24,06:03:22,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Statistics. There's this stupid food gate in Finland. It's about whether or not it's OK to call something ""vegetable meat"". So here's a quick look at the evil municipalities, where fruit and veggies are processed and preserved. Data: @Tilastokeskus #30DayMapChallenge #kasvisliha pic.twitter.com/NVZU0oeUlu",['tilastokeskus'],[],['https://pbs.twimg.com/media/EKIh4t3XYAAu8Y3.jpg'],0,2,8,"['#30daymapchallenge', '#kasvisliha']",[],https://twitter.com/AlsuhailFaris/status/1198557716521922560,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '253837902', 'username': 'Tilastokeskus'}]",
1198557696321974274,1198557696321974274,1574593397000,2019-11-24,06:03:17,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 24 of #30DayMapChallenge: statistics

Share of deaths from HIV/AIDS & other sexually transmitted diseases.

Data from Global Burden of Disease Study 2017,  http://ghdx.healthdata.org/gbd-results-tool … + #Rstats.

Code:  https://gist.github.com/zentree/7688472856f6cb27b8ed72c4d358eb63 … pic.twitter.com/4dd1yGbZBY",[],"['http://ghdx.healthdata.org/gbd-results-tool', 'https://gist.github.com/zentree/7688472856f6cb27b8ed72c4d358eb63']",['https://pbs.twimg.com/media/EKIh3SmU8AAbm6a.jpg'],0,1,10,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/zentree/status/1198557696321974274,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}]",
1198556327343218688,1198556327343218688,1574593071000,2019-11-24,05:57:51,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
20 - rural

OSM land use layer filtered for rural types in #alteryx, viz in #tableau. **bonus paint spatter map of all land use types cos i thought it looked beaut.

view -  https://public.tableau.com/views/Landusespatter/PaintSplatter?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link … pic.twitter.com/8go7nrJvSG",[],['https://public.tableau.com/views/Landusespatter/PaintSplatter?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link'],"['https://pbs.twimg.com/media/EKIgnxFWkAEztyE.jpg', 'https://pbs.twimg.com/media/EKIgnxEWsAYCxgD.jpg']",1,0,10,"['#30daymapchallenge', '#alteryx', '#tableau']",[],https://twitter.com/AdiBop_/status/1198556327343218688,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1198552104157229056,1198552104157229056,1574592064000,2019-11-24,05:41:04,EST,134381775,marcwhitmore,Marc Whitmore,,@IanDuncanHMG (Plus check out #30daymapchallenge  if you haven't already!) https://twitter.com/CRVanPollard/status/1196486514169065478 …,['ianduncanhmg'],['https://twitter.com/CRVanPollard/status/1196486514169065478'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/marcwhitmore/status/1198552104157229056,False,https://twitter.com/CRVanPollard/status/1196486514169065478,0,,,,,,,"[{'user_id': '134381775', 'username': 'marcwhitmore'}, {'user_id': '1300328653', 'username': 'IanDuncanHMG'}]",
1198550548561051649,1198550548561051649,1574591693000,2019-11-24,05:34:53,EST,19001296,minus34,Hugh Saalmans,,"Here's the relative population density of inner Sydney

#30DayMapChallenge Day 23: population. pic.twitter.com/RfVzV0ClrD",[],[],['https://pbs.twimg.com/media/EKIbWneUEAAhaMh.jpg'],1,1,11,['#30daymapchallenge'],[],https://twitter.com/minus34/status/1198550548561051649,False,,0,,,,,,,"[{'user_id': '19001296', 'username': 'minus34'}]",
1198550458282991616,1198550458282991616,1574591671000,2019-11-24,05:34:31,EST,3552542476,sannajokela1,Sanna Jokela,,"#30DayMapChallenge Day 24. Statistics. Finland is the promised land for summer cottages. Here are top 6 postal code areas with over 40 cottages/km2. I live in one of them (Kakskerta, 50 cottages/km2). Data: Paavo postal code areas from @Tilastokeskus. Made with QGIS Atlas tool. pic.twitter.com/2dfWf214M6",['tilastokeskus'],[],"['https://pbs.twimg.com/media/EKIbRBjWoAEj9BL.png', 'https://pbs.twimg.com/media/EKIbRBlWsAACc8f.png', 'https://pbs.twimg.com/media/EKIbRBnW4AA90OD.png', 'https://pbs.twimg.com/media/EKIbRBrWwAAtqwM.png']",1,0,5,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1198550458282991616,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}, {'user_id': '253837902', 'username': 'Tilastokeskus'}]",
1198549383219949569,1198549383219949569,1574591415000,2019-11-24,05:30:15,EST,140068360,geomniuk,GeomniUK,,"Day 24 of the #30DayMapChallenge - Statistics

This map shows the land use types in the London Borough of Bexley and makes comparisons between this and the rest of Greater London.

The proportion of top 5 land use types in Bexley are almost an exact match with Greater London! pic.twitter.com/RfnXUM1ZIn",[],[],['https://pbs.twimg.com/media/EKIaT8BXkAATxSo.jpg'],0,1,3,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1198549383219949569,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1198546519177216000,1198546519177216000,1574590732000,2019-11-24,05:18:52,EST,842679437263028226,neilrkaye,Neil Kaye,,#30DayMapChallenge population https://twitter.com/neilrkaye/status/1184480876291342339 …,[],['https://twitter.com/neilrkaye/status/1184480876291342339'],[],0,2,5,['#30daymapchallenge'],[],https://twitter.com/neilrkaye/status/1198546519177216000,False,https://twitter.com/neilrkaye/status/1184480876291342339,0,,,,,,,"[{'user_id': '842679437263028226', 'username': 'neilrkaye'}]",
1198545844233854976,1198545844233854976,1574590571000,2019-11-24,05:16:11,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
Map_24.

El meu projecte Final de carrera @ETSEA_UdL a l'any 1993 va ser
Climatologia de l'Evapotranspiració de referencia a escala regional.

#Aigua #Agua
#Reg #Riego. pic.twitter.com/F1NI5BEVfN",['etsea_udl'],[],"['https://pbs.twimg.com/media/EKIXFqXXsAAAJyN.png', 'https://pbs.twimg.com/media/EKIXFqUXkAE-doM.png']",1,0,1,"['#30daymapchallenge', '#aigua', '#agua', '#reg', '#riego']",[],https://twitter.com/iservia/status/1198545844233854976,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '436597311', 'username': 'ETSEA_UdL'}]",
1198545543905058817,1198545543905058817,1574590500000,2019-11-24,05:15:00,EST,1499547780,heikkivesanto,Heikki Vesanto,,"Percentage chance of being able to find a free DublinBike at a station between 8 and 9 am  #30DayMapChallenge #Day24 #Population Needs to be filtered for weekdays and controlled for rainy days, but still interesting. pic.twitter.com/ROhvwmIZFW",[],[],['https://pbs.twimg.com/media/EKE61pcWwAUWIQS.jpg'],5,4,33,"['#30daymapchallenge', '#day24', '#population']",[],https://twitter.com/HeikkiVesanto/status/1198545543905058817,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1198542276995276800,1198542276995276800,1574589721000,2019-11-24,05:02:01,EST,261631571,hendrikxleo,Leo,,"Day 24: Statistics #30DayMapChallenge Cumulative fishing hours in the Canal in 2015.
Data:  http://globalfishingwatch.org   https://www.naturalearthdata.com/  pic.twitter.com/B2AmY5E8QB",[],"['http://globalfishingwatch.org', 'https://www.naturalearthdata.com/']",['https://pbs.twimg.com/media/EKIT1_yWoAAH-yI.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1198542276995276800,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1198533182376861697,1198533182376861697,1574587553000,2019-11-24,04:25:53,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 24 - Statistics

They say there are lies, damned lies and statistics. So how about some statistics about dams. 43% of countries don't have any dams and for those that do there is an average of 135926 people per dam pic.twitter.com/Efe8pl9enT",[],[],['https://pbs.twimg.com/media/EKILhfEWkAAf_2A.jpg'],1,2,11,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1198533182376861697,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1198531790232834048,1195817786829889537,1574587221000,2019-11-24,04:20:21,EST,706158714995269632,pivaurelien,Aurélien,,"Jour 24 - Statistiques - #30DayMapChallenge

Taux d'affluence aux conférences anticartellistes de l'Union catholique du Morbihan (1924-1927). pic.twitter.com/9XmdA7mVAP",[],[],['https://pbs.twimg.com/media/EKIKS8zWkAA14cW.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/pivaurelien/status/1198531790232834048,False,,0,,,,,,,"[{'user_id': '706158714995269632', 'username': 'pivaurelien'}]",
1198530568515936257,1198530568515936257,1574586929000,2019-11-24,04:15:29,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 2⃣1⃣ Environment:
Separate waste collection in 2017 in Lombardy Region municipalities (Italy).

Data sources:
- municipalities: @RegLombardia Geoportal  http://www.geoportale.regione.lombardia.it
- separate waste collection: @ISPRA_Press  https://www.catasto-rifiuti.isprambiente.it

Map: @qgis pic.twitter.com/kfN9evLKlD","['reglombardia', 'ispra_press', 'qgis']","['http://www.geoportale.regione.lombardia.it', 'https://www.catasto-rifiuti.isprambiente.it']",['https://pbs.twimg.com/media/EKIJLqoW4AAmK9t.jpg'],0,0,7,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1198530568515936257,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '56674519', 'username': 'RegLombardia'}, {'user_id': '485766105', 'username': 'ISPRA_Press'}, {'user_id': '271327412', 'username': 'qgis'}]",
1198525377905340417,1198525377905340417,1574585692000,2019-11-24,03:54:52,EST,2198358416,tjukanov,Topi Tjukanov,,"Population change in southern Finland between 2005 and 2018. In the red 1 x 1 km squares population has decreased with more than five people and in the yellow squares there has been similar increase.

#30DayMapChallenge Day 23: population. pic.twitter.com/Fwvfe4IBvR",[],[],['https://pbs.twimg.com/media/EKIEduPW4AEbwtR.png'],2,50,233,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1198525377905340417,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1198519215298404353,1198519215298404353,1574584222000,2019-11-24,03:30:22,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
19 - urban

grid density streetlights in greater manchester.
processed in #alteryx, viz in #tableau. really the shapefile is too big for tableau - unresponsive, too heavy to interact with, laggy.

anyhow -  https://public.tableau.com/views/NorthernLights/LightsDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link … pic.twitter.com/dJVgBU6IIe",[],['https://public.tableau.com/views/NorthernLights/LightsDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link'],['https://pbs.twimg.com/media/EKH-3cAXYAA8tAD.jpg'],1,0,6,"['#30daymapchallenge', '#alteryx', '#tableau']",[],https://twitter.com/AdiBop_/status/1198519215298404353,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1198518806924021760,1198518806924021760,1574584125000,2019-11-24,03:28:45,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 16: Places
Thought I would have another go at my place names map from points, I could easily spend a week tweaking it to be honest :) pic.twitter.com/WRZAFdU2EL",[],[],['https://pbs.twimg.com/media/EKH-dEzUcAEX_x4.jpg'],0,1,16,['#30daymapchallenge'],[],https://twitter.com/Generally_Geo/status/1198518806924021760,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}]",
1198507615673827328,1198507615673827328,1574581457000,2019-11-24,02:44:17,EST,138083232,swiss_geoportal,geo.admin.ch,,"[EN]  Since 1990, the residential buildings recorded in federal national censuses #switzerland  have been given coordinates.  https://s.geo.admin.ch/85b045ce92  by
@StatSchweiz #30DayMapChallenge pic.twitter.com/jfBMohLsp0",['statschweiz'],['https://s.geo.admin.ch/85b045ce92'],[],0,2,13,"['#switzerland', '#30daymapchallenge']",[],https://twitter.com/swiss_geoportal/status/1198507615673827328,False,,1,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '67978031', 'username': 'StatSchweiz'}]",
1198506886586413056,1198506886586413056,1574581283000,2019-11-24,02:41:23,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 24. Statistics

Places in France where you can say ""OK boomer"" to everyone

Made with #QGIS pic.twitter.com/lMQN7UdzNv",[],[],['https://pbs.twimg.com/media/EKHznjOXkAAwPx6.jpg'],1,24,78,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1198506886586413056,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1198502543397011456,1198502543397011456,1574580248000,2019-11-24,02:24:08,EST,14806596,aschiff,Aaron Schiff,,"I kinda burned out on the #30DayMapChallenge ... so I’m taking a different approach for the final week. I’ll just try to do one idea that I have, which is a bit complicated, and might turn out something nice, or might be a total failure 😂",[],[],[],3,0,11,['#30daymapchallenge'],[],https://twitter.com/aschiff/status/1198502543397011456,False,,0,,,,,,,"[{'user_id': '14806596', 'username': 'aschiff'}]",
1198499221101514758,1198499221101514758,1574579456000,2019-11-24,02:10:56,EST,43953969,jwolondon,Jo Wood,,"Day 24: Statistics

“42.7% of all statistics are made up on the spot” – Steven Wright.

He wasn't alone in making this joke. 27,346 recycled variations of it with different percentages on twitter between 2007-2017.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d24Statistics.md …
#30DayMapChallenge pic.twitter.com/ySVKhe0jg5",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d24Statistics.md'],['https://pbs.twimg.com/media/EKHsruUWwAEZ3zS.jpg'],1,14,42,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1198499221101514758,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1198494133813272578,1198494133813272578,1574578243000,2019-11-24,01:50:43,EST,165669854,williamscraigm,Craig Williams,,#30DayMapChallenge Day 23: Population. 2020 population density estimate for the world. pic.twitter.com/kjSjgiGhDq,[],[],['https://pbs.twimg.com/media/EKHoDwwUwAAH4Jc.jpg'],0,0,6,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1198494133813272578,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1198482702762004481,1198482702762004481,1574575517000,2019-11-24,01:05:17,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Tratando de ponerme al día.
Dia 21. Ambiente.

Superficie en el territorio nacional ocupada por bosque de pino, encino u oyamel.

#RStats con datos de uso de suelo de @Conabio pic.twitter.com/Vm5GHH4tVi",['conabio'],[],['https://pbs.twimg.com/media/EKHdp5XVUAIv2zr.jpg'],0,4,13,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1198482702762004481,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}, {'user_id': '90121746', 'username': 'Conabio'}]",
1198481637106864130,1198481637106864130,1574575263000,2019-11-24,01:01:03,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Tratando de ponerme al día.
Dia 20. Rural.

Ubicación y polígono de los 86 Distritos de Riego en México.

#RStats con datos del Sistema Nacional de Información del Agua de @conagua_mx pic.twitter.com/jxRQiOdYXc",['conagua_mx'],[],['https://pbs.twimg.com/media/EKHcrZKU8AELHe-.jpg'],0,3,8,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/JuvenalCamposF/status/1198481637106864130,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}, {'user_id': '162074535', 'username': 'conagua_mx'}]",
1198475279682813952,1198475279682813952,1574573747000,2019-11-24,00:35:47,EST,2606576396,thoughtfulnz,David Hood,,"Day 25 of #30DayMapChallenge, Climate, change in average monthly November rainfall between 1979 and 2018, blue is an increase, yellow is a decrease. Copernicus reanalysis data.

Stitched together unfamiliar packages and data to learn to work with it, code:  https://github.com/thoughtfulbloke/november19_maps … pic.twitter.com/xC7csEVmPf",[],['https://github.com/thoughtfulbloke/november19_maps'],['https://pbs.twimg.com/media/EKHW56AUcAAZ3CZ.jpg'],0,1,2,['#30daymapchallenge'],[],https://twitter.com/Thoughtfulnz/status/1198475279682813952,False,,0,,,,,,,"[{'user_id': '2606576396', 'username': 'Thoughtfulnz'}]",
1198474145463521281,1198474145463521281,1574573477000,2019-11-24,00:31:17,EST,496514453,visualvariable,Travis White,,"#30DayMapChallenge

Day 23. Population

Dot densities of all Kansan cows, hogs, sheep, and goats by county. Down to the wire with this one! pic.twitter.com/m6my94klYi",[],[],['https://pbs.twimg.com/media/EKHV4UsWoAAm4sQ.jpg'],1,1,5,['#30daymapchallenge'],[],https://twitter.com/visualvariable/status/1198474145463521281,False,,0,,,,,,,"[{'user_id': '496514453', 'username': 'visualvariable'}]",
1198473697281159168,1198473697281159168,1574573370000,2019-11-24,00:29:30,EST,1189776035295961089,jlolarteq,jlOlarteQ,,"#30DayMapChallenge Day 23 Population. Mexican localities with Indigenous population (whole Country). Data Source: INEGI and CDI, 2010-2015. pic.twitter.com/CKfvUTegZL",[],[],['https://pbs.twimg.com/media/EKHVdemW4AERBlB.jpg'],1,0,3,['#30daymapchallenge'],[],https://twitter.com/jlOlarteQ/status/1198473697281159168,False,,0,,,,,,,"[{'user_id': '1189776035295961089', 'username': 'jlOlarteQ'}]",
1198439065537929218,1191005941547896838,1574565113000,2019-11-23,22:11:53,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge (we missed a lot of days): As part of our 2013 work adjusting King et al.'s flood susceptibility for #Belize's NEMO, we also had to [re] digitize contour data from the UK @OrdnanceSurvey's E755 1:50K maps of the country.

 https://twitter.com/BZgeo/status/1198437402089545728 … pic.twitter.com/0qT2LBqqNf","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize', 'ordnancesurvey']",['https://twitter.com/BZgeo/status/1198437402089545728'],['https://pbs.twimg.com/media/EKG1-XqX0AAtB9C.jpg'],1,1,2,"['#30daymapchallenge', '#belize']",[],https://twitter.com/BZgeo/status/1198439065537929218,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}]",
1198437402089545728,1191005941547896838,1574564717000,2019-11-23,22:05:17,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: Flood susceptibility of #Belize, based on the work done by @NRInstitute's Dr. Bruce King and colleagues in the mid-1980s to early 1990s. Like the agricultural suitability, this was also based on King et al.'s soil mapping work.

 https://twitter.com/BZgeo/status/1194469532682903552 … pic.twitter.com/HEvaudv5S5","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize']",['https://twitter.com/BZgeo/status/1194469532682903552'],['https://pbs.twimg.com/media/EKG0cjeXUAUvL1D.jpg'],1,0,1,"['#30daymapchallenge', '#belize']",[],https://twitter.com/BZgeo/status/1198437402089545728,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}]",
1198430875446325250,1198430875446325250,1574563161000,2019-11-23,21:39:21,EST,13215962,jerry_shannon,Jerry Shannon,,"Day 23 of the #30DayMapChallenge is population. Working from data provided by @nhgis, here's a map of free people of color (excluding those not counted by the Census) in the U.S. in 1830. Inspired by  http://radicalcartography.net/index.html?slavery …. This map done in #rstats with #tmap. pic.twitter.com/Yt6F1Ki8QC",['nhgis'],['http://radicalcartography.net/index.html?slavery'],['https://pbs.twimg.com/media/EKGuhz8XkAEJLoR.png'],0,1,12,"['#30daymapchallenge', '#rstats', '#tmap']",[],https://twitter.com/jerry_shannon/status/1198430875446325250,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}, {'user_id': '2744833375', 'username': 'nhgis'}]",
1198401204243484674,1198401204243484674,1574556086000,2019-11-23,19:41:26,EST,3346807874,emmavitz,Emma Vitz,,"Day 24 of the #30DayMapChallenge w the theme Statistics. I looked at the % of dwellings that are less than 100m from the coast.
NZ is very preoccupied by earthquakes, but I actually think coastal erosion is more of a problem in some ways, especially when it comes to insurance pic.twitter.com/R70LViFhLo",[],[],"['https://pbs.twimg.com/media/EKGTiiIUUAAgAV9.png', 'https://pbs.twimg.com/media/EKGTiiJU8AAKXQd.png']",1,4,20,['#30daymapchallenge'],[],https://twitter.com/EmmaVitz/status/1198401204243484674,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1198398810826903554,1198398810826903554,1574555516000,2019-11-23,19:31:56,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 21 - Environment: More futzing with QGIS, I started on air quality, ended with precipitation and fun with web map services! Data: @Mapbox, @openstreetmap, @EPA,  http://waqi.info , and Multi-Radar/Multi-Sensor System from @NOAA (WMS via @IowaStateU) pic.twitter.com/SOy1X9w0ia","['mapbox', 'openstreetmap', 'epa', 'noaa', 'iowastateu']",['http://waqi.info'],"['https://pbs.twimg.com/media/EKGRL1qWwAAzpGo.jpg', 'https://pbs.twimg.com/media/EKGRL1qXYAAKP_v.jpg']",0,0,4,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1198398810826903554,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}, {'user_id': '55236002', 'username': 'Mapbox'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '14615871', 'username': 'EPA'}, {'user_id': '14342564', 'username': 'NOAA'}, {'user_id': '211258879', 'username': 'IowaStateU'}]",
1198395714037927936,1198395714037927936,1574554777000,2019-11-23,19:19:37,EST,822048926081712128,cchurchili,Carl Churchill,,"#30daymapchallenge Trying for a more @nytgraphics look for today as I look at the Sultanate of #Oman, which also was a trendsetter nation in embracing GIS data.

Check out their online portal here:  https://data.gov.om/  pic.twitter.com/84fdwIlDfY",['nytgraphics'],['https://data.gov.om/'],['https://pbs.twimg.com/media/EKGOivrVUAALZ6Y.jpg'],1,0,28,"['#30daymapchallenge', '#oman']",[],https://twitter.com/Cchurchili/status/1198395714037927936,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}, {'user_id': '86640232', 'username': 'nytgraphics'}]",
1198386484404862981,1198386484404862981,1574552577000,2019-11-23,18:42:57,EST,818668655693004801,lgeospatial,Aaron Licker,,"#30DayMapChallenge Map#3 a conceptual decolonized map of @CityofVancouver. Shore and streams are theoretical based on current evidence. I lack permission and authority to put indigenous names on the map, but that was an idea. Some colonial edits to landscape may still be apparent pic.twitter.com/7DPxA83hZN",['cityofvancouver'],[],['https://pbs.twimg.com/media/EKGGJcrU0AA3ksf.jpg'],0,1,4,['#30daymapchallenge'],[],https://twitter.com/LGeospatial/status/1198386484404862981,False,,0,,,,,,,"[{'user_id': '818668655693004801', 'username': 'LGeospatial'}, {'user_id': '55323056', 'username': 'CityofVancouver'}]",
1198386109643972609,1198386109643972609,1574552488000,2019-11-23,18:41:28,EST,2239825712,iiegj,IIEG Jalisco,,"#30DayMapChallenge  Día 23. Población. Distribución de la población en el estado de Jalisco, consulta más información sobre población en  https://iieg.gob.mx/ns/?page_id=5  pic.twitter.com/fiV0wW76wF",[],['https://iieg.gob.mx/ns/?page_id=5'],['https://pbs.twimg.com/media/EKGF0LlWsAUn0rJ.jpg'],0,7,15,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1198386109643972609,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1198385908484960256,1198385908484960256,1574552440000,2019-11-23,18:40:40,EST,374030118,alfiemar93,Alfredo M,,Todavía es noviembre y aquí les dejo un mapa #30DayMapChallenge pic.twitter.com/zJbiZtITEy,[],[],['https://pbs.twimg.com/media/EKGFoIUVUAAGGjp.jpg'],2,5,13,['#30daymapchallenge'],[],https://twitter.com/AlfieMar93/status/1198385908484960256,False,,0,,,,,,,"[{'user_id': '374030118', 'username': 'AlfieMar93'}]",
1198385776628649984,1198385776628649984,1574552408000,2019-11-23,18:40:08,EST,2606576396,thoughtfulnz,David Hood,,"Day 24 of #30DayMapChallenge, statistics, uses the same data and base map as day 23.

How many more statisticians than mathematicians in 2013, by region.

code  https://github.com/thoughtfulbloke/november19_maps … pic.twitter.com/WfdopW7Nwt",[],['https://github.com/thoughtfulbloke/november19_maps'],['https://pbs.twimg.com/media/EKGFgehUcAA4N96.jpg'],1,2,5,['#30daymapchallenge'],[],https://twitter.com/Thoughtfulnz/status/1198385776628649984,False,,0,,,,,,,"[{'user_id': '2606576396', 'username': 'Thoughtfulnz'}]",
1198382999655583750,1198382999655583750,1574551746000,2019-11-23,18:29:06,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 23 #Population
Población por municipio, México 2010

#QGIS pic.twitter.com/7HYNU4wd4B",[],[],['https://pbs.twimg.com/media/EKGC-ogWwAArCk9.jpg'],0,1,13,"['#30daymapchallenge', '#population', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1198382999655583750,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1198381668043755520,1198381668043755520,1574551429000,2019-11-23,18:23:49,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 20. Rural
Today i map #Europe. And how europeans living in rural vs urban areas perceive their country's most important challenges

data: Eurobarometer 91.2 2019  https://search.gesis.org/research_data/ZA7562 …
#maps #rstats #rural #urban #eu #ggplot #eurostat #immigration #climate pic.twitter.com/JZLf5P3H7t",[],['https://search.gesis.org/research_data/ZA7562'],"['https://pbs.twimg.com/media/EKGBxLjXkAEvIS8.jpg', 'https://pbs.twimg.com/media/EKGBxLhWsAEGzFA.jpg']",0,2,6,"['#30daymapchallenge', '#europe', '#maps', '#rstats', '#rural', '#urban', '#eu', '#ggplot', '#eurostat', '#immigration', '#climate']",[],https://twitter.com/bettermeasured/status/1198381668043755520,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}]",
1198377802434826240,1198377802434826240,1574550507000,2019-11-23,18:08:27,EST,44981447,torehalset,Tore Halset,,"#30DayMapChallenge 16. Places

Church buildings, Norway. pic.twitter.com/72xrCpXCtu",[],[],"['https://pbs.twimg.com/media/EKF-QP7XUAAIiv2.jpg', 'https://pbs.twimg.com/media/EKF-QP6W4AEz138.jpg']",0,2,6,['#30daymapchallenge'],[],https://twitter.com/torehalset/status/1198377802434826240,False,,0,,,,,,,"[{'user_id': '44981447', 'username': 'torehalset'}]",
1198374845282541568,1198374845282541568,1574549802000,2019-11-23,17:56:42,EST,33788841,dakvid,suǝbbıɹɟ pıʌɐp,,"For #30DayMapChallenge Day 23 (Population), dot density maps inspired by @fogonwater's book and @smallmultiples's recent talk. pic.twitter.com/mCsCsVvRXk","['fogonwater', 'smallmultiples']",[],['https://pbs.twimg.com/media/EKF7jhGUwAAedBC.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/dakvid/status/1198374845282541568,False,,0,,,,,,,"[{'user_id': '33788841', 'username': 'dakvid'}, {'user_id': '1075949624626601984', 'username': 'fogonwater'}, {'user_id': '318408192', 'username': 'smallmultiples'}]",
1198373220472090624,1198373220472090624,1574549415000,2019-11-23,17:50:15,EST,93839237,andrewdc_nz,Andrew DC,,Day 22 #30DayMapChallenge (Built Environment): New Zealand distribution of Car Parks pic.twitter.com/pCeU1pCeXb,[],[],['https://pbs.twimg.com/media/EKF6FGaU0AA9B-E.jpg'],1,6,18,['#30daymapchallenge'],[],https://twitter.com/andrewdc_nz/status/1198373220472090624,False,,0,,,,,,,"[{'user_id': '93839237', 'username': 'andrewdc_nz'}]",
1198372101381664768,1198297783934935040,1574549148000,2019-11-23,17:45:48,EST,800277926348324864,arnold_platon,Arnold Platon,,"Day 19,5 of #30DayMapChallenge - Urban 🏙️
🏛️ Architectural styles of the city (center) of Oradea🇷🇴

VERSION2⃣ - because what's better than realizing 4 hours later that you forgot to add one color to the legend 🙃 pic.twitter.com/rsY2WXGCdx",[],[],['https://pbs.twimg.com/media/EKF47JEWoAAQ6mz.jpg'],0,4,20,['#30daymapchallenge'],[],https://twitter.com/Arnold_Platon/status/1198372101381664768,False,,0,,,,,,,"[{'user_id': '800277926348324864', 'username': 'Arnold_Platon'}]",
1198371239850631169,1197179537580277760,1574548942000,2019-11-23,17:42:22,EST,14344140,darenw,Daren Willman,,Day twelve of the #30DayMapChallenge (movement)... Animation of the 2020 #MLB Travel Schedule pic.twitter.com/RwKVSDFbmg,[],[],[],3,10,49,"['#30daymapchallenge', '#mlb']",[],https://twitter.com/darenw/status/1198371239850631169,False,,1,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}]",
1198369601157058561,1198369601157058561,1574548552000,2019-11-23,17:35:52,EST,44981447,torehalset,Tore Halset,,"#30DayMapChallenge 15. Names

Describing the place of an emergency by its name can be dangerous. Red lines between places closer than 1 km with the same name. Kristiansand, Norway. pic.twitter.com/a3JBHTupAQ",[],[],['https://pbs.twimg.com/media/EKF2yvXXYAAhbYo.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/torehalset/status/1198369601157058561,False,,0,,,,,,,"[{'user_id': '44981447', 'username': 'torehalset'}]",
1198367212500901891,1198367212500901891,1574547982000,2019-11-23,17:26:22,EST,223959960,_penguin_runner,Kirsten Reilly,,#30DayMapChallenge Day 23: Population - Built Up Area Sub Division Populations - Wales (2015) #opensource #lle #osopen #QGIS #gischat #geography #cartography pic.twitter.com/sZ9effPTNC,[],[],['https://pbs.twimg.com/media/EKF0nwRXsAACAxm.jpg'],0,0,11,"['#30daymapchallenge', '#opensource', '#lle', '#osopen', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1198367212500901891,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1198363922916618242,1190253562267340800,1574547198000,2019-11-23,17:13:18,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 23 (population): Composition of the Population of Brussels, between Belgian, EU and outside of EU nationalities. Definitely needs more work and explanations, but, hey, we're doing one map a day (and I think this is already a nice result!) cc @karim_douieb pic.twitter.com/NsP2V3m7St","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper', 'karim_douieb']",[],['https://pbs.twimg.com/media/EKFxoXfWsAAealL.jpg'],3,3,28,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1198363922916618242,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}, {'user_id': '2600429268', 'username': 'karim_douieb'}]",
1198362336001740800,1198362336001740800,1574546820000,2019-11-23,17:07:00,EST,1591318920,kerooksblog,"Anna, Kerook",,"Day 18: Globe

A different kind of worldmap ;)
#Amigurumi Pattern ""Planeetta Maa"" by Soile

#30DayMapChallenge https://twitter.com/kerooksblog/status/1098928976951693313 …",[],['https://twitter.com/kerooksblog/status/1098928976951693313'],[],0,0,6,"['#amigurumi', '#30daymapchallenge']",[],https://twitter.com/kerooksblog/status/1198362336001740800,False,https://twitter.com/kerooksblog/status/1098928976951693313,0,,,,,,,"[{'user_id': '1591318920', 'username': 'kerooksblog'}]",
1198361154445357056,1198361154445357056,1574546538000,2019-11-23,17:02:18,EST,1591318920,kerooksblog,"Anna, Kerook",,"Day 13: Tracks.
Combining gpx to create a #heatmap
- Data source: #Strava tracks
- Map done with #Python and @geopandas

How I did:  https://kerook.eu/en/blog/2019/heatmap/ …
#30DayMapChallenge pic.twitter.com/GIfNSWc8Ha",['geopandas'],['https://kerook.eu/en/blog/2019/heatmap/'],['https://pbs.twimg.com/media/EKFvHU2X0AAmxXk.jpg'],0,0,1,"['#heatmap', '#strava', '#python', '#30daymapchallenge']",[],https://twitter.com/kerooksblog/status/1198361154445357056,False,,0,,,,,,,"[{'user_id': '1591318920', 'username': 'kerooksblog'}, {'user_id': '2790503132', 'username': 'geopandas'}]",
1198357926987096066,1198357926987096066,1574545768000,2019-11-23,16:49:28,EST,3092381638,cedscherer,Cédric Scherer,,Missed two days due to work commitments but it's weekend now so here is the contribution for today's #30DayMapChallenge - Day 23: Population ➡️ Mapping changes in annual rates of population growth by country. #ggplot2 #rstats #dataviz pic.twitter.com/guG325dXpf,[],[],['https://pbs.twimg.com/media/EKFsKgeWsBE4ruX.jpg'],1,7,27,"['#30daymapchallenge', '#ggplot2', '#rstats', '#dataviz']",[],https://twitter.com/CedScherer/status/1198357926987096066,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}]",
1198356230911250437,1198356230911250437,1574545364000,2019-11-23,16:42:44,EST,739773414316118017,ikashnitsky,Ilya Kashnitsky,,"#30DayMapChallenge Day 23. Population
Regional population age structures at a glance – a book of demographic stories in one image
code:  https://github.com/ikashnitsky/the-lancet-2018 …
text:  https://doi.org/dfnv
#rstats
the 🎨 – {tricolore} 📦 @jschoeley pic.twitter.com/MesGns3vSl",['jschoeley'],"['https://github.com/ikashnitsky/the-lancet-2018', 'https://doi.org/dfnv']",['https://pbs.twimg.com/media/EKFqaRIWwAA_3ZQ.jpg'],0,9,33,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/ikashnitsky/status/1198356230911250437,False,,0,,,,,,,"[{'user_id': '739773414316118017', 'username': 'ikashnitsky'}, {'user_id': '876174434251542529', 'username': 'jschoeley'}, {'user_id': '27013292', 'username': 'TheLancet'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}, {'user_id': '2348343486', 'username': 'PopulationEU'}, {'user_id': '1062657123857895424', 'username': 'CPop_SDU'}, {'user_id': '1513304792', 'username': 'NIDI_KNAW'}, {'user_id': '573691525', 'username': 'MPIDRnews'}, {'user_id': '112250522', 'username': 'SU_HSE'}]",
1198352809730727937,1198352809730727937,1574544548000,2019-11-23,16:29:08,EST,725799693842812929,geo_brady,brady,,"#30DayMapChallenge
Virginia Tech’s in-state undergraduate population pic.twitter.com/kWDk77ax5J",[],[],['https://pbs.twimg.com/media/EKFnhe7W4AA06HU.jpg'],0,1,8,['#30daymapchallenge'],[],https://twitter.com/geo_brady/status/1198352809730727937,False,,0,,,,,,,"[{'user_id': '725799693842812929', 'username': 'geo_brady'}]",
1198346849415057408,1198346849415057408,1574543127000,2019-11-23,16:05:27,EST,309734801,samwise_v,Sam J,,"#30DayMapChallenge Day 23: Population. Last year, for awork task, i followed an excellent post by @undertheraedar on using #qgis atlas by field. So for today I quickly copied it again to show GLA's updated population projections pic.twitter.com/v45zI81qi6",['undertheraedar'],[],[],2,15,65,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/samwise_v/status/1198346849415057408,False,,1,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}, {'user_id': '343928585', 'username': 'undertheraedar'}]",
1198342544595259392,1198342544595259392,1574542101000,2019-11-23,15:48:21,EST,5851532,iridium,Shawn Day,"Dublin City, Ireland","MY contribution to #30DayMapChallenge Day 23. 3D Map Model of Microbreweries in Ireland / 100,000 people and resultant 3D print. pic.twitter.com/MT2Z62i7Li",[],[],"['https://pbs.twimg.com/media/EKFeL9EXsAEnfoZ.jpg', 'https://pbs.twimg.com/media/EKFeL5LWkAAHaf0.png']",2,6,34,['#30daymapchallenge'],[],https://twitter.com/iridium/status/1198342544595259392,False,,0,,,,,,,"[{'user_id': '5851532', 'username': 'iridium'}]",
1198340155888635904,1198340155888635904,1574541531000,2019-11-23,15:38:51,EST,377091753,karlaguridi_,K G,,"🤤🤤🤤🤤
#30DayMapChallenge https://twitter.com/datavizero/status/1190798529309986816 …",[],['https://twitter.com/datavizero/status/1190798529309986816'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/KarlaGuridi_/status/1198340155888635904,False,https://twitter.com/datavizero/status/1190798529309986816,0,,,,,,,"[{'user_id': '377091753', 'username': 'KarlaGuridi_'}]",
1198335166122323968,1192457744143601664,1574540342000,2019-11-23,15:19:02,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"All onboard the urbanization train! From one of the most recognizable megalopolises of the world

#30DayMapChallenge https://twitter.com/CraigTaylorGIS/status/1197796725601325057 …",[],['https://twitter.com/CraigTaylorGIS/status/1197796725601325057'],[],1,0,2,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1198335166122323968,False,https://twitter.com/CraigTaylorGIS/status/1197796725601325057,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}]",
1198334090036072449,1198334090036072449,1574540085000,2019-11-23,15:14:45,EST,155965570,danidlsa,Daniela de los Santos,,"#30DayMapChallenge Day 23 - Population

People that voted for the far-right candidate in Uruguay's 2019 presidential elections, by department. Some clear patterns emerging...

#rstats pic.twitter.com/Rak0kkwTy3",[],[],['https://pbs.twimg.com/media/EKFWf3fWsAEKJ3Q.png'],1,1,1,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/danidlsa/status/1198334090036072449,False,,0,,,,,,,"[{'user_id': '155965570', 'username': 'danidlsa'}]",
1198333722669572096,1198330560634114048,1574539998000,2019-11-23,15:13:18,EST,131216319,chuplenk,Володька Збрив Вуса,,Завжди захоплювався твоїми роботами. І цей #30DayMapChallenge просто неймовірний,['gontsa'],[],[],2,0,4,['#30daymapchallenge'],[],https://twitter.com/ChuPlenk/status/1198333722669572096,False,,0,,,,,,,"[{'user_id': '131216319', 'username': 'ChuPlenk'}, {'user_id': '14992557', 'username': 'gontsa'}]",
1198330560634114048,1198330560634114048,1574539244000,2019-11-23,15:00:44,EST,14992557,gontsa,gontsa,,"Today's theme of the MapChallenge is related to the population. Today is the Holodomor Remembrance Day In Ukraine.
So I created this map. More  http://gis.huri.harvard.edu/historical-atlas/the-great-famine.html …
#30DayMapChallenge Day 23: Population
Data: Ukrainian Research Institute at Harvard University pic.twitter.com/LZWwMRSP8D",[],['http://gis.huri.harvard.edu/historical-atlas/the-great-famine.html'],['https://pbs.twimg.com/media/EKFTRkPXsAAdjgZ.jpg'],2,49,52,['#30daymapchallenge'],[],https://twitter.com/gontsa/status/1198330560634114048,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1198329224404320257,1192457744143601664,1574538925000,2019-11-23,14:55:25,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"Great viz! A greater scale that actually shows urban density increase during the day might have even more effective I think?

Wonder if Japan would have the most such stark contrast on this metric. There's gotta be data somewhere.

#30DayMapChallenge https://twitter.com/evelynuuemaa/status/1198163135544397824?s=20 …",[],['https://twitter.com/evelynuuemaa/status/1198163135544397824?s=20'],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1198329224404320257,False,https://twitter.com/evelynuuemaa/status/1198163135544397824,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}]",
1198328795570331650,1198328795570331650,1574538823000,2019-11-23,14:53:43,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge Day 23 - Map of 'ordinary' European cities, with populations between 50,000 and 500,000, using Eurostat data. Not that big, not that small, just where and how loads of Europeans live. pic.twitter.com/4kgYAiO6wH",[],[],['https://pbs.twimg.com/media/EKFRm0EXkAEunKC.jpg'],1,0,5,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1198328795570331650,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1198312751560626178,1198312751560626178,1574534998000,2019-11-23,13:49:58,EST,14130929,ttso,Tuija Sonkkila,,#30DayMapChallenge Day 23: Population. Downtown Helsinki is a popular place to live in most age groups but especially when you are around 30. Source: Population grid of Helsinki metropolitan area @HRInfoshare Code:  https://github.com/tts/mapchallenge/blob/master/population.R … #rstats #sf #tmap pic.twitter.com/ZrV1j0e0kc,['hrinfoshare'],['https://github.com/tts/mapchallenge/blob/master/population.R'],"['https://pbs.twimg.com/media/EKE75TuW4AAbJmb.png', 'https://pbs.twimg.com/media/EKFBWncXUAEZLYm.png', 'https://pbs.twimg.com/media/EKFBYYIWkAQCe3J.png', 'https://pbs.twimg.com/media/EKFBaRqXUAAWrJD.png']",0,1,3,"['#30daymapchallenge', '#rstats', '#sf', '#tmap']",[],https://twitter.com/ttso/status/1198312751560626178,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '304376130', 'username': 'HRInfoshare'}]",
1198312007436578817,1198312007436578817,1574534820000,2019-11-23,13:47:00,EST,528956594,vizualdatos,Edwin Mendivil Barceló,,"#30DayMapChallenge Day 5 Raster. Relieve de Colombia, generado con #R.
3 paletas de colores para escoger :)
#rstats #rstatsEs #DatosDeMiercoles #visualizaciondedatos #mapadecolombia #gis #rastermap #dataviz #beautifulmap #colombia #tmap pic.twitter.com/ndbOqlvNYl",[],[],"['https://pbs.twimg.com/media/EKFCYdAWwAAs6FH.jpg', 'https://pbs.twimg.com/media/EKFCYdFXkAItSOD.jpg', 'https://pbs.twimg.com/media/EKFCYdIWoAQ6rMI.jpg']",2,14,48,"['#30daymapchallenge', '#r', '#rstats', '#rstatses', '#datosdemiercoles', '#visualizaciondedatos', '#mapadecolombia', '#gis', '#rastermap', '#dataviz', '#beautifulmap', '#colombia', '#tmap']",[],https://twitter.com/vizualdatos/status/1198312007436578817,False,,0,,,,,,,"[{'user_id': '528956594', 'username': 'vizualdatos'}]",
1198310502235021313,1198310502235021313,1574534461000,2019-11-23,13:41:01,EST,159574073,mjlegg,Michael Legg,,Day 23: Population #30DayMapChallenge population density hexgrid England and Wales using #Aerialod @ephtracy & @ONS 2011 Census Output Area population. pic.twitter.com/qs3mgJAR8d,"['ephtracy', 'ons']",[],['https://pbs.twimg.com/media/EKFBC7dXUAE5Knt.jpg'],0,0,3,"['#30daymapchallenge', '#aerialod']",[],https://twitter.com/mjlegg/status/1198310502235021313,False,,0,,,,,,,"[{'user_id': '159574073', 'username': 'mjlegg'}, {'user_id': '267862771', 'username': 'ephtracy'}, {'user_id': '219275799', 'username': 'ONS'}]",
1198301982764752896,1198301982764752896,1574532430000,2019-11-23,13:07:10,EST,261631571,hendrikxleo,Leo,,"Day 23: Population #30DayMapChallenge Inhabitants per square kilometer at neighborhood level
Data: CBS buurten kaart 2018 pic.twitter.com/X6f8qwm1pw",[],[],"['https://pbs.twimg.com/media/EKE5RyxWkAApwCM.jpg', 'https://pbs.twimg.com/media/EKE5RyzXsAAXouu.jpg', 'https://pbs.twimg.com/media/EKE5Ry0XYAAoK_P.jpg']",0,0,4,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1198301982764752896,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1198300306041257984,1198300306041257984,1574532030000,2019-11-23,13:00:30,EST,15072690,yanncabon,Yann Cabon,,My only contributions to #30DayMapChallenge are for Day 23: Population. 4 Visualizations about the historical population of France from 1876 to 2015. Data from @InseeFr and @IGNFrance with @ArcGISJSAPI #esrijs 1/5 pic.twitter.com/jTvLBwSTtW,"['inseefr', 'ignfrance', 'arcgisjsapi']",[],['https://pbs.twimg.com/media/EKE3xQ_UYAEO_3I.jpg'],2,4,25,"['#30daymapchallenge', '#esrijs']",[],https://twitter.com/yanncabon/status/1198300306041257984,False,,0,,,,,,,"[{'user_id': '15072690', 'username': 'yanncabon'}, {'user_id': '217473382', 'username': 'InseeFr'}, {'user_id': '57276576', 'username': 'IGNFrance'}, {'user_id': '4228891907', 'username': 'ArcGISJSAPI'}]",
1198299235927691265,1198299235927691265,1574531775000,2019-11-23,12:56:15,EST,437801734,blanky343,Antonia Blankenberg,,Day 23’s map is looking at non-Irish populations across the country #30DayMapChallenge pic.twitter.com/pg2hHf7WHy,[],[],['https://pbs.twimg.com/media/EKE2y3eW4AA4aMa.jpg'],0,2,13,['#30daymapchallenge'],[],https://twitter.com/blanky343/status/1198299235927691265,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1198297783934935040,1198297783934935040,1574531429000,2019-11-23,12:50:29,EST,800277926348324864,arnold_platon,Arnold Platon,,"Day... 19 of #30DayMapChallenge - Urban 🏙️
🏛️ Architectural styles of the city (center) of Oradea🇷🇴

An old map I did some years ago that I never published, so this is as good excuse as any I guess... pic.twitter.com/4ezMa2htoC",[],[],['https://pbs.twimg.com/media/EKE1YGIW4AIZwtN.jpg'],1,1,16,['#30daymapchallenge'],[],https://twitter.com/Arnold_Platon/status/1198297783934935040,False,,0,,,,,,,"[{'user_id': '800277926348324864', 'username': 'Arnold_Platon'}]",
1198291818041028611,1198291818041028611,1574530007000,2019-11-23,12:26:47,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 23: iedzīvotāji. Ja visi jūrmalnieki aizietu uz pludmales ballīti, viņi aizņemtu tikai vienu staciju posmu. Teorētiski, 24 km garajā Jūrmalas pludmalē visiem pietiktu vietas arī saules un jūras peldēm, bet jūrmalnieki uz jūru neiet. pic.twitter.com/52EVJlYqbc",[],[],['https://pbs.twimg.com/media/EKEwCbuXYAAr-cm.jpg'],0,2,9,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1198291818041028611,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1198290210494337025,1192457744143601664,1574529623000,2019-11-23,12:20:23,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"Would be great to see how this looks when mapped from all of Europe - should be very telling on which country contributed most during the initial colonization of the Americas

#30DayMapChallenge https://twitter.com/williamscraigm/status/1195522003186274304?s=20 …",[],['https://twitter.com/williamscraigm/status/1195522003186274304?s=20'],[],1,0,0,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1198290210494337025,False,https://twitter.com/williamscraigm/status/1195522003186274304,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}]",
1198286222914924544,1198286222914924544,1574528673000,2019-11-23,12:04:33,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 23: Population
A variation on #election #maps: returns at county level, but instead of dot density (h/t @kennethfield) or my earlier value-by-alpha, I used @USGSLandCover as a mask; developed is transparent, other areas are masking full county polygon pic.twitter.com/7YkAXc28h0","['kennethfield', 'usgslandcover']",[],['https://pbs.twimg.com/media/EKEq8q3WoAA0Dpx.jpg'],0,1,9,"['#30daymapchallenge', '#election', '#maps']",[],https://twitter.com/PhilPierdo/status/1198286222914924544,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '20668314', 'username': 'kennethfield'}, {'user_id': '249829509', 'username': 'USGSLandCover'}]",
1198282238204375040,1198282238204375040,1574527723000,2019-11-23,11:48:43,EST,1119202751718645760,vinodhdataart,Vinodh kumar V R,,"#30DayMapChallenge

12- Movement
Tracking a fin whale's movement in a year

""Fin Whale sightings in the gulf of california""

@Mapbox @tableaupublic
viz:  https://public.tableau.com/views/finwhale/Dashboard1?:display_count=y&publish=yes&:origin=viz_share_link … pic.twitter.com/1ZnJ58gKHr","['mapbox', 'tableaupublic']",['https://public.tableau.com/views/finwhale/Dashboard1?:display_count=y&publish=yes&:origin=viz_share_link'],['https://pbs.twimg.com/media/EKEnUm2UYAMRwaa.jpg'],0,0,17,['#30daymapchallenge'],[],https://twitter.com/VinodhDataArt/status/1198282238204375040,False,,0,,,,,,,"[{'user_id': '1119202751718645760', 'username': 'VinodhDataArt'}, {'user_id': '55236002', 'username': 'Mapbox'}, {'user_id': '519769200', 'username': 'tableaupublic'}, {'user_id': '1373519251', 'username': 'BMooreWasTaken'}]",
1198279240732610561,1198278472017293320,1574527008000,2019-11-23,11:36:48,EST,73006865,daniel_avor,Daniel Avila,,"Algo más para el #30DayMapChallenge , creo que aplica para el día 12 ""movimiento"".

Un mapa de ""ruido"" conforme se va moviendo el tren, en la ciudad de #Delft en los #PaísesBajos, hacia la estación; y cómo los edificios y la distancia amortizan, o no, el ruido.

#DataViz #GIS pic.twitter.com/n1UfbVcv43",['cmei_mx'],[],['https://pbs.twimg.com/media/EKEkmAmWkAA3wD7.jpg'],0,0,4,"['#30daymapchallenge', '#delft', '#paísesbajos', '#dataviz', '#gis']",[],https://twitter.com/Daniel_AvOr/status/1198279240732610561,False,,0,,,,,,,"[{'user_id': '73006865', 'username': 'Daniel_AvOr'}, {'user_id': '857951876842758144', 'username': 'CMEI_MX'}]",
1198278472017293320,1198278472017293320,1574526825000,2019-11-23,11:33:45,EST,73006865,daniel_avor,Daniel Avila,,"No sé en que día del #30DayMapChallenge van. La chamba me tiene trabajando como pocas veces en el año.

Les dejo algo que hice hace mucho tiempo sobre el concepto de #UrbanMinning (minería urbana). Algo que además desarrollo ahora con @CMEI_MX para México.

#Leiden CopperStock pic.twitter.com/0zPpJECgTD",['cmei_mx'],[],['https://pbs.twimg.com/media/EKEj485X0AAsKjp.jpg'],1,1,7,"['#30daymapchallenge', '#urbanminning', '#leiden']",[],https://twitter.com/Daniel_AvOr/status/1198278472017293320,False,,0,,,,,,,"[{'user_id': '73006865', 'username': 'Daniel_AvOr'}, {'user_id': '857951876842758144', 'username': 'CMEI_MX'}]",
1198276984989798402,1198272190967402497,1574526470000,2019-11-23,11:27:50,EST,2574612668,hireuter,hannes reuter,,Noticed that several entries uses @EU_Eurostat datasets from the NUTS3 tables or the #efgs 1km grid dataset. Without all these efforts by European national statistical institutes (NSI) these visualisations would not be possible in the #30DayMapChallenge. Kudos to all NSIs....,['eu_eurostat'],[],[],0,0,4,"['#efgs', '#30daymapchallenge']",[],https://twitter.com/hireuter/status/1198276984989798402,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1198272539010764807,1198272539010764807,1574525410000,2019-11-23,11:10:10,EST,257218656,descifra,DESCIFRA,,"Concentración de alumnos en Monterrey
Day 23: Population #30DayMapChallenge
#lovepredictinglocations #BigData pic.twitter.com/Seq2tyH6Jv",[],[],['https://pbs.twimg.com/media/EKEehdrXYAI1bmY.jpg'],0,4,4,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1198272539010764807,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1198272190967402497,1198272190967402497,1574525327000,2019-11-23,11:08:47,EST,2574612668,hireuter,hannes reuter,,#30DayMapChallenge 23. Population - too many ways to vis it - we have in our organisation at least three😉 - each looking a bit different  -data:  https://europa.eu/!VP73kn  -code:  https://bl.ocks.org/jgaffuri/c8b99b207bb80a923bf1fd19f5d6de7e … -contributions @EU_Eurostat E4 team - 7days2go #GISCO pic.twitter.com/LdKka4uGCl,['eu_eurostat'],"['https://europa.eu/!VP73kn', 'https://bl.ocks.org/jgaffuri/c8b99b207bb80a923bf1fd19f5d6de7e']",['https://pbs.twimg.com/media/EKEeM8tXkAcblQX.jpg'],2,4,21,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1198272190967402497,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1198270995792039943,1198270995792039943,1574525042000,2019-11-23,11:04:02,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge Day 23: Population
Tools: @ArcGISPro
Greenland is the least densely populated territory in the world and is home to the 2nd largest ice sheet. Climate change has caused mega-melts, which are causing the ice sheet to shed billions of tons of ice #climatechange pic.twitter.com/MhglN6m4mc",['arcgispro'],[],['https://pbs.twimg.com/media/EKEdHWfXUAMV14c.jpg'],4,8,49,"['#30daymapchallenge', '#climatechange']",[],https://twitter.com/CRVanPollard/status/1198270995792039943,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}]",
1198262255361478656,1198262255361478656,1574522958000,2019-11-23,10:29:18,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,Using @openstreetmap building count as a proxy for #30DayMapChallenge  population map  - overlaid hexagon grids (~1  http://sq.km  area) to show dense blocks in Bengaluru. Grids with > 2.5k buildings - highest is 3584 buildings in a grid - are highlighted in red pic.twitter.com/ZlWIcrySCd,['openstreetmap'],['http://sq.km'],"['https://pbs.twimg.com/media/EKEVKlUU0AAh1e2.jpg', 'https://pbs.twimg.com/media/EKEVKlVVAAAXDbH.png']",0,1,11,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1198262255361478656,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1198262183857131520,1198262183857131520,1574522941000,2019-11-23,10:29:01,EST,1192265670937006080,joanmanuelcoln1,Joan Manuel Colón,,"#30DayMapChallenge
Population
info>
Puerto Rico population density by census tracts (Population per square mile) | D3 Geo + Carto-Linux-Cli (Thanks Mike Bostock for the inspiration!) pic.twitter.com/4MLaMVdEo3",[],[],['https://pbs.twimg.com/media/EKEVFWFXUAAmDDs.jpg'],0,1,2,['#30daymapchallenge'],[],https://twitter.com/JoanManuelColn1/status/1198262183857131520,False,,0,,,,,,,"[{'user_id': '1192265670937006080', 'username': 'JoanManuelColn1'}]",
1198260482890706949,1198260482890706949,1574522536000,2019-11-23,10:22:16,EST,2679909391,popelnuhh,Zlata Popelnuh,,#30DayMapChallenge Day 23: Population. Number of people over 90 in Scottish Local Authorities. pic.twitter.com/LsnCi8XxPX,[],[],['https://pbs.twimg.com/media/EKETcCwWoAUdWIx.png'],0,2,4,['#30daymapchallenge'],[],https://twitter.com/popelnuhh/status/1198260482890706949,False,,0,,,,,,,"[{'user_id': '2679909391', 'username': 'popelnuhh'}]",
1198259921021739009,1198259921021739009,1574522402000,2019-11-23,10:20:02,EST,27186708,jccpmx,Carlos Cortés,,"Estado que más produce maíz, más cara la tortilla...
#30DayMapChallenge Places pic.twitter.com/IYezeF1Cew",[],[],['https://pbs.twimg.com/media/EKETC7_WsAAeHh6.jpg'],0,6,23,['#30daymapchallenge'],[],https://twitter.com/jccpmx/status/1198259921021739009,False,,0,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1198259757678813184,1198259757678813184,1574522363000,2019-11-23,10:19:23,EST,32283900,borismericskay,Boris Mericskay,,"#30DayMapChallenge 23. Population

✅Breakdown of the population of Rennes at the scale of the buildings / Made with #ArcgisPRO #ModeBuilder 😁

Population>IRIS @InseeFr / Buildings>BDTOPO @IGNFrance

cc @Stan_Esri @Gaetan_LAVENU @Esri_France pic.twitter.com/bwNUbNQVZU","['inseefr', 'ignfrance', 'stan_esri', 'gaetan_lavenu', 'esri_france']",[],['https://pbs.twimg.com/media/EKES2CDXYAgGJYK.jpg'],1,4,22,"['#30daymapchallenge', '#arcgispro', '#modebuilder']",[],https://twitter.com/BorisMericskay/status/1198259757678813184,False,,0,,,,,,,"[{'user_id': '32283900', 'username': 'BorisMericskay'}, {'user_id': '217473382', 'username': 'InseeFr'}, {'user_id': '57276576', 'username': 'IGNFrance'}, {'user_id': '723065554110574592', 'username': 'Stan_Esri'}, {'user_id': '100962165', 'username': 'Gaetan_LAVENU'}, {'user_id': '57448920', 'username': 'Esri_France'}]",
1198258374686711809,1198258374686711809,1574522033000,2019-11-23,10:13:53,EST,343928585,undertheraedar,Alasdair Rae,,"Population chunks of South America

- small contribution to #30DayMapChallenge from me - a bit of population data + Aerialod, with a bit of text pic.twitter.com/bzCmef4iew",[],[],['https://pbs.twimg.com/media/EKERoPKXsAEnjS7.jpg'],5,67,283,['#30daymapchallenge'],[],https://twitter.com/undertheraedar/status/1198258374686711809,False,,0,,,,,,,"[{'user_id': '343928585', 'username': 'undertheraedar'}]",
1198247088217346053,1198247088217346053,1574519342000,2019-11-23,09:29:02,EST,2205978287,alsuhailfaris,Faris Alsuhail,,Population. Revisiting one of old research themes from my urban research days: single households in Helsinki. #30DayMapChallenge #aluesarjat #yksinasuminen #helsinki #asuminen #väestö #population pic.twitter.com/R2gVv9ISJQ,[],[],['https://pbs.twimg.com/media/EKEHX0sW4AA7Nij.jpg'],0,1,5,"['#30daymapchallenge', '#aluesarjat', '#yksinasuminen', '#helsinki', '#asuminen', '#väestö', '#population']",[],https://twitter.com/AlsuhailFaris/status/1198247088217346053,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}]",
1198245333630894080,1198245333630894080,1574518924000,2019-11-23,09:22:04,EST,77265423,ijturton,Ian Turton,,"Day 23 Population for #30DayMapChallenge - some small multiples of 2011 Population distribution of England and Wales by age group. Watch people age and move out of the cities.

Trying for a Pop-Art effect but not sure it really works for districts. pic.twitter.com/J5lz3u6WTw",[],[],['https://pbs.twimg.com/media/EKEFofJWoAA7V3u.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ijturton/status/1198245333630894080,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1198240241620078592,1198240241620078592,1574517710000,2019-11-23,09:01:50,EST,17448121,cadcorp,Cadcorp,,"#30DayMapChallenge - Day 23 - Population. Population Density from LSOA Attributes. @OrdnanceSurvey #Zoomstack as background, Hotspot generated in #SIS9 weighted with points based on population within LSOA boundary #GIS pic.twitter.com/c7cpEpzoJY",['ordnancesurvey'],[],['https://pbs.twimg.com/media/EKEBJbIWsAEBW6_.png'],0,1,6,"['#30daymapchallenge', '#zoomstack', '#sis9', '#gis']",[],https://twitter.com/cadcorp/status/1198240241620078592,False,,0,,,,,,,"[{'user_id': '17448121', 'username': 'cadcorp'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}]",
1198240042315079686,1198240042315079686,1574517662000,2019-11-23,09:01:02,EST,22146490,joriseekhout,Joris Eekhout,,This morning I could not upload the animated gif. But here it is as it should be #30DayMapChallenge  https://twitter.com/JorisEekhout/status/1198164690578350080 … pic.twitter.com/VPLXzMWyFt,[],['https://twitter.com/JorisEekhout/status/1198164690578350080'],[],0,0,3,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1198240042315079686,False,,1,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1198233487754629120,1198233487754629120,1574516100000,2019-11-23,08:35:00,EST,276280627,pnelson917,Patrick Nelson,,"Day 23 of the #30DayMapChallenge :  Population…Populations density data overlaid with the world at night.  23 Days in, having to recycle a few layers utilization here and there.  #IMNOS pic.twitter.com/tDcyM7f8s3",[],[],['https://pbs.twimg.com/media/EJnhsnEW4AM0E6y.jpg'],1,0,6,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1198233487754629120,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}]",
1198228171176521728,1198228171176521728,1574514832000,2019-11-23,08:13:52,EST,5685812,hrbrmstr,boB Rudis,,"Since I live in a loony state I charted 2018 Maine loon population counts for today's #30DayMapChallenge in #rstats {sf} using data from the @MaineAudubon society (I told ya we're a pretty loony state).

Code (as usual):  http://git.rud.is/hrbrmstr/y2019-30daymapchallenge … + all the social coding sites pic.twitter.com/ciCpHpiu7N",['maineaudubon'],['http://git.rud.is/hrbrmstr/y2019-30daymapchallenge'],['https://pbs.twimg.com/media/EKD2KxlWwAANUOW.jpg'],1,2,15,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1198228171176521728,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}, {'user_id': '86996633', 'username': 'MaineAudubon'}]",
1198222191894171648,1198222191894171648,1574513407000,2019-11-23,07:50:07,EST,17448121,cadcorp,Cadcorp,,"#30DayMapChallenge - Day 23, population from @ian_usher1985. 2.1million, 1km grid squares showing population density across europe. Data source is @EU_Eurostat #CadcorpSIS #GIS pic.twitter.com/0VyDZS3Ssy","['ian_usher1985', 'eu_eurostat']",[],['https://pbs.twimg.com/media/EKDwu7iXUAEkQHB.jpg'],0,1,5,"['#30daymapchallenge', '#cadcorpsis', '#gis']",[],https://twitter.com/cadcorp/status/1198222191894171648,False,,0,,,,,,,"[{'user_id': '17448121', 'username': 'cadcorp'}, {'user_id': '92832101', 'username': 'ian_usher1985'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1198214917070954499,1195817786829889537,1574511672000,2019-11-23,07:21:12,EST,706158714995269632,pivaurelien,Aurélien,,"Jour 23 - Population - #30DayMapChallenge

Les résistances de la population locale contre les mesures anti-congréganistes dans le #Morbihan (1902-1904). pic.twitter.com/9h98G2YM9a",[],[],['https://pbs.twimg.com/media/EKDqG3BX0AAsISk.jpg'],1,0,2,"['#30daymapchallenge', '#morbihan']",[],https://twitter.com/pivaurelien/status/1198214917070954499,False,,0,,,,,,,"[{'user_id': '706158714995269632', 'username': 'pivaurelien'}]",
1198211352051036162,1198211352051036162,1574510822000,2019-11-23,07:07:02,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 23 - Population

I took the population of England and Wales at a household level and found the nearest pub for each person. This shows the busiest pub per county with the queue outside visualised as a line (1 metre per person). Table shows top 10. pic.twitter.com/EOmHhFXKsO",[],[],['https://pbs.twimg.com/media/EKDmvEgWkAAZZ_q.jpg'],2,4,15,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1198211352051036162,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1198210838882070534,1198210838882070534,1574510700000,2019-11-23,07:05:00,EST,1454843694,onestopmap,One Stop Map,,"Not my map, but when I saw the #30DayMapChallenge theme “population” I immediately thought of this @NatGeoMaps map of Northern Canada, probably early 1970s, where somebody had written in red pencil “there’s 20 people living here” next to Reliance, NT #lovemaps #cartography pic.twitter.com/n6R9yveNZF",['natgeomaps'],[],"['https://pbs.twimg.com/media/EJ-YgxwW4AInnuo.jpg', 'https://pbs.twimg.com/media/EJ-YgxxXUAAhYUC.jpg']",0,1,5,"['#30daymapchallenge', '#lovemaps', '#cartography']",[],https://twitter.com/onestopmap/status/1198210838882070534,False,,0,,,,,,,"[{'user_id': '1454843694', 'username': 'onestopmap'}, {'user_id': '33933023', 'username': 'NatGeoMaps'}]",
1198210274517536769,1198210274517536769,1574510565000,2019-11-23,07:02:45,EST,285268642,pj_go_2020,PJ #GISTonicker,"Madonna del Sasso, Piemonte",Day 23 #population #30DayMapChallenge pic.twitter.com/DvDQ6vp0qx,[],[],"['https://pbs.twimg.com/media/EKDl4a7WkAAEa-7.jpg', 'https://pbs.twimg.com/media/EKDl5EiW4AQ40Q8.jpg']",0,0,9,"['#population', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1198210274517536769,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1198209261723144203,1198209261723144203,1574510324000,2019-11-23,06:58:44,EST,3552542476,sannajokela1,Sanna Jokela,,"#30DayMapChallenge Day 23. Population balls. Data: Natural Earth. Population data is boring without accurate and precise information. In Finland open data is aggregated to municipal borders, 250*250 m grid also exists, but it costs. 100*100 m grid only for research. pic.twitter.com/uJhUq9mvrZ",[],[],['https://pbs.twimg.com/media/EKDk7e1X0AA-caP.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1198209261723144203,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}]",
1198208598477811717,1198208598477811717,1574510166000,2019-11-23,06:56:06,EST,1134609998980370432,visualizemap,visualizemap,,Origines géographiques des immigrés en France : une cartographie pour analyser d’où provient près de 10% de la population française. #30DayMapChallenge @InseeFr  http://bit.ly/34ermbH  pic.twitter.com/Q2sPSDJL3z,['inseefr'],['http://bit.ly/34ermbH'],['https://pbs.twimg.com/media/EKDkTBfX0AQCk2T.jpg'],1,15,30,['#30daymapchallenge'],[],https://twitter.com/visualizemap/status/1198208598477811717,False,,0,,,,,,,"[{'user_id': '1134609998980370432', 'username': 'visualizemap'}, {'user_id': '217473382', 'username': 'InseeFr'}]",
1198202984150261760,1198202984150261760,1574508827000,2019-11-23,06:33:47,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day 23: Population
In-place inhabitants share relating to population, Rhône and Loire departments pic.twitter.com/2W3kWp0NE3",[],[],['https://pbs.twimg.com/media/EKDfQyeXUAARkOL.jpg'],0,1,3,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1198202984150261760,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}]",
1198199331288952837,1198199331288952837,1574507956000,2019-11-23,06:19:16,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge Día 23: Population
Mapa de la provincia de #CartagenaDeIndias [#Colombia], realizado por Juan López, año 1787. Comprende los departamentos de Córdoba, Sucre y Atlántico e inserta un Plano-tipo de las nuevas poblaciones. Archivo de #Simancas pic.twitter.com/uhJKKN8cHM",[],[],"['https://pbs.twimg.com/media/EKDbveTWoAAIFux.jpg', 'https://pbs.twimg.com/media/EKDb8MvWsAUVG1h.jpg']",0,4,9,"['#30daymapchallenge', '#cartagenadeindias', '#colombia', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1198199331288952837,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1198198050277212160,1198198050277212160,1574507651000,2019-11-23,06:14:11,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
Map_23 Populatation

Mi post
@iagua
 de esta semana fué
Catalunya Rural y el agua

He generado un nuevo mapa con la Población de Catalunya
 https://iagua.es/blogs/ignasi-servia-goixart/catalunya-rural-y-agua … pic.twitter.com/Zo0Iwaf5G5",['iagua'],['https://iagua.es/blogs/ignasi-servia-goixart/catalunya-rural-y-agua'],['https://pbs.twimg.com/media/EKDaxXvXUAA82zD.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1198198050277212160,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}]",
1198197500504621057,1198197500504621057,1574507520000,2019-11-23,06:12:00,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 23. Population

Women outnumber men in the EU (262m 👩🏻 versus 251m 👨🏻), but which regions stand out if we look at the male-female-ratio?

(Psst..This map might be quite handy if you're single 😉)

Interactive version 👉🏻  https://t.localfocus.nl/?2333814  pic.twitter.com/RIJNVwKdPk",[],['https://t.localfocus.nl/?2333814'],['https://pbs.twimg.com/media/EJ_Q3SNW4AAfvVV.jpg'],3,6,5,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1198197500504621057,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1198195808333651974,1198195808333651974,1574507116000,2019-11-23,06:05:16,EST,414943174,benfriin,Ben,,"Day 23 of #30DayMapChallenge - Population

Répartition de la population en France
#insee #pop #france @InseeFr #OpenData pic.twitter.com/QQtefdc8Zf",['inseefr'],[],['https://pbs.twimg.com/media/EKDYuyFWwAE3fu6.jpg'],1,4,8,"['#30daymapchallenge', '#insee', '#pop', '#france', '#opendata']",[],https://twitter.com/benfriin/status/1198195808333651974,False,,0,,,,,,,"[{'user_id': '414943174', 'username': 'benfriin'}, {'user_id': '217473382', 'username': 'InseeFr'}]",
1198195556939640832,1198026737231290373,1574507056000,2019-11-23,06:04:16,EST,2706899486,sidounours,Michel Ney 🗺️💈,,#30DayMapChallenge,"['pyxxxxa', 'asterixpatriote', '_olbag', 'tomntsbzd', 'kimjongunique']",[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/sidounours/status/1198195556939640832,False,,0,,,,,,,"[{'user_id': '2706899486', 'username': 'sidounours'}, {'user_id': '2892368920', 'username': 'Pyxxxxa'}, {'user_id': '838497180717629441', 'username': 'AsterixPatriote'}, {'user_id': '950473626', 'username': '_Olbag'}, {'user_id': '2493263548', 'username': 'tomntsbzd'}, {'user_id': '3230914433', 'username': 'KimJongUnique'}]",
1198187059044737024,1198187059044737024,1574505030000,2019-11-23,05:30:30,EST,800277926348324864,arnold_platon,Arnold Platon,,Day. 22 - Built Environment of Oradea🇷🇴 - a older gif I created based on old maps - #30DayMapChallenge 🏙️ pic.twitter.com/zv25Lc4ip1,[],[],[],0,2,11,['#30daymapchallenge'],[],https://twitter.com/Arnold_Platon/status/1198187059044737024,False,,1,,,,,,,"[{'user_id': '800277926348324864', 'username': 'Arnold_Platon'}]",
1198187011108200449,1198187011108200449,1574505019000,2019-11-23,05:30:19,EST,140068360,geomniuk,GeomniUK,,"Day 23 of the #30DayMapChallenge - Population

This map shows the density of residential dwellings in each of the London Boroughs.

The lighter the shade, the less densely populated.

White = less than 2000 dwellings
Dark blue = more than 12,000 dwellings pic.twitter.com/qmJmR5FnJR",[],[],['https://pbs.twimg.com/media/EKDQvF7X0AASNhX.jpg'],0,2,2,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1198187011108200449,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1198185240885370880,1198185240885370880,1574504597000,2019-11-23,05:23:17,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge

Map_22 Built Environment

Voltants del Embassament de l'Albagés.  #2019

El model 2x2 de @ICGCat no recull la pressa. pic.twitter.com/gn6gqoZFDt",['icgcat'],[],"['https://pbs.twimg.com/media/EKDPHYlXUAIjDqI.jpg', 'https://pbs.twimg.com/media/EKDPHYoWwAA-P-n.jpg', 'https://pbs.twimg.com/media/EKDPHYmXUAAz0EJ.jpg']",0,0,1,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1198185240885370880,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '83170609', 'username': 'ICGCat'}]",
1198183156299513856,1198183156299513856,1574504100000,2019-11-23,05:15:00,EST,1499547780,heikkivesanto,Heikki Vesanto,,Dublin population by nationality #30DayMapChallenge #Day23 #Population pic.twitter.com/HX3toiBU0R,[],[],"['https://pbs.twimg.com/media/EJ_FIxWXYAAkQt9.jpg', 'https://pbs.twimg.com/media/EJ_FIyDXsAM8NLB.jpg']",5,10,47,"['#30daymapchallenge', '#day23', '#population']",[],https://twitter.com/HeikkiVesanto/status/1198183156299513856,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1198177541502189569,1198177541502189569,1574502761000,2019-11-23,04:52:41,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 23. Population

Women's cities and men's countryside, the sex ratio in France

Made with #QGIS pic.twitter.com/NlkSi3yOVB",[],[],['https://pbs.twimg.com/media/EKDIBopXkAcfsha.jpg'],5,56,172,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1198177541502189569,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1198173202993893376,1198173202993893376,1574501727000,2019-11-23,04:35:27,EST,17242884,maartenzam,Maarten Lambrechts,,"Yesterday’s #30DayMapChallenge was a latenighter, but also a lot of fun :) https://twitter.com/maartenzam/status/1198031814692089858 …",[],['https://twitter.com/maartenzam/status/1198031814692089858'],[],0,0,18,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1198173202993893376,False,https://twitter.com/maartenzam/status/1198031814692089858,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}]",
1198170824768778241,1198170824768778241,1574501160000,2019-11-23,04:26:00,EST,818083243018907648,regxaardeo,Reĝa Ardeo,,Kvanto de aliĝintoj al UK-oj (ekde 1980) #Esperanto #30DayMapChallenge Tago 23 : Population pic.twitter.com/y0eC9FgcdO,[],[],['https://pbs.twimg.com/media/EJ59hJHXYAE3uR0.jpg'],0,0,2,"['#esperanto', '#30daymapchallenge']",[],https://twitter.com/RegxaArdeo/status/1198170824768778241,False,,0,,,,,,,"[{'user_id': '818083243018907648', 'username': 'RegxaArdeo'}]",
1198167409942765568,1198167409942765568,1574500346000,2019-11-23,04:12:26,EST,2548848856,knozi1,g.katz,"Vienna, Austria","#30DayMapChallenge Day 23: Total Population in Austria by 250m Statistical Grid   #STATatlas @STATISTIK_AT  https://www.statistik.at/atlas/?mapid=them_bevoelkerung_bevoelkerungsstand&layerid=layer1&sublayerid=sublayer2&languageid=1&bbox=1832049,6141610,1841222,6146736,15 … pic.twitter.com/U0pzVy0tBd",['statistik_at'],"['https://www.statistik.at/atlas/?mapid=them_bevoelkerung_bevoelkerungsstand&layerid=layer1&sublayerid=sublayer2&languageid=1&bbox=1832049,6141610,1841222,6146736,15']",[],0,0,1,"['#30daymapchallenge', '#statatlas']",[],https://twitter.com/knozi1/status/1198167409942765568,False,,1,,,,,,,"[{'user_id': '2548848856', 'username': 'knozi1'}, {'user_id': '2483418230', 'username': 'STATISTIK_AT'}]",
1198164690578350080,1198164690578350080,1574499697000,2019-11-23,04:01:37,EST,22146490,joriseekhout,Joris Eekhout,,"Day 23 (population): The population in the Mediterranean has steadily increased in the last 20 years. However, there are also areas where population density is decreasing, like in rural areas in Turkey #30DayMapChallenge pic.twitter.com/vOf959dL5N",[],[],[],1,0,8,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1198164690578350080,False,,1,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1198164158648209408,1198164158648209408,1574499570000,2019-11-23,03:59:30,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 23 of #30DayMapChallenge: population

Ethnic diversity in #Christchurch at the meshblock level. Herfindahl Index, lower is more diverse.

Data from @StatisticsNZ 2013 Census  https://datafinder.stats.govt.nz/layer/8448-ethnic-group-by-meshblock-2013-census/data/ … + #Rstats.

Code:  https://gist.github.com/zentree/76a98a145f41824135a1d75169646600 … pic.twitter.com/Mpb3pbfV2B",['statisticsnz'],"['https://datafinder.stats.govt.nz/layer/8448-ethnic-group-by-meshblock-2013-census/data/', 'https://gist.github.com/zentree/76a98a145f41824135a1d75169646600']",['https://pbs.twimg.com/media/EKC78JWUcAMZ8nQ.jpg'],1,1,7,"['#30daymapchallenge', '#christchurch', '#rstats']",[],https://twitter.com/zentree/status/1198164158648209408,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}, {'user_id': '780297569557618689', 'username': 'StatisticsNZ'}]",
1198163135544397824,1198163135544397824,1574499326000,2019-11-23,03:55:26,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 23. Population: Estonian population per square km during the day and night (estimation) ☀️According to the @eestistatistika estimation approx 109 000 people commute to the cities over the day 🚗🚃🏬 The total population of Estonia is only 1.3 million people pic.twitter.com/MV87vdb7fn,['eestistatistika'],[],[],4,18,62,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1198163135544397824,False,,1,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}, {'user_id': '90633131', 'username': 'eestistatistika'}]",
1198156247939387393,1198156247939387393,1574497684000,2019-11-23,03:28:04,EST,43953969,jwolondon,Jo Wood,,"Day 23:: Population

Land area is a poor basis for choropleth mapping of population. Here are population weighted cartograms compared with conventional choropleths for US presidential elections since 1972.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d23Population.md …
#30DayMapChallenge pic.twitter.com/0i90pAdWyG",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d23Population.md'],['https://pbs.twimg.com/media/EKC0wMEXYAIy7Y2.jpg'],2,2,20,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1198156247939387393,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1198149482375979009,1198149482375979009,1574496071000,2019-11-23,03:01:11,EST,65125461,bplmaps,Leventhal Map & Education Center at the BPL,,"It's #NativeAmericanHeritageMonth and #population day of the #30daymapchallenge: here's a map that combines them. Many maps published in the 1890s depicted Indian reservations, but this map recognized that Native people originally controlled and inhabited all of North America. pic.twitter.com/VDFzAlhpUv",[],[],['https://pbs.twimg.com/media/EKCudjTX0AY49ZC.png'],1,12,29,"['#nativeamericanheritagemonth', '#population', '#30daymapchallenge']",[],https://twitter.com/bplmaps/status/1198149482375979009,False,,0,,,,,,,"[{'user_id': '65125461', 'username': 'bplmaps'}]",
1198138095608008704,1198138095608008704,1574493356000,2019-11-23,02:15:56,EST,1119202751718645760,vinodhdataart,Vinodh kumar V R,,"#30DayMapChallenge

3 - Polygons

""Amazon River Basin"" viewed as a polygon

@Mapbox @tableaupublic

viz:  https://public.tableau.com/views/Amazonbasin-Polygon/Dashboard1?:display_count=y&publish=yes&:origin=viz_share_link … pic.twitter.com/AYeCPLNHkn","['mapbox', 'tableaupublic']",['https://public.tableau.com/views/Amazonbasin-Polygon/Dashboard1?:display_count=y&publish=yes&:origin=viz_share_link'],['https://pbs.twimg.com/media/EKCkPOaUEAAjwbR.jpg'],0,0,7,['#30daymapchallenge'],[],https://twitter.com/VinodhDataArt/status/1198138095608008704,False,,0,,,,,,,"[{'user_id': '1119202751718645760', 'username': 'VinodhDataArt'}, {'user_id': '55236002', 'username': 'Mapbox'}, {'user_id': '519769200', 'username': 'tableaupublic'}, {'user_id': '1373519251', 'username': 'BMooreWasTaken'}]",
1198133376638537728,1198133376638537728,1574492231000,2019-11-23,01:57:11,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 23 of #30DayMapChallenge – Population:

Tonight’s population of Trestle View Campsite pic.twitter.com/ng3X6foVIJ",[],[],['https://pbs.twimg.com/media/EKCf8wXUEAEfNL9.jpg'],2,0,10,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1198133376638537728,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1198132791185043456,1198132791185043456,1574492092000,2019-11-23,01:54:52,EST,14851579,_kyliejane,Kylie Wilson,,"Day 14 boundaries #30dayMapChallenge How many do we really need? There's so many more, so chose one of each of the official categories I could think of. pic.twitter.com/1h210LN6Vb",[],[],['https://pbs.twimg.com/media/EKCfaNBUYAAEtza.jpg'],0,0,6,['#30daymapchallenge'],[],https://twitter.com/_kyliejane/status/1198132791185043456,False,,0,,,,,,,"[{'user_id': '14851579', 'username': '_kyliejane'}]",
1198132634213343233,1198132634213343233,1574492054000,2019-11-23,01:54:14,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
Day 23: Population
Gridded Population of the World (GPW), v4

 https://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-count-rev11/data-download … pic.twitter.com/cbfw5oZsl2",[],['https://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-count-rev11/data-download'],['https://pbs.twimg.com/media/EKCfRVVWsAAlis0.png'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/SergioIbarraEs1/status/1198132634213343233,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1198130275248726016,1198130275248726016,1574491492000,2019-11-23,01:44:52,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
day 22: Build environment
Venezuela Square
Built, built and destroyed pic.twitter.com/43H3GcB4Nk",[],[],"['https://pbs.twimg.com/media/EKCdEI7WsAU9qS7.jpg', 'https://pbs.twimg.com/media/EKCdEI9WkAAqapN.jpg']",0,0,1,['#30daymapchallenge'],[],https://twitter.com/SergioIbarraEs1/status/1198130275248726016,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1198128716779573248,1198128716779573248,1574491120000,2019-11-23,01:38:40,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
Day 21: Environment
Plaza Italia and Plaza `dignidad` pic.twitter.com/f4qjuM8AUQ",[],[],"['https://pbs.twimg.com/media/EKCbp-7XYAAxfQu.jpg', 'https://pbs.twimg.com/media/EKCbp-8XkAIG_Xx.jpg']",0,0,0,['#30daymapchallenge'],[],https://twitter.com/SergioIbarraEs1/status/1198128716779573248,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1198126029489016834,1198126029489016834,1574490480000,2019-11-23,01:28:00,EST,138083232,swiss_geoportal,geo.admin.ch,,[EN] Zone plans for emergency planning (polygons) in the vicinity of #nuclear #facilities  zones 1 and 2 . #Population in person/ha (red- orange squares)   https://s.geo.admin.ch/85b02fedb0  by @ENSI_CH @StatSchweiz #30DayMapChallenge pic.twitter.com/LYrd5U47yt,"['ensi_ch', 'statschweiz']",['https://s.geo.admin.ch/85b02fedb0'],['https://pbs.twimg.com/media/EJwSDRfXUAA_pAN.jpg'],0,0,5,"['#nuclear', '#facilities', '#population', '#30daymapchallenge']",[],https://twitter.com/swiss_geoportal/status/1198126029489016834,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '306134980', 'username': 'ENSI_CH'}, {'user_id': '67978031', 'username': 'StatSchweiz'}]",
1198124788641742848,1198124788641742848,1574490184000,2019-11-23,01:23:04,EST,105407287,saint_gis,SRG,,"@tjukanov #30DayMapChallenge Day 23-Population
@ppyramidnet Top 25 #Countries by population #2018
visualization using @googleearth generated using #fme
@SafeSoftware pic.twitter.com/oWvHhhCbFV","['tjukanov', 'ppyramidnet', 'googleearth', 'safesoftware']",[],['https://pbs.twimg.com/media/EKCYHtyUYAAPZo4.jpg'],0,0,0,"['#30daymapchallenge', '#countries', '#fme']",[],https://twitter.com/Saint_GIS/status/1198124788641742848,False,,0,,,,,,,"[{'user_id': '105407287', 'username': 'Saint_GIS'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '761524901551411200', 'username': 'ppyramidnet'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '18857808', 'username': 'SafeSoftware'}]",
1198123216910372864,1198123216910372864,1574489809000,2019-11-23,01:16:49,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
Day 20: Rural
highest Ozone concentrations are generated in rural areas actually in Sao Paulo state, following the wind flow
 http://www.lapat.iag.usp.br/aerossol/wrf9/index.php …
#atmoschem #wrfchem pic.twitter.com/Q3iPa4nRuN",[],['http://www.lapat.iag.usp.br/aerossol/wrf9/index.php'],['https://pbs.twimg.com/media/EKCWs8FWsAArqII.png'],0,0,0,"['#30daymapchallenge', '#atmoschem', '#wrfchem']",[],https://twitter.com/SergioIbarraEs1/status/1198123216910372864,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1198120867693117441,1198120867693117441,1574489249000,2019-11-23,01:07:29,EST,841465160187428866,fritzgis,Diane Fritz ❄️🚲🐕,,"Day 1 ... er, 22 of the #30daymapchallenge: Built Environments! Threw this silliness together quickly except for the part where I *may* have done some building digitization. Used #OSM #qgis and briefly,  http://geojson.io . pic.twitter.com/VwD3jcxfEj",[],['http://geojson.io'],['https://pbs.twimg.com/media/EKCUk6xVAAEwW6b.png'],1,0,3,"['#30daymapchallenge', '#osm', '#qgis']",[],https://twitter.com/fritzGIS/status/1198120867693117441,False,,0,,,,,,,"[{'user_id': '841465160187428866', 'username': 'fritzGIS'}]",
1198109452504911872,1190472318885208064,1574486527000,2019-11-23,00:22:07,EST,237889929,denisedslu,ಠ_ಠ,,Day 21 of #30DayMapChallenge – Environment. Here’s a Pennsylvania soil map (tangentially food-related because it could be used for farming??) pic.twitter.com/FoSJ71SIVb,[],[],['https://pbs.twimg.com/media/EKCJzpbXYAATGHm.jpg'],2,1,13,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1198109452504911872,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1198099208810745856,1198099208810745856,1574484085000,2019-11-22,23:41:25,EST,359015182,7javier6,Javier,,#30DayMapChallenge day 22 Built environment. Orwell’s dystopian World. @ddiazescandon pic.twitter.com/0iYvdQ7LYU,['ddiazescandon'],[],['https://pbs.twimg.com/media/EKCA3UUXsAAHf5V.jpg'],1,1,2,['#30daymapchallenge'],[],https://twitter.com/7Javier6/status/1198099208810745856,False,,0,,,,,,,"[{'user_id': '359015182', 'username': '7Javier6'}, {'user_id': '85232878', 'username': 'ddiazescandon'}]",
1198094371091963904,1198094371091963904,1574482932000,2019-11-22,23:22:12,EST,48219656,alexgleith,Alex Leith,,"#30DayMapChallenge Day 22: Built Environment. This one is a bit low effort, but I worked on a nice interactive urban planning web app a couple of years ago using MapboxGL JS and a bunch of fancy research. Lego simplicity + high quality science makes for a fun way to plan change! pic.twitter.com/XS0VzI1ldK",[],[],['https://pbs.twimg.com/media/EKB8eMMUwAEg7PW.jpg'],0,1,15,['#30daymapchallenge'],[],https://twitter.com/alexgleith/status/1198094371091963904,False,,0,,,,,,,"[{'user_id': '48219656', 'username': 'alexgleith'}]",
1198092355196399619,1198092355196399619,1574482451000,2019-11-22,23:14:11,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 23: Population
Salton City, California...A population that never came. They built it for 40,000 and no one showed up!
#gis #geography #geographyteacher #cartography #maps #map #Saltonsea #saltoncity pic.twitter.com/R1SNCTnZqD",[],[],['https://pbs.twimg.com/media/EKB6mJCWkAAX7DK.jpg'],0,6,27,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#saltonsea', '#saltoncity']",[],https://twitter.com/my_physical/status/1198092355196399619,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1198087521143386112,1198087521143386112,1574481299000,2019-11-22,22:54:59,EST,14851579,_kyliejane,Kylie Wilson,,Day 13 tracks #30dayMapChallenge is a mess. I had grand plans of making a lovely walking tracks of Sydney map but omg the data. I had to give up else I'd be here until next November 😂 (This is one I want to do properly when I've more time). pic.twitter.com/84SooHQrf4,[],[],['https://pbs.twimg.com/media/EKB2PRPUYAAbI3V.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/_kyliejane/status/1198087521143386112,False,,0,,,,,,,"[{'user_id': '14851579', 'username': '_kyliejane'}]",
1198060361628340225,1198060361628340225,1574474823000,2019-11-22,21:07:03,EST,2606576396,thoughtfulnz,David Hood,,"For day 23 of #30DayMapChallenge
A population map of NZ map makers in 2013 (census data)

code, such as it is, at  https://github.com/thoughtfulbloke/november19_maps … pic.twitter.com/OsgHM9CrjC",[],['https://github.com/thoughtfulbloke/november19_maps'],['https://pbs.twimg.com/media/EKBdi1QVAAMDGi4.jpg'],1,0,6,['#30daymapchallenge'],[],https://twitter.com/Thoughtfulnz/status/1198060361628340225,False,,0,,,,,,,"[{'user_id': '2606576396', 'username': 'Thoughtfulnz'}]",
1198036608559255558,1198036608559255558,1574469160000,2019-11-22,19:32:40,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 20 - Rural: This is eastern Montana, where I mapped out drive times to Dr. Joan Dickson, the only psychiatrist between Billings and Bismarck, according to @patriotact. Each contour is 30 minutes driving from her practice in Glendive, MT. (1/3) pic.twitter.com/VYGPgnPwSM",['patriotact'],[],['https://pbs.twimg.com/media/EKBH5VPWoAIgzwj.jpg'],1,1,8,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1198036608559255558,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}, {'user_id': '1016415942148947968', 'username': 'patriotact'}]",
1198033052905197568,1198033052905197568,1574468312000,2019-11-22,19:18:32,EST,269294137,michelstuyts,Michel Stuyts 🌍,"La Neuville-aux-Joûtes, France",#30DayMapChallenge day 23: a 3D #population map of @GemeenteEdegem // #MadeWithQGIS pic.twitter.com/4kJBsy0uqz,['gemeenteedegem'],[],[],1,0,5,"['#30daymapchallenge', '#population', '#madewithqgis']",[],https://twitter.com/michelstuyts/status/1198033052905197568,False,,1,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '1263893670', 'username': 'GemeenteEdegem'}]",
1198032886374584321,1198032886374584321,1574468273000,2019-11-22,19:17:53,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 19. Urban
For the urban day i reshaped the 2015 map of cities accessibility, to show only the areas where the nearest city is <=2 hours away

data&quotes:  https://www.nature.com/articles/nature25181 …
 https://map.ox.ac.uk/research-project/accessibility_to_cities/ …
#maps #rstats #sdg11 #development #urban #cities pic.twitter.com/JYK3HYN2A7",[],"['https://www.nature.com/articles/nature25181', 'https://map.ox.ac.uk/research-project/accessibility_to_cities/']",['https://pbs.twimg.com/media/EKBEjWOW4AMs1eR.jpg'],0,3,11,"['#30daymapchallenge', '#maps', '#rstats', '#sdg11', '#development', '#urban', '#cities']",[],https://twitter.com/bettermeasured/status/1198032886374584321,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}, {'user_id': '3327192515', 'username': 'MalariaAtlas'}, {'user_id': '2811204742', 'username': 'SWAC_OECD'}]",
1198031814692089858,1190253562267340800,1574468017000,2019-11-22,19:13:37,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 22 (built environment): Building heights in the city of Diest, in 3D (my new house is somewhere in there)  http://www.maartenlambrechts.com/assets/images/mapchallenge/qgisthreejs/index.html … (watch out: heavy page!) pic.twitter.com/fH5qXjmKIU","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper']",['http://www.maartenlambrechts.com/assets/images/mapchallenge/qgisthreejs/index.html'],['https://pbs.twimg.com/media/EKBDk5DXUAALwXf.jpg'],2,2,39,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1198031814692089858,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}]",
1198018516038963200,1198018516038963200,1574464846000,2019-11-22,18:20:46,EST,257218656,descifra,DESCIFRA,,"Nivel de urbanización #CDMX y alrededores.
Day 22: Built  Environment #30DayMapChallenge
#lovepredictinglocations #BigData pic.twitter.com/viOIhtjPiq",[],[],['https://pbs.twimg.com/media/EKA3fbwWwAAsPmT.png'],0,2,4,"['#cdmx', '#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1198018516038963200,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1198017800998182914,1198017800998182914,1574464676000,2019-11-22,18:17:56,EST,2239825712,iiegj,IIEG Jalisco,,#30DayMapChallenge  Día 22. Edificación. Aquí se puede ver cómo se ha edificado en la zona bajío de los años 1996 al 2019. pic.twitter.com/r7K5yFJ94v,[],[],[],0,6,13,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1198017800998182914,False,,1,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1198016343414595586,1198016343414595586,1574464328000,2019-11-22,18:12:08,EST,13215962,jerry_shannon,Jerry Shannon,,"#30DayMapChallenge day 22: built environment. Here's all SNAP-authorized small retailers in New York City. There's a broad range of stores included in this mix, but the list on the map just about covers it. Map done in @qgis. pic.twitter.com/uGRaRjbPRs",['qgis'],[],['https://pbs.twimg.com/media/EKA1gV5XsAEIZ3k.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/jerry_shannon/status/1198016343414595586,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}, {'user_id': '271327412', 'username': 'qgis'}]",
1198014868730843136,1190339839729848320,1574463977000,2019-11-22,18:06:17,EST,2749312112,garciaart3,DoctorJ,,#Day18 #30DayMapChallenge: Globe. Giant component (2491 nodes/cities and 17970 relations/edges) of the global network of sister cities starting from Bogota. Only reciprocal edges were taken into account.  cc @redcompleja pic.twitter.com/jRVGeLCP3Y,"['col_en_datos', 'qgis', 'citibikenyc', 'votobici', 'policiacolombia', 'dadepbogota', 'blancaduranh', 'u2', 'wmvallejo', 'uncolombia', 'simun_unal', 'foursquare', 'redcompleja']",[],['https://pbs.twimg.com/media/EKA0KuWWoAAQOCV.jpg'],1,0,3,"['#day18', '#30daymapchallenge']",[],https://twitter.com/garciaart3/status/1198014868730843136,False,,0,,,,,,,"[{'user_id': '2749312112', 'username': 'garciaart3'}, {'user_id': '996840260683423744', 'username': 'col_en_datos'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '366631688', 'username': 'CitiBikeNYC'}, {'user_id': '722439507845509120', 'username': 'VotoBici'}, {'user_id': '69432342', 'username': 'PoliciaColombia'}, {'user_id': '1197754334', 'username': 'DadepBogota'}, {'user_id': '61916854', 'username': 'blancaduranh'}, {'user_id': '18847632', 'username': 'U2'}, {'user_id': '231899420', 'username': 'WMVallejo'}, {'user_id': '2731985244', 'username': 'UNColombia'}, {'user_id': '722204623709302784', 'username': 'simun_unal'}, {'user_id': '804341497441255424', 'username': 'Foursquare'}, {'user_id': '1133818056956887044', 'username': 'redcompleja'}]",
1198014340303069184,1190475062362677248,1574463851000,2019-11-22,18:04:11,EST,379176102,daniel_isita,D.,,"21. Environment
#30DayMapChallenge

Protected Areas in Mexico. Data from @globalforests pic.twitter.com/9sC4KOwf8i","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina', 'globalforests']",[],['https://pbs.twimg.com/media/EKAzo7kXUAAqy0M.jpg'],1,1,8,['#30daymapchallenge'],[],https://twitter.com/daniel_isita/status/1198014340303069184,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}, {'user_id': '256573185', 'username': 'globalforests'}]",
1198009701771792389,1198008762742657024,1574462745000,2019-11-22,17:45:45,EST,822048926081712128,cchurchili,Carl Churchill,,Taking a cue from @thisismikehall as the #30DayMapChallenge winds down I will be doing only maps of less-explored countries. Its a big world out there.,['thisismikehall'],[],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/Cchurchili/status/1198009701771792389,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}, {'user_id': '290751335', 'username': 'thisismikehall'}]",
1198008762742657024,1198008762742657024,1574462521000,2019-11-22,17:42:01,EST,822048926081712128,cchurchili,Carl Churchill,,"#30DayMapChallenge Urbanization puts huge pressure on nearby forests. In #Zambia, logging and clearing for agriculture damages the forests that surround the nations growing capital Lusaka. #Mapbox #Photoshop #Africa pic.twitter.com/vPyOIOdxqc",[],[],['https://pbs.twimg.com/media/EKAunYsUwAEiT-D.jpg'],2,4,14,"['#30daymapchallenge', '#zambia', '#mapbox', '#photoshop', '#africa']",[],https://twitter.com/Cchurchili/status/1198008762742657024,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1198006973146550273,1198006973146550273,1574462094000,2019-11-22,17:34:54,EST,158303255,romainbochet,Romain Bochet,,Un chouette hashtag à suivre si vous aimez la carte (mais c'est bientot fini) : #30DayMapChallenge,[],[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/RomainBochet/status/1198006973146550273,False,,0,,,,,,,"[{'user_id': '158303255', 'username': 'RomainBochet'}]",
1198005031800360961,1198005031800360961,1574461632000,2019-11-22,17:27:12,EST,827579161472561156,teaminteractca,INTERACT,,"For day 22 / #builtenvironment of #30DayMapChallenge @AvipsaRoy mapped Average Annual Daily Bicyclists in @TempeArizona by bias correcting crowdsourced fitness data app.
Dark green = more cyclists | Light blue = fewer cyclists pic.twitter.com/N6oOr2htfl","['avipsaroy', 'tempearizona']",[],['https://pbs.twimg.com/media/EKArLl6WoAMygU9.jpg'],1,3,6,"['#builtenvironment', '#30daymapchallenge']",[],https://twitter.com/TeamInteractCA/status/1198005031800360961,False,,0,,,,,,,"[{'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '1092901068', 'username': 'AvipsaRoy'}, {'user_id': '21912403', 'username': 'TempeArizona'}]",
1198002691487735808,1198002691487735808,1574461074000,2019-11-22,17:17:54,EST,2738276940,gmbeisbol,Gráficos y Métricas,,Una contribución para el #30DayMapChallenge #rstats https://youtu.be/sB8CYGlPN0o ,[],['https://youtu.be/sB8CYGlPN0o'],[],0,1,1,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/gmbeisbol/status/1198002691487735808,False,,0,,,,,,,"[{'user_id': '2738276940', 'username': 'gmbeisbol'}]",
1197995323781734400,1197995323781734400,1574459317000,2019-11-22,16:48:37,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge, late in the Day 22. Built environment. Comparing #OSM building data map coverage in Dublin and Cork. Both are at same scale but Cork coverage is much patchier 🧐 The People's Republic could probably do with more Open Street Mappers, like... pic.twitter.com/tHbquWSfeH",[],[],['https://pbs.twimg.com/media/EKAiYCBXYAE82FL.jpg'],1,0,3,"['#30daymapchallenge', '#osm']",[],https://twitter.com/niclochg/status/1197995323781734400,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1197993646370328576,1197993646370328576,1574458917000,2019-11-22,16:41:57,EST,165669854,williamscraigm,Craig Williams,,"#30DayMapChallenge Day 22: Built Environment. Buildings of Buffalo. This ends up being the opposite of the street grid but since they a related you see similar patterns. Note, as with the street names I also included Fort Erie, Ontario for a point of reference. pic.twitter.com/VzGCfWTVTE",[],[],['https://pbs.twimg.com/media/EKAg3VUU4AAPjbq.jpg'],0,1,16,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1197993646370328576,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1197988195952185344,1197988195952185344,1574457618000,2019-11-22,16:20:18,EST,14992557,gontsa,gontsa,,"Built environment around Mykolaiv, Ukraine.
#30DayMapChallenge Day 22: Built Environment
Data: #OpenStreetMap contributors, #QGIS pic.twitter.com/dyCfAjXmok",[],[],['https://pbs.twimg.com/media/EKAb5C3WsAABeL3.jpg'],1,7,30,"['#30daymapchallenge', '#openstreetmap', '#qgis']",[],https://twitter.com/gontsa/status/1197988195952185344,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1197982711455068161,1197982711455068161,1574456310000,2019-11-22,15:58:30,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 22: Built environment:
Impervious cover in #Philadelphia, using @opendataphilly layer, aggregated into hexbins. I calculated % of impervious, natural, and water in each hex & displayed each in its own layer, blended together in #QGIS for this effect (neat!) pic.twitter.com/95dVEOHdC2",['opendataphilly'],[],['https://pbs.twimg.com/media/EKAW6tkXkAEsCht.jpg'],1,1,11,"['#30daymapchallenge', '#philadelphia', '#qgis']",[],https://twitter.com/PhilPierdo/status/1197982711455068161,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '212275098', 'username': 'opendataphilly'}]",
1197970897908510720,1197970897908510720,1574453493000,2019-11-22,15:11:33,EST,141981519,tajeewdr,Tajëëw,,"¿Cuántas bibliotecas hay en tu comunidad? ¿Quiénes la usan? ¿qué libros hay?
¿Hay libros en tu idioma? ¿Es nueva, viejita, grande, pequeña?
#NëkyTëjk #30DayMapChallenge https://twitter.com/Colmixe/status/1197913491740536838 …",[],['https://twitter.com/Colmixe/status/1197913491740536838'],[],0,4,5,"['#nëkytëjk', '#30daymapchallenge']",[],https://twitter.com/TajeewDR/status/1197970897908510720,False,https://twitter.com/Colmixe/status/1197913491740536838,0,,,,,,,"[{'user_id': '141981519', 'username': 'TajeewDR'}]",
1197959313102376962,1197959313102376962,1574450731000,2019-11-22,14:25:31,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 22 #BuiltEnvironment
🏘️ Zonas metropolitanas en México

#QGIS pic.twitter.com/9bcMmptn1J",[],[],['https://pbs.twimg.com/media/EKABo1UWwAAJtDw.jpg'],0,4,12,"['#30daymapchallenge', '#builtenvironment', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1197959313102376962,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1197958889230229504,1197958889230229504,1574450630000,2019-11-22,14:23:50,EST,137107982,atdodkonfektes,Zane,,#30DayMapChallenge 22: sabūvēta vide. Jau vairāk nekā 800 gadu. Neizskatās nemaz tik torņaini kā ierastajā ainavā. Visvecākajā ēkā tagad ir Dekoratīvās mākslas muzejs. pic.twitter.com/v6mfFRE0e4,[],[],['https://pbs.twimg.com/media/EKABPu4WwAM7p-8.jpg'],0,1,3,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1197958889230229504,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1197951002009358336,1197951002009358336,1574448750000,2019-11-22,13:52:30,EST,2574612668,hireuter,hannes reuter,,#30DayMapChallenge 22. Built Environment - Urban and High density clusters derived from 2011 Census - info: https://europa.eu/!gf74wy  -data  https://europa.eu/!cv86Tw  -vis: https://europa.eu/!VD48hp  joined contributions by @EU_Eurostat E4 Team - 8days2go- #GISCO pic.twitter.com/mpj5DXIlxB,['eu_eurostat'],"['https://europa.eu/!gf74wy', 'https://europa.eu/!cv86Tw', 'https://europa.eu/!VD48hp']",['https://pbs.twimg.com/media/EJ_6FUvXYAACtZr.png'],0,1,4,"['#30daymapchallenge', '#gisco']",[],https://twitter.com/hireuter/status/1197951002009358336,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1197947858105896960,1190475062362677248,1574448000000,2019-11-22,13:40:00,EST,379176102,daniel_isita,D.,,"20. Rural
#30DayMapChallenge

Not quite rural at all, but the map shows the mining industry which has more than 2400 establishments throughout Mexico, the mining sector contributes with 4% of the national GDP. pic.twitter.com/fTZZix3GiQ","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina']",[],['https://pbs.twimg.com/media/EJ_3NGWWoAENrl2.jpg'],2,2,8,['#30daymapchallenge'],[],https://twitter.com/daniel_isita/status/1197947858105896960,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}]",
1197947855555776512,1197947855555776512,1574448000000,2019-11-22,13:40:00,EST,14130929,ttso,Tuija Sonkkila,,#30DayMapChallenge Day 22: Built environment. If all other lights were off in #Helsinki except those on the bridges and overpasses. Data via @HRInfoshare Code:  https://github.com/tts/mapchallenge/blob/master/built.R … #rstats pic.twitter.com/Isd6TjhCNT,['hrinfoshare'],['https://github.com/tts/mapchallenge/blob/master/built.R'],['https://pbs.twimg.com/media/EJ_0tJEXsAIjHf8.png'],0,1,2,"['#30daymapchallenge', '#helsinki', '#rstats']",[],https://twitter.com/ttso/status/1197947855555776512,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '304376130', 'username': 'HRInfoshare'}]",
1197947171183706113,1197947171183706113,1574447837000,2019-11-22,13:37:17,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 22. Built environment

A short tour of the urban environment of Caderousse (France)

Made with #QGIS & (Quick)OSM pic.twitter.com/NutJVSG3Mv",[],[],[],1,3,34,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1197947171183706113,False,,1,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1197946018014400514,1197946018014400514,1574447562000,2019-11-22,13:32:42,EST,3552542476,sannajokela1,Sanna Jokela,,#30DayMapChallenge Day 22. Built environment. I was supposed to give you a nice 3Dgif with buildings from Helsinki CityGML. BUT. I had an aquarium accident today and a 🌊. So here is just a bunny I found from Turku. District Mälikkälä. Data: Topographic database @Maanmittaus pic.twitter.com/5c63XxS3Ih,['maanmittaus'],[],"['https://pbs.twimg.com/media/EJ_1hdJXYAAoQQJ.jpg', 'https://pbs.twimg.com/media/EJ_1hdKX0AEKlli.jpg']",1,0,15,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1197946018014400514,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}]",
1197945871884673025,1197945871884673025,1574447527000,2019-11-22,13:32:07,EST,822048926081712128,cchurchili,Carl Churchill,,"Shannon has been making some of the most interesting, unique, and engaging maps for the #30daymapchallenge. Check them out or be square.  https://twitter.com/yavannie24/status/1192661026124120064 … pic.twitter.com/nsphpVjBkJ",[],['https://twitter.com/yavannie24/status/1192661026124120064'],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/Cchurchili/status/1197945871884673025,False,,1,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1197935594304950278,1197935594304950278,1574445076000,2019-11-22,12:51:16,EST,77265423,ijturton,Ian Turton,,"#30DayMapChallenge day 22 built environment, sadly I'd already used building density on day 20 urban. So I've gone with a dataset of human footprint from the NASA #wms server. Basically, green is good, red is bad (and I couldn't find the original data to change the colour). #qgis pic.twitter.com/QbiZGpwdkZ",[],[],['https://pbs.twimg.com/media/EJ_sDZOWwAE4CDo.jpg'],0,0,0,"['#30daymapchallenge', '#wms', '#qgis']",[],https://twitter.com/ijturton/status/1197935594304950278,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1197934653837119488,1197932276350410753,1574444852000,2019-11-22,12:47:32,EST,915704444611899392,nicolas_domke,Nicolás Domke Venegas,,Feliz cumpleaños @Juanizio_C y  a continuar con el #30DayMapChallenge q están muy buenos (descifrandolos desde la ignorancia).,"['juanizio_c', 'sii_chile']",[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/Nicolas_Domke/status/1197934653837119488,False,,0,,,,,,,"[{'user_id': '915704444611899392', 'username': 'Nicolas_Domke'}, {'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '98878309', 'username': 'SII_Chile'}]",
1197933815718694912,1197933815718694912,1574444652000,2019-11-22,12:44:12,EST,155965570,danidlsa,Daniela de los Santos,,"#30DayMapChallenge Day 22: Built environment

Precariuous constructions in Montevideo showing spatial segregation towards the periphery | Segregación espacial en Montevideo vista a través de la precariedad de las construcciones.

#rstats #rstatsES #datosdemiercoles pic.twitter.com/GyZupANRrk",[],[],"['https://pbs.twimg.com/media/EJ_qcwsX0AAyHIg.png', 'https://pbs.twimg.com/media/EJ_qcw6WsAEPFGI.png', 'https://pbs.twimg.com/media/EJ_qcw9XkAEVyiA.png']",2,6,13,"['#30daymapchallenge', '#rstats', '#rstatses', '#datosdemiercoles']",[],https://twitter.com/danidlsa/status/1197933815718694912,False,,0,,,,,,,"[{'user_id': '155965570', 'username': 'danidlsa'}]",
1197932943068581889,1192457744143601664,1574444444000,2019-11-22,12:40:44,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"Eye popping gorgeous. As one of the commentors called it, other worldly indeed

#30DayMapChallenge https://twitter.com/ramya_ragupathy/status/1197730661299212288?s=20 …",[],['https://twitter.com/ramya_ragupathy/status/1197730661299212288?s=20'],[],1,0,3,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1197932943068581889,False,https://twitter.com/ramya_ragupathy/status/1197730661299212288,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}]",
1197932276350410753,1197932276350410753,1574444285000,2019-11-22,12:38:05,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge
Day 22: Built Environment

Estimated* age of construction of buildings in Santiago / Año estimado* de construccion de edificaciones en Santiago

Data from @SII_Chile pic.twitter.com/K60MhpOlSB",['sii_chile'],[],['https://pbs.twimg.com/media/EJ_pCTTWkAIaTEI.jpg'],10,28,103,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1197932276350410753,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '98878309', 'username': 'SII_Chile'}]",
1197928573849522178,1197928573849522178,1574443403000,2019-11-22,12:23:23,EST,3195365733,junevgt,Justine Vignat,,"Lorsque j'ai découvert le thème du jour ""#built #environnement"" du #30DayMapChallenge j'ai de suite pensé à ""Habiter la forêt en 2113"" (sujet du CCImaginaire 2018) #lagéoçasedessine #STINARTO pic.twitter.com/e0UTliX32s",[],[],['https://pbs.twimg.com/media/EJ_lcu3XkAANbtQ.jpg'],1,5,19,"['#built', '#environnement', '#30daymapchallenge', '#lagéoçasedessine', '#stinarto']",[],https://twitter.com/Junevgt/status/1197928573849522178,False,,0,,,,,,,"[{'user_id': '3195365733', 'username': 'Junevgt'}, {'user_id': '2513655792', 'username': 'concourscarto'}, {'user_id': '4560564741', 'username': 'massonhgo'}, {'user_id': '494171107', 'username': 'RemiHG'}]",
1197924330094641154,1197924330094641154,1574442391000,2019-11-22,12:06:31,EST,794104607131795456,flou_ltd,FLOU,"Helsinki, Finland","Some are made of sugar, some are made of steel. Rains affect city bikes, this is what we see. #30DayMapChallenge #helsinkicitybikes #opendata @HSL_HRT @HKLhst @meteorologit @Digiroad_fi pic.twitter.com/wJLcBxHOUN","['hsl_hrt', 'hklhst', 'meteorologit', 'digiroad_fi']",[],['https://pbs.twimg.com/media/EJ_h0tcXsAAh7d-.jpg'],0,4,20,"['#30daymapchallenge', '#helsinkicitybikes', '#opendata']",[],https://twitter.com/FLOU_ltd/status/1197924330094641154,False,,0,,,,,,,"[{'user_id': '794104607131795456', 'username': 'FLOU_ltd'}, {'user_id': '1019372761', 'username': 'HSL_HRT'}, {'user_id': '2399759389', 'username': 'HKLhst'}, {'user_id': '71528140', 'username': 'meteorologit'}, {'user_id': '750293696021757953', 'username': 'Digiroad_fi'}]",
1197924284938772482,1197924284938772482,1574442380000,2019-11-22,12:06:20,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge
Day 22: Built Environment - Original Six
Tools: @ArcGISPro | Data: @OSM
Two parking lots, an armory, a skyscraper, and a glorified mall is all that remains of the Original Six @NHL team arenas (pulled this one from the archives). pic.twitter.com/mWrFh6sfN7","['arcgispro', 'osm', 'nhl']",[],['https://pbs.twimg.com/media/EJ_hxpUXsAs_5l0.jpg'],2,6,36,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1197924284938772482,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}, {'user_id': '6109402', 'username': 'osm'}, {'user_id': '50004938', 'username': 'NHL'}]",
1197919702581993477,1197919702581993477,1574441288000,2019-11-22,11:48:08,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland","Highlighting data quality issues with #OpenStreetMap #OSM data for today’s #30DayMapChallenge - while an invaluable source, data completeness needs to be looked at in areas such as #Vejle in Denmark pic.twitter.com/kGslPjDVCR",[],[],['https://pbs.twimg.com/media/EJ_dmyGWoAAZXqh.jpg'],1,4,14,"['#openstreetmap', '#osm', '#30daymapchallenge', '#vejle']",[],https://twitter.com/blanky343/status/1197919702581993477,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1197915207265329153,1197915207265329153,1574440216000,2019-11-22,11:30:16,EST,261631571,hendrikxleo,Leo,,"Day 22: Built environment #30DayMapChallenge Urban areas in North Korea and South Korea.
Data: Natural Earth pic.twitter.com/hfcRSGnYnx",[],[],['https://pbs.twimg.com/media/EJ_ZhjlXYAcc5NJ.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1197915207265329153,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1197913858335219712,1197913858335219712,1574439894000,2019-11-22,11:24:54,EST,1191756832458649600,alice_caron_,Alice Caron,,"#30DayMapChallenge Day 22: Built environment
Montbrison plan, pen & paper (2012) pic.twitter.com/CtSCLH0tIe",[],[],['https://pbs.twimg.com/media/EJ_YS2qXsAAAwEa.png'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/Alice_Caron_/status/1197913858335219712,False,,0,,,,,,,"[{'user_id': '1191756832458649600', 'username': 'Alice_Caron_'}]",
1197913494437404673,1192855827272675329,1574439807000,2019-11-22,11:23:27,EST,1192848641771393027,colmixe,Colmix,,"Para este mapa se trazaron polígonos de Voronoi que muestran qué tan distante puede estar una biblioteca de las localidades mixes. A mayor tamaño del polígono, más lejana está una biblioteca.
*No incluye las nuevas de #BibliotecasComunitarias
#30daymapchallenge",[],[],[],1,1,6,"['#bibliotecascomunitarias', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1197913494437404673,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197913491740536838,1192855827272675329,1574439807000,2019-11-22,11:23:27,EST,1192848641771393027,colmixe,Colmix,,"Día 22: Edificaciones / #JëënTëjk
El número de bibliotecas en la #RegiónMixe es escaso, y el número de #museos lo es más. Muchas de las localidades mixes no cuentan con una biblioteca a pesar de tener una población escolar importante.
#30daymapchallenge #Libraries #Museums pic.twitter.com/XRL6a8cXiR",[],[],['https://pbs.twimg.com/media/EJ_X9_YWkAAKCoI.jpg'],1,8,9,"['#jëëntëjk', '#regiónmixe', '#museos', '#30daymapchallenge', '#libraries', '#museums']",[],https://twitter.com/Colmixe/status/1197913491740536838,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197913024390144000,1197913024390144000,1574439695000,2019-11-22,11:21:35,EST,31334384,wgeary,Will Geary,,Tree cover in the contiguous United States. Thinking about this in the context of modeling GPS accuracy. Data from @forestservice #30DayMapChallenge #GIS pic.twitter.com/5SZo5qhZyF,['forestservice'],[],['https://pbs.twimg.com/media/EJ_XigKXsAEFWbF.jpg'],0,1,17,"['#30daymapchallenge', '#gis']",[],https://twitter.com/wgeary/status/1197913024390144000,False,,0,,,,,,,"[{'user_id': '31334384', 'username': 'wgeary'}, {'user_id': '20867568', 'username': 'forestservice'}]",
1197912283747246086,1192661026124120064,1574439519000,2019-11-22,11:18:39,EST,748038863206088704,yavannie24,Shannon Gonzales,,Well I made it to 20 of the #30DayMapChallenge ... I think I’m officially too busy to keep going. May throw in one or two more. Serious kudos to everyone doing this! I love seeing all the maps and can’t wait to see the remaining challenge results! ☺️👍🗺💗,[],[],[],0,0,3,['#30daymapchallenge'],[],https://twitter.com/yavannie24/status/1197912283747246086,False,,0,,,,,,,"[{'user_id': '748038863206088704', 'username': 'yavannie24'}]",
1197905966647431170,1197905966647431170,1574438013000,2019-11-22,10:53:33,EST,1057314717637767169,mxdatalab,Data Lab Mx,,"Sumamos al #30DayMapChallenge: Así se distribuyen los 22,312 incidentes viales que reportó C5 en la ciudad de México durante octubre. pic.twitter.com/7eBuGOXKcQ",[],[],['https://pbs.twimg.com/media/EJ_RHe4WsAAwJdp.jpg'],0,9,21,['#30daymapchallenge'],[],https://twitter.com/MxDatalab/status/1197905966647431170,False,,0,,,,,,,"[{'user_id': '1057314717637767169', 'username': 'MxDatalab'}]",
1197904448544288771,1197902212585967623,1574437651000,2019-11-22,10:47:31,EST,102093197,danc00ks0n,Dan Cookson,,"#30DayMapChallenge Day 22: Build Environment
To fully appreciate the two building footprint datasets you need to explore them interactively. Go explore  http://j.mp/NewYorkNewYorkMap … (hat tip
@HarelDan and @cartocalypse who helped me make sense of the Bing data)","['bingmaps', 'nycdoitt', 'hareldan', 'cartocalypse']",['http://j.mp/NewYorkNewYorkMap'],[],0,1,2,['#30daymapchallenge'],[],https://twitter.com/danc00ks0n/status/1197904448544288771,False,,0,,,,,,,"[{'user_id': '102093197', 'username': 'danc00ks0n'}, {'user_id': '43143007', 'username': 'bingmaps'}, {'user_id': '137340182', 'username': 'NYCDoITT'}, {'user_id': '51414990', 'username': 'HarelDan'}, {'user_id': '1710706561', 'username': 'cartocalypse'}]",
1197903164743262209,1197903164743262209,1574437345000,2019-11-22,10:42:25,EST,27236923,writeny,Writer Meredith Kurz,,"#30DayMapChallenge   On Pluto on Earth Month takes ~192 Earth Days, so it's not over yet... out there. 3,309 solar systems | 4,093 confirmed planets ~~ 3D Known Exoplanet Map  http://bit.ly/ExoMap  pic.twitter.com/LcRd8jypOQ",[],['http://bit.ly/ExoMap'],['https://pbs.twimg.com/media/EJ_Ok__XUAEYy6_.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/writeny/status/1197903164743262209,False,,0,,,,,,,"[{'user_id': '27236923', 'username': 'writeny'}]",
1197902729097732096,1197902729097732096,1574437241000,2019-11-22,10:40:41,EST,223959960,_penguin_runner,Kirsten Reilly,,#30DayMapChallenge Day 22: Built Environment - @thinkwhere1 Advanced QGIS training course module 3 looks at creating a 3d image of a part of Inverness #3d #opensource #openstreetmap #osopen #QGIS #gischat #geography #cartography pic.twitter.com/6M23hTm5sC,['thinkwhere1'],[],['https://pbs.twimg.com/media/EJ_OLlEXYAETB9j.jpg'],0,3,17,"['#30daymapchallenge', '#3d', '#opensource', '#openstreetmap', '#osopen', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1197902729097732096,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}, {'user_id': '326064479', 'username': 'thinkWhere1'}]",
1197902212585967623,1197902212585967623,1574437118000,2019-11-22,10:38:38,EST,102093197,danc00ks0n,Dan Cookson,,"#30DayMapChallenge Day 22: Build Environment
New York New York
Two maps of New York buildings using two different open sources (@bingmaps and @NYCDoITT) pic.twitter.com/U6Ab1LIH75","['bingmaps', 'nycdoitt']",[],"['https://pbs.twimg.com/media/EJ_Np0uWoAA8Cym.jpg', 'https://pbs.twimg.com/media/EJ_Np0pWwAEhzi0.jpg']",1,1,3,['#30daymapchallenge'],[],https://twitter.com/danc00ks0n/status/1197902212585967623,False,,0,,,,,,,"[{'user_id': '102093197', 'username': 'danc00ks0n'}, {'user_id': '43143007', 'username': 'bingmaps'}, {'user_id': '137340182', 'username': 'NYCDoITT'}]",
1197896642927697920,1197896642927697920,1574435790000,2019-11-22,10:16:30,EST,309734801,samwise_v,Sam J,,#30DayMapChallenge Day 22 for built environment I looked at heathrow and gatwick airports pic.twitter.com/yp9QYRTJhw,[],[],['https://pbs.twimg.com/media/EJ_Io-OWkAUzlvl.jpg'],2,4,14,['#30daymapchallenge'],[],https://twitter.com/samwise_v/status/1197896642927697920,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1197894095500464128,1197894095500464128,1574435182000,2019-11-22,10:06:22,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 22: Built Environment
Dubai, transforming the Desert: From Oil to Tourism! No other place on earth has a more unique transformation.

#gis #geography #geographyteacher #cartography #maps #map #landsat #landsat8 #Dubai #desert #environment #myphysicalworld pic.twitter.com/iSry0uDHWJ",[],[],['https://pbs.twimg.com/media/EJ_GSZXWwAAjlWK.jpg'],0,1,2,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#landsat', '#landsat8', '#dubai', '#desert', '#environment', '#myphysicalworld']",[],https://twitter.com/my_physical/status/1197894095500464128,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1197888762036080646,1197888762036080646,1574433911000,2019-11-22,09:45:11,EST,895591511768813569,statnmap,Sébastien Rochette,,"New blog post: Week 3 of #30DayMapChallenge : ""Earth is spherical"" #rstats
> Build different maps 🗺️with view of the globe🌐
 https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/ … pic.twitter.com/PVgb25hpPF",[],['https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/'],"['https://pbs.twimg.com/media/EJ_BQ_VXUAELkXC.jpg', 'https://pbs.twimg.com/media/EJ_BQ_NXsAgiRql.jpg', 'https://pbs.twimg.com/media/EJ_BQ_YWsAAlA8p.png', 'https://pbs.twimg.com/media/EJ_BQ_TWsAIULpE.jpg']",0,6,10,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/StatnMap/status/1197888762036080646,False,,0,,,,,,,"[{'user_id': '895591511768813569', 'username': 'StatnMap'}]",
1197887288061108225,1197887288061108225,1574433559000,2019-11-22,09:39:19,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 2⃣0⃣ Rural:
Map of the agricultural and forest landscapes of Piedmont Region, Northern Italy 🇮🇹 scale 1:250'000

Source: Piedmont Region Geoportal  http://www.geoportale.piemonte.it
Map design: @qgis pic.twitter.com/VCDCcr3gGM",['qgis'],['http://www.geoportale.piemonte.it'],['https://pbs.twimg.com/media/EJ_AIT3X0AIn75q.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1197887288061108225,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '271327412', 'username': 'qgis'}]",
1197886061076242434,1197886061076242434,1574433267000,2019-11-22,09:34:27,EST,2811204742,swac_oecd,SWAC OECD,,"#30DayMapChallenge Day 22 built environment: #Onitsha with 8.5 million inhabitants is #Africa's 3rd largest urban area. A huge continuously built-up urban area of 2800km2  is emerging (London and greater London are 1 572 km2), driven by infill, sprawl and merging... pic.twitter.com/M6mKl4eFm8",[],[],[],2,10,14,"['#30daymapchallenge', '#onitsha', '#africa']",[],https://twitter.com/SWAC_OECD/status/1197886061076242434,False,,1,,,,,,,"[{'user_id': '2811204742', 'username': 'SWAC_OECD'}]",
1197881777811001344,1197881777811001344,1574432246000,2019-11-22,09:17:26,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge Day 22. Built environment

Some street patterns are so cool, you don't need any data to spice up your map: below you see old fortress city Naarden. Do you know which Wes Anderson-movie color scheme we used? 🤓

Interactive version 👉🏻 https://t.localfocus.nl/?e3d29f8  pic.twitter.com/A0ZyfxHg4L",[],['https://t.localfocus.nl/?e3d29f8'],['https://pbs.twimg.com/media/EJ-7BgtWwAAH8XW.jpg'],0,5,4,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1197881777811001344,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1197878901483036672,1197878901483036672,1574431560000,2019-11-22,09:06:00,EST,1119202751718645760,vinodhdataart,Vinodh kumar V R,,"#30DayMapChallenge

13 - Tracks

""Wood Warbler Bird Migration Tracks""

@Mapbox @tableaupublic

viz:  https://public.tableau.com/shared/32DNKN3S4?:display_count=y&:origin=viz_share_link … pic.twitter.com/rSU8gj9aRV","['mapbox', 'tableaupublic']",['https://public.tableau.com/shared/32DNKN3S4?:display_count=y&:origin=viz_share_link'],['https://pbs.twimg.com/media/EJ-4fuYUEAAim5O.jpg'],0,0,16,['#30daymapchallenge'],[],https://twitter.com/VinodhDataArt/status/1197878901483036672,False,,0,,,,,,,"[{'user_id': '1119202751718645760', 'username': 'VinodhDataArt'}, {'user_id': '55236002', 'username': 'Mapbox'}, {'user_id': '519769200', 'username': 'tableaupublic'}, {'user_id': '1373519251', 'username': 'BMooreWasTaken'}]",
1197878390667272193,1197861491967512578,1574431438000,2019-11-22,09:03:58,EST,2198358416,tjukanov,Topi Tjukanov,,"Now while I'm rendering, here's a second one.

#30DayMapChallenge pic.twitter.com/pVgbJVhLna",['blender_org'],[],['https://pbs.twimg.com/media/EJ-4ClMWoAI1lMT.jpg'],3,0,20,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1197878390667272193,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '745629067874017280', 'username': 'blender_org'}]",
1197877125832941568,1197877125832941568,1574431136000,2019-11-22,08:58:56,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
18 - globe

Earthquakes of the Americas on an azimuth orthographic projection. Needed @mapsOverlord tutorial to get back into #tableau & #mapbox. #qgis to create the custom projection (using @sdbernard YT tutorial)

🌎 https://public.tableau.com/views/EarthquakesoftheAmericas/Globedash?:retry=yes&:display_count=y&:toolbar=n&:origin=viz_share_link … pic.twitter.com/smPdH6BQe8","['mapsoverlord', 'sdbernard']",['https://public.tableau.com/views/EarthquakesoftheAmericas/Globedash?:retry=yes&:display_count=y&:toolbar=n&:origin=viz_share_link'],['https://pbs.twimg.com/media/EJ-25QWWwAIxON_.jpg'],3,2,18,"['#30daymapchallenge', '#tableau', '#mapbox', '#qgis']",[],https://twitter.com/AdiBop_/status/1197877125832941568,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}, {'user_id': '796366720596410368', 'username': 'mapsOverlord'}, {'user_id': '40458914', 'username': 'sdbernard'}]",
1197877094061158401,1197837718170025984,1574431129000,2019-11-22,08:58:49,EST,77265423,ijturton,Ian Turton,,OK here's take 2 for the #30DayMapChallenge day 21 environment this time wholly constructed in #QGIS. pic.twitter.com/9fDpFHgztV,[],[],['https://pbs.twimg.com/media/EJ-21_rWoAEqj9T.jpg'],0,1,5,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/ijturton/status/1197877094061158401,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1197873868179828736,1197873868179828736,1574430360000,2019-11-22,08:46:00,EST,276280627,pnelson917,Patrick Nelson,,Day 22 of the #30DayMapChallenge :  Built Environment…Landuse from @nycgov PLUTO open data.  Fair amount of green in the urban jungle.  #IMNOS pic.twitter.com/pOFC4TnRc9,['nycgov'],[],['https://pbs.twimg.com/media/EJnkZ31XkAATs_L.jpg'],0,0,8,"['#30daymapchallenge', '#imnos']",[],https://twitter.com/pnelson917/status/1197873868179828736,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}, {'user_id': '250884927', 'username': 'nycgov'}]",
1197871698906927104,1197871698906927104,1574429843000,2019-11-22,08:37:23,EST,624668875,opendatazurich,Open Data Zurich,,#30DayMapChallenge - Day 22: built environment: https://twitter.com/DonGoginho/status/955004802236284928?s=20 …,[],['https://twitter.com/DonGoginho/status/955004802236284928?s=20'],[],0,3,9,['#30daymapchallenge'],[],https://twitter.com/OpenDataZurich/status/1197871698906927104,False,https://twitter.com/DonGoginho/status/955004802236284928,0,,,,,,,"[{'user_id': '624668875', 'username': 'OpenDataZurich'}]",
1197871239701913605,1197871239701913605,1574429733000,2019-11-22,08:35:33,EST,624668875,opendatazurich,Open Data Zurich,,"#30DayMapChallenge - Day 22: built environment:

Zurich's high-rise buildings. Based on the freely available #3DCityModel of the City of #Zurich:  https://data.stadt-zuerich.ch/dataset?q=lod&tags=geodaten …
#OpenData #3D #Buildings https://twitter.com/ChrisGis3D/status/1126804441401892864?s=20 …",[],"['https://data.stadt-zuerich.ch/dataset?q=lod&tags=geodaten', 'https://twitter.com/ChrisGis3D/status/1126804441401892864?s=20']",[],0,3,3,"['#30daymapchallenge', '#3dcitymodel', '#zurich', '#opendata', '#3d', '#buildings']",[],https://twitter.com/OpenDataZurich/status/1197871239701913605,False,https://twitter.com/ChrisGis3D/status/1126804441401892864,0,,,,,,,"[{'user_id': '624668875', 'username': 'OpenDataZurich'}]",
1197864092117024768,1197864092117024768,1574428029000,2019-11-22,08:07:09,EST,609756566,aquilae53,Kenet,,Wow me and my fascination for maps is offended that I only heard about #30DayMapChallenge now,[],[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/aquilae53/status/1197864092117024768,False,,0,,,,,,,"[{'user_id': '609756566', 'username': 'aquilae53'}]",
1197862785843179528,1197862785843179528,1574427718000,2019-11-22,08:01:58,EST,25662004,iamreddave,Still Dave,,Guess the Irish town. #30DayMapChallenge Day 22: built environment. Does anyone know how to use #ggplot2 osm_line2poly to colour in the sea? pic.twitter.com/fku9joX9as,[],[],['https://pbs.twimg.com/media/EJ-p2SiW4AEwSOg.jpg'],2,0,0,"['#30daymapchallenge', '#ggplot2']",[],https://twitter.com/iamreddave/status/1197862785843179528,False,,0,,,,,,,"[{'user_id': '25662004', 'username': 'iamreddave'}]",
1197862527272706050,1197862527272706050,1574427656000,2019-11-22,08:00:56,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day22 #30DayMapChallenge pic.twitter.com/gWHaWVPpRR,[],[],['https://pbs.twimg.com/media/EJ-pmszWsAM7Yw4.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/pj_go_2020/status/1197862527272706050,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1197861491967512578,1197861491967512578,1574427409000,2019-11-22,07:56:49,EST,2198358416,tjukanov,Topi Tjukanov,,"A piece of London. Digital surface model rendered with @blender_org

Data:  https://environment.data.gov.uk/DefraDataDownload/?Mode=survey …
#30DayMapChallenge Day 22: built environment pic.twitter.com/S4Spr7pi7b",['blender_org'],['https://environment.data.gov.uk/DefraDataDownload/?Mode=survey'],['https://pbs.twimg.com/media/EJ-op0HWsAEh4wP.jpg'],3,9,92,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1197861491967512578,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '745629067874017280', 'username': 'blender_org'}]",
1197860016059015168,1197852281833762816,1574427057000,2019-11-22,07:50:57,EST,21193285,manaboutcouch,Richard Cantwell,,"And here's every road, path and track in Cork, just to prove that I'm not completely Dublin-centric.

#30DayMapChallenge pic.twitter.com/2VxdFXvHDG",[],[],['https://pbs.twimg.com/media/EJ-nVCxXUAIbhQ0.jpg'],1,2,7,['#30daymapchallenge'],[],https://twitter.com/ManAboutCouch/status/1197860016059015168,False,,0,,,,,,,"[{'user_id': '21193285', 'username': 'ManAboutCouch'}]",
1197854408127713280,1197854408127713280,1574425720000,2019-11-22,07:28:40,EST,140068360,geomniuk,GeomniUK,,"Day 22 of the #30DayMapChallenge - Built Environment

Can you name this town and building?👀

This image was taken on 19 September 2019 using a Midas camera that captures high resolution vertical and oblique imagery

Detailed measurements and data can be derived from such imagery pic.twitter.com/Ck0fWEwTWB",[],[],['https://pbs.twimg.com/media/EJ-iOtrW4AACPEe.jpg'],0,1,2,['#30daymapchallenge'],[],https://twitter.com/GeomniUK/status/1197854408127713280,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1197852281833762816,1197852281833762816,1574425213000,2019-11-22,07:20:13,EST,21193285,manaboutcouch,Richard Cantwell,,"Here's every road, path and track in Dublin.

#30DayMapChallenge Day 22: Built Environment pic.twitter.com/lTRKddJTNa",[],[],['https://pbs.twimg.com/media/EJ-gSwAXsAIwhdd.jpg'],4,6,39,['#30daymapchallenge'],[],https://twitter.com/ManAboutCouch/status/1197852281833762816,False,,0,,,,,,,"[{'user_id': '21193285', 'username': 'ManAboutCouch'}]",
1197844881583955969,1197844881583955969,1574423449000,2019-11-22,06:50:49,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 15: Lego, oops I mean names. I tried to be clever and use a geometry generator in #QGIS for the name but ended up having to switch to Inkscape. Uses the new(ish) river names dataset from LINZ pic.twitter.com/aqw1W1W0pq",[],[],['https://pbs.twimg.com/media/EJ-Zde-UEAAGnc9.jpg'],2,4,40,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/Generally_Geo/status/1197844881583955969,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}]",
1197838530430586880,1197838530430586880,1574421935000,2019-11-22,06:25:35,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge Día 22: Build Environment🏙️
Mapa de la misión jesuítica de #guaraníes de San Joan Bautista del Río Uruguay  (año 1753)  (#Brasil-Rio Grande do Sul-Entre Ijuís); casas estables de piedra y cubiertas con tejas.
Archivo de #Simancas pic.twitter.com/otH8aaREwk",[],[],"['https://pbs.twimg.com/media/EJ-Tx2eWkAE84zm.jpg', 'https://pbs.twimg.com/media/EJ-Tx17W4AEESI4.jpg']",0,1,4,"['#30daymapchallenge', '#guaraníes', '#brasil', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1197838530430586880,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1197837718170025984,1197837718170025984,1574421741000,2019-11-22,06:22:21,EST,77265423,ijturton,Ian Turton,,"Day 21 #30DayMapChallenge Environment, looking at day time temperature anomalies in the polar regions. I don't think there should be so much red up there.

Made in #QGIS and #GIMP (as I couldn't work out how to have 2 projections in print composer). pic.twitter.com/t4hD6S1LRk",[],[],['https://pbs.twimg.com/media/EJ-TCcUWsAA__la.jpg'],3,1,6,"['#30daymapchallenge', '#qgis', '#gimp']",[],https://twitter.com/ijturton/status/1197837718170025984,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1197831533349998592,1197831533349998592,1574420266000,2019-11-22,05:57:46,EST,2689904899,mwigley2,Mark Wigley,,Day 22 of the #30DayMapChallenge and here I have tried to capture the local stone colour for Built environment. pic.twitter.com/mJfFPerc2R,[],[],['https://pbs.twimg.com/media/EJ-NbZoWoAATe9L.jpg'],0,0,5,['#30daymapchallenge'],[],https://twitter.com/mwigley2/status/1197831533349998592,False,,0,,,,,,,"[{'user_id': '2689904899', 'username': 'mwigley2'}]",
1197831427921825792,1197831427921825792,1574420241000,2019-11-22,05:57:21,EST,105407287,saint_gis,SRG,,"@tjukanov
#30DayMapChallenge Day 22-Built Environment
#india houseless households 2011 @CensusIndia2021
@DataPortalIndia using #fme @SafeSoftware @qgis pic.twitter.com/GDUpuv19qD","['tjukanov', 'censusindia2021', 'dataportalindia', 'safesoftware', 'qgis']",[],['https://pbs.twimg.com/media/EJ-NNA4UEAAXqzk.jpg'],0,0,0,"['#30daymapchallenge', '#india', '#fme']",[],https://twitter.com/Saint_GIS/status/1197831427921825792,False,,0,,,,,,,"[{'user_id': '105407287', 'username': 'Saint_GIS'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '1107660326303133698', 'username': 'CensusIndia2021'}, {'user_id': '1170885648', 'username': 'DataPortalIndia'}, {'user_id': '18857808', 'username': 'SafeSoftware'}, {'user_id': '271327412', 'username': 'qgis'}]",
1197831391863615489,1193141333722054657,1574420233000,2019-11-22,05:57:13,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 22 : Built environment - Bâti à Lille #Lille #RStats #OpenData  https://github.com/Grisoudre/30DayMapChallenge/tree/master/day22_built_environment … pic.twitter.com/621EPlLRsU,[],['https://github.com/Grisoudre/30DayMapChallenge/tree/master/day22_built_environment'],['https://pbs.twimg.com/media/EJ-NSZhWoAAyhnw.png'],1,2,3,"['#30daymapchallenge', '#lille', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1197831391863615489,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1197830888639418368,1197830888639418368,1574420113000,2019-11-22,05:55:13,EST,22146490,joriseekhout,Joris Eekhout,,"Day 22 (built environment): All buildings in the city of Murcia (Spain), colored according to the year of construction. The map is centered around Plaza Circular, one of the main squares of the city #30DayMapChallenge pic.twitter.com/Eyo6C8T32T",[],[],['https://pbs.twimg.com/media/EJ-MzaaWkAAZSx2.jpg'],1,2,12,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1197830888639418368,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1197830435860074498,1197830435860074498,1574420005000,2019-11-22,05:53:25,EST,109054515,redgeographics,Hans van der Maarel,"Moerdijk, Nederland",While going through my map collection searching for something for tomorrow’s #30DayMapChallenge I came across some other goodies. A thread #lovemaps #cartography,[],[],[],1,0,3,"['#30daymapchallenge', '#lovemaps', '#cartography']",[],https://twitter.com/redgeographics/status/1197830435860074498,False,,0,,,,,,,"[{'user_id': '109054515', 'username': 'redgeographics'}]",
1197830202493145088,1197830202493145088,1574419949000,2019-11-22,05:52:29,EST,501207395,rjbeecham,Roger Beecham,,"Just seen @jwoLondon’s #30DayMapChallenge entries, which are (predictably) stunningly good. Most impressive is that all generated declaratively using @vega_vis — repo here: https://github.com/jwoLondon/30dayMapChallenge …","['jwolondon', 'vega_vis']",['https://github.com/jwoLondon/30dayMapChallenge'],[],0,0,4,['#30daymapchallenge'],[],https://twitter.com/rJBeecham/status/1197830202493145088,False,,0,,,,,,,"[{'user_id': '501207395', 'username': 'rJBeecham'}, {'user_id': '43953969', 'username': 'jwoLondon'}, {'user_id': '919294347857690625', 'username': 'vega_vis'}]",
1197829520121831424,1197829520121831424,1574419786000,2019-11-22,05:49:46,EST,2756004123,emu_info,Emu Analytics,,"#30DayMapChallenge Day 22: Build Environment 🏙️

The colourful dots you see here are the EPC ratings across domestic buildings in Brighton. Isn't it handy to see the data in this way rather than an excel spreadsheet? #datavisualisation pic.twitter.com/96xv9GSnic",[],[],['https://pbs.twimg.com/media/EJ-LkEBXsAANJr4.jpg'],0,0,2,"['#30daymapchallenge', '#datavisualisation']",[],https://twitter.com/emu_info/status/1197829520121831424,False,,0,,,,,,,"[{'user_id': '2756004123', 'username': 'emu_info'}]",
1197829375108009984,1197829375108009984,1574419752000,2019-11-22,05:49:12,EST,17448121,cadcorp,Cadcorp,,#30DayMapChallenge - Day 22 - Built Environment. 1km squares (156243 in total) of England showing where there is at least one residential address (as defined by @GeoPlaceLLP #Addressbase). Grey indicates where addresses are present #CadcorpSIS #GIS pic.twitter.com/LYqpu2xupQ,['geoplacellp'],[],['https://pbs.twimg.com/media/EJ-Ld1dXsAAon69.png'],0,2,7,"['#30daymapchallenge', '#addressbase', '#cadcorpsis', '#gis']",[],https://twitter.com/cadcorp/status/1197829375108009984,False,,0,,,,,,,"[{'user_id': '17448121', 'username': 'cadcorp'}, {'user_id': '299655286', 'username': 'GeoPlaceLLP'}]",
1197824974184206336,1197824974184206336,1574418703000,2019-11-22,05:31:43,EST,1454843694,onestopmap,One Stop Map,,"We recently produced a series of maps of large urban regions, so with today’s #30DayMapChallenge theme being “Built Environment” we thought it would be a good one to show. Here’s San Francisco, head over to  http://www.onestopmap.com  to see what else we have in store! #lovemaps pic.twitter.com/dhdN87FMuU",[],['http://www.onestopmap.com'],['https://pbs.twimg.com/media/EJ-HBVvX0AEswQS.jpg'],0,1,1,"['#30daymapchallenge', '#lovemaps']",[],https://twitter.com/onestopmap/status/1197824974184206336,False,,0,,,,,,,"[{'user_id': '1454843694', 'username': 'onestopmap'}]",
1197823594870509568,1197823594870509568,1574418374000,2019-11-22,05:26:14,EST,34737662,positium,Positium,,"The map for day 22 about the built environment shows soil sealing caused by human activity in the city of Tallinn.
Soil sealing=loss of soil resources due to the covering of land by the built environment.
#30DayMapChallenge #Tallinn #soil #builtenvironment #humanimpact #city pic.twitter.com/zFQssLVTSQ",[],[],['https://pbs.twimg.com/media/EJ-GNA6XUAAhb5R.jpg'],0,0,7,"['#30daymapchallenge', '#tallinn', '#soil', '#builtenvironment', '#humanimpact', '#city']",[],https://twitter.com/positium/status/1197823594870509568,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1197820768417005568,1197820768417005568,1574417700000,2019-11-22,05:15:00,EST,1499547780,heikkivesanto,Heikki Vesanto,,"Dublin’s O'Connell street, with the Spire visible. From NYU lidar, and rendered with @ephtracy's #Aerialod. The lidar needs a bit of polishing, but fascinating tool. #30DayMapChallenge #Day22 #BuiltEnvironment pic.twitter.com/aECtBW5GB9",['ephtracy'],[],[],2,2,14,"['#aerialod', '#30daymapchallenge', '#day22', '#builtenvironment']",[],https://twitter.com/HeikkiVesanto/status/1197820768417005568,False,,1,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}, {'user_id': '267862771', 'username': 'ephtracy'}]",
1197819774182535169,1197819774182535169,1574417463000,2019-11-22,05:11:03,EST,25662004,iamreddave,Still Dave,,Antarctica without the snow in a snow globe without snow #30DayMapChallenge Day 21: environment pic.twitter.com/J8nnDKxKXo,[],[],['https://pbs.twimg.com/media/EJ-CuLxW4AEp1oC.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/iamreddave/status/1197819774182535169,False,,0,,,,,,,"[{'user_id': '25662004', 'username': 'iamreddave'}]",
1197816724269215744,1197816724269215744,1574416736000,2019-11-22,04:58:56,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Kontich, België",#30DayMapChallenge day 22: some rooftops in @GemeenteKontich - an image created by cropping an orthophoto with a building layer. // Data from @info_vlaanderen // #builtenvironment pic.twitter.com/olDhYAp7dZ,"['gemeentekontich', 'info_vlaanderen']",[],['https://pbs.twimg.com/media/EJ9_9ajXkAA0FA4.jpg'],1,0,3,"['#30daymapchallenge', '#builtenvironment']",[],https://twitter.com/michelstuyts/status/1197816724269215744,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '2280636319', 'username': 'GemeenteKontich'}, {'user_id': '845226781', 'username': 'info_vlaanderen'}]",
1197814380009840641,1197814380009840641,1574416177000,2019-11-22,04:49:37,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 1⃣9⃣ Urban:
Land Use/Land Cover classification of Milan, Italy 🇮🇹 according to Urban Atlas (2006)
- Source:  https://land.copernicus.eu/local/urban-atlas …
- Map designed in @qgis

Extracted from this paper written in 2017:  https://tinyurl.com/uscfykc  pic.twitter.com/LW5BPlyc5P",['qgis'],"['https://land.copernicus.eu/local/urban-atlas', 'https://tinyurl.com/uscfykc']",['https://pbs.twimg.com/media/EJ990cKWoAMOha1.jpg'],0,1,6,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1197814380009840641,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '271327412', 'username': 'qgis'}]",
1197813898562473984,1197813898562473984,1574416062000,2019-11-22,04:47:42,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Built environment. Humans and beavers build dams sometimes. This is a dam in Imatra, visualised as a coloured point cloud. Data: @Maanmittaus #30DayMapChallenge #pato #dam #imatra #vuoksi #lidar pic.twitter.com/PpL1t0T260",['maanmittaus'],[],[],0,0,5,"['#30daymapchallenge', '#pato', '#dam', '#imatra', '#vuoksi', '#lidar']",[],https://twitter.com/AlsuhailFaris/status/1197813898562473984,False,,1,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '1396456705', 'username': 'Maanmittaus'}]",
1197813111421620224,1193141333722054657,1574415874000,2019-11-22,04:44:34,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 21 : Environment - Sites Seveso dans le Nord #Nord #RStats #OpenData  https://github.com/Grisoudre/30DayMapChallenge/tree/master/day21_environment … pic.twitter.com/OQeu4SIEnD,[],['https://github.com/Grisoudre/30DayMapChallenge/tree/master/day21_environment'],['https://pbs.twimg.com/media/EJ98qc5XkAAIiH8.jpg'],1,1,2,"['#30daymapchallenge', '#nord', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1197813111421620224,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1197811721085300736,1197811721085300736,1574415543000,2019-11-22,04:39:03,EST,919806358328958976,gis3700,Vicky Verscheijden,,"#30DayMapChallenge Built environment - buildings
With a heart for my city! @stadtongeren pic.twitter.com/dR3e8Gqf7J",['stadtongeren'],[],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/gis3700/status/1197811721085300736,False,,1,,,,,,,"[{'user_id': '919806358328958976', 'username': 'gis3700'}, {'user_id': '441650529', 'username': 'stadtongeren'}]",
1197808118656360449,1192457744143601664,1574414684000,2019-11-22,04:24:44,EST,878191744076140544,iamgkadam,Ganesh Kadamur,,"Picking up after a break. Not made for #30DayMapChallenge I think, but still very informative and provocative https://twitter.com/modacitylife/status/1197366609813417986?s=20 …",[],['https://twitter.com/modacitylife/status/1197366609813417986?s=20'],[],1,0,3,['#30daymapchallenge'],[],https://twitter.com/iamgkadam/status/1197808118656360449,False,https://twitter.com/modacitylife/status/1197366609813417986,0,,,,,,,"[{'user_id': '878191744076140544', 'username': 'iamgkadam'}]",
1197807595114905606,1197807595114905606,1574414559000,2019-11-22,04:22:39,EST,818083243018907648,regxaardeo,Reĝa Ardeo,,Protektitaj Monumentoj de Francio #Esperanto #30DayMapChallenge Tago 22 : Built Environment pic.twitter.com/nVt4CFVWbY,[],[],['https://pbs.twimg.com/media/EJ93g4oWsAA5wlR.jpg'],0,0,0,"['#esperanto', '#30daymapchallenge']",[],https://twitter.com/RegxaArdeo/status/1197807595114905606,False,,0,,,,,,,"[{'user_id': '818083243018907648', 'username': 'RegxaArdeo'}]",
1197807408392916993,1197807408392916993,1574414515000,2019-11-22,04:21:55,EST,5685812,hrbrmstr,boB Rudis,,"For tdy's #30DayMapChallenge (""built environment"") I looked at ""walkability"" for Maine & York county (neither of which is very walkable) w/#rstats {sf} {tigris} & @usdatagov's walkability index db.

York's map is fairly big so folks can zoom in a bit. Code push later tdy. pic.twitter.com/0WkrtuhN9v",['usdatagov'],[],"['https://pbs.twimg.com/media/EJ93dvkXUAAgCmO.jpg', 'https://pbs.twimg.com/media/EJ93dvkX0AECiJT.jpg']",2,1,21,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1197807408392916993,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}, {'user_id': '94642927', 'username': 'usdatagov'}]",
1197800993460772864,1197800993460772864,1574412985000,2019-11-22,03:56:25,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 22 - Built Environment

Today's map is a joint effort with my son who is building an immersive game situated in the real built environment @xmpli. This video shows a fly through of a virtual Brixham built upon Ordnance Survey data pic.twitter.com/kLc3XiNP3o",['xmpli'],[],[],4,3,28,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1197800993460772864,False,,1,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}, {'user_id': '1151797727950516224', 'username': 'Xmpli'}]",
1197796780097671168,1197796780097671168,1574411981000,2019-11-22,03:39:41,EST,818668655693004801,lgeospatial,Aaron Licker,,#30DayMapChallenge round #2: Vancouver redistricted based on equal populations (2016). This is practice for a forthcoming analysis piece to support nhood boundary development for a project with @jfix and @DIALOG pic.twitter.com/a56Zx6HqSZ,"['jfix', 'dialog']",[],['https://pbs.twimg.com/media/EJ9t0bcVAAIXwAz.jpg'],5,5,20,['#30daymapchallenge'],[],https://twitter.com/LGeospatial/status/1197796780097671168,False,,0,,,,,,,"[{'user_id': '818668655693004801', 'username': 'LGeospatial'}, {'user_id': '2825931', 'username': 'jfix'}, {'user_id': '766371128', 'username': 'DIALOG'}]",
1197796725601325057,1197796725601325057,1574411968000,2019-11-22,03:39:28,EST,153718180,craigtaylorgis,Craig Taylor,,"#30DayMapChallenge Day 22: Build Environment 🏨

Same idea as 'yellow' and another NYC #dataviz (!) but it looks cool! This viz shows the historic construction date of all current #newyork buildings. *Height exaggerated*

Data via:  https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh …
#maps #3d #animation pic.twitter.com/9A0VdifQt9",[],['https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh'],[],8,119,389,"['#30daymapchallenge', '#dataviz', '#newyork', '#maps', '#3d', '#animation']",[],https://twitter.com/CraigTaylorGIS/status/1197796725601325057,False,,1,,,,,,,"[{'user_id': '153718180', 'username': 'CraigTaylorGIS'}]",
1197796185597235201,1197796185597235201,1574411839000,2019-11-22,03:37:19,EST,82467442,thomasg77,Thomas gratier,,"Was looking to polder data for #30DayMapChallenge While looking for dataset, found about ""List of places on land  with elevations below sea level""  https://en.wikipedia.org/wiki/List_of_places_on_land_with_elevations_below_sea_level … Any geographic input on this kind of  data? Could be interesting to show places below 0 but remains dry :)",[],['https://en.wikipedia.org/wiki/List_of_places_on_land_with_elevations_below_sea_level'],[],2,0,0,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1197796185597235201,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1197795190486061057,1197795190486061057,1574411602000,2019-11-22,03:33:22,EST,1134609998980370432,visualizemap,visualizemap,,Où est-ce que l’usage de la voiture diminue en France ? Réponse avec cette cartographie interactive qui montre l’évolution de la part des actifs qui utilisent la voiture pour aller travailler entre 2011 et 2016. #30DayMapChallenge #dataviz @InseeFr  http://bit.ly/2qrETy2  pic.twitter.com/1VsTPgLdfs,['inseefr'],['http://bit.ly/2qrETy2'],['https://pbs.twimg.com/media/EJ9sWYVWwAALXHM.jpg'],4,25,40,"['#30daymapchallenge', '#dataviz']",[],https://twitter.com/visualizemap/status/1197795190486061057,False,,0,,,,,,,"[{'user_id': '1134609998980370432', 'username': 'visualizemap'}, {'user_id': '217473382', 'username': 'InseeFr'}]",
1197792441782411264,1195414877562646528,1574410946000,2019-11-22,03:22:26,EST,895591511768813569,statnmap,Sébastien Rochette,,"#30DayMapChallenge with #rspatial
Week 3. The blog post to close this 3rd week in the challenge and share the code:  https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/ … #rstats pic.twitter.com/BAdmbtRIst","['jdatap', 'jmcastagnetto']",['https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/'],"['https://pbs.twimg.com/media/EJ9p2oFX0AE1vwi.jpg', 'https://pbs.twimg.com/media/EJ9p2oPWwAE-T8T.jpg', 'https://pbs.twimg.com/media/EJ9p2oRWoAA88Ta.jpg', 'https://pbs.twimg.com/media/EJ9p2oUXsAA0pI-.png']",0,2,2,"['#30daymapchallenge', '#rspatial', '#rstats']",[],https://twitter.com/StatnMap/status/1197792441782411264,False,,0,,,,,,,"[{'user_id': '895591511768813569', 'username': 'StatnMap'}, {'user_id': '1571967648', 'username': 'jdatap'}, {'user_id': '118526360', 'username': 'jmcastagnetto'}]",
1197788155350601728,1197788155350601728,1574409924000,2019-11-22,03:05:24,EST,2548848856,knozi1,g.katz,"Vienna, Austria",#30DayMapChallenge Day 22: Permitted and completed buildings in Austria since 2011 #STATatlas @STATISTIK_AT  https://www.statistik.at/atlas/gwr-neuerrichtungen/ … pic.twitter.com/9qPYzcJ2MN,['statistik_at'],['https://www.statistik.at/atlas/gwr-neuerrichtungen/'],['https://pbs.twimg.com/media/EJ9l2pNXUAA4Js4.jpg'],0,0,0,"['#30daymapchallenge', '#statatlas']",[],https://twitter.com/knozi1/status/1197788155350601728,False,,0,,,,,,,"[{'user_id': '2548848856', 'username': 'knozi1'}, {'user_id': '2483418230', 'username': 'STATISTIK_AT'}]",
1197784784493150208,1197784784493150208,1574409121000,2019-11-22,02:52:01,EST,844152803991994368,rweekly_live,R Weekly Live,,#30DayMapChallenge: 30 days building maps (3) - Earth is spherical #rstats #datascience https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/ …,[],['https://statnmap.com/2019-11-22-30daymapchallenge-building-maps-3-earth-is-sphere/'],[],0,3,4,"['#30daymapchallenge', '#rstats', '#datascience']",[],https://twitter.com/rweekly_live/status/1197784784493150208,False,,0,,,,,,,"[{'user_id': '844152803991994368', 'username': 'rweekly_live'}]",
1197772788821626880,1197772788821626880,1574406261000,2019-11-22,02:04:21,EST,173910626,leonidasliakos,Leonidas Liakos,,"Night Lights of Attika, Greece (VIIRS Black Marble product VNP46A1).
Created with  http://kepler.gl
#30DayMapChallenge #SuomiNPP #VIIRS #keplergl #BlackMarble @USRA_Roman @ShresthaRanjay pic.twitter.com/E9PR1fWISe","['usra_roman', 'shrestharanjay']",['http://kepler.gl'],['https://pbs.twimg.com/media/EJ9X-1KXkAISN9x.jpg'],0,0,2,"['#30daymapchallenge', '#suominpp', '#viirs', '#keplergl', '#blackmarble']",[],https://twitter.com/leonidasliakos/status/1197772788821626880,False,,0,,,,,,,"[{'user_id': '173910626', 'username': 'leonidasliakos'}, {'user_id': '14584238', 'username': 'USRA_Roman'}, {'user_id': '1019970085589483530', 'username': 'ShresthaRanjay'}]",
1197772626900508672,1197772626900508672,1574406222000,2019-11-22,02:03:42,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 21. Built environment: tall buildings and structures in Estonia (vertical scale exaggerated by 50) 🗼🏬😋 #QGIS #threejs pic.twitter.com/YltzOqh0vm,[],[],['https://pbs.twimg.com/media/EJ9X13hXkAAqOif.jpg'],0,3,20,"['#30daymapchallenge', '#qgis', '#threejs']",[],https://twitter.com/evelynuuemaa/status/1197772626900508672,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1197772327536205824,1197772327536205824,1574406151000,2019-11-22,02:02:31,EST,1105836507380805632,eo_services,eoservices,,"Retweet @ CopernicusLand: RT hireuter: #30DayMapChallenge 21. Environment- #CORINE Land Cover from the EUEnvironment -upper classifications with coastal water excl.(left), 2018 and full classifications(right), 2000 -thx2 CopernicusEU data: … pic.twitter.com/GQO7Y2rEI3",[],[],"['https://pbs.twimg.com/media/EJ6SruRXsAAVqPX.jpg', 'https://pbs.twimg.com/media/EJ6SruwXYAASabi.jpg']",0,5,17,"['#30daymapchallenge', '#corine']",[],https://twitter.com/eo_services/status/1197772327536205824,False,,0,,,,,,,"[{'user_id': '1105836507380805632', 'username': 'eo_services'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}, {'user_id': '22362552', 'username': 'EUEnvironment'}, {'user_id': '3880615822', 'username': 'CopernicusLand'}]",
1197768362035752965,1197768362035752965,1574405205000,2019-11-22,01:46:45,EST,43953969,jwolondon,Jo Wood,,"Day 22: Built Environment

How has my place of work changed over the years? Two maps of Clerkenwell, London – one in 1805 and one today.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d22BuiltEnvironment.md …
#30DayMapChallenge pic.twitter.com/kjRI0WETSz",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d22BuiltEnvironment.md'],['https://pbs.twimg.com/media/EJ9T-J2XkAAaJhR.jpg'],1,3,25,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1197768362035752965,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1197761606140084224,1197761606140084224,1574403594000,2019-11-22,01:19:54,EST,1191269702904844291,xycarto,XYCarto,,"#30DayMapChallenge Day 22: Built Environment. One last recycled project... Wellington City.  Wellington DSM, DEM and aerial imagery.  Notice the scars from the roads cut into the sides of the steep hills. Data @LINZLDS. Bathy interpolation with SAGA GIS. Vis with @QGIS and @OSGeo pic.twitter.com/LspXLIZblC","['linzlds', 'qgis', 'osgeo']",[],['https://pbs.twimg.com/media/EJ9N0sLUYAAJJn4.jpg'],0,3,30,['#30daymapchallenge'],[],https://twitter.com/XyCarto/status/1197761606140084224,False,,0,,,,,,,"[{'user_id': '1191269702904844291', 'username': 'XyCarto'}, {'user_id': '316232211', 'username': 'LINZLDS'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '18048862', 'username': 'OSGeo'}]",
1197761125170978816,1197761125170978816,1574403480000,2019-11-22,01:18:00,EST,138083232,swiss_geoportal,geo.admin.ch,,[EN] public transport quality categories / #accessibility by public transport #switzerland.  https://s.geo.admin.ch/85b0269acf  by @AREschweiz #30DayMapChallenge #builtenvironement #impact @openTdataCH pic.twitter.com/p9OkCb9mMJ,"['areschweiz', 'opentdatach']",['https://s.geo.admin.ch/85b0269acf'],['https://pbs.twimg.com/media/EJwQDX9WoAEIzUx.jpg'],0,0,4,"['#accessibility', '#switzerland', '#30daymapchallenge', '#builtenvironement', '#impact']",[],https://twitter.com/swiss_geoportal/status/1197761125170978816,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '518667684', 'username': 'AREschweiz'}, {'user_id': '769158546629984256', 'username': 'openTdataCH'}]",
1197758055804325889,1197758055804325889,1574402748000,2019-11-22,01:05:48,EST,1191269702904844291,xycarto,XYCarto,,#30DayMapChallenge Day 20: Rural.  Remnants of an oxbow river  overtaken by farms in the Wairarapa.  Wellington DSM blended with aerial imagery.  It took a lot of fiddling to get the river to stand out in this image. Data @LINZLDS. Made with @QGIS and other @OSGeo tools. pic.twitter.com/VyqmNG3pyn,"['linzlds', 'qgis', 'osgeo']",[],['https://pbs.twimg.com/media/EJ9KmGDUwAUh8Jt.jpg'],2,7,41,['#30daymapchallenge'],[],https://twitter.com/XyCarto/status/1197758055804325889,False,,0,,,,,,,"[{'user_id': '1191269702904844291', 'username': 'XyCarto'}, {'user_id': '316232211', 'username': 'LINZLDS'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '18048862', 'username': 'OSGeo'}]",
1197755234711269379,1197755234711269379,1574402075000,2019-11-22,00:54:35,EST,1191269702904844291,xycarto,XYCarto,,"#30DayMapChallenge Day 19: Urban. Point cloud visualization of the Sky Tower. This is an old image from about four years ago, but it never made it far from my hard drive.  I thought the urban theme would give it a good use and let it out to a wider audience. pic.twitter.com/CRMeuzYtx7",[],[],['https://pbs.twimg.com/media/EJ9ICILUYAAGG87.jpg'],1,1,27,['#30daymapchallenge'],[],https://twitter.com/XyCarto/status/1197755234711269379,False,,0,,,,,,,"[{'user_id': '1191269702904844291', 'username': 'XyCarto'}]",
1197754734897025024,1197754734897025024,1574401956000,2019-11-22,00:52:36,EST,165669854,williamscraigm,Craig Williams,,"#30DayMapChallenge Day 21: Environment. Morro Rock is one of the Nine Sisters - a chain of volcanic plugs between Morro Bay and San Luis Obispo. Rendered here in @ArcGISPro with LIDAR from PG&E, a black background, and clearly visible points for a pointillism effect. pic.twitter.com/DUXRtnIfMn",['arcgispro'],[],['https://pbs.twimg.com/media/EJ9HlJDUYAA3RsO.jpg'],1,0,18,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1197754734897025024,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}, {'user_id': '1586154734', 'username': 'ArcGISPro'}]",
1197749916946165760,1197749916946165760,1574400807000,2019-11-22,00:33:27,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"🚨🗺️ BONUS #30DAYMAPCHALLENGE MAP 🗺️🚨

Day 22.5 of #30DayMapChallenge – Built Environment:

Auckland, lit by its notable trees pic.twitter.com/tfnjogvKZh",[],[],['https://pbs.twimg.com/media/EJ9DMgcUEAE3h0E.jpg'],1,3,40,"['#30daymapchallenge', '#30daymapchallenge']",[],https://twitter.com/SouthArrowMaps/status/1197749916946165760,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1197730678848151552,1197730661299212288,1574396221000,2019-11-21,23:17:01,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,#30DayMapChallenge on built-environment 2/2 pic.twitter.com/JEdWfp6ZAr,[],[],"['https://pbs.twimg.com/media/EJ8xsY5U8AI94MM.png', 'https://pbs.twimg.com/media/EJ8xsY6UYAEoN1L.png', 'https://pbs.twimg.com/media/EJ8xsY_U0AcO_Al.png', 'https://pbs.twimg.com/media/EJ8xsZAU4AAoF7O.png']",0,3,30,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1197730678848151552,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}]",
1197730661299212288,1197730661299212288,1574396217000,2019-11-21,23:16:57,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,Airport structures for #30DayMapChallenge on built-environment theme 1/2 pic.twitter.com/esXTfsso8d,[],[],"['https://pbs.twimg.com/media/EJ8xrimU0AAyZCQ.png', 'https://pbs.twimg.com/media/EJ8xrioVAAAimRu.png', 'https://pbs.twimg.com/media/EJ8xrinUEAAlwe3.png', 'https://pbs.twimg.com/media/EJ8xripU8AEY3xG.png']",7,29,195,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1197730661299212288,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}]",
1197723305999917057,1197723305999917057,1574394463000,2019-11-21,22:47:43,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 22 of #30DayMapChallenge – Built Environment:

Auckland CBD pic.twitter.com/SHQ58bduFB",[],[],['https://pbs.twimg.com/media/EJ8q_chUcAAURT3.jpg'],4,10,84,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1197723305999917057,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1197720947429707778,1190472318885208064,1574393901000,2019-11-21,22:38:21,EST,237889929,denisedslu,ಠ_ಠ,,"Day 20 of #30DayMapChallenge – Rural. Using different cut of same data from yesterday, here’s a dot density map of people living in rural food deserts, >20 miles from a supermarket! pic.twitter.com/QsFe4UE19g",[],[],['https://pbs.twimg.com/media/EJ8ow0kXUAAdUCW.jpg'],1,1,11,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1197720947429707778,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1197715690402258944,1197715690402258944,1574392647000,2019-11-21,22:17:27,EST,496514453,visualvariable,Travis White,,"#30DayMapChallenge

Day 21. Environment

Quivira NWR in central Kansas is a salt marsh & sand prairie habitat along the Central Flyway. Cranes, egrets, ibises, herons... if you're a birder this place is heaven. pic.twitter.com/6J6pAHbh7b",[],[],['https://pbs.twimg.com/media/EJ8kEVZWwAIk-8K.jpg'],1,0,14,['#30daymapchallenge'],[],https://twitter.com/visualvariable/status/1197715690402258944,False,,0,,,,,,,"[{'user_id': '496514453', 'username': 'visualvariable'}]",
1197714719316033538,1197714719316033538,1574392416000,2019-11-21,22:13:36,EST,359015182,7javier6,Javier,,"Ecorregions WWF of the World #30DayMapChallenge day 21
@ddiazescandon @WWF_LAC #TeamTrees pic.twitter.com/qIBHXvhESm","['ddiazescandon', 'wwf_lac']",[],"['https://pbs.twimg.com/media/EJ8i_c7WoAE_ue0.jpg', 'https://pbs.twimg.com/media/EJ8i_dBXYAEcnxD.jpg']",0,3,2,"['#30daymapchallenge', '#teamtrees']",[],https://twitter.com/7Javier6/status/1197714719316033538,False,,0,,,,,,,"[{'user_id': '359015182', 'username': '7Javier6'}, {'user_id': '85232878', 'username': 'ddiazescandon'}, {'user_id': '4236147694', 'username': 'WWF_LAC'}]",
1197705950024601600,1197705950024601600,1574390325000,2019-11-21,21:38:45,EST,83128968,rojo_neon,Máximo Ernesto Jaramillo Molina,,"Voy re-mal, pero este es mi aporte al #30daymapchallenge day 21 / enviroment.

Y como supuse desigualdad de acceso... En verde puse las áreas verdes de CDMX (🙃) y por atrás puse quintiles locales del índice de marginación de Conapo 😬 pic.twitter.com/BQpVGCM1D5",[],[],['https://pbs.twimg.com/media/EJ8bNZkWsAIqJcD.jpg'],1,5,28,['#30daymapchallenge'],[],https://twitter.com/rojo_neon/status/1197705950024601600,False,,0,,,,,,,"[{'user_id': '83128968', 'username': 'rojo_neon'}]",
1197702744460709890,1197702744460709890,1574389561000,2019-11-21,21:26:01,EST,2187485455,cesiumjs,Cesium,,"This would make a nice project for the #30DayMapChallenge 21- Environment.

@wgeary's work on Wayfinder 3D is also right on topic!  https://cesium.com/blog/2018/04/12/wayfinder3d/ … https://twitter.com/wgeary/status/1099763936646385664 …",['wgeary'],"['https://cesium.com/blog/2018/04/12/wayfinder3d/', 'https://twitter.com/wgeary/status/1099763936646385664']",[],1,3,14,['#30daymapchallenge'],[],https://twitter.com/CesiumJS/status/1197702744460709890,False,https://twitter.com/wgeary/status/1099763936646385664,0,,,,,,,"[{'user_id': '2187485455', 'username': 'CesiumJS'}, {'user_id': '31334384', 'username': 'wgeary'}]",
1197698656264175616,1190475062362677248,1574388586000,2019-11-21,21:09:46,EST,379176102,daniel_isita,D.,,"19. Urban
#30DayMapChallenge

Big cities of central Mexico.

#cities #mexico #qgis #maporn pic.twitter.com/A7qOptLcT4","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina']",[],['https://pbs.twimg.com/media/EJ8UJdwWoAAbis4.jpg'],1,2,12,"['#30daymapchallenge', '#cities', '#mexico', '#qgis', '#maporn']",[],https://twitter.com/daniel_isita/status/1197698656264175616,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}]",
1197693084240400384,1197693084240400384,1574387258000,2019-11-21,20:47:38,EST,309734801,samwise_v,Sam J,,"Not been able to anything today for #30DayMapChallenge other than an extremely rough and quick render of Sutton Park. At 2,400 acres it is apparently the largest urban park in Europe and - according to local legend - home to Barkfoot. pic.twitter.com/dWq3nXWbHY",[],[],['https://pbs.twimg.com/media/EJ8PfDkX0AAIqEf.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/samwise_v/status/1197693084240400384,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1197680237078704128,1197680237078704128,1574384194000,2019-11-21,19:56:34,EST,2782191579,joannamerson,Joanna Merson,,"Can this count as ""environment"" for the #30DayMapChallenge? They added to the cartographic-environment of today's tea snacks  :D https://twitter.com/Jim_Meacham/status/1197661796472983552 …",[],['https://twitter.com/Jim_Meacham/status/1197661796472983552'],[],0,0,25,['#30daymapchallenge'],[],https://twitter.com/JoannaMerson/status/1197680237078704128,False,https://twitter.com/Jim_Meacham/status/1197661796472983552,0,,,,,,,"[{'user_id': '2782191579', 'username': 'JoannaMerson'}]",
1197680099102986240,1197680099102986240,1574384162000,2019-11-21,19:56:02,EST,39364847,carolpos,carolina passos,,"19 Urban
São Paulo Metropolitan Area
aerial view + urban + elevation
#30DayMapChallenge pic.twitter.com/nMDSv9gJO7",[],[],['https://pbs.twimg.com/media/EJ8DrUIW4AIqxnt.jpg'],0,0,14,['#30daymapchallenge'],[],https://twitter.com/carolpos/status/1197680099102986240,False,,0,,,,,,,"[{'user_id': '39364847', 'username': 'carolpos'}]",
1197677429768118272,1197677429768118272,1574383525000,2019-11-21,19:45:25,EST,2187485455,cesiumjs,Cesium,,"#30DayMapChallenge 21-Environment

Eruptions, Earthquakes, and Emissions, built by @axismaps for @NMNH shows global #earthquake and #volcano data for the past 50 years.

 https://cesium.com/blog/2018/07/24/e3/ … pic.twitter.com/y8mcVl1TFi","['axismaps', 'nmnh']",['https://cesium.com/blog/2018/07/24/e3/'],[],0,2,14,"['#30daymapchallenge', '#earthquake', '#volcano']",[],https://twitter.com/CesiumJS/status/1197677429768118272,False,,1,,,,,,,"[{'user_id': '2187485455', 'username': 'CesiumJS'}, {'user_id': '31105670', 'username': 'axismaps'}, {'user_id': '14207863', 'username': 'NMNH'}]",
1197674083317624832,1197674083317624832,1574382727000,2019-11-21,19:32:07,EST,1132099800827088896,gustav_ahumada,Gustavo Ahumada,,#30DayMapChallenge: Day 21 environment. Average temperature for 2050 in Colombia. The source of data is  http://worldclim.org  #rstats #ggplot pic.twitter.com/kU0Bnj099j,[],['http://worldclim.org'],['https://pbs.twimg.com/media/EJ7-OMuWkAAwDyO.jpg'],0,2,7,"['#30daymapchallenge', '#rstats', '#ggplot']",[],https://twitter.com/Gustav_Ahumada/status/1197674083317624832,False,,0,,,,,,,"[{'user_id': '1132099800827088896', 'username': 'Gustav_Ahumada'}]",
1197667580133150721,1197474178284314625,1574381177000,2019-11-21,19:06:17,EST,17242884,maartenzam,Maarten Lambrechts,,That's exactly what I think about most of my #30DayMapChallenge entries :),['sannajokela1'],[],[],1,0,2,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1197667580133150721,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '3552542476', 'username': 'SannaJokela1'}]",
1197666611416698880,1197666611416698880,1574380946000,2019-11-21,19:02:26,EST,297915370,ruth_mottram,Ruth Mottram,,"This is rather beautiful (and a little bit mind-bending) , Japan in its geological context...

#30DayMapChallenge https://twitter.com/AdiBop_/status/1197539788703842304 …",[],['https://twitter.com/AdiBop_/status/1197539788703842304'],[],2,2,9,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1197666611416698880,False,https://twitter.com/AdiBop_/status/1197539788703842304,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197666009404063744,1197666009404063744,1574380802000,2019-11-21,19:00:02,EST,297915370,ruth_mottram,Ruth Mottram,,"I love this! The trees are coming back to the Cairngorms! Especially  Deeside in S + Boat of Garten in N.
Feshie estate (owned by danes) rewilding also visible.
Area has been denuded for years but pine forests have a special atmosphere here
#GoodNews in a #30DayMapChallenge https://twitter.com/_penguin_runner/status/1197556598413107200 …",[],['https://twitter.com/_penguin_runner/status/1197556598413107200'],[],0,3,8,"['#goodnews', '#30daymapchallenge']",[],https://twitter.com/ruth_mottram/status/1197666009404063744,False,https://twitter.com/_penguin_runner/status/1197556598413107200,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197664679398559744,1197664679398559744,1574380485000,2019-11-21,18:54:45,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 22 of #30DayMapChallenge: built environment

Urban Forest of Chimbarongo, #Chile | Bosque Urbano de Chimbarongo.

Data from @openstreetmap + #Rstats. Thanks to @openmapchile for getting that data there.  https://en.wikipedia.org/wiki/Chimbarongo …

Code:  https://gist.github.com/zentree/6f919928959101a5cae25102546c261d … pic.twitter.com/1qvXGJWaLm","['openstreetmap', 'openmapchile']","['https://en.wikipedia.org/wiki/Chimbarongo', 'https://gist.github.com/zentree/6f919928959101a5cae25102546c261d']",['https://pbs.twimg.com/media/EJ71q8yUYAANpUj.jpg'],1,1,6,"['#30daymapchallenge', '#chile', '#rstats']",[],https://twitter.com/zentree/status/1197664679398559744,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '992510221871435777', 'username': 'openmapchile'}]",
1197663659335417858,1197663659335417858,1574380242000,2019-11-21,18:50:42,EST,3346807874,emmavitz,Emma Vitz,,"Day 22 of the #30DayMapChallenge with the theme Built Environment. I compared how much was being spent on building new houses in 2019 compared to 1999 🏠.
The biggest growth was in the Mackenzie District, which jumped from 1.6m to 21m. I didn't expect that! #rspatial pic.twitter.com/1U1cSbwJIS",[],[],['https://pbs.twimg.com/media/EJ70vu9U4AAycu7.png'],1,1,15,"['#30daymapchallenge', '#rspatial']",[],https://twitter.com/EmmaVitz/status/1197663659335417858,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1197663517031223297,1197663512492941312,1574380208000,2019-11-21,18:50:08,EST,297915370,ruth_mottram,Ruth Mottram,,"A new category for next year maybe @tjukanov ?

#30DayMapChallenge",['tjukanov'],[],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1197663517031223297,False,,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1197663512492941312,1197663512492941312,1574380207000,2019-11-21,18:50:07,EST,297915370,ruth_mottram,Ruth Mottram,,"This should be done for more cities.

#30DayMapChallenge https://twitter.com/Arnold_Platon/status/1197661706283040769 …",[],['https://twitter.com/Arnold_Platon/status/1197661706283040769'],[],1,1,3,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1197663512492941312,False,https://twitter.com/Arnold_Platon/status/1197661706283040769,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197662672638095360,1197662672638095360,1574380007000,2019-11-21,18:46:47,EST,297915370,ruth_mottram,Ruth Mottram,,"Albert Thomas a French minister for armaments (I had to look him up) is apparently a bit more popular than Thomas Edison in France but Saint Thomas beats them both...

#30DayMapChallenge https://twitter.com/ThomasG77/status/1197574491817295874 …",[],['https://twitter.com/ThomasG77/status/1197574491817295874'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1197662672638095360,False,https://twitter.com/ThomasG77/status/1197574491817295874,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197661823459307521,1197661823459307521,1574379804000,2019-11-21,18:43:24,EST,297915370,ruth_mottram,Ruth Mottram,,"I remember noticing a lot of glacially striated bedrock in Helsinki last time I was there.. And indeed there is a lot

#30DayMapChallenge https://twitter.com/ttso/status/1197616895458975744 …",[],['https://twitter.com/ttso/status/1197616895458975744'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1197661823459307521,False,https://twitter.com/ttso/status/1197616895458975744,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197661706283040769,1197661706283040769,1574379776000,2019-11-21,18:42:56,EST,800277926348324864,arnold_platon,Arnold Platon,,"Day 15 of #30DayMapChallenge 🗺️
Topic: ""Names""

Streets bearing names in the city I grew up in🇷🇴
Names of men ♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️
And names of women ♀️. pic.twitter.com/loxaqRRAUJ",[],[],['https://pbs.twimg.com/media/EJ7y60SWoAEDTcb.jpg'],6,13,44,['#30daymapchallenge'],[],https://twitter.com/Arnold_Platon/status/1197661706283040769,False,,0,,,,,,,"[{'user_id': '800277926348324864', 'username': 'Arnold_Platon'}]",
1197661241650634752,1197661241650634752,1574379666000,2019-11-21,18:41:06,EST,297915370,ruth_mottram,Ruth Mottram,,"This is clever! I'd love one of these for Christmas - a map of Antarctica without the ice in a snowglobe...

#30DayMapChallenge https://twitter.com/iamreddave/status/1197620824078979078 …",[],['https://twitter.com/iamreddave/status/1197620824078979078'],[],0,1,2,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1197661241650634752,False,https://twitter.com/iamreddave/status/1197620824078979078,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197660714246098944,1197660714246098944,1574379540000,2019-11-21,18:39:00,EST,297915370,ruth_mottram,Ruth Mottram,,"Consistent decrease in the proportion of people living in rural areas since 1950.
Nice animation here #30DayMapChallenge https://twitter.com/AgroDer/status/1197655109653663744 …",[],['https://twitter.com/AgroDer/status/1197655109653663744'],[],0,1,1,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1197660714246098944,False,https://twitter.com/AgroDer/status/1197655109653663744,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197658941364133889,1197658941364133889,1574379117000,2019-11-21,18:31:57,EST,886193556,allisoncully,Allison Cully,,"Day 21: Environment
@ABbiodiversity ‘s massive 2010 land cover inventory with a dash of Living Atlas terrain layers.
#30DayMapChallenge #ArcGISPro pic.twitter.com/VKhfcrnH7p",['abbiodiversity'],[],['https://pbs.twimg.com/media/EJ7wdH5U4AAWimb.jpg'],0,2,10,"['#30daymapchallenge', '#arcgispro']",[],https://twitter.com/AllisonCully/status/1197658941364133889,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}, {'user_id': '432836522', 'username': 'ABbiodiversity'}]",
1197658849181929473,1197658849181929473,1574379095000,2019-11-21,18:31:35,EST,297915370,ruth_mottram,Ruth Mottram,,"A fascinating question - what is ""rural"" and a beautiful #dataviz for #30DayMapChallenge https://twitter.com/williamscraigm/status/1197421618101800960 …",[],['https://twitter.com/williamscraigm/status/1197421618101800960'],[],1,1,0,"['#dataviz', '#30daymapchallenge']",[],https://twitter.com/ruth_mottram/status/1197658849181929473,False,https://twitter.com/williamscraigm/status/1197421618101800960,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1197658807800926208,1197658807800926208,1574379085000,2019-11-21,18:31:25,EST,2236680859,rileydchampine,Riley D. Champine,,No time for a whole new map for the #30DayMapChallenge today 😢... but here's a crazy Landsat image I found of deforestation if Brazil... also 😢. Found while making this last year:  https://twitter.com/rileydchampine/status/1121820181381156864?s=20 … pic.twitter.com/65ulj1Vd7L,[],['https://twitter.com/rileydchampine/status/1121820181381156864?s=20'],['https://pbs.twimg.com/media/EJ7wVeVWwAMUsMW.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/rileydchampine/status/1197658807800926208,False,,0,,,,,,,"[{'user_id': '2236680859', 'username': 'rileydchampine'}]",
1197655109653663744,1197655109653663744,1574378204000,2019-11-21,18:16:44,EST,509842172,agroder,AgroDer,,"¿Vivir en una gran ciudad o en el campo?
🏞️🏙️
Detrás de la respuesta hay distintas circunstancias, sueños, necesidades y oportunidades.
La realidad: el mundo se ha urbanizado y la proporción de #PoblaciónRural disminuye.

% de #Población #Rural x país 1950-2018
#30DayMapChallenge pic.twitter.com/Yrf5xeCBLe",[],[],[],0,6,7,"['#poblaciónrural', '#población', '#rural', '#30daymapchallenge']",[],https://twitter.com/AgroDer/status/1197655109653663744,False,,1,,,,,,,"[{'user_id': '509842172', 'username': 'AgroDer'}]",
1197648636680822794,1190253562267340800,1574376660000,2019-11-21,17:51:00,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 21 (environment): Ecological value in my municipality (Diest, Belgium) pic.twitter.com/wVlokyB9dF","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper']",[],['https://pbs.twimg.com/media/EJ7nEyYWoAAxS28.jpg'],1,0,3,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1197648636680822794,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}]",
1197642352082456577,1197642352082456577,1574375162000,2019-11-21,17:26:02,EST,162456486,osornomarcela,Marcela Dolores Guerra Osorno,,"#Veracruz
Brecha de género en la tasa de ocupación del sector económico primario.

Los municipios con mayor igualdad se identifican de color más oscuro, mientras que los municipios con menor igualdad se observan en color más claro.

#30DayMapChallenge
#TidyTuesday pic.twitter.com/80wl3l6YWO",[],[],['https://pbs.twimg.com/media/EJ7hXG8W4AEZVUj.jpg'],0,10,15,"['#veracruz', '#30daymapchallenge', '#tidytuesday']",[],https://twitter.com/osornomarcela/status/1197642352082456577,False,,0,,,,,,,"[{'user_id': '162456486', 'username': 'osornomarcela'}]",
1197635859958452224,1197635859958452224,1574373614000,2019-11-21,17:00:14,EST,2239825712,iiegj,IIEG Jalisco,,#30DayMapChallenge Día 21. Medioambiente. Manifestaciones de Impacto Ambiental en el estado de Jalisco (2000-2019) pic.twitter.com/0RSwmATRpm,[],[],['https://pbs.twimg.com/media/EJ7bd5pW4AAWPoK.jpg'],0,2,4,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1197635859958452224,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1197635097710616576,1197635097710616576,1574373432000,2019-11-21,16:57:12,EST,822048926081712128,cchurchili,Carl Churchill,,"#30daymapchallenge #Paraguay is split between the vast Chaco savannah and wet Atlantic forests to the south.

This map uses a combination of #mapbox , #photoshop labels and some photos to highlight this little-known countries natural beauty. pic.twitter.com/S5vHSXp1Df",[],[],['https://pbs.twimg.com/media/EJ7awNAUUAAV__X.jpg'],0,4,22,"['#30daymapchallenge', '#paraguay', '#mapbox', '#photoshop']",[],https://twitter.com/Cchurchili/status/1197635097710616576,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1197630181764222976,1197630181764222976,1574372260000,2019-11-21,16:37:40,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 21: Environment
Slash-Burn agriculture in the Amazon.
#gis #geographyteacher #geography #cartography #maps #map #amazon #landsat #Landsat pic.twitter.com/R1rVzIddL9",[],[],['https://pbs.twimg.com/media/EJ7WRdZXUAEokbn.jpg'],0,1,1,"['#30daymapchallenge', '#gis', '#geographyteacher', '#geography', '#cartography', '#maps', '#map', '#amazon', '#landsat', '#landsat']",[],https://twitter.com/my_physical/status/1197630181764222976,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1197628980477730817,1197628980477730817,1574371974000,2019-11-21,16:32:54,EST,14992557,gontsa,gontsa,,"Protected areas in Volyn region, Ukraine.
Based on Openstreetmap contributors data
#30DayMapChallenge Day 21: Environment
Data: #OpenStreetMap contributors, #qgis pic.twitter.com/y03q6FetRK",[],[],['https://pbs.twimg.com/media/EJ7VMndWoCQVxMT.jpg'],2,8,30,"['#30daymapchallenge', '#openstreetmap', '#qgis']",[],https://twitter.com/gontsa/status/1197628980477730817,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1197626199930884096,1197626199930884096,1574371311000,2019-11-21,16:21:51,EST,1119202751718645760,vinodhdataart,Vinodh kumar V R,,"#30DayMapChallenge

14 - Boundaries

""Maritime Boundary between India and Srilanka""

@Mapbox @tableaupublic

Viz:  http://bit.ly/maritime_boundary … pic.twitter.com/9XtRwgIgO8","['mapbox', 'tableaupublic']",['http://bit.ly/maritime_boundary'],['https://pbs.twimg.com/media/EJ7SqjaVAAEl7h-.jpg'],2,0,9,['#30daymapchallenge'],[],https://twitter.com/VinodhDataArt/status/1197626199930884096,False,,0,,,,,,,"[{'user_id': '1119202751718645760', 'username': 'VinodhDataArt'}, {'user_id': '55236002', 'username': 'Mapbox'}, {'user_id': '519769200', 'username': 'tableaupublic'}, {'user_id': '1373519251', 'username': 'BMooreWasTaken'}]",
1197626021144600581,1197616183308103680,1574371268000,2019-11-21,16:21:08,EST,760094405369946112,hansakwast,Hans van der Kwast,,Good progress! Maybe you can tweet the final map on 26 November for day 26 (#hydrology) of the #30DayMapChallenge?,['amitdaiman'],[],[],1,0,1,"['#hydrology', '#30daymapchallenge']",[],https://twitter.com/hansakwast/status/1197626021144600581,False,,0,,,,,,,"[{'user_id': '760094405369946112', 'username': 'hansakwast'}, {'user_id': '429943662', 'username': 'AmitDaiman'}]",
1197621495318622208,1197621495318622208,1574370189000,2019-11-21,16:03:09,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 21: Environment
The #Delaware River basin land cover & hillshade, with inverted polygon shapeburst for cool drop shadow effect. Made in #QGIS 3.8 w/ @USGSLandCover & DEM pic.twitter.com/Mz376qJfep",['usgslandcover'],[],['https://pbs.twimg.com/media/EJ7OY0iWoAEJnK3.jpg'],0,0,9,"['#30daymapchallenge', '#delaware', '#qgis']",[],https://twitter.com/PhilPierdo/status/1197621495318622208,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '249829509', 'username': 'USGSLandCover'}]",
1197620907952549888,1197620907952549888,1574370049000,2019-11-21,16:00:49,EST,261631571,hendrikxleo,Leo,,"Day 21: Environment #30DayMapChallenge Threatened Environments Classification (2012)
Data:  https://koordinates.com/from/lris.scinfo.org.nz/layer/48288/ … pic.twitter.com/R2kFMTnPvf",[],['https://koordinates.com/from/lris.scinfo.org.nz/layer/48288/'],"['https://pbs.twimg.com/media/EJ7N2qmWoAULF0Z.jpg', 'https://pbs.twimg.com/media/EJ7N2rgW4AEaa-Y.jpg', 'https://pbs.twimg.com/media/EJ7N2rLWoAIggrl.jpg']",0,0,2,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1197620907952549888,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1197620824078979078,1197620824078979078,1574370029000,2019-11-21,16:00:29,EST,25662004,iamreddave,Still Dave,,Antarctica without the snow. Put in a snowglobe #30DayMapChallenge Day 21: environment pic.twitter.com/sdxkfh5cVJ,[],[],"['https://pbs.twimg.com/media/EJ7NrYHWoAMtn7V.jpg', 'https://pbs.twimg.com/media/EJ7NrYFWoAwjmv5.jpg']",0,2,11,['#30daymapchallenge'],[],https://twitter.com/iamreddave/status/1197620824078979078,False,,0,,,,,,,"[{'user_id': '25662004', 'username': 'iamreddave'}, {'user_id': '855303085', 'username': 'jen_mch'}]",
1197619497370374144,1197619497370374144,1574369713000,2019-11-21,15:55:13,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 21 #Environment
💧Sistemas de captación de agua de lluvia en la Ciudad de México

#QGIS pic.twitter.com/b7jokq7XlU",[],[],['https://pbs.twimg.com/media/EJ7MlAqX0AEAlTj.jpg'],0,5,9,"['#30daymapchallenge', '#environment', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1197619497370374144,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1197616895458975744,1197616895458975744,1574369093000,2019-11-21,15:44:53,EST,14130929,ttso,Tuija Sonkkila,,"#30DayMapChallenge Day 21: Environment. Many a photo by @signebrander reveals just how rocky @helsinki was not so long ago. There is still plenty of bedrock visible. The biggest one is ~31500 m2 on the Harakka Island, a busy artists colony. Code:  https://github.com/tts/mapchallenge/blob/master/bedrock.R … pic.twitter.com/ljoIHvvVxS","['signebrander', 'helsinki']",['https://github.com/tts/mapchallenge/blob/master/bedrock.R'],['https://pbs.twimg.com/media/EJ7EtFqWkAAJ_0k.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/ttso/status/1197616895458975744,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '785138112762613761', 'username': 'signebrander'}, {'user_id': '1114618434', 'username': 'helsinki'}]",
1197609642718875648,1197609642718875648,1574367363000,2019-11-21,15:16:03,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 21: vide. Reiz sabojāta vide dažreiz tiek arī salabota. 40 gadus pēc nosusināšanas Sārnates ezers atguva ūdeni un glītu, zīmīgi ģeometrisku formu. pic.twitter.com/7B2yKaa4dQ",[],[],['https://pbs.twimg.com/media/EJ7Dm-3WsAEDjcC.jpg'],1,2,15,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1197609642718875648,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1197609553761914893,1197609553761914893,1574367342000,2019-11-21,15:15:42,EST,108979413,patriloto,【𝑃𝑎𝑡𝑟𝑖𝑐𝑖𝑎 𝐿𝑜𝑡𝑜】,,"📍🗺️Para el 𝗱𝗶́𝗮 𝟲 de #30DayMapChallenge que corresponde al 𝐀𝐳𝐮𝐥 utilicé datos de educación de #TidyTuesday, el primo hermano de #datosdemieRcoles. Me inspiré en un  mapa realizadó por @AmandaRPlunkett.
 #rstatsES pic.twitter.com/Nxg7GEHbJG",[],[],['https://pbs.twimg.com/media/EJ7DiRLWsAAG1y_.png'],3,3,12,"['#30daymapchallenge', '#tidytuesday', '#datosdemiercoles', '#rstatses']",[],https://twitter.com/patriloto/status/1197609553761914893,False,,0,,,,,,,"[{'user_id': '108979413', 'username': 'patriloto'}]",
1197596098275221504,1196899944705212422,1574364134000,2019-11-21,14:22:14,EST,275677658,kgjenkins,Keith Jenkins,,"Day 2: lines
#30DayMapChallenge pic.twitter.com/76YN9W745d",[],[],['https://pbs.twimg.com/media/EJ63TYwWwAAOSOm.jpg'],1,0,6,['#30daymapchallenge'],[],https://twitter.com/kgjenkins/status/1197596098275221504,False,,0,,,,,,,"[{'user_id': '275677658', 'username': 'kgjenkins'}]",
1197590130380419073,1197590130380419073,1574362711000,2019-11-21,13:58:31,EST,982429849,pedro_com_es,Pedro Suárez,,"Hoy toca 'environment' en el #30DayMapChallenge y supongo que se trata de hacer algo sobre el medio ambiente, pero yo opté por mi entorno y mi anterior entorno, y salió esto. pic.twitter.com/yybY0OHcnJ",[],[],"['https://pbs.twimg.com/media/EJ6x2ywXsAEyI3E.jpg', 'https://pbs.twimg.com/media/EJ6x2y1WkAAEE1s.jpg']",0,0,2,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1197590130380419073,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}]",
1197589570650595330,1197589570650595330,1574362578000,2019-11-21,13:56:18,EST,257218656,descifra,DESCIFRA,,"Áreas naturales protegidas Mexico
 Day 21: Environment #30DayMapChallenge
#lovepredictinglocations #BigData pic.twitter.com/FimfajZyE0",[],[],['https://pbs.twimg.com/media/EJ6xXhzWsAA8r7u.jpg'],0,2,2,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1197589570650595330,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1197576576361259008,1197576576361259008,1574359480000,2019-11-21,13:04:40,EST,102093197,danc00ks0n,Dan Cookson,,"#30DayMapChallenge Day 21: environment.
UK Forests using Corine data
Created with @CARTO http://j.mp/UKForestMap ",['carto'],['http://j.mp/UKForestMap'],[],0,1,7,['#30daymapchallenge'],[],https://twitter.com/danc00ks0n/status/1197576576361259008,False,,0,,,,,,,"[{'user_id': '102093197', 'username': 'danc00ks0n'}, {'user_id': '241079136', 'username': 'CARTO'}]",
1197575696928907265,1197575696928907265,1574359270000,2019-11-21,13:01:10,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge
Day 21: Environmental -  Arctic Sea Ice Extent
Found an incredible scientific data research resource from NSIDC ( https://nsidc.org/data/masie/ ). I snagged 6 years of Arctic Sea Ice extent for today’s date.
#climatechangeisreal #meltingicecaps pic.twitter.com/U8q49LNkxd",[],['https://nsidc.org/data/masie/'],['https://pbs.twimg.com/media/EJ6kvtaXUAIS96E.jpg'],1,6,27,"['#30daymapchallenge', '#climatechangeisreal', '#meltingicecaps']",[],https://twitter.com/CRVanPollard/status/1197575696928907265,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}]",
1197575659658391552,1197575659658391552,1574359261000,2019-11-21,13:01:01,EST,235478148,bbroex,Bart Broex,,"#30DayMapChallenge nr. 19 (""Urban"") met wat vertraging. Hoe zit het met stedelijke dynamiek in beschermde gezichten en wederopbouwgebieden (uitsnedes Nijmegen en Westerhoutkwartier? Met gegevens van BAG-panden gemaakt en besproken met o.a.@_Peter_Timmer en @blomwederopbouw pic.twitter.com/OSKTCoFwvh","['_peter_timmer', 'blomwederopbouw']",[],"['https://pbs.twimg.com/media/EJ6ksxLX0AAGmmA.jpg', 'https://pbs.twimg.com/media/EJ6ksxSWwAEcn5h.jpg']",0,3,3,['#30daymapchallenge'],[],https://twitter.com/bbroex/status/1197575659658391552,False,,0,,,,,,,"[{'user_id': '235478148', 'username': 'bbroex'}, {'user_id': '611571725', 'username': '_Peter_Timmer'}, {'user_id': '2669231030', 'username': 'blomwederopbouw'}]",
1197574491817295874,1197574491817295874,1574358983000,2019-11-21,12:56:23,EST,82467442,thomasg77,Thomas gratier,,"#30DayMapChallenge Day 15 names ""Densité de rues mentionnant le nom ou prénom Thomas"" Particularité = recherche des autres mots associés et leur fréquence. Premier: la religion puis les grands hommes et quelques types de lieux: moulin, bois, clos, champ(s) pic.twitter.com/odJwCpX426",[],[],['https://pbs.twimg.com/media/EJ6iwFJXkAATG0H.jpg'],0,1,11,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1197574491817295874,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1197573649500426245,1197573649500426245,1574358782000,2019-11-21,12:53:02,EST,1192848641771393027,colmixe,Colmix,,"Esta es la historia del reto #30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre #México en un reto global  https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …
Mira/ Ejx @pajaropolitico en el @colmixe estamos haciendo el reto sobre datos de la #RegiónMixe
@iyil2019 @tjukanov","['pajaropolitico', 'colmixe', 'iyil2019', 'tjukanov']",['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,4,5,"['#30daymapchallenge', '#méxico', '#regiónmixe']",[],https://twitter.com/Colmixe/status/1197573649500426245,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}, {'user_id': '84613584', 'username': 'Pajaropolitico'}, {'user_id': '1052568338101141506', 'username': 'IYIL2019'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1197571150676725761,1197571150676725761,1574358186000,2019-11-21,12:43:06,EST,141981519,tajeewdr,Tajëëw,,"🕷️🐟🌱🦗 bichitos y plantitas #mixes
#30DayMapChallenge https://twitter.com/Colmixe/status/1197564587589197824 …",[],['https://twitter.com/Colmixe/status/1197564587589197824'],[],0,5,11,"['#mixes', '#30daymapchallenge']",[],https://twitter.com/TajeewDR/status/1197571150676725761,False,https://twitter.com/Colmixe/status/1197564587589197824,0,,,,,,,"[{'user_id': '141981519', 'username': 'TajeewDR'}]",
1197570741602009089,1197570741602009089,1574358089000,2019-11-21,12:41:29,EST,141981519,tajeewdr,Tajëëw,,"Oigan, el mapólogo del @Colmixe se está luciendo con los mapas de este #30DayMapChallenge

No se pierda ninguno!!
El último es de bichitos y plantas que llevan en su nombre la palabra #mixe :)
#ayuujk https://twitter.com/Colmixe/status/1192855827272675329 …",['colmixe'],['https://twitter.com/Colmixe/status/1192855827272675329'],[],0,7,14,"['#30daymapchallenge', '#mixe', '#ayuujk']",[],https://twitter.com/TajeewDR/status/1197570741602009089,False,https://twitter.com/Colmixe/status/1192855827272675329,0,,,,,,,"[{'user_id': '141981519', 'username': 'TajeewDR'}, {'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197570028461268992,1197570028461268992,1574357919000,2019-11-21,12:38:39,EST,3195365733,junevgt,Justine Vignat,,"Aujourd'hui pour le #30DayMapChallenge, je réutilisé la carte du volcanisme en Islande pour illustrer le thème ""Environnement"" #lageocasedessine https://twitter.com/Junevgt/status/1050416889673986050 …",[],['https://twitter.com/Junevgt/status/1050416889673986050'],[],2,3,18,"['#30daymapchallenge', '#lageocasedessine']",[],https://twitter.com/Junevgt/status/1197570028461268992,False,https://twitter.com/Junevgt/status/1050416889673986050,0,,,,,,,"[{'user_id': '3195365733', 'username': 'Junevgt'}]",
1197568695817650182,1191019284778098690,1574357601000,2019-11-21,12:33:21,EST,368711188,tweepsmap,Tweepsmap,,"Day 21 of #30DayMapChallenge: Environment

Map of environmentalists on twitter pic.twitter.com/1jugSJoZ4H",['tjukanov'],[],['https://pbs.twimg.com/media/EJ6eYeBWoAsqS51.jpg'],0,3,5,['#30daymapchallenge'],[],https://twitter.com/tweepsmap/status/1197568695817650182,False,,0,,,,,,,"[{'user_id': '368711188', 'username': 'tweepsmap'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1197564590554566656,1192855827272675329,1574356622000,2019-11-21,12:17:02,EST,1192848641771393027,colmixe,Colmix,,"Un chapulín: Melanoplus mixe
Un escarabajo: Falagrioma mixe
Una cícada: Ceratozamia mixensis
Un arbusto: Randia mixe
Un pez: Xiphophorus mixei
Una rana: Megastomatohyla mixe
Y otro escarabajo: Anomala mixeana
#30daymapchallenge",[],[],[],1,4,10,['#30daymapchallenge'],[],https://twitter.com/Colmixe/status/1197564590554566656,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197564587589197824,1192855827272675329,1574356622000,2019-11-21,12:17:02,EST,1192848641771393027,colmixe,Colmix,,"Día 21B: Medio Ambiente / #EtNääjx
¿Sabías que hay organismos que fueron nombrados en honor a la #RegiónMixe por ser el lugar donde se colectaron?
Estos organismos son:
Un tipo de mosca: Tlalocomyia mixensis
Una orquídea: Lepanthes mixe
Una araña: Ixchela mixe
#30daymapchallenge pic.twitter.com/roBOMO031T",[],[],['https://pbs.twimg.com/media/EJ6ao9yW4AgAk60.jpg'],1,8,17,"['#etnääjx', '#regiónmixe', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1197564587589197824,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197564576394555393,1192855827272675329,1574356619000,2019-11-21,12:16:59,EST,1192848641771393027,colmixe,Colmix,,"Día 21: Medio Ambiente / #Etnääjx
Gran parte de la #RegiónMixe está cubierta por bosques con vegetación secundaria, resultado de un manejo de más de 2,000 años de historia, si bien aún existen importantes superficies de bosques primarios.
#30daymapchallenge pic.twitter.com/JrZ8Pu1LP2",[],[],['https://pbs.twimg.com/media/EJ6aobvX0AEUArr.jpg'],1,6,6,"['#etnääjx', '#regiónmixe', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1197564576394555393,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197562696197136384,1197562696197136384,1574356171000,2019-11-21,12:09:31,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 1⃣8⃣ Globe:
A web map produced many years ago with @polimi colleagues: we exposed several historical maps as WMS & visualized them in @NASA_WorldWind virtual globe; the time slider shows maps according to their year.

Full paper: … https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-4/287/2012/isprsannals-I-4-287-2012.pdf … pic.twitter.com/Hdh9bpLme6","['polimi', 'nasa_worldwind']",['https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-4/287/2012/isprsannals-I-4-287-2012.pdf'],['https://pbs.twimg.com/media/EJ6Y6snX0AAT6rH.png'],0,1,6,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1197562696197136384,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '253099487', 'username': 'polimi'}, {'user_id': '4902113721', 'username': 'NASA_WorldWind'}]",
1197562478214995968,1197562478214995968,1574356119000,2019-11-21,12:08:39,EST,15719322,arieclaassens,Arie Claassens,,RT MapNav_Tom: The #30DayMapChallenge has shown that people are putting a lot more thought and effort into their map design. Certainly helped the leaps forward made by QGIS and Esri in making it easier to make good looking maps. The likes of tableau and Mapbox have pushed th…,[],[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/ArieClaassens/status/1197562478214995968,False,,0,,,,,,,"[{'user_id': '15719322', 'username': 'ArieClaassens'}]",
1197561052076097537,1197561052076097537,1574355779000,2019-11-21,12:02:59,EST,2194567850,umdfire,UMD FIRE,,"As sea surface temperature changes, purse seiners can target other species that are easier to catch. This map shows habitat of species in our study that can be caught using purse seines. They make up about 10% of all fish caught in the Pacific Ocean. 🐠#30DayMapChallenge pic.twitter.com/fP2hUrOJcm",[],[],['https://pbs.twimg.com/media/EJ6XbcwXkAAvbtD.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/umdfire/status/1197561052076097537,False,,0,,,,,,,"[{'user_id': '2194567850', 'username': 'umdfire'}]",
1197559245115445248,1197559245115445248,1574355348000,2019-11-21,11:55:48,EST,2756004123,emu_info,Emu Analytics,,"Are we hallucinating or is it just today's map in the #30DayMapChallenge looking groovy? The theme is ""Environment"" and we have visualised the various crops around England, from maize to wheat and everything in between. Have a look here:  https://locationinsights.co.uk/b/iV  pic.twitter.com/QO6BFQMpus",[],['https://locationinsights.co.uk/b/iV'],['https://pbs.twimg.com/media/EJ6VxNmWkAEV15X.jpg'],0,2,6,['#30daymapchallenge'],[],https://twitter.com/emu_info/status/1197559245115445248,False,,0,,,,,,,"[{'user_id': '2756004123', 'username': 'emu_info'}]",
1197556598413107200,1197556598413107200,1574354717000,2019-11-21,11:45:17,EST,223959960,_penguin_runner,Kirsten Reilly,,#30DayMapChallenge Day 21: Environment - Woodland land cover within the Cairngorm National Park 2000-2018 #woodland #opensource #copernicus #corinelandcover #cairngormnationalpark #QGIS #gischat #geography #cartography pic.twitter.com/y0Gi4zuHgH,[],[],[],0,2,18,"['#30daymapchallenge', '#woodland', '#opensource', '#copernicus', '#corinelandcover', '#cairngormnationalpark', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1197556598413107200,False,,1,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1197556568151248897,1195414877562646528,1574354710000,2019-11-21,11:45:10,EST,895591511768813569,statnmap,Sébastien Rochette,,"#30DayMapChallenge with #rspatial
21/30. Environment. What are the World annual precipitations?🌧️
Data from Worldclim. Use {raster} and {rgl} like in my previous blog post 🌐:  https://statnmap.com/2017-11-01-spatial-interpolation-on-earth-as-a-3d-sphere … #rstats pic.twitter.com/XnoKsFdueg","['jdatap', 'jmcastagnetto']",['https://statnmap.com/2017-11-01-spatial-interpolation-on-earth-as-a-3d-sphere'],[],1,3,5,"['#30daymapchallenge', '#rspatial', '#rstats']",[],https://twitter.com/StatnMap/status/1197556568151248897,False,,1,,,,,,,"[{'user_id': '895591511768813569', 'username': 'StatnMap'}, {'user_id': '1571967648', 'username': 'jdatap'}, {'user_id': '118526360', 'username': 'jmcastagnetto'}]",
1197555864619622401,1197555864619622401,1574354542000,2019-11-21,11:42:22,EST,2574612668,hireuter,hannes reuter,,"#30DayMapChallenge 21. Environment- #CORINE Land Cover from the @EUEnvironment -upper classifications with coastal water excl.(left), 2018 and full classifications(right), 2000 -thx2 @CopernicusEU data:  https://europa.eu/!qq86rc   - contrib by @EU_Eurostat E4 #GISCO Team - 9days2go pic.twitter.com/Ut2bi277ho","['euenvironment', 'copernicuseu', 'eu_eurostat']",['https://europa.eu/!qq86rc'],"['https://pbs.twimg.com/media/EJ6SruRXsAAVqPX.jpg', 'https://pbs.twimg.com/media/EJ6SruwXYAASabi.jpg']",1,4,12,"['#30daymapchallenge', '#corine', '#gisco']",[],https://twitter.com/hireuter/status/1197555864619622401,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '22362552', 'username': 'EUEnvironment'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}, {'user_id': '3880615822', 'username': 'CopernicusLand'}]",
1197555481587453954,1197555481587453954,1574354450000,2019-11-21,11:40:50,EST,381118369,mapnav_tom,Tom Armitage,,The #30DayMapChallenge has shown that people are putting a lot more thought and effort into their map design. Certainly helped the leaps forward made by @QGIS and @Esri in making it easier to make good looking maps. The likes of @tableau and @Mapbox have pushed things on too.,"['qgis', 'esri', 'tableau', 'mapbox']",[],[],3,2,23,['#30daymapchallenge'],[],https://twitter.com/MapNav_Tom/status/1197555481587453954,False,,0,,,,,,,"[{'user_id': '381118369', 'username': 'MapNav_Tom'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '16132791', 'username': 'Esri'}, {'user_id': '14792516', 'username': 'tableau'}, {'user_id': '55236002', 'username': 'Mapbox'}]",
1197555359151472640,1197528733948755968,1574354421000,2019-11-21,11:40:21,EST,14677077,the_claus,Claus Hesseling,"Hamburg, Germany",Ich schon. Denn wie Patrick schrieb: Die Karte von @wahlatlas ist ein Hobbyprojekt zur #30DayMapChallenge - und es geht ja vor allem um die Instrumentalisierung.,"['lorz', 'patrickstotz', 'chelm', 'a_tack', 'wahlatlas']",[],[],2,0,2,['#30daymapchallenge'],[],https://twitter.com/the_claus/status/1197555359151472640,False,,0,,,,,,,"[{'user_id': '14677077', 'username': 'the_claus'}, {'user_id': '15167742', 'username': 'lorz'}, {'user_id': '1205891161', 'username': 'PatrickStotz'}, {'user_id': '16310263', 'username': 'ChElm'}, {'user_id': '70192766', 'username': 'A_Tack'}, {'user_id': '36749252', 'username': 'wahlatlas'}]",
1197554054752276482,1197554054752276482,1574354110000,2019-11-21,11:35:10,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 21. Environment

Environmental restricted areas in France

Made with #QGIS pic.twitter.com/jXzNZqlXkQ",[],[],['https://pbs.twimg.com/media/EJ6Q6mSWoAAEJHg.jpg'],1,4,10,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1197554054752276482,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1197554013430059008,1197554013430059008,1574354100000,2019-11-21,11:35:00,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 21. Environment: Wetlands - in most parts of the world lost environments 🌍💦. Estonia has been blessed with many #wetlands -  almost 40 000 and ranging from 0.002 ha to 9000 ha in size 🤗 pic.twitter.com/8g28TBwXZT,[],[],['https://pbs.twimg.com/media/EJ6RBF1XYAABkXU.jpg'],0,3,20,"['#30daymapchallenge', '#wetlands']",[],https://twitter.com/evelynuuemaa/status/1197554013430059008,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1197551170442665984,1197551170442665984,1574353423000,2019-11-21,11:23:43,EST,414943174,benfriin,Ben,,"Day 21 of #30DayMapChallenge - Environment

Répartition des forêts publiques en France

#ONF #foret #publique
@ONF_Officiel pic.twitter.com/FMjEmRLevu",['onf_officiel'],[],['https://pbs.twimg.com/media/EJ6ObbhW4AEt1E6.jpg'],0,10,27,"['#30daymapchallenge', '#onf', '#foret', '#publique']",[],https://twitter.com/benfriin/status/1197551170442665984,False,,0,,,,,,,"[{'user_id': '414943174', 'username': 'benfriin'}, {'user_id': '794201274585640960', 'username': 'ONF_Officiel'}]",
1197545423461744642,1197545423461744642,1574352052000,2019-11-21,11:00:52,EST,977980418749210624,yuxtap,Yuxtap (History M-app),,#30DayMapChallenge (15. Names 16. Places) Some #baseball teams around the world on 2019. pic.twitter.com/yeAAHfOd7k,[],[],[],0,1,3,"['#30daymapchallenge', '#baseball']",[],https://twitter.com/yuxtap/status/1197545423461744642,False,,1,,,,,,,"[{'user_id': '977980418749210624', 'username': 'yuxtap'}]",
1197542396457889792,1197528733948755968,1574351331000,2019-11-21,10:48:51,EST,1205891161,patrickstotz,Patrick Stotz,,"Relevant wurde die Karte, weil sie von Fridays for Future retweetet wurde. Die Ursprungsquelle ist im eingebetteten Tweet ja direkt genannt. Ursprünglich war das ja nur ein schneller Beitrag für die #30DayMapChallenge","['lorz', 'the_claus', 'chelm', 'a_tack', 'wahlatlas']",[],[],2,0,3,['#30daymapchallenge'],[],https://twitter.com/PatrickStotz/status/1197542396457889792,False,,0,,,,,,,"[{'user_id': '1205891161', 'username': 'PatrickStotz'}, {'user_id': '15167742', 'username': 'lorz'}, {'user_id': '14677077', 'username': 'the_claus'}, {'user_id': '16310263', 'username': 'ChElm'}, {'user_id': '70192766', 'username': 'A_Tack'}, {'user_id': '36749252', 'username': 'wahlatlas'}]",
1197540705973014529,1197540705973014529,1574350928000,2019-11-21,10:42:08,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge
Day 21: Environment

Distribution of pollutant emissions (CO2) of RETC registry of @MMAChile / Distribución de emisiones contaminantes (CO2) del Registro de Emisiones y Transferencias de Contaminantes (RETC)

Data:  http://www.retc.cl/establecimientos-vu/ … pic.twitter.com/1SMl03ecpU",['mmachile'],['http://www.retc.cl/establecimientos-vu/'],['https://pbs.twimg.com/media/EJ6E6iYXUAA5Ttd.jpg'],2,10,23,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1197540705973014529,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '142687761', 'username': 'MMAChile'}]",
1197539788703842304,1197539788703842304,1574350709000,2019-11-21,10:38:29,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
17 - zones

bathymetric ""zones"" (too tenuous?) around Japan highlighting the deep ocean trench. will be difficult to get your head around because the focus is ocean not land. but...here we are - #alteryx #tableau
 https://public.tableau.com/views/TheOceanDepths/JapanDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link … pic.twitter.com/tk35cSSnC7",[],['https://public.tableau.com/views/TheOceanDepths/JapanDash?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link'],['https://pbs.twimg.com/media/EJ6EFHPWwAERWmF.jpg'],3,3,36,"['#30daymapchallenge', '#alteryx', '#tableau']",[],https://twitter.com/AdiBop_/status/1197539788703842304,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1197539396813279232,1197539396813279232,1574350616000,2019-11-21,10:36:56,EST,27186708,jccpmx,Carlos Cortés,,"Poblando la tierra. de 10,000AC-2017DC
History Database of the Global Environment #HYDE
#30DayMapChallenge Environment pic.twitter.com/VXbgtFq1pC",[],[],[],0,3,2,"['#hyde', '#30daymapchallenge']",[],https://twitter.com/jccpmx/status/1197539396813279232,False,,1,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1197539037885739010,1197539037885739010,1574350530000,2019-11-21,10:35:30,EST,797871767809380352,adibop_,A. D. Mac,,"#30DayMapChallenge
16 - places

old school digitising project done in #arcgis in the style of a tourist info map. a few years old but still going to say it fits for this month's challenge. pic.twitter.com/siHKj2J8W2",[],[],['https://pbs.twimg.com/media/EJ6DZ9kW4AEbz0d.jpg'],0,0,4,"['#30daymapchallenge', '#arcgis']",[],https://twitter.com/AdiBop_/status/1197539037885739010,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1197536303014916098,1197536303014916098,1574349878000,2019-11-21,10:24:38,EST,34737662,positium,Positium,,"Day 21 of the #30DayMapChallenge (environment): The most powerful rivers in the world
#maps #river #likeariver #worldmap #environment pic.twitter.com/o3MPxp0MMk",[],[],['https://pbs.twimg.com/media/EJ6A6OCX0AAhPnb.jpg'],0,0,8,"['#30daymapchallenge', '#maps', '#river', '#likeariver', '#worldmap', '#environment']",[],https://twitter.com/positium/status/1197536303014916098,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1197535805276917761,1197535805276917761,1574349759000,2019-11-21,10:22:39,EST,27186708,jccpmx,Carlos Cortés,,"Población rural en el mundo desde 10,000AC - 2017DC
#30DayMapChallenge Rural
fuente: proyecto HYDE pic.twitter.com/1NDhcWvqaq",[],[],[],0,5,10,['#30daymapchallenge'],[],https://twitter.com/jccpmx/status/1197535805276917761,False,,1,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1197526809501470721,1197526809501470721,1574347615000,2019-11-21,09:46:55,EST,2841114117,ing_ressive,Inga,,#30DayMapChallenge day 21: only 5 city districts in Hamburg having more trees than cars pic.twitter.com/NDWIEE0BAR,[],[],['https://pbs.twimg.com/media/EJ54QB6WsAAbklI.jpg'],2,17,31,['#30daymapchallenge'],[],https://twitter.com/ing_ressive/status/1197526809501470721,False,,0,,,,,,,"[{'user_id': '2841114117', 'username': 'ing_ressive'}]",
1197502882049904641,1197502882049904641,1574341910000,2019-11-21,08:11:50,EST,269294137,michelstuyts,Michel Stuyts 🌍,,#30DayMapChallenge day 21: some #environment data from Belgium.  NO2 concentrations in 2018. // data by @SMOG_BE and @openstreetmap pic.twitter.com/FjIQz0wCVI,"['smog_be', 'openstreetmap']",[],['https://pbs.twimg.com/media/EJ5ihTzWkAA9lxA.jpg'],0,0,4,"['#30daymapchallenge', '#environment']",[],https://twitter.com/michelstuyts/status/1197502882049904641,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '159563735', 'username': 'SMOG_BE'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1197486430219575297,1197486430219575297,1574337987000,2019-11-21,07:06:27,EST,797871767809380352,adibop_,A. D. Mac,,"#30daymapchallenge
15 - names

Buildings in London with some form of royal connection in the name.

done in #alteryx and #tableau. sneaky #mapbox in there too. not bored of this map style yet... 1 trick 🐴...

 https://public.tableau.com/views/Regal/Regal?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link … pic.twitter.com/e2r6SNVJBV",[],['https://public.tableau.com/views/Regal/Regal?:display_count=y&publish=yes&:toolbar=n&:origin=viz_share_link'],['https://pbs.twimg.com/media/EJ5TjLAXkAAwska.jpg'],12,10,80,"['#30daymapchallenge', '#alteryx', '#tableau', '#mapbox']",[],https://twitter.com/AdiBop_/status/1197486430219575297,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}]",
1197474475790483456,1197474475790483456,1574335137000,2019-11-21,06:18:57,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland",Mapping tree density in Kos for day 21 of the #30DayMapChallenge! pic.twitter.com/2EgnqafV7U,[],[],['https://pbs.twimg.com/media/EJ5IruQWwAEtyzL.jpg'],0,1,3,['#30daymapchallenge'],[],https://twitter.com/blanky343/status/1197474475790483456,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1197474178284314625,1197474178284314625,1574335066000,2019-11-21,06:17:46,EST,3552542476,sannajokela1,Sanna Jokela,,#30DayMapChallenge Day 21. Environment. Tree database of Helsinki. Trees classified by their max height. Looked nicer in QGIS layout composer and U think this could be something that I could work with a bit more :) pic.twitter.com/ExEzQXcpCD,[],[],['https://pbs.twimg.com/media/EJ5IZO9WoAA_1XS.jpg'],1,1,10,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1197474178284314625,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}]",
1197471136872665088,1197471136872665088,1574334341000,2019-11-21,06:05:41,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,"It is environment for #30DayMapChallenge today. so two maps - one, with Elephant Census Data 🐘and another from Tiger Census 🐯 - both showing population distribution across states. pic.twitter.com/QVRJOeSFpC",[],[],"['https://pbs.twimg.com/media/EJ5FoZ8U0AA4lAn.png', 'https://pbs.twimg.com/media/EJ5FoZ8UUAYpavH.png']",1,1,10,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1197471136872665088,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}, {'user_id': '1194286247277027329', 'username': 'ntca_india'}]",
1197462875566215168,1197462875566215168,1574332371000,2019-11-21,05:32:51,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge - Day 21 - Environment - Mapping peatbog environments in Ireland and UK using Corine land cover data. Kept thinking of that Simon and Garfunkel song but as 'Looking for fun and feeling boggy, Ba da-da da-da da-da, feeling boggy' 🎶😅 pic.twitter.com/Eh59tVLzsG",[],[],['https://pbs.twimg.com/media/EJ4-IMLXsAA_XOB.jpg'],2,4,18,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1197462875566215168,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1197462119656165376,1190196553165737984,1574332191000,2019-11-21,05:29:51,EST,41566604,pierrebrt,Pierre Breteau,,"Jour 21 du #30DayMapChallenge, aujourd'hui on part sur « environnement ». Je vous recycle ma carte des communes touchées par les arrêtés de restrictions après la catastrophe #lubrizol à Rouen. Et puis ses camemberts aussi.  https://www.lemonde.fr/les-decodeurs/article/2019/10/01/apres-lubrizol-20-des-terres-agricoles-de-seine-maritime-visees-par-des-restrictions_6013753_4355770.html … pic.twitter.com/P3GzHe4cfm",[],['https://www.lemonde.fr/les-decodeurs/article/2019/10/01/apres-lubrizol-20-des-terres-agricoles-de-seine-maritime-visees-par-des-restrictions_6013753_4355770.html'],"['https://pbs.twimg.com/media/EJ49cnFWkAAWckC.jpg', 'https://pbs.twimg.com/media/EJ49cm7WkAA3GOD.jpg']",1,0,1,"['#30daymapchallenge', '#lubrizol']",[],https://twitter.com/pierrebrt/status/1197462119656165376,False,,0,,,,,,,"[{'user_id': '41566604', 'username': 'pierrebrt'}]",
1197460816909328385,1197460816909328385,1574331881000,2019-11-21,05:24:41,EST,391136253,rustie5555,Rustie,,"An extended #30DayMapChallenge. Nov 14. Boundaries. 2020 General Electorate Boundaries as proposed by the Electoral Commission, with implied partisan lean... pic.twitter.com/KpfzwMJLOu",[],[],"['https://pbs.twimg.com/media/EJ48QmsU4AIb-pk.jpg', 'https://pbs.twimg.com/media/EJ48Qm8U4AE01Mj.jpg', 'https://pbs.twimg.com/media/EJ48QmuUYAAg2Pg.jpg', 'https://pbs.twimg.com/media/EJ48QmtVAAAUHdU.jpg']",2,1,2,['#30daymapchallenge'],[],https://twitter.com/rustie5555/status/1197460816909328385,False,,0,,,,,,,"[{'user_id': '391136253', 'username': 'rustie5555'}]",
1197458380375375874,1197458380375375874,1574331300000,2019-11-21,05:15:00,EST,1499547780,heikkivesanto,Heikki Vesanto,,Puffin nesting sites by number of birds. Data from @JNCC_UK #30DayMapChallenge #Day21 #Environment pic.twitter.com/1mJ0UyOHNx,['jncc_uk'],[],['https://pbs.twimg.com/media/EJzyPERXsAA9eeE.jpg'],1,1,11,"['#30daymapchallenge', '#day21', '#environment']",[],https://twitter.com/HeikkiVesanto/status/1197458380375375874,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}, {'user_id': '1181751938', 'username': 'JNCC_UK'}]",
1197455953525956608,1197455953525956608,1574330721000,2019-11-21,05:05:21,EST,2787878432,mildthing99,BC,,The distribution and scale of the world's biomes #30DayMapChallenge #ENVIRONMENT @tjukanov https://twitter.com/mildthing99/status/1091268143178240000?s=19 …,['tjukanov'],['https://twitter.com/mildthing99/status/1091268143178240000?s=19'],[],0,2,4,"['#30daymapchallenge', '#environment']",[],https://twitter.com/mildthing99/status/1197455953525956608,False,https://twitter.com/mildthing99/status/1091268143178240000,0,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1197454771441094657,1197454771441094657,1574330439000,2019-11-21,05:00:39,EST,140068360,geomniuk,GeomniUK,,"Day 21 of the #30DayMapChallenge - #Environment

London has recently become a #NationalPark and these land-use and volume of built environment maps show the significant extent of the green environment in Greater London.

@LondonNPC

(1/2) pic.twitter.com/G4ssgU8IY7",['londonnpc'],[],"['https://pbs.twimg.com/media/EJ42xBNWoAAXqDD.jpg', 'https://pbs.twimg.com/media/EJ42xBNW4AIh-5J.jpg']",1,2,3,"['#30daymapchallenge', '#environment', '#nationalpark']",[],https://twitter.com/GeomniUK/status/1197454771441094657,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}, {'user_id': '2241347358', 'username': 'LondonNPC'}]",
1197452851083124736,1197452851083124736,1574329981000,2019-11-21,04:53:01,EST,2198358416,tjukanov,Topi Tjukanov,,"Ecoregions of the world. Data:  https://ecoregions2017.appspot.com/
#30DayMapChallenge Day 21: environment. Created with #QGIS. pic.twitter.com/4xbCzQZgAC",[],['https://ecoregions2017.appspot.com/'],['https://pbs.twimg.com/media/EJ41A8VWwAAjQjk.jpg'],7,29,142,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/tjukanov/status/1197452851083124736,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1197452134989619204,1197452134989619204,1574329811000,2019-11-21,04:50:11,EST,22146490,joriseekhout,Joris Eekhout,,Day 21 (environment): These maps show the habitat and flow patterns of 4 pristine lowland streams in central Poland. The data were obtained in a field campaign in 2011. We also took macroinvertebrate samples and mapped terrestrial vegetation #30DayMapChallenge pic.twitter.com/pRnlpxyaRE,[],[],['https://pbs.twimg.com/media/EJ40W32X0AETYoZ.jpg'],0,0,9,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1197452134989619204,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1197450776500670464,1197450776500670464,1574329487000,2019-11-21,04:44:47,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
Día 21: Environment.

#Mapa de las barrancas de Margot o Chicasaw Blufts sobre el #Mississippi que la Nación Chicacha cede a la Nación Española para siempre... con los Límites siguientes... Año 1795. Archivo de #Simancas
Fulton (Tennesse, #EstadosUnidos #USA) pic.twitter.com/c6w5C482rB",[],[],['https://pbs.twimg.com/media/EJ4zIUlXsAAtdzI.jpg'],1,1,0,"['#30daymapchallenge', '#mapa', '#mississippi', '#simancas', '#estadosunidos', '#usa']",[],https://twitter.com/BurriezaMateos/status/1197450776500670464,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1197450100546650112,1197450100546650112,1574329326000,2019-11-21,04:42:06,EST,574015988,tycgis,TYC GIS Formación,,"🇲🇽 #30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre #México en un reto global.

Sigue leyendo:  https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …

Organizaciones y expertos se suman al reto internacional para generar #mapas sobre diferentes aspectos del país. pic.twitter.com/QN5KuDVGSY",[],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],['https://pbs.twimg.com/media/EJ4ygAIW4AAzqlG.jpg'],0,0,0,"['#30daymapchallenge', '#méxico', '#mapas']",[],https://twitter.com/tycgis/status/1197450100546650112,False,,0,,,,,,,"[{'user_id': '574015988', 'username': 'tycgis'}]",
1197449169301995521,1197449169301995521,1574329104000,2019-11-21,04:38:24,EST,33788841,dakvid,suǝbbıɹɟ pıʌɐp,,"My inspiration was environment, but I'll actually count this as Day 8 - ""green""
#30DayMapChallenge #QGIS pic.twitter.com/pawke3LBwE",[],[],['https://pbs.twimg.com/media/EJ4xqjFVAAAGzMu.jpg'],0,1,2,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/dakvid/status/1197449169301995521,False,,0,,,,,,,"[{'user_id': '33788841', 'username': 'dakvid'}]",
1197441214892650496,1197441214892650496,1574327207000,2019-11-21,04:06:47,EST,2787878432,mildthing99,BC,,"Are the stars out tonight?
Where can we find designated #DarkSkyPlaces to avoid #LightPollution?
Created using #Cascade @ArcGISStoryMaps #30DayMapChallenge #ENVIRONMENT @tjukanov
 https://twitter.com/mildthing99/status/949367855849594881?s=19 … pic.twitter.com/5GIu6LWlhQ","['arcgisstorymaps', 'tjukanov']",['https://twitter.com/mildthing99/status/949367855849594881?s=19'],[],0,3,4,"['#darkskyplaces', '#lightpollution', '#cascade', '#30daymapchallenge', '#environment']",[],https://twitter.com/mildthing99/status/1197441214892650496,False,,1,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '615300761', 'username': 'ArcGISStoryMaps'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1197440084410191872,1197440084410191872,1574326938000,2019-11-21,04:02:18,EST,818668655693004801,lgeospatial,Aaron Licker,,"Now inspired by the #30DayMapChallenge
Day #1:
Every street in Vancouver coloured by its phonetic first letter:
(ie 1st = ""F"" and Broadway = ""B"" and 62nd =""S"")

more weirdness to come! pic.twitter.com/XjVQuQeHX6",[],[],['https://pbs.twimg.com/media/EJ4pZuiUUAAwkcx.jpg'],1,2,4,['#30daymapchallenge'],[],https://twitter.com/LGeospatial/status/1197440084410191872,False,,0,,,,,,,"[{'user_id': '818668655693004801', 'username': 'LGeospatial'}]",
1197435793419190272,1197435793419190272,1574325915000,2019-11-21,03:45:15,EST,775431997112147972,marlenedorgny,Marlène Dorgny,,"#30DayMapChallenge Jour 21: environment.
Cartographie des vergers pédagogiques dans les écoles parisiennes #khartis et #Illustrator pic.twitter.com/udBnrf1Prl",[],[],['https://pbs.twimg.com/media/EJ4lfuAWwAApjJq.jpg'],0,0,3,"['#30daymapchallenge', '#khartis', '#illustrator']",[],https://twitter.com/MarleneDorgny/status/1197435793419190272,False,,0,,,,,,,"[{'user_id': '775431997112147972', 'username': 'MarleneDorgny'}]",
1197434503075115008,1197434503075115008,1574325607000,2019-11-21,03:40:07,EST,17448121,cadcorp,Cadcorp,,"#30DayMapChallenge - Day 21 - Environment - Earthquakes since 2000, in and around the UK. Downloaded from @BritGeoSurvey and run in #CadcorpSIS #GIS pic.twitter.com/UkRYmjubyt",['britgeosurvey'],[],[],0,0,2,"['#30daymapchallenge', '#cadcorpsis', '#gis']",[],https://twitter.com/cadcorp/status/1197434503075115008,False,,1,,,,,,,"[{'user_id': '17448121', 'username': 'cadcorp'}, {'user_id': '21793505', 'username': 'BritGeoSurvey'}]",
1197433397863424000,1197433397863424000,1574325343000,2019-11-21,03:35:43,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 21- environment

Sites of specific scientific interest. I focused on the Lake District and mapped SSSIs with average daily traffic flow next to them. I was shocked at the numbers. pic.twitter.com/riWyAgAZ97",[],[],['https://pbs.twimg.com/media/EJ4jLvuWwAAsr6T.jpg'],3,3,11,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1197433397863424000,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1197431196898201600,1197431196898201600,1574324819000,2019-11-21,03:26:59,EST,570767951,mirzacengic,Mirza Cengic,,"Don't have a lot of time for #30DayMapChallenge these days, have to submit a paper and write an application, but I hope to catch up with it later.

Meanwhile, here is a graph showing relationships between retweets and top users for #30DayMapChallenge hashtag for last 3 days. pic.twitter.com/4LuK7WQ4PA",[],[],['https://pbs.twimg.com/media/EJ4hUUpWkAAzHku.jpg'],0,0,13,"['#30daymapchallenge', '#30daymapchallenge']",[],https://twitter.com/mirzacengic/status/1197431196898201600,False,,0,,,,,,,"[{'user_id': '570767951', 'username': 'mirzacengic'}]",
1197431138228350976,1197431138228350976,1574324805000,2019-11-21,03:26:45,EST,153718180,craigtaylorgis,Craig Taylor,,"#30DayMapChallenge Day 21: Environment 🌳

Experimental #animation of all the trees in #NYC ... raining from the sky. Sorted by date they were added to the dataset.

Data via:  https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh …
#maps #3d pic.twitter.com/or3YQ7mNg7",[],['https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh'],[],1,9,64,"['#30daymapchallenge', '#animation', '#nyc', '#maps', '#3d']",[],https://twitter.com/CraigTaylorGIS/status/1197431138228350976,False,,1,,,,,,,"[{'user_id': '153718180', 'username': 'CraigTaylorGIS'}]",
1197428204732067841,1197428204732067841,1574324105000,2019-11-21,03:15:05,EST,393905106,iservia,Ignasi Servià,,"En el #iaguaMagazine #23 #Agro comentaba que ""La Constancia es de gran importancia para tener éxito en la comunicación""

21 Mapas del reto #30DayMapChallenge, muchos con un post @iagua. pic.twitter.com/GvsBL5UduA",['iagua'],[],"['https://pbs.twimg.com/media/EJ4emQsX0AAfPiV.jpg', 'https://pbs.twimg.com/media/EJ4emQmXkAAf35y.png']",0,0,4,"['#iaguamagazine', '#agro', '#30daymapchallenge']",[],https://twitter.com/iservia/status/1197428204732067841,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}]",
1197427611942686720,1197426258390454272,1574323964000,2019-11-21,03:12:44,EST,2198358416,tjukanov,Topi Tjukanov,,This wasn't my #30DayMapChallenge post although it would qualify in the theme.,[],[],[],0,0,3,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1197427611942686720,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}]",
1197425434876694528,1197425434876694528,1574323445000,2019-11-21,03:04:05,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
Map_21. Environment

El post de @iagua es 3, 2, 1… ¡Agro!,

Agricultura  Variable para minimizar la contaminación difusa en la agricultura de regadío.
3⃣Teledetección.
2⃣Prescripción.
1⃣Aplicación.

 https://www.iagua.es/blogs/ignasi-servia-goixart/321-agro … pic.twitter.com/M2B9LhJxqI",['iagua'],['https://www.iagua.es/blogs/ignasi-servia-goixart/321-agro'],"['https://pbs.twimg.com/media/EJ4cEu_WkAAUjrA.png', 'https://pbs.twimg.com/media/EJ4cEvBXUAE8DqF.jpg', 'https://pbs.twimg.com/media/EJ4cEvBW4AAmKJc.jpg', 'https://pbs.twimg.com/media/EJ4cEvAWoAEMjMG.jpg']",0,0,5,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1197425434876694528,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}, {'user_id': '85864069', 'username': 'amaceira'}, {'user_id': '226878029', 'username': 'davizescobar'}]",
1197421618101800960,1197421618101800960,1574322535000,2019-11-21,02:48:55,EST,165669854,williamscraigm,Craig Williams,,"#30DayMapChallenge Day 20: Rural. Quick one today. What defines rural? For some it's just area that's not urban. So, how far from urban areas and clusters are portions of the US? (Yes, obvious border effects here, but not everyone can easily cross a border these days.) pic.twitter.com/kBKNR8aUSI",[],[],['https://pbs.twimg.com/media/EJ4Ym8jVUAETKOT.jpg'],0,2,15,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1197421618101800960,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1197421544965849088,1195817786829889537,1574322517000,2019-11-21,02:48:37,EST,706158714995269632,pivaurelien,Aurélien,,"(le coloriage c'est toujours pas ça 🙈)

Jour 21 - Environnement - #30DayMapChallenge

La gestion durable d'un milieu littoral : le golfe du #Morbihan. pic.twitter.com/O8cpDGPsld",[],[],['https://pbs.twimg.com/media/EJ4YhvAXsAAZD2T.jpg'],1,0,1,"['#30daymapchallenge', '#morbihan']",[],https://twitter.com/pivaurelien/status/1197421544965849088,False,,0,,,,,,,"[{'user_id': '706158714995269632', 'username': 'pivaurelien'}]",
1197420631416922113,1197420631416922113,1574322300000,2019-11-21,02:45:00,EST,138083232,swiss_geoportal,geo.admin.ch,,[EN]  map of the earthquakes of the last 90 days shows the current seismic activity in #Switzerland and the nearby regions recorded by @seismoCH_D at the @ETH_en live  https://s.geo.admin.ch/85aef895f1  #30DayMapChallenge #environment pic.twitter.com/SyeS5TbLji,"['seismoch_d', 'eth_en']",['https://s.geo.admin.ch/85aef895f1'],['https://pbs.twimg.com/media/EJvEwqQWkAQICqb.jpg'],0,2,5,"['#switzerland', '#30daymapchallenge', '#environment']",[],https://twitter.com/swiss_geoportal/status/1197420631416922113,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '1673281741', 'username': 'seismoCH_D'}, {'user_id': '204279080', 'username': 'ETH_en'}]",
1197418950390374400,1197127165789327360,1574321899000,2019-11-21,02:38:19,EST,393905106,iservia,Ignasi Servià,,"El link en el tweet anterior era el que explicaba el #30DayMapChallenge

El link del post ""La Catalunya rural y el agua"" es 👇👇
 https://www.iagua.es/blogs/ignasi-servia-goixart/catalunya-rural-y-agua …
🙏🙏","['iagua', 'joseanrdelacruz', 'yerseyowen', 'agroiagua', 'amaceira', 'xadur', 'ruralcat', 'marianosoto1972', 'agrobialar', 'csarmarcos', 'jlopezcol', 'isabelbombal1', 'mfernandezsanz', 'agro20']",['https://www.iagua.es/blogs/ignasi-servia-goixart/catalunya-rural-y-agua'],[],0,2,3,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1197418950390374400,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}, {'user_id': '1066765896297979904', 'username': 'joseanRdelaCRUZ'}, {'user_id': '155971716', 'username': 'YerseyOwen'}, {'user_id': '3214044575', 'username': 'AgroiAgua'}, {'user_id': '85864069', 'username': 'amaceira'}, {'user_id': '164356072', 'username': 'xadur'}, {'user_id': '16402948', 'username': 'ruralcat'}, {'user_id': '886912789', 'username': 'MarianoSoto1972'}, {'user_id': '3288611703', 'username': 'agrobialar'}, {'user_id': '317752057', 'username': 'CsarMarcos'}, {'user_id': '304030880', 'username': 'jlopezcol'}, {'user_id': '490538561', 'username': 'Isabelbombal1'}, {'user_id': '4849581928', 'username': 'mfernandezsanz'}, {'user_id': '18616735', 'username': 'agro20'}]",
1197406668050587648,1197406668050587648,1574318971000,2019-11-21,01:49:31,EST,43953969,jwolondon,Jo Wood,,"Day 21: Environment

Around 9000 people in London die annually due to polluted air, largely because of motor traffic.  https://www.london.gov.uk/sites/default/files/hiainlondon_kingsreport_14072015_final.pdf …

Experimenting with rhetorical mapping. See also  https://www.gicentre.net/blog/2013/11/24/risk-cycling-and-denominator-neglect …

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d21Environment.md …
#30DayMapChallenge pic.twitter.com/ryxtwCudDy",[],"['https://www.london.gov.uk/sites/default/files/hiainlondon_kingsreport_14072015_final.pdf', 'https://www.gicentre.net/blog/2013/11/24/risk-cycling-and-denominator-neglect', 'https://github.com/jwoLondon/30dayMapChallenge/blob/master/d21Environment.md']",['https://pbs.twimg.com/media/EJ4LA2wXsAIbNQ6.jpg'],2,3,6,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1197406668050587648,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1197404960020975616,1197404960020975616,1574318563000,2019-11-21,01:42:43,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Dia 20. Urbano (Urban)

Rutas del transporte público concesionado de la #CDMX con las carpetas de investigación de ""ROBO A PASAJERO A BORDO DE PESERO COLECTIVO CON VIOLENCIA""

Porque parte de vivir en una zona urbana es el riesgo de que te roben en el camión pic.twitter.com/uRndjM2cQj",[],[],['https://pbs.twimg.com/media/EJ4JdW-XkAEJn-A.png'],1,10,28,"['#30daymapchallenge', '#cdmx']",[],https://twitter.com/JuvenalCamposF/status/1197404960020975616,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}]",
1197400159690350593,1190472318885208064,1574317419000,2019-11-21,01:23:39,EST,237889929,denisedslu,ಠ_ಠ,,"Day 19 of #30DayMapChallenge - Urban. Here’s a dot density map of people living in food deserts in New York, based on census tract-level data from USDA. pic.twitter.com/1dKArqqGf6",[],[],['https://pbs.twimg.com/media/EJ4FFFNWkAAdbrN.jpg'],1,0,2,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1197400159690350593,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1197400087988596738,1197400087988596738,1574317402000,2019-11-21,01:23:22,EST,822048926081712128,cchurchili,Carl Churchill,,"Got in late tonight from my flight, but had enough time for the #30daymapchallenge to throw some agricultural data up.

This is farmland in the Mississippi delta colored by crop-type from the NASS CDL dataset. pic.twitter.com/qH6jmAfy2c",[],[],['https://pbs.twimg.com/media/EJ4FCAbU4AAp-iT.png'],0,0,9,['#30daymapchallenge'],[],https://twitter.com/Cchurchili/status/1197400087988596738,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1197398480802574336,1197398480802574336,1574317019000,2019-11-21,01:16:59,EST,799835587104514048,chisatini,Chisato,,"#30DayMapChallenge - Urban vs Rural - Postal code in  🇨🇦 is a six-character string with format H0H 0H0🎅 where H is a letter and 0 is a digit, 2nd slot determines if the region is rural or urbanized! (wiki:  http://bit.ly/2XIlKnL ).  Shape file  from @StatCan_eng site. pic.twitter.com/Mq1plmVuU1",['statcan_eng'],['http://bit.ly/2XIlKnL'],"['https://pbs.twimg.com/media/EJ4DkMpUUAEoJo-.jpg', 'https://pbs.twimg.com/media/EJ4DkMqUUAANiLQ.jpg']",1,2,11,['#30daymapchallenge'],[],https://twitter.com/chisatini/status/1197398480802574336,False,,0,,,,,,,"[{'user_id': '799835587104514048', 'username': 'chisatini'}, {'user_id': '16926550', 'username': 'StatCan_eng'}]",
1197397981277884416,1197397981277884416,1574316899000,2019-11-21,01:14:59,EST,2205978287,alsuhailfaris,Faris Alsuhail,,Environment! Finnish _Environment_ Institute is in Viikki and here's a motion-blurry glimpse of its _environnement_. Data: @Helsinki3D / @helsinki #30DayMapChallenge #blender #b3d #viikki #syke #opensource #opendata pic.twitter.com/omEeWZaWpT,"['helsinki3d', 'helsinki']",[],[],1,0,10,"['#30daymapchallenge', '#blender', '#b3d', '#viikki', '#syke', '#opensource', '#opendata']",[],https://twitter.com/AlsuhailFaris/status/1197397981277884416,False,,1,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '917285873758228480', 'username': 'Helsinki3D'}, {'user_id': '1114618434', 'username': 'helsinki'}]",
1197393126811303937,1197393126811303937,1574315742000,2019-11-21,00:55:42,EST,3346807874,emmavitz,Emma Vitz,,"Day 21 of the #30DayMapChallenge with the theme Environment. I looked at the maximum wind & rain across NZ over the past 40 years from reanalysis data.
Reanalysis data is not an observation - it's a way of getting data for all points & time periods using observations and a model pic.twitter.com/QrXDJEGQYR",[],[],"['https://pbs.twimg.com/media/EJ3-sbgUUAEVvSN.png', 'https://pbs.twimg.com/media/EJ3-sbhVAAc4AfX.png']",2,5,37,['#30daymapchallenge'],[],https://twitter.com/EmmaVitz/status/1197393126811303937,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1197384503205023748,1197384503205023748,1574313686000,2019-11-21,00:21:26,EST,285268642,pj_go_2020,PJ #GISTonicker,"Milan, Lombardy",Day21 #environment #30DayMapChallenge pic.twitter.com/RDveeR4DPC,[],[],['https://pbs.twimg.com/media/EJ322PzWwAA5sHt.jpg'],0,0,2,"['#environment', '#30daymapchallenge']",[],https://twitter.com/pj_go_2020/status/1197384503205023748,False,,0,,,,,,,"[{'user_id': '285268642', 'username': 'pj_go_2020'}]",
1197377446581923841,1192661026124120064,1574312004000,2019-11-20,23:53:24,EST,748038863206088704,yavannie24,Shannon Gonzales,,"#30DayMapChallenge
20. Rural - Central Prince Edward Island, Canada 🇨🇦
This map is basically just imagery, but I love rural countryside land patterns and I found this particular section of PEI incredibly intricate and beautiful. pic.twitter.com/jEWYRVa5Uc",[],[],['https://pbs.twimg.com/media/EJ3wcFFU8AA11-K.jpg'],2,2,10,['#30daymapchallenge'],[],https://twitter.com/yavannie24/status/1197377446581923841,False,,0,,,,,,,"[{'user_id': '748038863206088704', 'username': 'yavannie24'}]",
1197372079173189633,1197372079173189633,1574310724000,2019-11-20,23:32:04,EST,972970855029493760,kendelldotio,Kendell Welch,,#30DayMapChallenge Day 20 is rural. Here is a quick LiDAR elevation analysis of a portion of the Driftless Area in Wisconsin. #cartography #GIS #LiDAR pic.twitter.com/dnMKj1pdmr,[],[],['https://pbs.twimg.com/media/EJ3rjmzXkAA3bxA.jpg'],0,1,1,"['#30daymapchallenge', '#cartography', '#gis', '#lidar']",[],https://twitter.com/kendelldotio/status/1197372079173189633,False,,0,,,,,,,"[{'user_id': '972970855029493760', 'username': 'kendelldotio'}]",
1197350118808281093,1197350118808281093,1574305488000,2019-11-20,22:04:48,EST,2236680859,rileydchampine,Riley D. Champine,,This map shows where you're more likely to find a rural juror in the continental US. Inspired by #30Rock -->  https://www.youtube.com/watch?v=6kZBJs527-k …. #30DayMapChallenge Day 20 #Cartography pic.twitter.com/BuizcxlNSr,[],['https://www.youtube.com/watch?v=6kZBJs527-k'],['https://pbs.twimg.com/media/EJ3XlAAWsAA2Mqn.jpg'],1,1,16,"['#30rock', '#30daymapchallenge', '#cartography']",[],https://twitter.com/rileydchampine/status/1197350118808281093,False,,0,,,,,,,"[{'user_id': '2236680859', 'username': 'rileydchampine'}]",
1197340861022920704,1197340861022920704,1574303281000,2019-11-20,21:28:01,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 21 of #30DayMapChallenge – Environment:

Auckland's Regional Parks pic.twitter.com/wLBn6x9pfm",[],[],['https://pbs.twimg.com/media/EJ3PKLwU4AAc2Hp.jpg'],2,2,15,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1197340861022920704,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1197339865219768320,1197339865219768320,1574303044000,2019-11-20,21:24:04,EST,496514453,visualvariable,Travis White,,"#30DayMapChallenge

Day 20. Rural

The 2010 US census classifies 44 out of 105 Kansas county populations as 100% rural. h/t to @onestopmap for mapping the same idea. pic.twitter.com/VnpqiyU9AC",['onestopmap'],[],['https://pbs.twimg.com/media/EJ3OQVMXYAAG605.jpg'],2,2,19,['#30daymapchallenge'],[],https://twitter.com/visualvariable/status/1197339865219768320,False,,0,,,,,,,"[{'user_id': '496514453', 'username': 'visualvariable'}, {'user_id': '1454843694', 'username': 'onestopmap'}]",
1197331872432435200,1197331872432435200,1574301138000,2019-11-20,20:52:18,EST,82467442,thomasg77,Thomas gratier,,"#30DayMapChallenge Day 14 boundaries ""Viewpoints from Berlin East and Berlin West"" nowadays. Inspired by Map Men episode about ""Berlin Wall - Maps With Gaps""  https://www.youtube.com/watch?v=kwprznh3d-o … pic.twitter.com/eYIGBp2m3x",[],['https://www.youtube.com/watch?v=kwprznh3d-o'],['https://pbs.twimg.com/media/EJ3GysQWwAAotXW.jpg'],0,2,4,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1197331872432435200,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1197329454298796033,1197329454298796033,1574300561000,2019-11-20,20:42:41,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 19 - Urban: Wrestling with Qgis2threejs, I managed this glitchy, blocky, 3D scene of building heights in Center City, Philadelphia pic.twitter.com/CvSEM2goAv",[],[],['https://pbs.twimg.com/media/EJ3EhxUWoAAVf4f.jpg'],0,0,7,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1197329454298796033,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1197326064521023491,1197326064521023491,1574299753000,2019-11-20,20:29:13,EST,166348278,themapaddict,Richard Petry,,"Top story: @onestopmap: 'The #30DayMapChallenge theme for today is “rural” and that hits home for me, being from a small village. Here’s the artificial archipelago formed by Dutch municipalities with a majority of their…  pic.twitter.com/6QlLBtObAP, see more  http://tweetedtimes.com/v/1527?s=tnp ",['onestopmap'],['http://tweetedtimes.com/v/1527?s=tnp'],['https://pbs.twimg.com/media/EJ0rDOKXYAINpxW.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/TheMapAddict/status/1197326064521023491,False,,0,,,,,,,"[{'user_id': '166348278', 'username': 'TheMapAddict'}, {'user_id': '1454843694', 'username': 'onestopmap'}]",
1197321721981915136,1197321721981915136,1574298718000,2019-11-20,20:11:58,EST,260088313,juvenalcamposf,Juvenal,,"#30DayMapChallenge

Dia 18 (Retrasado). Globo (Globe).

Países del mundo coloreados en función de su consumo de alcohol en mayores de 15 años. Datos de  http://OurWorldInData.Org .

Enlace para que jueguen con la pelotita:
 https://juvecampos.shinyapps.io/shinyAlcohol/
#RStats #Shiny pic.twitter.com/ykOLm4WyHS",[],"['http://OurWorldInData.Org', 'https://juvecampos.shinyapps.io/shinyAlcohol/']",['https://pbs.twimg.com/media/EJ29waQW4AI5wLE.jpg'],1,15,34,"['#30daymapchallenge', '#rstats', '#shiny']",[],https://twitter.com/JuvenalCamposF/status/1197321721981915136,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}]",
1197311864344137728,1197179537580277760,1574296368000,2019-11-20,19:32:48,EST,14344140,darenw,Daren Willman,,Day eleven of the #30DayMapChallenge (elevation)... Breaking down the elevation of each #MLB stadium. #Coors pic.twitter.com/wrZ2VSksGE,[],[],['https://pbs.twimg.com/media/EJ20xg7XsAAleWo.jpg'],11,16,90,"['#30daymapchallenge', '#mlb', '#coors']",[],https://twitter.com/darenw/status/1197311864344137728,False,,0,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}]",
1197308337638891520,1197308337638891520,1574295527000,2019-11-20,19:18:47,EST,1067216664444338176,gerard_mauro,Gerardo Najera,,El índice de envejecimiento nos dice el numero personas adultas mayores por cada 100 niños y jóvenes.En México es de 38. La CDMX es la entidad con el índice más alto con 71.7 mientras que Quintana Roo la más baja con 22.9. #rstats #30DayMapChallenge #rstatsES #datosdemiercoles pic.twitter.com/CLw4FIY4rn,[],[],['https://pbs.twimg.com/media/EJ2xldIUEAETtUr.jpg'],2,5,2,"['#rstats', '#30daymapchallenge', '#rstatses', '#datosdemiercoles']",[],https://twitter.com/Gerard_Mauro/status/1197308337638891520,False,,0,,,,,,,"[{'user_id': '1067216664444338176', 'username': 'Gerard_Mauro'}]",
1197294035397992450,1197294035397992450,1574292117000,2019-11-20,18:21:57,EST,155965570,danidlsa,Daniela de los Santos,,"#30DayMapChallenge Day 20: Rural

Rural population in Uruguay, by department. | Población rural en Uruguay, por departamento.

Code 👇 https://github.com/danidlsa/30daymapchallenge/blob/master/rural.R …
#rstats #rstatsES #datosdemiercoles pic.twitter.com/jRwQJyoOdm",[],['https://github.com/danidlsa/30daymapchallenge/blob/master/rural.R'],['https://pbs.twimg.com/media/EJ2kkt2WkAAunur.png'],0,8,10,"['#30daymapchallenge', '#rstats', '#rstatses', '#datosdemiercoles']",[],https://twitter.com/danidlsa/status/1197294035397992450,False,,0,,,,,,,"[{'user_id': '155965570', 'username': 'danidlsa'}]",
1197293852865880064,1197293852865880064,1574292073000,2019-11-20,18:21:13,EST,886193556,allisoncully,Allison Cully,,"Day 20: Rural
My home province of Alberta with #ArcGISPro and #Photoshop on a photo of my actual notebook (complete with the coffee stain that rendered it dead to me)
#30DayMapChallenge pic.twitter.com/B91N2hMgyS",[],[],['https://pbs.twimg.com/media/EJ2kaW3U4AA9Mkg.jpg'],0,0,17,"['#arcgispro', '#photoshop', '#30daymapchallenge']",[],https://twitter.com/AllisonCully/status/1197293852865880064,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1197290402698743808,1197290402698743808,1574291251000,2019-11-20,18:07:31,EST,2239825712,iiegj,IIEG Jalisco,,#30DayMapChallenge Día 20. Rural. Esta es la frontera agrícola en el estado de Jalisco. pic.twitter.com/d8n3VPCwHU,[],[],['https://pbs.twimg.com/media/EJ2hRoxWoAAFLUj.jpg'],1,3,17,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1197290402698743808,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1197290120006774785,1197290120006774785,1574291183000,2019-11-20,18:06:23,EST,1189776035295961089,jlolarteq,jlOlarteQ,,"#30DayMapChallenge Day 19 Urban and Day 20 Rural. Degree of urbanisation as used in the European Statistical System, applied to Mexico (Source: INEGI. Population and Housing Census 2010). pic.twitter.com/a2QcBVUMhh",[],[],['https://pbs.twimg.com/media/EJ2hA3WWwAABOVR.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/jlOlarteQ/status/1197290120006774785,False,,0,,,,,,,"[{'user_id': '1189776035295961089', 'username': 'jlOlarteQ'}]",
1197288095877480449,1197288095877480449,1574290701000,2019-11-20,17:58:21,EST,301593228,andrewrenninger,Andrew Renninger,,"#30DayMapChallenge 20 |  Rural

Croplands across the globe, measured by intensity within square kilometer grid cells—37% of total land (made in #QGIS with data from @Geo_Wiki's application  https://www.geo-wiki.org/ ) pic.twitter.com/xzg61JUfGK",['geo_wiki'],['https://www.geo-wiki.org/'],['https://pbs.twimg.com/media/EJ2fK58VUAIJYtT.jpg'],0,0,1,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/AndrewRenninger/status/1197288095877480449,False,,0,,,,,,,"[{'user_id': '301593228', 'username': 'AndrewRenninger'}, {'user_id': '2969646652', 'username': 'Geo_Wiki'}]",
1197281624657977344,1197281624657977344,1574289158000,2019-11-20,17:32:38,EST,3092381638,cedscherer,Cédric Scherer,,"#30DayMapChallenge Day 20: Rural

Even though #Berlin is a metropole, it has many rural areas with regard to land use types. This map shows all non-build areas such as forest, grass- and scrubland, meadows and nature reserves in the middle of the city.
#ggplot #rstats #dataviz pic.twitter.com/1MfK0oWFmM",[],[],['https://pbs.twimg.com/media/EJ2ZRZ1XUAER9wD.jpg'],1,4,32,"['#30daymapchallenge', '#berlin', '#ggplot', '#rstats', '#dataviz']",[],https://twitter.com/CedScherer/status/1197281624657977344,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}]",
1197278484340584451,1190289408022454272,1574288409000,2019-11-20,17:20:09,EST,69918773,gerardathletics,Gerard M. Porras,,"Day 20: #Rural.

Zonas agrícolas. CORINE Land Cover 2018 (2.1 & 2.2).

#30DayMapChallenge
#QGIS #agriculture #spain pic.twitter.com/pBA0e3JLpi","['openstreetmap', 'osmcatala']",[],['https://pbs.twimg.com/media/EJ2WbFyWkAAZEPF.jpg'],1,0,4,"['#rural', '#30daymapchallenge', '#qgis', '#agriculture', '#spain']",[],https://twitter.com/Gerardathletics/status/1197278484340584451,False,,0,,,,,,,"[{'user_id': '69918773', 'username': 'Gerardathletics'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '2436978392', 'username': 'OSMcatala'}]",
1197276190224113665,1195414877562646528,1574287862000,2019-11-20,17:11:02,EST,895591511768813569,statnmap,Sébastien Rochette,,"#30DayMapChallenge with #rspatial
20/30. Rural. Where are AOP cheese cities in France? 🇫🇷🧀
Cows🐄, goats🐐 and sheeps🐏 require rural areas to be bred. 🌐Globe animation with {tmap} and {magick}, a little better than the one above 🔝(15/30)...  #rstatsFR pic.twitter.com/SiGjGswJzm","['jdatap', 'jmcastagnetto']",[],[],1,1,2,"['#30daymapchallenge', '#rspatial', '#rstatsfr']",[],https://twitter.com/StatnMap/status/1197276190224113665,False,,1,,,,,,,"[{'user_id': '895591511768813569', 'username': 'StatnMap'}, {'user_id': '1571967648', 'username': 'jdatap'}, {'user_id': '118526360', 'username': 'jmcastagnetto'}]",
1197272517163048960,1197272517163048960,1574286986000,2019-11-20,16:56:26,EST,257218656,descifra,DESCIFRA,,"Más de 180 mil localidades rurales con menos de 2,500 habitantes en México.
 Day 20:Rural #30DayMapChallenge
#lovepredictinglocations #BigData pic.twitter.com/vgPitglV3n",[],[],['https://pbs.twimg.com/media/EJ2RAlbXYAEPPgr.png'],0,5,12,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1197272517163048960,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1197271080160751616,1197271080160751616,1574286644000,2019-11-20,16:50:44,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 18. Globe
Global theme requires #dataviz of global problems. right? Digital financial (in/ex)clusion is quite remarkable when you look at how poor and rich people use digital financial tools.
data: @worldbankdata
#maps #rstats #sdg10 #inequality #fintech pic.twitter.com/5ejRZNU7jx",['worldbankdata'],[],"['https://pbs.twimg.com/media/EJ2PsbkWoAA_TH3.jpg', 'https://pbs.twimg.com/media/EJ2PsbtWoAU-mvh.jpg']",1,2,7,"['#30daymapchallenge', '#dataviz', '#maps', '#rstats', '#sdg10', '#inequality', '#fintech']",[],https://twitter.com/bettermeasured/status/1197271080160751616,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}, {'user_id': '203332110', 'username': 'worldbankdata'}]",
1197270915391926273,1197270915391926273,1574286605000,2019-11-20,16:50:05,EST,47876970,famalgui,Fabiola MG,,#30DayMapChallenge: Los mapas sobre México en un reto global https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …,[],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/famalgui/status/1197270915391926273,False,,0,,,,,,,"[{'user_id': '47876970', 'username': 'famalgui'}]",
1197269047995289600,1197269047995289600,1574286159000,2019-11-20,16:42:39,EST,14806596,aschiff,Aaron Schiff,,"Day 21 of #30DayMapChallenge - environment: New Zealand's four largest river networks (largest in the sense of having the most branches), including associated lakes. Code:  https://github.com/aaronschiff/30-day-map-challenge/blob/master/21-environment.R … pic.twitter.com/EmYo4lDAJQ",[],['https://github.com/aaronschiff/30-day-map-challenge/blob/master/21-environment.R'],"['https://pbs.twimg.com/media/EJ2N1_MUwAAcf4f.jpg', 'https://pbs.twimg.com/media/EJ2N1_MU8AAf09U.jpg', 'https://pbs.twimg.com/media/EJ2N1_MUwAEIZlN.jpg', 'https://pbs.twimg.com/media/EJ2N1_PVAAA3NTX.png']",2,1,19,['#30daymapchallenge'],[],https://twitter.com/aschiff/status/1197269047995289600,False,,0,,,,,,,"[{'user_id': '14806596', 'username': 'aschiff'}]",
1197266205654028293,1197243216254439424,1574285482000,2019-11-20,16:31:22,EST,38010177,citizenfishy,Sweary Dave,,Exhausted by #30daymapchallenge #gischat,['micheletobias'],[],[],1,0,4,"['#30daymapchallenge', '#gischat']",[],https://twitter.com/citizenfishy/status/1197266205654028293,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}, {'user_id': '1523747005', 'username': 'MicheleTobias'}]",
1197265699124793344,1193141333722054657,1574285361000,2019-11-20,16:29:21,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 20 : Rural - Boulangeries dans le Nord #TeamPetitPain #Nord #RStats #OpenData  https://github.com/Grisoudre/30DayMapChallenge/tree/master/day20_rural … pic.twitter.com/V1mh97oPpK,[],['https://github.com/Grisoudre/30DayMapChallenge/tree/master/day20_rural'],['https://pbs.twimg.com/media/EJ2KyUrWwAE6XhU.jpg'],1,2,4,"['#30daymapchallenge', '#teampetitpain', '#nord', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1197265699124793344,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1197263451535659011,1197263451535659011,1574284825000,2019-11-20,16:20:25,EST,309734801,samwise_v,Sam J,,"#30DayMapChallenge and today is Rural. Not sure this attempt fully worked, but my first go at 'hand-drawn' style and using geometry generator in #qgis to try proportional bucket fills on a hexagon-cartogram.... pic.twitter.com/7r5N3hggBR",[],[],['https://pbs.twimg.com/media/EJ2IvMoWkAIavmz.jpg'],2,0,10,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/samwise_v/status/1197263451535659011,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1197262633042362368,1197262633042362368,1574284630000,2019-11-20,16:17:10,EST,193017765,catastrobogota,Catastro Bogotá,,Day 20 #30DayMapChallenge #Rural  I Conoce nuestro nivel de información de desarrollo económico rural de la ciudad y ubica las zonas de productividad. #LaIDEddeBogotá  https://bit.ly/2Ot4qi8  pic.twitter.com/hrSRL6xNdz,[],['https://bit.ly/2Ot4qi8'],['https://pbs.twimg.com/media/EJ2IA27XYAAyP2y.jpg'],0,2,3,"['#30daymapchallenge', '#rural', '#laideddebogotá']",[],https://twitter.com/CatastroBogota/status/1197262633042362368,False,,0,,,,,,,"[{'user_id': '193017765', 'username': 'CatastroBogota'}, {'user_id': '1693884901', 'username': 'sgeneralbogota'}, {'user_id': '57664761', 'username': 'Bogota'}, {'user_id': '996840260683423744', 'username': 'col_en_datos'}, {'user_id': '198540232', 'username': 'urnadecristal'}]",
1197259293977919489,1197259293977919489,1574283834000,2019-11-20,16:03:54,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 1⃣7⃣ Zones:
Seismic risk zones of Italian municipalities: a map that is unfortunately well-known in Italy 😔

Data from the Italian National Geoportal:  http://www.pcn.minambiente.it/mattm/en
Map design: @qgis pic.twitter.com/xYfQhrpbjs",['qgis'],['http://www.pcn.minambiente.it/mattm/en'],['https://pbs.twimg.com/media/EJ2E-YxXsAA9VP2.jpg'],0,0,11,['#30daymapchallenge'],[],https://twitter.com/MarcoMinghini/status/1197259293977919489,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '271327412', 'username': 'qgis'}]",
1197256750719782912,1197256750719782912,1574283227000,2019-11-20,15:53:47,EST,137107982,atdodkonfektes,Zane,,"#30DayMapChallenge 20: lauki. Ja katrs novads pārvērstos par lauku, ko tur visbiežāk audzē, tik lielu, cik vidēji piesaka, mums būtu 432 ha zāles un 58 ha kviešu. pic.twitter.com/xZG1r1cC0m",[],[],['https://pbs.twimg.com/media/EJ2Cp2_XYAc3H-P.jpg'],0,4,12,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1197256750719782912,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1197253233527394304,1197253233527394304,1574282389000,2019-11-20,15:39:49,EST,34737662,positium,Positium,,"Would like to bring attention to this amazing highlight (in the spirit of the #30DayMapChallenge) - 500 amazing maps about Estonia have been published!
#maps #estonia https://twitter.com/janika_raun/status/1197160064710262785 …",[],['https://twitter.com/janika_raun/status/1197160064710262785'],[],0,0,3,"['#30daymapchallenge', '#maps', '#estonia']",[],https://twitter.com/positium/status/1197253233527394304,False,https://twitter.com/janika_raun/status/1197160064710262785,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1197249685347454977,1197249685347454977,1574281543000,2019-11-20,15:25:43,EST,13215962,jerry_shannon,Jerry Shannon,,"For the rural theme for today's #30DayMapChallenge, I developed a #shiny application for #rstats using dollar store data. Pretty much every small town in Iowa has had a Dollar General for over a decade, but Family Dollar is a new addition. Try the app at:  https://comapuga.shinyapps.io/dollarexplorer/  pic.twitter.com/Ux4SHFIy5u",[],['https://comapuga.shinyapps.io/dollarexplorer/'],[],0,2,6,"['#30daymapchallenge', '#shiny', '#rstats']",[],https://twitter.com/jerry_shannon/status/1197249685347454977,False,,1,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}]",
1197240184229646336,1197240184229646336,1574279278000,2019-11-20,14:47:58,EST,800447204020219904,kim_fitter,Kim Fitter,,"I am still watching the #30DayMapChallenge every day in awe, just making occasional submissions. So I am sure there others hovering....
In case you don't have time for a daily map how about some early funny maps?🗺",[],[],[],3,0,6,['#30daymapchallenge'],[],https://twitter.com/Kim_Fitter/status/1197240184229646336,False,,0,,,,,,,"[{'user_id': '800447204020219904', 'username': 'Kim_Fitter'}]",
1197234093508792320,1197234093508792320,1574277826000,2019-11-20,14:23:46,EST,3195595218,datacivica,Data Cívica,,"Para nuestro #30DayMapChallenge de hoy, georreferenciamos las carpetas de investigación por delitos sexuales dentro de Ciudad Universitaria. pic.twitter.com/OMwlsZhpxj",[],[],['https://pbs.twimg.com/media/EJ1uDqHXsAAEe7Z.jpg'],0,57,76,['#30daymapchallenge'],[],https://twitter.com/datacivica/status/1197234093508792320,False,,0,,,,,,,"[{'user_id': '3195595218', 'username': 'datacivica'}]",
1197232322925383681,1197232322925383681,1574277403000,2019-11-20,14:16:43,EST,14992557,gontsa,gontsa,,"River Zbruch millennial natural border. I tried to show the typical structure Podolia (Podilia) countryside. Left side Ternopil region, right Khmelnytsky region of Ukraine.
#30DayMapChallenge Day 20: Rural
Data: #OpenStreetMap contributors, #QGIS pic.twitter.com/Uu3i6KMEsr",[],[],['https://pbs.twimg.com/media/EJ1sbvAWwAAZPii.jpg'],1,3,28,"['#30daymapchallenge', '#openstreetmap', '#qgis']",[],https://twitter.com/gontsa/status/1197232322925383681,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1197226747768561664,1197226747768561664,1574276074000,2019-11-20,13:54:34,EST,2749312112,garciaart3,DoctorJ,,Mi mapa de hoy para el #30DayMapChallenge: Bogotá dividida de acuerdo al punto de salida de marchas más cercano. #21N #21NSomosTodos pic.twitter.com/LjfGH1u9Xn,[],[],['https://pbs.twimg.com/media/EJ1nMXsWwAA5Hz_.jpg'],1,3,10,"['#30daymapchallenge', '#21n', '#21nsomostodos']",[],https://twitter.com/garciaart3/status/1197226747768561664,False,,0,,,,,,,"[{'user_id': '2749312112', 'username': 'garciaart3'}]",
1197226652130062337,1197226652130062337,1574276051000,2019-11-20,13:54:11,EST,147125258,ojespejo,Oscar Javier Espejo,,"A new day another #30DayMapChallenge late post.

Day 14. #Boundaries An isolated patch of grass in a sea of tropical forest. The natural boundarie forest/soil it's so clear!

A false color comparison with @USGSLandsat ➡️ #Sentinel2 ➡️ @planetlabs ➡️ #Worldview3 pic.twitter.com/5rDDTNUI7h","['usgslandsat', 'planetlabs']",[],['https://pbs.twimg.com/media/EJ1nSodXYAce_xv.jpg'],1,3,16,"['#30daymapchallenge', '#boundaries', '#sentinel2', '#worldview3']",[],https://twitter.com/ojespejo/status/1197226652130062337,False,,0,,,,,,,"[{'user_id': '147125258', 'username': 'ojespejo'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '17663776', 'username': 'planetlabs'}, {'user_id': '978604706', 'username': 'CopernicusEU'}]",
1197225600030846976,1190339839729848320,1574275801000,2019-11-20,13:50:01,EST,2749312112,garciaart3,DoctorJ,,"#Day17 #30DayMapChallenge: Zones. A special one today, voronoi partition of Bogotá by the nearest staring point of tomorrow's protest marches. #21N #LaDignidadSeMueve pic.twitter.com/bjzj1rLHB1","['col_en_datos', 'qgis', 'citibikenyc', 'votobici', 'policiacolombia', 'dadepbogota', 'blancaduranh', 'u2', 'wmvallejo', 'uncolombia', 'simun_unal', 'foursquare']",[],['https://pbs.twimg.com/media/EJ1mKhgWwAAJkq5.jpg'],1,0,1,"['#day17', '#30daymapchallenge', '#21n', '#ladignidadsemueve']",[],https://twitter.com/garciaart3/status/1197225600030846976,False,,0,,,,,,,"[{'user_id': '2749312112', 'username': 'garciaart3'}, {'user_id': '996840260683423744', 'username': 'col_en_datos'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '366631688', 'username': 'CitiBikeNYC'}, {'user_id': '722439507845509120', 'username': 'VotoBici'}, {'user_id': '69432342', 'username': 'PoliciaColombia'}, {'user_id': '1197754334', 'username': 'DadepBogota'}, {'user_id': '61916854', 'username': 'blancaduranh'}, {'user_id': '18847632', 'username': 'U2'}, {'user_id': '231899420', 'username': 'WMVallejo'}, {'user_id': '2731985244', 'username': 'UNColombia'}, {'user_id': '722204623709302784', 'username': 'simun_unal'}, {'user_id': '804341497441255424', 'username': 'Foursquare'}]",
1197225019744624641,1197225019744624641,1574275662000,2019-11-20,13:47:42,EST,1105836507380805632,eo_services,eoservices,,"Retweet @ CopernicusLand: RT lacxrx: #30DayMapChallenge 11. Elevation

For #winelovers and my playing field, elevation of the Northern Rhône wine region

Made with #QGIS
Data CopernicusLand pic.twitter.com/WwdcNICVcx",[],[],['https://pbs.twimg.com/media/EJE86wlXsAEX-DL.jpg'],0,0,2,"['#30daymapchallenge', '#winelovers', '#qgis']",[],https://twitter.com/eo_services/status/1197225019744624641,False,,0,,,,,,,"[{'user_id': '1105836507380805632', 'username': 'eo_services'}]",
1197224758275956737,1197224758275956737,1574275600000,2019-11-20,13:46:40,EST,3552542476,sannajokela1,Sanna Jokela,,"#30DayMapChallenge Day 18.-20. in one go, since we had a huge GIS party for the past two days in Finland. And @tjukanov taught me how to do a Turku centered globe with QGIS 🙏So, globe, urban and rural at the same time. It is a mess, I know, but had to jump back in the game. pic.twitter.com/qvmozWghus",['tjukanov'],[],['https://pbs.twimg.com/media/EJ1lfSYXkAAY1cu.jpg'],1,0,10,['#30daymapchallenge'],[],https://twitter.com/SannaJokela1/status/1197224758275956737,False,,0,,,,,,,"[{'user_id': '3552542476', 'username': 'SannaJokela1'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1197217865528725513,1197217865528725513,1574273957000,2019-11-20,13:19:17,EST,437801734,blanky343,Antonia Blankenberg,"Dublin City, Ireland","#30DayMapChallenge Day 20: Rural

Highlighting lack of #broadband access outside Ireland’s cities pic.twitter.com/Qr51qOcHS9",[],[],['https://pbs.twimg.com/media/EJ1fS_CXsAMhGKV.jpg'],0,5,22,"['#30daymapchallenge', '#broadband']",[],https://twitter.com/blanky343/status/1197217865528725513,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1197216386193473536,1192855827272675329,1574273604000,2019-11-20,13:13:24,EST,1192848641771393027,colmixe,Colmix,,"En #Oaxaca, la mayor parte del territorio es propiedad #comunal, y a su vez, es el estado con la mayor cantidad de núcleos agrarios y tierras comunales del país.
#PujxKäjp #30daymapchallenge",[],[],[],1,6,7,"['#oaxaca', '#comunal', '#pujxkäjp', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1197216386193473536,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197216384989708289,1192855827272675329,1574273604000,2019-11-20,13:13:24,EST,1192848641771393027,colmixe,Colmix,,"La excepción es el municipio de #Guichicovi donde la organización es de tipo ejidal, aunque también hay ejidos no #mixes en los municipios de #Mazatlán y #Cotzocón.
#PujxKäjp #30daymapchallenge",[],[],[],1,1,5,"['#guichicovi', '#mixes', '#mazatlán', '#cotzocón', '#pujxkäjp', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1197216384989708289,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}]",
1197216381990789122,1192855827272675329,1574273603000,2019-11-20,13:13:23,EST,1192848641771393027,colmixe,Colmix,,"Día 20: Rural / #Nääjxkäm

En la mayoría de las comunidades mixes la tenencia de la tierra es de tipo comunal, en varios casos con posesión de Títulos primordiales de la época colonial.
#30daymapchallenge pic.twitter.com/8Gq3DlSsCN",['iyil2019'],[],['https://pbs.twimg.com/media/EJ1d8v6W4AA7msz.jpg'],1,3,5,"['#nääjxkäm', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1197216381990789122,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}, {'user_id': '1052568338101141506', 'username': 'IYIL2019'}]",
1197215726467198988,1192855827272675329,1574273447000,2019-11-20,13:10:47,EST,1192848641771393027,colmixe,Colmix,,"Día 19: Urbano / #PujxKäjp
El aumento de población en las comunidades #mixes ha generado zonas proto-urbanas. La forma de los polígonos de estas zonas difieren según se ubiquen en la sierra o en la zona baja.
#30daymapchallenge pic.twitter.com/ZDtf1LWMzk",['iyil2019'],[],['https://pbs.twimg.com/media/EJ1dWlmXUAQuUM3.jpg'],1,2,5,"['#pujxkäjp', '#mixes', '#30daymapchallenge']",[],https://twitter.com/Colmixe/status/1197215726467198988,False,,0,,,,,,,"[{'user_id': '1192848641771393027', 'username': 'Colmixe'}, {'user_id': '1052568338101141506', 'username': 'IYIL2019'}]",
1197213478693593091,1197213478693593091,1574272911000,2019-11-20,13:01:51,EST,261631571,hendrikxleo,Leo,,"Day 20: Rural #30DayMapChallenge Nobody lives here The Netherlands edition. This map is filled with 4101 1 km2 tiles where nobody lives.
Data: Basisregistratie Adressen en Gebouwen (BAG), Provincie grenzen 2019 pic.twitter.com/Xvnwc3iHkh",[],[],"['https://pbs.twimg.com/media/EJ1bTrUXkAUGdQY.jpg', 'https://pbs.twimg.com/media/EJ1bTrcXsAA9Y4P.jpg']",0,0,2,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1197213478693593091,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1197212766639214597,1197212766639214597,1574272741000,2019-11-20,12:59:01,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 20: Rural
Another GIF #map of @USGSLandCover in #Delaware. Sussex County is mostly rural but has been growing steadily. I did some calcs of LC and got an ratio of rural cells in the raster for each year. Still quite rural but (literally) losing ground.. pic.twitter.com/8Xm9Qw22WX",['usgslandcover'],[],[],0,1,8,"['#30daymapchallenge', '#map', '#delaware']",[],https://twitter.com/PhilPierdo/status/1197212766639214597,False,,1,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '249829509', 'username': 'USGSLandCover'}]",
1197208959909859328,1197208959909859328,1574271833000,2019-11-20,12:43:53,EST,2811204742,swac_oecd,SWAC OECD,,"#30DayMapChallenge Day 20: From hyper-#rural to meta-urban: The blue points in the map show #urban areas in #Africa that emerged after 2000. Understanding Africa’s urban future, is also linked to rural areas today.

🌍  http://africapolis.org  pic.twitter.com/2cRGecFNTu",[],['http://africapolis.org'],['https://pbs.twimg.com/media/EJ1XMleWwAA6C-t.jpg'],1,5,21,"['#30daymapchallenge', '#rural', '#urban', '#africa']",[],https://twitter.com/SWAC_OECD/status/1197208959909859328,False,,0,,,,,,,"[{'user_id': '2811204742', 'username': 'SWAC_OECD'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '937633823835246592', 'username': 'inhoi_heo'}, {'user_id': '936335281011257345', 'username': 'PHeinrigs'}, {'user_id': '16132791', 'username': 'Esri'}, {'user_id': '418015548', 'username': 'rafaelprietoc'}, {'user_id': '738043999051714561', 'username': 'osmafrica'}, {'user_id': '3981933203', 'username': 'bettermeasured'}, {'user_id': '892006500', 'username': 'lacxrx'}, {'user_id': '16149429', 'username': 'becky_dale'}]",
1197199827072962563,1197199827072962563,1574269656000,2019-11-20,12:07:36,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 20. Rural

Just a map of agricultural France

Made with #QGIS pic.twitter.com/3vbJkJGVae",[],[],['https://pbs.twimg.com/media/EJ1OuvYXUAE_-Gy.jpg'],0,13,50,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1197199827072962563,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1197194832676052992,1197194832676052992,1574268465000,2019-11-20,11:47:45,EST,1066765896297979904,joseanrdelacruz,José Antonio Rodríguez de la Cruz,,"Días de hastags!! Tras #DíadelRetrete Me reta @iservia a usar #30DayMapChallenge y hablar de mapas. Y me pide @YWP_Spain que use este otro #YWPALaResistencia @davidbroncano @LaResistencia Esto es lo que me ha salido 🤭🙈
👉  https://www.iagua.es/blogs/jose-antonio-rodriguez-cruz/confederaciones-hidrograficas-salvaran-espana-vacia-0 … pic.twitter.com/JLeYceVQkM","['iservia', 'ywp_spain', 'davidbroncano', 'laresistencia']",['https://www.iagua.es/blogs/jose-antonio-rodriguez-cruz/confederaciones-hidrograficas-salvaran-espana-vacia-0'],['https://pbs.twimg.com/media/EJ1KWg_XkAEfLVO.jpg'],1,2,9,"['#díadelretrete', '#30daymapchallenge', '#ywpalaresistencia']",[],https://twitter.com/joseanRdelaCRUZ/status/1197194832676052992,False,,0,,,,,,,"[{'user_id': '1066765896297979904', 'username': 'joseanRdelaCRUZ'}, {'user_id': '393905106', 'username': 'iservia'}, {'user_id': '700646113410359296', 'username': 'YWP_Spain'}, {'user_id': '94926712', 'username': 'davidbroncano'}, {'user_id': '952129529782337536', 'username': 'LaResistencia'}, {'user_id': '783453408623812608', 'username': 'viranapla'}, {'user_id': '871773318', 'username': 'aguedaGdD'}, {'user_id': '1104127748975546368', 'username': 'SoniaGuerGuez'}, {'user_id': '1170161707', 'username': 'Alexgarciam91'}, {'user_id': '314131742', 'username': 'resergar'}, {'user_id': '1057445857', 'username': 'JavierArnCo'}, {'user_id': '851368092437536768', 'username': 'J_Palomero'}, {'user_id': '274473672', 'username': 'RodriguezChueca'}, {'user_id': '471581379', 'username': 'Ana_Aranda3'}, {'user_id': '267759746', 'username': 'Acuatic85'}]",
1197194194160410624,1197194194160410624,1574268313000,2019-11-20,11:45:13,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge
Day 19: Rural - Natural Vegetation (Nebraska)
Tools: @QGIS. My great grandfather bought the Pollard Farmstead outside Ashland,NE in 1925. A working farm until my grandfather retired in 1984 (it stayed w/ the family until 1994). My dad rode his horse to school. pic.twitter.com/uJZh6vToBf",['qgis'],[],['https://pbs.twimg.com/media/EJ1JxRhWsAAe06I.jpg'],1,1,15,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1197194194160410624,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '271327412', 'username': 'qgis'}]",
1197193967550509056,1197193967550509056,1574268259000,2019-11-20,11:44:19,EST,14130929,ttso,Tuija Sonkkila,,"#30DayMapChallenge Day 20: Rural. In 2016, there were seven farms inside the City of Helsinki that received subsidies from the EU. One of them is located on an island. Code:  https://github.com/tts/mapchallenge/blob/master/rural.R … Data by former MAVI via @CSCfi AVAA  #rstats #tmap #sf pic.twitter.com/8Fjd1hH37l",['cscfi'],['https://github.com/tts/mapchallenge/blob/master/rural.R'],['https://pbs.twimg.com/media/EJ1HYImXYAAKQEW.jpg'],0,1,2,"['#30daymapchallenge', '#rstats', '#tmap', '#sf']",[],https://twitter.com/ttso/status/1197193967550509056,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '2240385636', 'username': 'CSCfi'}]",
1197184086932111361,1197184086932111361,1574265903000,2019-11-20,11:05:03,EST,223959960,_penguin_runner,Kirsten Reilly,,#30DayMapChallenge Day 20: Rural - Edale Moor from Upper Derwent Valley #aeiralod #opensource #defra #lidar #peakdistrict #QGIS #gischat #geography #cartography pic.twitter.com/aYzYQA7oB7,[],[],['https://pbs.twimg.com/media/EJ1Ak7cWwAYwSWP.jpg'],1,1,15,"['#30daymapchallenge', '#aeiralod', '#opensource', '#defra', '#lidar', '#peakdistrict', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1197184086932111361,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1197183829041131520,1197183829041131520,1574265842000,2019-11-20,11:04:02,EST,27186708,jccpmx,Carlos Cortés,,"Algo de la conciencia política en el 2018, zonas en los extremos estadísticos del porcentaje de participación.
#30DayMapChallenge Zones
fuente: @INEMexico
#Analytics #Statistics pic.twitter.com/dBxZI3epsv",['inemexico'],[],['https://pbs.twimg.com/media/EJ1AWDtXsAEW3xP.jpg'],0,3,10,"['#30daymapchallenge', '#analytics', '#statistics']",[],https://twitter.com/jccpmx/status/1197183829041131520,False,,0,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}, {'user_id': '76178329', 'username': 'INEMexico'}]",
1197181708472397825,1197181708472397825,1574265336000,2019-11-20,10:55:36,EST,1189776035295961089,jlolarteq,jlOlarteQ,,#30DayMapChallenge Day 12 Movement. Trips inside the metropolitan zone of Mexico City during a laboral day. pic.twitter.com/qNMH6F1PJK,[],[],[],0,1,5,['#30daymapchallenge'],[],https://twitter.com/jlOlarteQ/status/1197181708472397825,False,,1,,,,,,,"[{'user_id': '1189776035295961089', 'username': 'jlOlarteQ'}]",
1197179537580277760,1197179537580277760,1574264818000,2019-11-20,10:46:58,EST,14344140,darenw,Daren Willman,,Day ten of the #30DayMapChallenge (black & gray)... Animating all 199 of Nolan Arenado's home runs since 2015 overlaid at Coors Field 😍😍😍  https://twitter.com/darenw/status/1196895758068396032 … pic.twitter.com/pq3vySMeBa,[],['https://twitter.com/darenw/status/1196895758068396032'],[],3,4,54,['#30daymapchallenge'],[],https://twitter.com/darenw/status/1197179537580277760,False,,1,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}]",
1197177945858678790,1197177945858678790,1574264439000,2019-11-20,10:40:39,EST,818083243018907648,regxaardeo,Reĝa Ardeo,,Jara meza ricetiva sunlumo de la konstruaĵoj en la centro de Parizo. #Esperanto #30DayMapChallenge Tago 19 : Urban pic.twitter.com/58KVFAVCEU,[],[],['https://pbs.twimg.com/media/EJ06_AhXsAAj-vU.jpg'],0,0,3,"['#esperanto', '#30daymapchallenge']",[],https://twitter.com/RegxaArdeo/status/1197177945858678790,False,,0,,,,,,,"[{'user_id': '818083243018907648', 'username': 'RegxaArdeo'}]",
1197176817762873349,1197176817762873349,1574264170000,2019-11-20,10:36:10,EST,919806358328958976,gis3700,Vicky Verscheijden,,"#30DayMapChallenge Rural, greenmap of @stadtongeren :
*trees >3m - 11,28%
*shrubs 0m <3m - 11,77%
*agriculture 60,90%
data agentschap natuur en bos, @info_vlaanderen
 http://geotic.maps.arcgis.com/apps/webappviewer/index.html?id=73633d13ddd144008ba93db4c60e82df … pic.twitter.com/xKcYgSzIf1","['stadtongeren', 'info_vlaanderen']",['http://geotic.maps.arcgis.com/apps/webappviewer/index.html?id=73633d13ddd144008ba93db4c60e82df'],['https://pbs.twimg.com/media/EJ059ndW4AA-7ug.jpg'],0,0,5,['#30daymapchallenge'],[],https://twitter.com/gis3700/status/1197176817762873349,False,,0,,,,,,,"[{'user_id': '919806358328958976', 'username': 'gis3700'}, {'user_id': '441650529', 'username': 'stadtongeren'}, {'user_id': '845226781', 'username': 'info_vlaanderen'}]",
1197173630054084611,1197173630054084611,1574263410000,2019-11-20,10:23:30,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 20: Rural
The Amazon Basin is a colossal example of ruralness, a ""civilized"" isolation. Where urban is people, rural is people in nature. Day 21 will continue on the Amazon
#gis #geography #geographyteacher #cartography #maps #map #amazon #landsat #landsat8 pic.twitter.com/IioCBbonux",[],[],['https://pbs.twimg.com/media/EJ03CI0XsAA1f54.jpg'],0,0,1,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#amazon', '#landsat', '#landsat8']",[],https://twitter.com/my_physical/status/1197173630054084611,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1197169017175314433,1197169017175314433,1574262310000,2019-11-20,10:05:10,EST,25662004,iamreddave,Still Dave,,"Density of zipcodes in the US
#30DayMapChallenge #rural using #gglot2 geom_hex()
Code + data at  https://gist.github.com/cavedave/f50a86e6bf4e7461245f879f36cb9ca0 … pic.twitter.com/neg6flFhu9",[],['https://gist.github.com/cavedave/f50a86e6bf4e7461245f879f36cb9ca0'],['https://pbs.twimg.com/media/EJ0y3qGXsAAXPsy.jpg'],1,0,1,"['#30daymapchallenge', '#rural', '#gglot2']",[],https://twitter.com/iamreddave/status/1197169017175314433,False,,0,,,,,,,"[{'user_id': '25662004', 'username': 'iamreddave'}]",
1197167373419188224,1197167373419188224,1574261918000,2019-11-20,09:58:38,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 20 #Rural
🌱🤠 La parte rural de la Ciudad de México

#QGIS pic.twitter.com/978vNUrgaH",[],[],['https://pbs.twimg.com/media/EJ0xXYTXkAA3jGl.jpg'],0,2,20,"['#30daymapchallenge', '#rural', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1197167373419188224,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1197166968819847170,1197166968819847170,1574261822000,2019-11-20,09:57:02,EST,17242884,maartenzam,Maarten Lambrechts,,This is not working well on Twitter at all... See the gif here:  http://www.maartenlambrechts.com/assets/images/mapchallenge/growing-cities-1600.gif … #30DayMapChallenge https://twitter.com/maartenzam/status/1196905337439375360 …,[],"['http://www.maartenlambrechts.com/assets/images/mapchallenge/growing-cities-1600.gif', 'https://twitter.com/maartenzam/status/1196905337439375360']",[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1197166968819847170,False,https://twitter.com/maartenzam/status/1196905337439375360,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}]",
1197166591437365253,1190253562267340800,1574261732000,2019-11-20,09:55:32,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 20 (rural): Agricultural crops in my municipality (Diest, Belgium) pic.twitter.com/tZmsCHDxUI","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper']",[],['https://pbs.twimg.com/media/EJ0wpk1XkAgSMH_.jpg'],1,1,9,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1197166591437365253,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}]",
1197166273597263872,1197166273597263872,1574261656000,2019-11-20,09:54:16,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 20. Rural: soil organic carbon as one of the very important ecosystem services in terms of agriculture. Modelled by our team @LGeoinformatics  in collaboration with @MacroecologyUT  and @IvikaOstonen 😊🤓 https://doi.org/10.5194/essd-2019-192 … pic.twitter.com/g3vFYO6inr,"['lgeoinformatics', 'macroecologyut', 'ivikaostonen']",['https://doi.org/10.5194/essd-2019-192'],['https://pbs.twimg.com/media/EJ0wVKmWoAAOGlp.jpg'],2,7,26,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1197166273597263872,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}, {'user_id': '1177683182461820929', 'username': 'LGeoinformatics'}, {'user_id': '2546360293', 'username': 'MacroecologyUT'}, {'user_id': '793425316358356992', 'username': 'IvikaOstonen'}, {'user_id': '409168655', 'username': 'allixender'}]",
1197165484736753665,1197165484736753665,1574261468000,2019-11-20,09:51:08,EST,2574612668,hireuter,hannes reuter,,"#30DayMapChallenge 20. Rural - Older farm managers - % share of managers aged gt 65 years, 2019, info: https://europa.eu/!yj74Vn , Statistical Atlas, vis: https://europa.eu/!Bv47NT  - joined contributions by @EU_Eurostat E4 #GISCO #REGIO Team - 10days2go pic.twitter.com/Y572RSfUnn",['eu_eurostat'],"['https://europa.eu/!yj74Vn', 'https://europa.eu/!Bv47NT']",['https://pbs.twimg.com/media/EJ0vqFyWwAAkHvx.jpg'],0,1,7,"['#30daymapchallenge', '#gisco', '#regio']",[],https://twitter.com/hireuter/status/1197165484736753665,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1197165473449816065,1197165473449816065,1574261465000,2019-11-20,09:51:05,EST,4241359336,philmassicotte,Philippe Massicotte,,For this #30DayMapChallenge #⃣2⃣0⃣ (Rural) I have decided to go with a simple white background map showing the rural US counties. Made with #rstats #dataviz pic.twitter.com/jDHR6w2FnQ,[],[],['https://pbs.twimg.com/media/EJ0vpP5WkAosm9x.jpg'],2,2,5,"['#30daymapchallenge', '#rstats', '#dataviz']",[],https://twitter.com/philmassicotte/status/1197165473449816065,False,,0,,,,,,,"[{'user_id': '4241359336', 'username': 'philmassicotte'}]",
1197160418688618496,1197160418688618496,1574260260000,2019-11-20,09:31:00,EST,1454843694,onestopmap,One Stop Map,,"The #30DayMapChallenge theme for today is “rural” and that hits home for me, being from a small village. Here’s the artificial archipelago formed by Dutch municipalities with a majority of their population classed as rural #cartography #lovemap pic.twitter.com/BR971VN0OG",[],[],['https://pbs.twimg.com/media/EJ0rDOKXYAINpxW.jpg'],2,1,12,"['#30daymapchallenge', '#cartography', '#lovemap']",[],https://twitter.com/onestopmap/status/1197160418688618496,False,,0,,,,,,,"[{'user_id': '1454843694', 'username': 'onestopmap'}]",
1197159049814564865,1197144953610215424,1574259934000,2019-11-20,09:25:34,EST,833978346,arash_hajikhani,Arash Hajikhani,,"@tjukanov I think this still qualifies the #30DayMapChallenge 🤓 Although no fancy colours and shapes!
#Datavisualization #helsinki #Finland #Suomi
#gischat #geography #cartography #dataviz","['vttfinland', 'businessfinland', 'tjukanov']",[],[],1,0,1,"['#30daymapchallenge', '#datavisualization', '#helsinki', '#finland', '#suomi', '#gischat', '#geography', '#cartography', '#dataviz']",[],https://twitter.com/Arash_Hajikhani/status/1197159049814564865,False,,0,,,,,,,"[{'user_id': '833978346', 'username': 'Arash_Hajikhani'}, {'user_id': '66325641', 'username': 'VTTFinland'}, {'user_id': '808495806', 'username': 'BusinessFinland'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1197154085906063360,1197154085906063360,1574258750000,2019-11-20,09:05:50,EST,982429849,pedro_com_es,Pedro Suárez,,"Explotaciones ganaderas en Gran Canaria y Tenerife.

Para el día rural del #30DayMapChallenge.

Fuentes: Datos de @AGRI_Gobcan y mapa del @IGNSpain . pic.twitter.com/CGIYF3WS3m","['agri_gobcan', 'ignspain']",[],"['https://pbs.twimg.com/media/EJ0lSbPWoAEKT2y.jpg', 'https://pbs.twimg.com/media/EJ0lSbXX0AEnMXJ.jpg']",0,0,3,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1197154085906063360,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '567202204', 'username': 'AGRI_Gobcan'}, {'user_id': '193908521', 'username': 'IGNSpain'}]",
1197151454449979394,1197151454449979394,1574258123000,2019-11-20,08:55:23,EST,1156558652016340992,numeraloka,Numera Loka,,"A qualitative observation of educational attainment in #Jakarta seems to suggest a slightly uneven distribution of relatively highly-educated population in the region.
#RStats #DataViz #DotDensity #30DayMapChallenge pic.twitter.com/5crCYtPVDa",[],[],"['https://pbs.twimg.com/media/EJ0i5QWUUAEsZVl.jpg', 'https://pbs.twimg.com/media/EJ0i5QXVAAAm2-Z.jpg', 'https://pbs.twimg.com/media/EJ0i5QbU4AAogL3.jpg']",0,2,3,"['#jakarta', '#rstats', '#dataviz', '#dotdensity', '#30daymapchallenge']",[],https://twitter.com/NumeraLoka/status/1197151454449979394,False,,0,,,,,,,"[{'user_id': '1156558652016340992', 'username': 'NumeraLoka'}]",
1197151429519003648,1197151429519003648,1574258117000,2019-11-20,08:55:17,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,"Rural theme for #30DayMapChallenge!
* first map shows the village count for states. Uttar Pradesh has the highest number (106704)  followed by Madhya Pradesh (MP)
* second map shows rural area coverage across states - Rajasthan tops the list with maximum coverage, followed by MP pic.twitter.com/y0c6yF3wbG",[],[],"['https://pbs.twimg.com/media/EJ0i4CwUYAAALE7.png', 'https://pbs.twimg.com/media/EJ0i4CwU8AMyAYS.png']",1,1,18,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1197151429519003648,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}, {'user_id': '1170885648', 'username': 'DataPortalIndia'}, {'user_id': '1107660326303133698', 'username': 'CensusIndia2021'}]",
1197146821669347328,1197146821669347328,1574257018000,2019-11-20,08:36:58,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge 20. Rural

The Netherlands counts almost 126 million farm animals - that's 73 animals per capita! Which municipalities have the highest human-to-animal-ratio? We did the math and made this emoji-filled-map 👨🏻‍🌾🚜

Interactive version 👉🏻 https://localfocus2.appspot.com/5dd53d4beb945  pic.twitter.com/4WyFcv5A2b",[],['https://localfocus2.appspot.com/5dd53d4beb945'],['https://pbs.twimg.com/media/EJ0er5HW4AAO5V3.jpg'],1,3,5,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1197146821669347328,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1197144747510398978,1197144747510398978,1574256524000,2019-11-20,08:28:44,EST,414943174,benfriin,Ben,,"Day 20 of #30DayMapChallenge - Rural - Pays Ploërmel

Mode d'occupation du Sol (MOS) entre 2004 -2013

Evolution de l’artificialisation des sols : + 918 hectares sur 9 ans.

#scot #urbanisation #agriculture
@SIRSfr @regionbretagne pic.twitter.com/ltK4vOY3IF","['sirsfr', 'regionbretagne']",[],"['https://pbs.twimg.com/media/EJ0cyM-XUAQ8Of_.jpg', 'https://pbs.twimg.com/media/EJ0cyNAXUAcoxke.jpg']",0,0,5,"['#30daymapchallenge', '#scot', '#urbanisation', '#agriculture']",[],https://twitter.com/benfriin/status/1197144747510398978,False,,0,,,,,,,"[{'user_id': '414943174', 'username': 'benfriin'}, {'user_id': '902104101584035840', 'username': 'SIRSfr'}, {'user_id': '42400789', 'username': 'regionbretagne'}]",
1197140535951032322,1197140535951032322,1574255520000,2019-11-20,08:12:00,EST,276280627,pnelson917,Patrick Nelson,,Day 20 of the #30DayMapChallenge :  Rural…Population density areas from #NASAsedac with urban extents overlaid.  All the areas we need initiatives like @TelecomInfraP to drive connectivity outside of urban.  #IMNOS pic.twitter.com/eZqx3AgsQO,['telecominfrap'],[],['https://pbs.twimg.com/media/EJX_zyqU4AASzWp.jpg'],0,0,4,"['#30daymapchallenge', '#nasasedac', '#imnos']",[],https://twitter.com/pnelson917/status/1197140535951032322,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}, {'user_id': '910169451424710656', 'username': 'TelecomInfraP'}]",
1197137837713317889,1197129855449673730,1574254876000,2019-11-20,08:01:16,EST,83974993,raimun2,raimun,,"genio, te felicito por la consistencia, he seguido de cerca tu #30DayMapChallenge","['juanizio_c', 'conaf_minagri']",[],[],1,0,2,['#30daymapchallenge'],[],https://twitter.com/raimun2/status/1197137837713317889,False,,0,,,,,,,"[{'user_id': '83974993', 'username': 'raimun2'}, {'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '172768234', 'username': 'conaf_minagri'}]",
1197129855449673730,1197129855449673730,1574252973000,2019-11-20,07:29:33,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge (I have not given up!!)
Day 20: Rural

Out of the city there are other forms of land use / Fuera de la ciudad hay otras formas de usar el suelo

Data from @conaf_minagri pic.twitter.com/eQ498gargx",['conaf_minagri'],[],['https://pbs.twimg.com/media/EJ0PQHqWsAE3c-B.png'],6,13,56,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1197129855449673730,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '172768234', 'username': 'conaf_minagri'}]",
1197127651925860352,1197127651925860352,1574252448000,2019-11-20,07:20:48,EST,3194863402,digimaps,Cartografía Digital,,"Topo Sierra Nevada para Garmin. Topográfico detallado y ruteable. 🔝
#30DayMapChallenge
 https://digimapas.blogspot.com/2019/04/topo-sierra-nevada-para-garmin.html … pic.twitter.com/qFCDnhJlU7",[],['https://digimapas.blogspot.com/2019/04/topo-sierra-nevada-para-garmin.html'],['https://pbs.twimg.com/media/EJ0NPyJXsAAhNg3.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/digimaps/status/1197127651925860352,False,,0,,,,,,,"[{'user_id': '3194863402', 'username': 'digimaps'}]",
1197127165789327360,1197127165789327360,1574252332000,2019-11-20,07:18:52,EST,393905106,iservia,Ignasi Servià,,"Hoy es el día Rural del #30DayMapChallenge
Map_20 Rural

Comparto mi entrada  @iagua 173.
La Catalunya rural y el agua.

En otros territorios ....

@joseanRdelaCRUZ seguramente te gustará.

@YerseyOwen, hay semanas que salen hasta 2 posts @AgroiAgua
 https://www.iagua.es/blogs/ignasi-servia-goixart/my-water-30daymapchallenge … pic.twitter.com/xnXJgvy9lK","['iagua', 'joseanrdelacruz', 'yerseyowen', 'agroiagua']",['https://www.iagua.es/blogs/ignasi-servia-goixart/my-water-30daymapchallenge'],"['https://pbs.twimg.com/media/EJ0MztoW4AIEtKV.jpg', 'https://pbs.twimg.com/media/EJ0MztsW4AIpjos.jpg', 'https://pbs.twimg.com/media/EJ0MztrXkAEUA5F.jpg', 'https://pbs.twimg.com/media/EJ0MztsWkAI53kL.jpg']",1,2,8,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1197127165789327360,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '14786159', 'username': 'iAgua'}, {'user_id': '1066765896297979904', 'username': 'joseanRdelaCRUZ'}, {'user_id': '155971716', 'username': 'YerseyOwen'}, {'user_id': '3214044575', 'username': 'AgroiAgua'}, {'user_id': '85864069', 'username': 'amaceira'}, {'user_id': '164356072', 'username': 'xadur'}, {'user_id': '16402948', 'username': 'ruralcat'}, {'user_id': '886912789', 'username': 'MarianoSoto1972'}, {'user_id': '3288611703', 'username': 'agrobialar'}, {'user_id': '317752057', 'username': 'CsarMarcos'}, {'user_id': '304030880', 'username': 'jlopezcol'}, {'user_id': '490538561', 'username': 'Isabelbombal1'}, {'user_id': '4849581928', 'username': 'mfernandezsanz'}, {'user_id': '18616735', 'username': 'agro20'}]",
1197126043280297985,1197126043280297985,1574252064000,2019-11-20,07:14:24,EST,138083232,swiss_geoportal,geo.admin.ch,,"[EN] Erosion risk map for arable land in #Switzerland, with average soil erosion in tonnes /(ha*year)   https://s.geo.admin.ch/85aef356b6  #30DayMapChallenge #rural
@Agroscope pic.twitter.com/okzJpwe2ht",['agroscope'],['https://s.geo.admin.ch/85aef356b6'],['https://pbs.twimg.com/media/EJ0Lyd-WoAIbHAF.jpg'],0,0,9,"['#switzerland', '#30daymapchallenge', '#rural']",[],https://twitter.com/swiss_geoportal/status/1197126043280297985,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '364237669', 'username': 'Agroscope'}]",
1197125523249549314,1196749767482728449,1574251940000,2019-11-20,07:12:20,EST,393905106,iservia,Ignasi Servià,,"Avui es el dia Rural del #30DayMapChallenge
Map_20 Rural

Comparteixo la meva entrada @iagua 173.

La Catalunya rural i l'aigua.

Es possible que aquest post aporti informació a alguns del ponents del 2n  Forum Agroalimentari.

 https://www.iagua.es/blogs/ignasi-servia-goixart/my-water-30daymapchallenge … pic.twitter.com/Edfx3O5w8y","['etsea_udl', 'serlleida', 'miquelpueyo', 'paerialleida', 'lojoan', 'diputaciolleida', 'teresajorda', 'agriculturacat', 'pintegrada', 'presseguer', 'fruitsdeponent', 'casasnovas115', 'dmacs_udl', 'europarl_cat', 'dolorsmm', 'sorayarr_', 'fjavilopez', 'narcisopastor', 'eng_agronoms', 'euagri', 'ramonsumoy', 'victorfalguera', 'iagua']",['https://www.iagua.es/blogs/ignasi-servia-goixart/my-water-30daymapchallenge'],"['https://pbs.twimg.com/media/EJ0LT69XkAAoiXU.jpg', 'https://pbs.twimg.com/media/EJ0LT62WkAIuGNl.jpg', 'https://pbs.twimg.com/media/EJ0LT6-XUAI3yUX.jpg', 'https://pbs.twimg.com/media/EJ0LT6_WkAApr2J.jpg']",0,0,3,['#30daymapchallenge'],[],https://twitter.com/iservia/status/1197125523249549314,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '436597311', 'username': 'ETSEA_UdL'}, {'user_id': '270440229', 'username': 'SERLleida'}, {'user_id': '404450891', 'username': 'MiquelPueyo'}, {'user_id': '132164404', 'username': 'paerialleida'}, {'user_id': '14745858', 'username': 'LoJoan'}, {'user_id': '481330588', 'username': 'DiputacioLleida'}, {'user_id': '395485571', 'username': 'TeresaJorda'}, {'user_id': '110416536', 'username': 'agriculturacat'}, {'user_id': '627176228', 'username': 'pintegrada'}, {'user_id': '222910632', 'username': 'presseguer'}, {'user_id': '2885528260', 'username': 'FruitsdePonent'}, {'user_id': '989527159562801152', 'username': 'casasnovas115'}, {'user_id': '1004372396013506561', 'username': 'dmacs_udl'}, {'user_id': '154150525', 'username': 'Europarl_CAT'}, {'user_id': '283559538', 'username': 'DolorsMM'}, {'user_id': '380200858', 'username': 'sorayarr_'}, {'user_id': '153388751', 'username': 'fjavilopez'}, {'user_id': '3147538460', 'username': 'NarcisoPastor'}, {'user_id': '14462512', 'username': 'Eng_Agronoms'}, {'user_id': '2885085044', 'username': 'EUAgri'}, {'user_id': '914634633190498304', 'username': 'RamonSumoy'}, {'user_id': '386446946', 'username': 'victorfalguera'}, {'user_id': '14786159', 'username': 'iAgua'}]",
1197124232980783105,1197124232980783105,1574251633000,2019-11-20,07:07:13,EST,768386760216805376,adamdsteer,"Adam Steer, doctor of all the things!",,I’m way off of #30DayMapChallenge and don’t even know where to begin mapping paths and motion and things. So here is a map of two flight seasons and thousands of nautical miles of helicopter time. pic.twitter.com/nW8q2U73Xs,[],[],['https://pbs.twimg.com/media/EJ0KIRFVUAIvjXq.png'],2,0,3,['#30daymapchallenge'],[],https://twitter.com/adamdsteer/status/1197124232980783105,False,,0,,,,,,,"[{'user_id': '768386760216805376', 'username': 'adamdsteer'}]",
1197112094019051522,1197112094019051522,1574248739000,2019-11-20,06:18:59,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 14: Boundaries
There are no boundaries on this map as it is my subtle reminder of how great it would be if there was an actual official NZ localities dataset. Maybe one day... Mostly blender GDAL and GIMP pic.twitter.com/rJqBaDMEUG",[],[],['https://pbs.twimg.com/media/EJz-5qtU0AA0F37.jpg'],4,6,65,['#30daymapchallenge'],[],https://twitter.com/Generally_Geo/status/1197112094019051522,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}]",
1197109809956507648,1193141333722054657,1574248194000,2019-11-20,06:09:54,EST,474145944,grisoudre,Cécile Rodrigues,,#30DayMapChallenge Day 19 : Urban - Lignes et arrêts de bus dans la MEL #MEL #RStats #OpenData  https://github.com/Grisoudre/30DayMapChallenge/tree/master/day19_urban … pic.twitter.com/9ffUccX8hJ,[],['https://github.com/Grisoudre/30DayMapChallenge/tree/master/day19_urban'],['https://pbs.twimg.com/media/EJz9BIqX0AAzbgd.jpg'],1,1,5,"['#30daymapchallenge', '#mel', '#rstats', '#opendata']",[],https://twitter.com/Grisoudre/status/1197109809956507648,False,,0,,,,,,,"[{'user_id': '474145944', 'username': 'Grisoudre'}]",
1197109233227124736,1196841572161277953,1574248057000,2019-11-20,06:07:37,EST,797871767809380352,adibop_,A. D. Mac,,"+1 on @ninatsuts work!
And thanks for putting this out, Josh.
Great to see so many goodies from #30daymapchallenge making an appearance","['alexandervar7', 'josh_tapley', 'tableau', 'tableaupublic', 'alinaandreeac', 'law3r', 'datavizlinds', 'ninatsuts', 'data_jackalope', 'bg_hyperx', 'uscensusbureau', 'staticum', 'boknowsdata', 'simonbeaumont04', 'readysetdata', 'lucaurzi', 'sue_grist', 'ivettalexa', 'zendolldata', 'losanimeera', 'adamemccann', 'hanykowska']",[],[],1,0,5,['#30daymapchallenge'],[],https://twitter.com/AdiBop_/status/1197109233227124736,False,,0,,,,,,,"[{'user_id': '797871767809380352', 'username': 'AdiBop_'}, {'user_id': '1067491504531431424', 'username': 'AlexanderVar7'}, {'user_id': '114605571', 'username': 'josh_tapley'}, {'user_id': '14792516', 'username': 'tableau'}, {'user_id': '519769200', 'username': 'tableaupublic'}, {'user_id': '2298775471', 'username': 'AlinaAndreeaC'}, {'user_id': '215414199', 'username': 'law3r'}, {'user_id': '733643261429092352', 'username': 'datavizlinds'}, {'user_id': '104537491', 'username': 'ninatsuts'}, {'user_id': '1002616170372108289', 'username': 'data_jackalope'}, {'user_id': '277470426', 'username': 'BG_Hyperx'}, {'user_id': '23092890', 'username': 'uscensusbureau'}, {'user_id': '3561415156', 'username': 'staticum'}, {'user_id': '1051986724623212544', 'username': 'boknowsdata'}, {'user_id': '722857290982952961', 'username': 'SimonBeaumont04'}, {'user_id': '1030439631769268225', 'username': 'ReadySetData'}, {'user_id': '1109838361278197760', 'username': 'LucaUrzi'}, {'user_id': '4846691223', 'username': 'sue_grist'}, {'user_id': '3288206489', 'username': 'IvettAlexa'}, {'user_id': '114211971', 'username': 'ZenDollData'}, {'user_id': '1024101983391690752', 'username': 'LosaniMeera'}, {'user_id': '1325597251', 'username': 'adamemccann'}, {'user_id': '1062425454735433730', 'username': 'hanykowska'}]",
1197108883182874627,1197108883182874627,1574247973000,2019-11-20,06:06:13,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 21 of #30DayMapChallenge: environment

Number of lightning strikes in New Zealand from 2001 to 2016.

Data from NZMFE + #Rstats

Code:  https://gist.github.com/zentree/3f6d860063de490a0c623fd972396352 … pic.twitter.com/YBPhR7k6T2",[],['https://gist.github.com/zentree/3f6d860063de490a0c623fd972396352'],['https://pbs.twimg.com/media/EJz8KqdUcAAoIk9.jpg'],1,1,9,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/zentree/status/1197108883182874627,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}]",
1197104953824821255,1197104953824821255,1574247036000,2019-11-20,05:50:36,EST,140068360,geomniuk,GeomniUK,,"Day 20 of the #30DayMapChallenge - #rural

The red pixels, extracted from our national clutter 20m raster dataset, represent Agricultural Buildings in the Belfast area.

The dataset was created to support the telecoms market to help with the distribution of 5G phone coverage pic.twitter.com/EwlTru2AYj",[],[],['https://pbs.twimg.com/media/EJz4mg3WoAA_cnX.jpg'],0,3,3,"['#30daymapchallenge', '#rural']",[],https://twitter.com/GeomniUK/status/1197104953824821255,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1197100025039470592,1197100025039470592,1574245861000,2019-11-20,05:31:01,EST,5685812,hrbrmstr,boB Rudis,,"Early entry into tdy's ""Rural"" #30DayMapChallenge using @USDA's 2017 Ag Census to look at Farms (most are, indeed 'rural') in 🇺🇸 + (keeping w/'cyber' theme) farm Internet access over-time. #rstats {readxl} {sf} {geofacet} {tigris} {albersusa}
Code:  https://git.rud.is/hrbrmstr/y2019-30daymapchallenge … pic.twitter.com/r8jF4M8Anc",['usda'],['https://git.rud.is/hrbrmstr/y2019-30daymapchallenge'],"['https://pbs.twimg.com/media/EJz0HedWoAEveKj.jpg', 'https://pbs.twimg.com/media/EJz0HedWoAA4ZOb.jpg', 'https://pbs.twimg.com/media/EJz0HeeXkAAD03Z.jpg']",0,1,4,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1197100025039470592,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}, {'user_id': '61853389', 'username': 'USDA'}]",
1197096998664654849,1190196553165737984,1574245140000,2019-11-20,05:19:00,EST,41566604,pierrebrt,Pierre Breteau,,"Jour 20 du #30DayMapChallenge, où il est question de « rural ». Allons donc voir vite fait avec qGis du côté d'un des pays les plus denses du monde – les Pays-Bas avec 411 hab./km² – où est la campagne (en 🟩). pic.twitter.com/8tCyFbUsK6",[],[],['https://pbs.twimg.com/media/EJzxXs1X0AA1GEY.jpg'],1,0,1,['#30daymapchallenge'],[],https://twitter.com/pierrebrt/status/1197096998664654849,False,,0,,,,,,,"[{'user_id': '41566604', 'username': 'pierrebrt'}]",
1197094879320518656,1197094879320518656,1574244634000,2019-11-20,05:10:34,EST,32283900,borismericskay,Boris Mericskay,,"#30DayMapChallenge Day 19-20 Urban Rural

⏩ Urban/Rural municipalities national typology by @InseeFr pic.twitter.com/adTAnNsTQ9",['inseefr'],[],['https://pbs.twimg.com/media/EJzvbtTXkAA1fN2.jpg'],2,3,34,['#30daymapchallenge'],[],https://twitter.com/BorisMericskay/status/1197094879320518656,False,,0,,,,,,,"[{'user_id': '32283900', 'username': 'BorisMericskay'}, {'user_id': '217473382', 'username': 'InseeFr'}]",
1197094396862316544,1197094396862316544,1574244519000,2019-11-20,05:08:39,EST,1499547780,heikkivesanto,Heikki Vesanto,,"Rural bus routes in Ireland, state subsidised and private. #30DayMapChallenge #Day20 #Rural Holy legend... pic.twitter.com/Fo8U0iZMu2",[],[],['https://pbs.twimg.com/media/EJzu_rbWkAIZ6Sy.jpg'],3,7,34,"['#30daymapchallenge', '#day20', '#rural']",[],https://twitter.com/HeikkiVesanto/status/1197094396862316544,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1197087951446040581,1197087951446040581,1574242983000,2019-11-20,04:43:03,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
Day 20. Rural
Mapa de la Frontera de S. Luis #Colotlán sus Pueblos, Ríos, y terminos: con demarcacion de las jurisdicciones, que por todos sus vientos ya la circulan, ya la incluyen. Guadalaxara, 27 de octubre de 1783. #Jalisco #México🇲🇽 Archivo de #Simancas pic.twitter.com/vkiHNzgsc3",[],[],['https://pbs.twimg.com/media/EJzpI6hWoAAuH9g.jpg'],0,1,0,"['#30daymapchallenge', '#colotlán', '#jalisco', '#méxico', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1197087951446040581,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1197086819046903808,1197086819046903808,1574242713000,2019-11-20,04:38:33,EST,77265423,ijturton,Ian Turton,,"Day 20 of the #30DayMapChallenge is rural, I had hoped to be able to download a version of the Land Parcel Information System which each EU country constructs for CAP payments, but apparently (in GB at least) it is derived data and so can't be public ( https://www.whatdotheyknow.com/request/rural_land_register_data_set …) pic.twitter.com/ZVrwP00Zd9",[],['https://www.whatdotheyknow.com/request/rural_land_register_data_set'],['https://pbs.twimg.com/media/EJzn8_DWoAATtrh.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ijturton/status/1197086819046903808,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1197086468117876736,1197086468117876736,1574242629000,2019-11-20,04:37:09,EST,3981933203,bettermeasured,Olga Kononykhina,,"#30DayMapChallenge 17. Zones
Zones challenged me to learn more about Voronoi diagrams and its implementation in R.
The result shows access to healthcare zones in #Ghana 🇬🇭
#dataviz #maps #ggplot #rstats #voronoi #sdg3 #healthcare #africa #health #hospital pic.twitter.com/G1WBeLloX6",[],[],['https://pbs.twimg.com/media/EJznyhYWsAIkWOe.jpg'],0,2,6,"['#30daymapchallenge', '#ghana', '#dataviz', '#maps', '#ggplot', '#rstats', '#voronoi', '#sdg3', '#healthcare', '#africa', '#health', '#hospital']",[],https://twitter.com/bettermeasured/status/1197086468117876736,False,,0,,,,,,,"[{'user_id': '3981933203', 'username': 'bettermeasured'}]",
1197085906643169280,1197085906643169280,1574242495000,2019-11-20,04:34:55,EST,34737662,positium,Positium,,"Day 20 (rural): Today's map depicts mobile connectivity in Papua New Guinea based on cell coverage.
#30DayMapChallenge #map #celltower #mobile #connectivity pic.twitter.com/YjD7xP9o21",[],[],['https://pbs.twimg.com/media/EJznR7oXYAAX_ME.jpg'],1,0,4,"['#30daymapchallenge', '#map', '#celltower', '#mobile', '#connectivity']",[],https://twitter.com/positium/status/1197085906643169280,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1197085233742524416,1197085233742524416,1574242335000,2019-11-20,04:32:15,EST,2198358416,tjukanov,Topi Tjukanov,,"Finnish municipalities with bright red color have more cows (cattle) than people living there.

#30DayMapChallenge day 20: rural. Data from @LukeFinland + @Tilastokeskus pic.twitter.com/uxK0usAnii","['lukefinland', 'tilastokeskus']",[],['https://pbs.twimg.com/media/EJzmq1sWoAIzhTA.jpg'],3,11,77,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1197085233742524416,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2893201804', 'username': 'LukeFinland'}, {'user_id': '253837902', 'username': 'Tilastokeskus'}]",
1197082828711714816,1197031699772608512,1574241761000,2019-11-20,04:22:41,EST,14851579,_kyliejane,Kylie Wilson,,"Trying again to post a smaller gif file for Day 12 to twitter
#30dayMapChallenge pic.twitter.com/KF8wqfhgFe",[],[],[],0,0,6,['#30daymapchallenge'],[],https://twitter.com/_kyliejane/status/1197082828711714816,False,,1,,,,,,,"[{'user_id': '14851579', 'username': '_kyliejane'}]",
1197082821808074752,1197082821808074752,1574241760000,2019-11-20,04:22:40,EST,3270581047,analisisgeo,Felipe Sosa,,#30DayMapChallenge #mde #3d creación de #georasters usando #AHGW de Aquaveo. Práctica para la materia de #Geoestadistica #Geostatistics pic.twitter.com/FwzS7UIRqQ,[],[],"['https://pbs.twimg.com/media/EJzkeZXW4AEC8-T.jpg', 'https://pbs.twimg.com/media/EJzkeZZX0AIBHzn.jpg', 'https://pbs.twimg.com/media/EJzkeZYXsAA23Dm.jpg', 'https://pbs.twimg.com/media/EJzkenHW4AUMDAt.jpg']",0,1,4,"['#30daymapchallenge', '#mde', '#3d', '#georasters', '#ahgw', '#geoestadistica', '#geostatistics']",[],https://twitter.com/AnalisisGeo/status/1197082821808074752,False,,0,,,,,,,"[{'user_id': '3270581047', 'username': 'AnalisisGeo'}]",
1197081856312840192,1197081856312840192,1574241529000,2019-11-20,04:18:49,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge - Day 20 - Rural - Here's a map of Dublin County Council development plan zoning for rural use. ""Rural"" is relative, but it'll be interesting to track what happens with these areas and uses longer term. pic.twitter.com/6z3kZ8M4Of",[],[],['https://pbs.twimg.com/media/EJzjl64XsAAbIQw.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/niclochg/status/1197081856312840192,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}]",
1197081595305512963,1197081595305512963,1574241467000,2019-11-20,04:17:47,EST,22146490,joriseekhout,Joris Eekhout,,"Day 20 (rural): The Mediterranean is characterized by complex rural patterns, mainly dominated by agriculture. There is a high percentage of irrigated agriculture due to low annual precipitation. This percentage will most likely increase in the future #30DayMapChallenge pic.twitter.com/CWBEAFtpYY",[],[],['https://pbs.twimg.com/media/EJzjWu8X0AI1UOh.jpg'],1,1,10,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1197081595305512963,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1197080615440568320,1197080615440568320,1574241234000,2019-11-20,04:13:54,EST,38010177,citizenfishy,Sweary Dave,,"#30DayMapChallenge Day 20 - Urban

I imagined the urban areas as the organs of an industrialised country connected by arterial trunk roads as veins. This is the closest I was able to get with my limited styling skills. Gunther von Hagens eat your heart out pic.twitter.com/ejNfPZMjYX",[],[],['https://pbs.twimg.com/media/EJziB9hXsAAHsnc.jpg'],4,3,7,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1197080615440568320,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1197079781860397056,1195817786829889537,1574241035000,2019-11-20,04:10:35,EST,706158714995269632,pivaurelien,Aurélien,,"(Partant du principe qu'en dehors de Vannes et Lorient, le Morbihan de 1906 est un département principalement agricole)

Jour 20 - Rural - #30DayMapChallenge

Mobilisation de la population du #Morbihan lors des inventaires des biens d’Église. pic.twitter.com/kJDDo5nRjT",[],[],['https://pbs.twimg.com/media/EJzhtSaX0AA51fL.jpg'],2,0,1,"['#30daymapchallenge', '#morbihan']",[],https://twitter.com/pivaurelien/status/1197079781860397056,False,,0,,,,,,,"[{'user_id': '706158714995269632', 'username': 'pivaurelien'}]",
1197079426774626305,1197079426774626305,1574240950000,2019-11-20,04:09:10,EST,33788841,dakvid,suǝbbıɹɟ pıʌɐp,,"For the Day 20 ""rural"" theme I thought I would map without rural areas, imagining New Zealand's urban areas[*] as an archipelago. (Hint: the arrow points north.)
#30DayMapChallenge #QGIS
[*] new 2018 @Stats_NZ classification pic.twitter.com/sIw9L4U1sB",['stats_nz'],[],['https://pbs.twimg.com/media/EJzhYqvVAAAH-tA.jpg'],0,0,1,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/dakvid/status/1197079426774626305,False,,0,,,,,,,"[{'user_id': '33788841', 'username': 'dakvid'}, {'user_id': '56802117', 'username': 'Stats_NZ'}]",
1197076853305040896,1197076853305040896,1574240337000,2019-11-20,03:58:57,EST,254280354,goolzoom,Goolzoom,,Nuestra pequeña aportación al #30DayMapChallenge Madrid year of construction #Madrid #GIS pic.twitter.com/5Cebf6qbDy,[],[],['https://pbs.twimg.com/media/EJzfDHMXkAAZot5.jpg'],0,4,15,"['#30daymapchallenge', '#madrid', '#gis']",[],https://twitter.com/Goolzoom/status/1197076853305040896,False,,0,,,,,,,"[{'user_id': '254280354', 'username': 'Goolzoom'}]",
1197075741218787328,1197075741218787328,1574240071000,2019-11-20,03:54:31,EST,215404498,akadouri,Ariel Kadouri,,"If you haven't noticed by now, my #30DayMapChallenge is an ad campaign for OpenStreetMap. Not much to add for Day 19:Urban, plainly plotting the building footprints for the City of London. pic.twitter.com/92TTyxOMcd",[],[],['https://pbs.twimg.com/media/EJzeBlPU4AAHEWJ.png'],0,0,9,['#30daymapchallenge'],[],https://twitter.com/akadouri/status/1197075741218787328,False,,0,,,,,,,"[{'user_id': '215404498', 'username': 'akadouri'}]",
1197073850220957697,1197073850220957697,1574239621000,2019-11-20,03:47:01,EST,14806596,aschiff,Aaron Schiff,,Just a simple one for day 20 of #30DayMapChallenge - rural: The parts of Auckland with some kind of rural zoning. Code:  https://github.com/aaronschiff/30-day-map-challenge/blob/master/20-rural.R … pic.twitter.com/cE7ZRNP9oS,[],['https://github.com/aaronschiff/30-day-map-challenge/blob/master/20-rural.R'],['https://pbs.twimg.com/media/EJzcUBhVAAEGhGr.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/aschiff/status/1197073850220957697,False,,0,,,,,,,"[{'user_id': '14806596', 'username': 'aschiff'}]",
1197072065712537601,1196813087589969923,1574239195000,2019-11-20,03:39:55,EST,2198358416,tjukanov,Topi Tjukanov,,"One more for this #30DayMapChallenge theme and with @SWAC_OECD data.

Urban agglomerations in Africa with more than 1 million inhabitants. Mindboggling. pic.twitter.com/nIKBdE1EsL",['swac_oecd'],[],['https://pbs.twimg.com/media/EJzasZ2WwAAwf2X.jpg'],0,1,8,['#30daymapchallenge'],[],https://twitter.com/tjukanov/status/1197072065712537601,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2811204742', 'username': 'SWAC_OECD'}]",
1197062409975975936,1197062409975975936,1574236893000,2019-11-20,03:01:33,EST,65125461,bplmaps,Leventhal Map & Education Center at the BPL,,"This image from an 1871 NH pictorial map promotes a fantasy of a rugged #rural environment, complete with knife fights with bears. But defining rural as anyplace NOT urban is complicated even when geographers factor in land use, density, demographics, or bears. #30daymapchallenge pic.twitter.com/jbjQuUWSZk",[],[],['https://pbs.twimg.com/media/EJzRtu2XYAA3Qja.png'],0,3,13,"['#rural', '#30daymapchallenge']",[],https://twitter.com/bplmaps/status/1197062409975975936,False,,0,,,,,,,"[{'user_id': '65125461', 'username': 'bplmaps'}]",
1197059987484368896,1197059987484368896,1574236315000,2019-11-20,02:51:55,EST,473886721,ticlme,TiCL,,"#30DayMapChallenge

Looks like everyone’s a bit #scaredoftrees ... https://twitter.com/kgjenkins/status/1196899944705212422 …",[],['https://twitter.com/kgjenkins/status/1196899944705212422'],[],1,0,2,"['#30daymapchallenge', '#scaredoftrees']",[],https://twitter.com/TiCLme/status/1197059987484368896,False,https://twitter.com/kgjenkins/status/1196899944705212422,0,,,,,,,"[{'user_id': '473886721', 'username': 'TiCLme'}]",
1197045727794515968,1197045727794515968,1574232916000,2019-11-20,01:55:16,EST,269294137,michelstuyts,Michel Stuyts 🌍,Grenspark de Zoom-Kalmthoutse Heide,#30DayMapChallenge day 20: a color infrared image of Grenspark de Zoom Kalmthoutse Heide. Data by @info_vlaanderen and @openstreetmap // #rural imagery pic.twitter.com/FmnzDuEDKC,"['info_vlaanderen', 'openstreetmap']",[],['https://pbs.twimg.com/media/EJzCvaYXsAAQ-Mi.jpg'],0,0,4,"['#30daymapchallenge', '#rural']",[],https://twitter.com/michelstuyts/status/1197045727794515968,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '845226781', 'username': 'info_vlaanderen'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1197044212031729666,1197044212031729666,1574232554000,2019-11-20,01:49:14,EST,1110113188736049152,volayaf,Víctor Olaya,,"I haven't been able to keep up with the #30DayMapChallenge in the last days, and this doesn't follow the philosophy of the other posts, but here's my day 20. Rural.

The village where I live,  as shown in the Napoleonic Cadaster from 1812 pic.twitter.com/5S6UYXCvwk",[],[],['https://pbs.twimg.com/media/EJzBUdWW4AEs_CK.jpg'],1,1,32,['#30daymapchallenge'],[],https://twitter.com/volayaf/status/1197044212031729666,False,,0,,,,,,,"[{'user_id': '1110113188736049152', 'username': 'volayaf'}]",
1197040052838293504,1190472318885208064,1574231563000,2019-11-20,01:32:43,EST,237889929,denisedslu,ಠ_ಠ,,Day 18 of #30DayMapChallenge – Globe. Loose interpretation here… but I used Google Earth Studio for the first time (+ this easy tut  https://www.youtube.com/watch?v=OYg7dH2UbOU …) to zoom in to some incredibly intricate rice terraced fields in Vietnam! pic.twitter.com/AlPDMkQ4XA,[],['https://www.youtube.com/watch?v=OYg7dH2UbOU'],[],1,0,6,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1197040052838293504,False,,1,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1197035685506629632,1197035685506629632,1574230521000,2019-11-20,01:15:21,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Rural. 20 maps down, 10 to go! Here's a study of the amount of tractors / 100 ha of arable land in Finland. So much disruption. Data: @LukeFinland, @Tilastokeskus, @TraficomFinland #30DayMapChallenge #rural #maatalous #agriculture #disruption #disruptio pic.twitter.com/YuEEh16CTb","['lukefinland', 'tilastokeskus', 'traficomfinland']",[],['https://pbs.twimg.com/media/EJy5m3DXsAIiTWx.jpg'],2,6,12,"['#30daymapchallenge', '#rural', '#maatalous', '#agriculture', '#disruption', '#disruptio']",[],https://twitter.com/AlsuhailFaris/status/1197035685506629632,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '2893201804', 'username': 'LukeFinland'}, {'user_id': '253837902', 'username': 'Tilastokeskus'}, {'user_id': '877515152987443201', 'username': 'TraficomFinland'}]",
1197031699772608512,1197031699772608512,1574229571000,2019-11-20,00:59:31,EST,14851579,_kyliejane,Kylie Wilson,,"Day 12 movement #30DayMapChallenge …that took a while. Learning animation in QGIS & couldn't figure out timing of the data, turns out it's ""thinned"" to 60 mins, which is not nice for good paths. AIS data from AMSA. (now too big to upload 🙄 so link)
 http://atlas.sydney/atlas/30-day-map-challenge/day12-ais.gif …",[],['http://atlas.sydney/atlas/30-day-map-challenge/day12-ais.gif'],[],1,0,3,['#30daymapchallenge'],[],https://twitter.com/_kyliejane/status/1197031699772608512,False,,0,,,,,,,"[{'user_id': '14851579', 'username': '_kyliejane'}]",
1197028784836210688,1197028784836210688,1574228876000,2019-11-20,00:47:56,EST,165669854,williamscraigm,Craig Williams,,#30DayMapChallenge Day 19: Urban. Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo. pic.twitter.com/6U6nXqCt4J,[],[],['https://pbs.twimg.com/media/EJyzUveVUAAn1BN.jpg'],3,2,28,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1197028784836210688,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1197021079631486976,1197021079631486976,1574227039000,2019-11-20,00:17:19,EST,359015182,7javier6,Javier,,"#30DayMapChallenge day 19, Interpolation by DBH of 250000 trees in urban areas in Cali, Colombia -“La Sucursal del Cielo”/ Interpolacion de 250000 árboles por DAP en el área urbana de Cali -“La Sucursal del Cielo”  @ddiazescandon #QGIS #TeamTrees @EnterateCali @elpaiscali #urban pic.twitter.com/HNwYPnAanZ","['ddiazescandon', 'enteratecali', 'elpaiscali']",[],['https://pbs.twimg.com/media/EJysSOZXkAAjaew.jpg'],0,2,7,"['#30daymapchallenge', '#qgis', '#teamtrees', '#urban']",[],https://twitter.com/7Javier6/status/1197021079631486976,False,,0,,,,,,,"[{'user_id': '359015182', 'username': '7Javier6'}, {'user_id': '85232878', 'username': 'ddiazescandon'}, {'user_id': '176997689', 'username': 'EnterateCali'}, {'user_id': '14050583', 'username': 'elpaiscali'}]",
1197009632948031489,1197009632948031489,1574224310000,2019-11-19,23:31:50,EST,496514453,visualvariable,Travis White,,"#30DayMapChallenge

Day 19. Urban

Building footprints of Kansas' two most urbanized counties, Johnson (96%) & Wyandotte (94%). It's a bit blurred, but if you squint you can see my house. pic.twitter.com/6tQ5N2wnng",[],[],['https://pbs.twimg.com/media/EJyh6S0X0AETS3p.jpg'],1,0,10,['#30daymapchallenge'],[],https://twitter.com/visualvariable/status/1197009632948031489,False,,0,,,,,,,"[{'user_id': '496514453', 'username': 'visualvariable'}]",
1196999224014954497,1196999224014954497,1574221828000,2019-11-19,22:50:28,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 20 of #30DayMapChallenge – Rural:

Tongariro National Park pic.twitter.com/0BP5KYCVUU",[],[],['https://pbs.twimg.com/media/EJyYbpBVUAA_xOZ.jpg'],3,7,56,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1196999224014954497,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1196996282193207302,1196996282193207302,1574221127000,2019-11-19,22:38:47,EST,2236680859,rileydchampine,Riley D. Champine,,Here's my Urban map for day 18 of the #30DayMapChallenge. This shows the age of buildings in central DC. Once again shouts to  https://opendata.dc.gov/ . This dataset has EVERY building in the District! #DC #Cartography pic.twitter.com/r0FF4SeuvA,[],['https://opendata.dc.gov/'],['https://pbs.twimg.com/media/EJyVw53WoAESirB.jpg'],4,1,58,"['#30daymapchallenge', '#dc', '#cartography']",[],https://twitter.com/rileydchampine/status/1196996282193207302,False,,0,,,,,,,"[{'user_id': '2236680859', 'username': 'rileydchampine'}]",
1196989756187533313,1196989756187533313,1574219571000,2019-11-19,22:12:51,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
Day 19: Urban
not too much imagination and time pic.twitter.com/Dq2F00wHos",[],[],['https://pbs.twimg.com/media/EJyP0sEW4AAfet8.png'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/SergioIbarraEs1/status/1196989756187533313,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}]",
1196988791610904577,1196988791610904577,1574219341000,2019-11-19,22:09:01,EST,1050012228483776512,sergioibarraes1,Sergio Ibarra Espinosa,,"#30DayMapChallenge
Day 18: Globe

 https://ibarraespinosa.github.io/planeta/
One day I will do something cool using @CesiumJS pic.twitter.com/c1RYwriqqt",['cesiumjs'],['https://ibarraespinosa.github.io/planeta/'],['https://pbs.twimg.com/media/EJyO8qfWwAEPi_s.png'],1,0,4,['#30daymapchallenge'],[],https://twitter.com/SergioIbarraEs1/status/1196988791610904577,False,,0,,,,,,,"[{'user_id': '1050012228483776512', 'username': 'SergioIbarraEs1'}, {'user_id': '2187485455', 'username': 'CesiumJS'}]",
1196982325952811011,1196982325952811011,1574217800000,2019-11-19,21:43:20,EST,8194442,aldurin,Thiago,,Essa hashtag: #30DayMapChallenge <3,[],[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/aldurin/status/1196982325952811011,False,,0,,,,,,,"[{'user_id': '8194442', 'username': 'aldurin'}]",
1196979011827703808,1196979011827703808,1574217009000,2019-11-19,21:30:09,EST,2424592651,timstonge,Tim St. Onge,,"#30DayMapChallenge Day 18 - Globe: It's time for ""Better Know a Projection!"" Here's the Craster Parabolic Projection with some fun factoids to impress your friends! (Source: Blue Marble Geographics) pic.twitter.com/1sWwg8D1AC",[],[],['https://pbs.twimg.com/media/EJyGB-tXkAAF8k9.jpg'],1,0,6,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1196979011827703808,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1196978228247908352,1196978228247908352,1574216823000,2019-11-19,21:27:03,EST,13215962,jerry_shannon,Jerry Shannon,,"Today's #30DayMapChallenge theme is urban, and I used Google Earth Studio to plot a track along MetroTransit's Blue Line in Minneapolis, from the mall to downtown, then veering over to the Social Science tower and my alma mater, @UMNGeography. HD video:  https://youtu.be/aJrX_-OsYIY  pic.twitter.com/rWs72iJuMF",['umngeography'],['https://youtu.be/aJrX_-OsYIY'],[],1,0,10,['#30daymapchallenge'],[],https://twitter.com/jerry_shannon/status/1196978228247908352,False,,1,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}, {'user_id': '818941051507458049', 'username': 'UMNGeography'}]",
1196978173898084353,1196978173898084353,1574216810000,2019-11-19,21:26:50,EST,82467442,thomasg77,Thomas gratier,,"Day 13 tracks ""Mapping quiz formula 1 season 2019"" #30DayMapChallenge (low resolution here, see the repo  https://github.com/ThomasG77/30DayMapChallenge/tree/master/day13_tracks …. Be careful as I provide also the answers :) #F1 pic.twitter.com/Q6uIgDKMC9",[],['https://github.com/ThomasG77/30DayMapChallenge/tree/master/day13_tracks'],['https://pbs.twimg.com/media/EJyFJmDWkAAy0mH.jpg'],0,2,7,"['#30daymapchallenge', '#f1']",[],https://twitter.com/ThomasG77/status/1196978173898084353,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1196965130443087872,1190475062362677248,1574213700000,2019-11-19,20:35:00,EST,379176102,daniel_isita,D.,,"18. Globe
#30DayMapChallenge

The world represented through its ports and airports.

Data from  http://www.naturalearthdata.com
#Airports #Ports #QGIS #World pic.twitter.com/e3d2aKiHy4","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina']",['http://www.naturalearthdata.com'],['https://pbs.twimg.com/media/EJx5b2-WwAAXyPC.jpg'],1,3,13,"['#30daymapchallenge', '#airports', '#ports', '#qgis', '#world']",[],https://twitter.com/daniel_isita/status/1196965130443087872,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}]",
1196956925138739200,1196956925138739200,1574211743000,2019-11-19,20:02:23,EST,822048926081712128,cchurchili,Carl Churchill,,"Last day of slow internet, heres another old map for the #30DayMapChallenge. This is a experiment in a watercolor style inside #ArcGISPro for #Chicago: https://flic.kr/p/2fnRmiM ",[],['https://flic.kr/p/2fnRmiM'],[],0,1,10,"['#30daymapchallenge', '#arcgispro', '#chicago']",[],https://twitter.com/Cchurchili/status/1196956925138739200,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1196953054135894016,1196953054135894016,1574210821000,2019-11-19,19:47:01,EST,386830764,hasdid,Yohan J. Rodríguez,,#R #Automated | #30DayMapChallenge: 30 days building maps (2) - tmap https://statnmap.com/2019-11-15-30daymapchallenge-building-maps-2-tmap/ …,[],['https://statnmap.com/2019-11-15-30daymapchallenge-building-maps-2-tmap/'],[],0,1,1,"['#r', '#automated', '#30daymapchallenge']",[],https://twitter.com/hasdid/status/1196953054135894016,False,,0,,,,,,,"[{'user_id': '386830764', 'username': 'hasdid'}]",
1196949148538482689,1196758091565543425,1574209889000,2019-11-19,19:31:29,EST,17242884,maartenzam,Maarten Lambrechts,,So you published the map before the source files were published? I thought @marineregions was just a little too late for #30DayMapChallenge nr 17 :),"['arnold_platon', 'marineregions']",[],[],1,0,1,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1196949148538482689,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '800277926348324864', 'username': 'Arnold_Platon'}, {'user_id': '978628662', 'username': 'marineregions'}]",
1196946038420099073,1196946038420099073,1574209148000,2019-11-19,19:19:08,EST,39364847,carolpos,carolina passos,,"18 Globe
Exchange program of Brazilian architecture students
#30DayMapChallenge pic.twitter.com/jE48jT8d8r",[],[],['https://pbs.twimg.com/media/EJxoEH2WsAE3WEk.jpg'],0,0,11,['#30daymapchallenge'],[],https://twitter.com/carolpos/status/1196946038420099073,False,,0,,,,,,,"[{'user_id': '39364847', 'username': 'carolpos'}]",
1196945024396726273,1196945024396726273,1574208906000,2019-11-19,19:15:06,EST,2239825712,iiegj,IIEG Jalisco,,#30DayMapChallenge Día 19. Urbano.  En Jalisco existen 238 localidades urbanas en las cuales reside el 77% de la población del estado. pic.twitter.com/SBja6nYPRq,[],[],['https://pbs.twimg.com/media/EJxnJ8aWoAAkr1e.jpg'],0,7,16,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1196945024396726273,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1196944705931661312,1196944705931661312,1574208830000,2019-11-19,19:13:50,EST,309734801,samwise_v,Sam J,,"Day 19 theme of the #30DayMapChallenge  is Urban. I have done a quick render of Birmingham to show the new Index of Multiple Deprivation. Put together in #qgis and a bit of #b3d, with data clipped using @OrdnanceSurvey #zoomstack buildings. pic.twitter.com/swlIxS9bBw",['ordnancesurvey'],[],['https://pbs.twimg.com/media/EJxm2ffWsAApaBx.jpg'],2,3,28,"['#30daymapchallenge', '#qgis', '#b3d', '#zoomstack']",[],https://twitter.com/samwise_v/status/1196944705931661312,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}]",
1196943176487051264,1196943176487051264,1574208466000,2019-11-19,19:07:46,EST,309734801,samwise_v,Sam J,,Nearly 3 weeks in of the #30DayMapChallenge and I have ran out of space on my hard drive downloading random DEMs and OSM data,[],[],[],1,0,4,['#30daymapchallenge'],[],https://twitter.com/samwise_v/status/1196943176487051264,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1196943011357351943,1196943011357351943,1574208426000,2019-11-19,19:07:06,EST,4241359336,philmassicotte,Philippe Massicotte,,"#30DayMapChallenge #⃣1⃣9⃣
#dataviz of The past, present and future of urban areas.

Made with #rstats pic.twitter.com/sGco9YlCQk",[],[],['https://pbs.twimg.com/media/EJxlT9zWsAA9545.jpg'],1,1,1,"['#30daymapchallenge', '#dataviz', '#rstats']",[],https://twitter.com/philmassicotte/status/1196943011357351943,False,,0,,,,,,,"[{'user_id': '4241359336', 'username': 'philmassicotte'}]",
1196930147653423104,1196930147653423104,1574205359000,2019-11-19,18:15:59,EST,3004850417,rodolfoalmd,Rodolfo Almeida,,"Pode fazer #30DayMapChallenge em um dia só? Num pode, mas se pudesse eu postaria só esse mapa aqui. pic.twitter.com/Od7vCnD4Ic",[],[],['https://pbs.twimg.com/media/EJxZgsFWsAAd5B0.jpg'],7,4,40,['#30daymapchallenge'],[],https://twitter.com/rodolfoalmd/status/1196930147653423104,False,,0,,,,,,,"[{'user_id': '3004850417', 'username': 'rodolfoalmd'}]",
1196926351560695808,1196926351560695808,1574204454000,2019-11-19,18:00:54,EST,886193556,allisoncully,Allison Cully,,"Day 19: Urban
Landsat false colour of the most populous urban area in the world, the Greater Tokyo Area. This isn’t really a standard band combination, but I love how both the urban areas and the water come out in it.
#30DayMapChallenge #ArcGISPro pic.twitter.com/SLWxnb89Dj",[],[],['https://pbs.twimg.com/media/EJxWKZPU0AI_Bot.jpg'],0,2,11,"['#30daymapchallenge', '#arcgispro']",[],https://twitter.com/AllisonCully/status/1196926351560695808,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1196925335696105472,1196925335696105472,1574204212000,2019-11-19,17:56:52,EST,940411502,gutierrezymarco,marko gutierrez,,"#30DayMapChallenge #Urban En México existen 4,563 localidades clasificadas como urbanas por el #INEGI en el Marco Geoestadístico. #maps pic.twitter.com/zsZiIln7ON",[],[],[],0,0,2,"['#30daymapchallenge', '#urban', '#inegi', '#maps']",[],https://twitter.com/GutierrezyMarco/status/1196925335696105472,False,,1,,,,,,,"[{'user_id': '940411502', 'username': 'GutierrezyMarco'}]",
1196925329312559109,1196925329312559109,1574204210000,2019-11-19,17:56:50,EST,489547971,richardzimerman,Richard Zimerman,,For day 19: Urban of #30DayMapChallenge — A map @cristinapoiata and I made earlier this year based on data from UNDESA showing size and growth of 1800+ urban areas with more than 300k inhabitants over a period of 70 years. #cartography #geography #dataviz pic.twitter.com/xQdOwWkjRt,['cristinapoiata'],[],[],0,2,6,"['#30daymapchallenge', '#cartography', '#geography', '#dataviz']",[],https://twitter.com/RichardZimerman/status/1196925329312559109,False,,1,,,,,,,"[{'user_id': '489547971', 'username': 'RichardZimerman'}, {'user_id': '886808850', 'username': 'cristinapoiata'}]",
1196924638187659264,1196924638187659264,1574204046000,2019-11-19,17:54:06,EST,82467442,thomasg77,Thomas gratier,,"⚡️ “My personal #30DayMapChallenge” par @ThomasG77
Will update while publishing  https://twitter.com/i/moments/1196919175056363523 …
Repo with all samples at  https://github.com/ThomasG77/30DayMapChallenge … (you will need to get data yourself for some samples because assets should be < 50Mo with Github policy)",['thomasg77'],"['https://twitter.com/i/moments/1196919175056363523', 'https://github.com/ThomasG77/30DayMapChallenge']",[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1196924638187659264,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1196920590822600704,1196920590822600704,1574203081000,2019-11-19,17:38:01,EST,227794959,piniisima,Carlos Piña,,"El respirar de #México🇲🇽en términos de tuits aún es débil, su representatividad es baja. La mayor actividad es en #CDMX desde donde se lanzan y polarizan temas. Ningún hashtag debe considerarse como verdad absoluta o generalizable. México es más que solo #CDMX #30DayMapChallenge pic.twitter.com/Hf8LjM3Yow",[],[],[],1,17,34,"['#méxico', '#cdmx', '#cdmx', '#30daymapchallenge']",[],https://twitter.com/Piniisima/status/1196920590822600704,False,,1,,,,,,,"[{'user_id': '227794959', 'username': 'Piniisima'}]",
1196914657853923330,1190289408022454272,1574201666000,2019-11-19,17:14:26,EST,69918773,gerardathletics,Gerard M. Porras,,"Dia 19: Urban.

Pàrquings a Lleida. Els punts són pàrquings dins d'un edifici o subterranis.
Dades d' @OSMcatala. Amenity=parking.

#30DayMapChallenge
#QGIS pic.twitter.com/PfzG7DY67J","['openstreetmap', 'osmcatala']",[],['https://pbs.twimg.com/media/EJxLhbHWkAggA_h.jpg'],2,2,4,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/Gerardathletics/status/1196914657853923330,False,,0,,,,,,,"[{'user_id': '69918773', 'username': 'Gerardathletics'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '2436978392', 'username': 'OSMcatala'}]",
1196911665297666052,1196911665297666052,1574200953000,2019-11-19,17:02:33,EST,437801734,blanky343,Antonia Blankenberg,,"#30DayMapChallenge Day 19: Urban

A quick analysis of urban vs rural public transport in #Cork showing vast impacts of the #urban environment on connectivity and access to services pic.twitter.com/gH7aeIyLOq",[],[],['https://pbs.twimg.com/media/EJxIzw7WoAMwQFM.jpg'],1,2,5,"['#30daymapchallenge', '#cork', '#urban']",[],https://twitter.com/blanky343/status/1196911665297666052,False,,0,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1196906736348737537,1196906736348737537,1574199778000,2019-11-19,16:42:58,EST,1669906789,marcominghini,Marco Minghini,,"#30DayMapChallenge

Day 1⃣6⃣ Places:
All the @openstreetmap nodes representing places (tag: place=*) & located in the wonderful Sardinia, Italy 🇮🇹
(more info on the place key:  https://wiki.openstreetmap.org/wiki/Key%3Aplace …). Maps designed in @qgis. #opensource #opendata pic.twitter.com/Id9mzz9OMr","['openstreetmap', 'qgis']",['https://wiki.openstreetmap.org/wiki/Key%3Aplace'],['https://pbs.twimg.com/media/EJxEUszWwAMLjU1.jpg'],0,1,6,"['#30daymapchallenge', '#opensource', '#opendata']",[],https://twitter.com/MarcoMinghini/status/1196906736348737537,False,,0,,,,,,,"[{'user_id': '1669906789', 'username': 'MarcoMinghini'}, {'user_id': '17925320', 'username': 'openstreetmap'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '949438178', 'username': 'OpenStreetMapIt'}]",
1196905337439375360,1190253562267340800,1574199444000,2019-11-19,16:37:24,EST,17242884,maartenzam,Maarten Lambrechts,,"#30DayMapChallenge nr 19 (urban): The Growth of Cities, 1500 - 2000. Circle size = population pic.twitter.com/IAJlmxrNSf","['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper']",[],[],2,1,10,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1196905337439375360,False,,1,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}]",
1196902909260242944,1196902909260242944,1574198865000,2019-11-19,16:27:45,EST,14707170,martinbangratz,Martin 🚡,,"Digging up my favorite project for #30DayMapChallenge day 19: #Urban

Transit isochrones showing different city centres' accessibility within 15, 30 and 60 minutes on #PublicTransport + walking.

Tools used:
@heredev API, #Python & @qgis pic.twitter.com/18DEJFgoYJ","['heredev', 'qgis']",[],['https://pbs.twimg.com/media/EJxA0rCWoAgiDvH.jpg'],0,0,14,"['#30daymapchallenge', '#urban', '#publictransport', '#python']",[],https://twitter.com/MartinBangratz/status/1196902909260242944,False,,0,,,,,,,"[{'user_id': '14707170', 'username': 'MartinBangratz'}, {'user_id': '903932376', 'username': 'heredev'}, {'user_id': '271327412', 'username': 'qgis'}]",
1196899944705212422,1196899944705212422,1574198158000,2019-11-19,16:15:58,EST,275677658,kgjenkins,Keith Jenkins,,"Am I doing this right?  Day 1: points (street trees)
#30DayMapChallenge pic.twitter.com/FKRKsJDmIJ",[],[],['https://pbs.twimg.com/media/EJw-J7oXUAA_u6u.jpg'],1,0,17,['#30daymapchallenge'],[],https://twitter.com/kgjenkins/status/1196899944705212422,False,,0,,,,,,,"[{'user_id': '275677658', 'username': 'kgjenkins'}]",
1196897137470181377,1196897137470181377,1574197489000,2019-11-19,16:04:49,EST,461965493,kriksine,Kristīne,,"#30DayMapChallenge 14. diena robežas. Draudzības kurgāns. Uz kurgānu stiepjas trīs alejas: liepu (Latvija), kļavu (Baltkrievija) un bērzu (Krievija). pic.twitter.com/wvYuuii79z",[],[],['https://pbs.twimg.com/media/EJw7mDjW4AEDwHr.jpg'],4,3,15,['#30daymapchallenge'],[],https://twitter.com/kriksine/status/1196897137470181377,False,,0,,,,,,,"[{'user_id': '461965493', 'username': 'kriksine'}]",
1196896389462200321,1196896389462200321,1574197311000,2019-11-19,16:01:51,EST,14992557,gontsa,gontsa,,"Year of construction of buildings in Lviv, Ukraine. Shaded according to year of construction buildings in the center of city.
Lviv was founded near the beginning of the 13th century.
#30DayMapChallenge Day 19: Urban
Data: #OpenStreetMap contributors, #qgis pic.twitter.com/CPpVW9a6eA",[],[],['https://pbs.twimg.com/media/EJw65qWX0AAHCjg.jpg'],5,24,76,"['#30daymapchallenge', '#openstreetmap', '#qgis']",[],https://twitter.com/gontsa/status/1196896389462200321,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1196895758068396032,1194825808524849152,1574197160000,2019-11-19,15:59:20,EST,14344140,darenw,Daren Willman,,Day nine of the #30DayMapChallenge (yellow)... Animating all 204 of Nelson Cruz #MLB leading home runs since 2015 pic.twitter.com/t1T8cmB4rw,['fenwaypark'],[],[],0,3,20,"['#30daymapchallenge', '#mlb']",[],https://twitter.com/darenw/status/1196895758068396032,False,,1,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}, {'user_id': '3840475692', 'username': 'fenwaypark'}]",
1196893681518809091,1196893681518809091,1574196665000,2019-11-19,15:51:05,EST,510774054,marcel__dekker,Marcel Dekker,,"#30DayMapChallenge Day 19: Urban.
Based on open data, travel times (isochrones) and some layer blending in QGIS I made this 'Blue Zone' map. It's still work in progress. pic.twitter.com/PLbqNVVRgA",[],[],['https://pbs.twimg.com/media/EJw4c2VWkAEl8Oj.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/marcel__dekker/status/1196893681518809091,False,,0,,,,,,,"[{'user_id': '510774054', 'username': 'marcel__dekker'}]",
1196888159767990273,1196888159767990273,1574195349000,2019-11-19,15:29:09,EST,14130929,ttso,Tuija Sonkkila,,"#30DayMapChallenge Day 19: Urban. The more urban, the more noise - that's how it still is, unfortunately. Highest decibel levels by Helsinki metro in 2017, just before the metro line was extended to the W. Code:  https://github.com/tts/mapchallenge/blob/master/urbannoise.R … #ggplot #sf #rstats @HRInfoshare pic.twitter.com/U2FkZ7jtHo",['hrinfoshare'],['https://github.com/tts/mapchallenge/blob/master/urbannoise.R'],['https://pbs.twimg.com/media/EJwxZJsXkAAAFte.png'],0,3,6,"['#30daymapchallenge', '#ggplot', '#sf', '#rstats']",[],https://twitter.com/ttso/status/1196888159767990273,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '304376130', 'username': 'HRInfoshare'}]",
1196887626130894853,1196887626130894853,1574195221000,2019-11-19,15:27:01,EST,2187485455,cesiumjs,Cesium,,"#30DayMapChallenge 19 - Urban

@DRCOGorg's Scenario Manager maps proposed real estate development plans to help city planners evaluate alternative real estate development scenarios.

 https://cesium.com/blog/2017/07/23/drcog/ … #PoweredbyCesium pic.twitter.com/D80LApkeqV",['drcogorg'],['https://cesium.com/blog/2017/07/23/drcog/'],['https://pbs.twimg.com/media/EJwy8_KWsAcTEug.jpg'],0,3,15,"['#30daymapchallenge', '#poweredbycesium']",[],https://twitter.com/CesiumJS/status/1196887626130894853,False,,0,,,,,,,"[{'user_id': '2187485455', 'username': 'CesiumJS'}, {'user_id': '115929070', 'username': 'DRCOGorg'}]",
1196883704599252997,1196883704599252997,1574194286000,2019-11-19,15:11:26,EST,137107982,atdodkonfektes,Zane,,#30DayMapChallenge 19: pilsētvide. Pretmeti. Iedzīvotāju kņada un dabas miers. pic.twitter.com/IUkuuhsn1c,[],[],['https://pbs.twimg.com/media/EJwvXdeXsAEFI6b.jpg'],0,1,5,['#30daymapchallenge'],[],https://twitter.com/atdodkonfektes/status/1196883704599252997,False,,0,,,,,,,"[{'user_id': '137107982', 'username': 'atdodkonfektes'}]",
1196883507441733634,1196883507441733634,1574194239000,2019-11-19,15:10:39,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 19 #Urban
🏙️Localidades urbanas en México

#QGIS pic.twitter.com/3MK9mL5ltn",[],[],['https://pbs.twimg.com/media/EJwvL7uWkAMLnGa.jpg'],0,4,10,"['#30daymapchallenge', '#urban', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1196883507441733634,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1196882956071178240,1196882956071178240,1574194108000,2019-11-19,15:08:28,EST,3720386117,teemusaloriutta,Teemu Saloriutta,,#30DayMapChallenge day 20: rural. @SYKEinfo kaupunki-maaseutuluokituksesta huomio kiinnittyi Suomenselän vedenjakajaseudun harvaan asuttuun alueeseen. Etsin sieltä kauimpana kaupungeista sijaitsevan pisteen: turvetuotantoalueella mutta vieressä hieno Salamajärven kansallispuisto.  https://twitter.com/TeemuSaloriutta/status/1196051603620532224 … pic.twitter.com/pEbwVb6wjO,['sykeinfo'],['https://twitter.com/TeemuSaloriutta/status/1196051603620532224'],"['https://pbs.twimg.com/media/EJwuseRXkAEJp46.jpg', 'https://pbs.twimg.com/media/EJwuseYXUAE4w8B.jpg']",2,2,9,['#30daymapchallenge'],[],https://twitter.com/TeemuSaloriutta/status/1196882956071178240,False,,0,,,,,,,"[{'user_id': '3720386117', 'username': 'TeemuSaloriutta'}, {'user_id': '2190170011', 'username': 'SYKEinfo'}]",
1196882513962192896,1196820649798438915,1574194002000,2019-11-19,15:06:42,EST,895591511768813569,statnmap,Sébastien Rochette,,"There are multiple resources listed on the GitHub page:  https://GitHub.com/mtennekes/tmap
Also, last week I did a special {tmap} post for the #30DayMapChallenge:  https://statnmap.com/2019-11-15-30daymapchallenge-building-maps-2-tmap/ …","['rscharftweets', 'talk_rspatial']","['https://GitHub.com/mtennekes/tmap', 'https://statnmap.com/2019-11-15-30daymapchallenge-building-maps-2-tmap/']",[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/StatnMap/status/1196882513962192896,False,,0,,,,,,,"[{'user_id': '895591511768813569', 'username': 'StatnMap'}, {'user_id': '128995370', 'username': 'rscharftweets'}, {'user_id': '1167480817175683073', 'username': 'talk_rspatial'}]",
1196876110618910726,1196876110618910726,1574192476000,2019-11-19,14:41:16,EST,1056624482566266880,57x025,emil,,Running possibilities in winter evenings #30DayMapChallenge pic.twitter.com/AkwmdliWfP,[],[],['https://pbs.twimg.com/media/EJwodKVWwAAwiDX.jpg'],0,0,7,['#30daymapchallenge'],[],https://twitter.com/57x025/status/1196876110618910726,False,,0,,,,,,,"[{'user_id': '1056624482566266880', 'username': '57x025'}]",
1196874063949574145,1196874063949574145,1574191988000,2019-11-19,14:33:08,EST,82467442,thomasg77,Thomas gratier,,"Day 12 movement ""Les lignes ferroviaires et leur vitesse maximum en France"" #30DayMapChallenge Fait avec #qgis, données Admin Express et dérivées des données OpenData SNCF  https://github.com/nicolaswurtz/extras-opendata-sncf-reseau … cc @NicolasW_GRAOU #sncf #trains pic.twitter.com/3AW8c1bSxg",['nicolasw_graou'],['https://github.com/nicolaswurtz/extras-opendata-sncf-reseau'],['https://pbs.twimg.com/media/EJwmN0UXYAEZzAI.jpg'],0,5,21,"['#30daymapchallenge', '#qgis', '#sncf', '#trains']",[],https://twitter.com/ThomasG77/status/1196874063949574145,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}, {'user_id': '3537804193', 'username': 'NicolasW_GRAOU'}]",
1196873343888248833,1196873343888248833,1574191816000,2019-11-19,14:30:16,EST,3195365733,junevgt,Justine Vignat,,"Quoi de mieux que ma carte du #Mercator1 thème ""large"" pour illustrer le thème du jour du #30DayMapChallenge ? URBAN.
Et vous votre ville/village, c'est plutôt quelle configuration ? #STINARTO #lagéoçasedessine https://twitter.com/Junevgt/status/1182935804877914112 …",[],['https://twitter.com/Junevgt/status/1182935804877914112'],[],1,6,17,"['#mercator1', '#30daymapchallenge', '#stinarto', '#lagéoçasedessine']",[],https://twitter.com/Junevgt/status/1196873343888248833,False,https://twitter.com/Junevgt/status/1182935804877914112,0,,,,,,,"[{'user_id': '3195365733', 'username': 'Junevgt'}]",
1196872723676446720,1196872723676446720,1574191668000,2019-11-19,14:27:48,EST,3195365733,junevgt,Justine Vignat,,"Avec un jour de retard, je vous propose de vous replonger dans le merveilleux voyage proposé par Jules Vernes et de parcourir le monde en quelques minutes (ou 80 jours?)  #30DayMapChallenge ? GLOBE.  #lagéoçasedessine #STINARTO https://twitter.com/Junevgt/status/1044173900047937536 …",[],['https://twitter.com/Junevgt/status/1044173900047937536'],[],2,5,33,"['#30daymapchallenge', '#lagéoçasedessine', '#stinarto']",[],https://twitter.com/Junevgt/status/1196872723676446720,False,https://twitter.com/Junevgt/status/1044173900047937536,0,,,,,,,"[{'user_id': '3195365733', 'username': 'Junevgt'}]",
1196872527487946754,1196872527487946754,1574191622000,2019-11-19,14:27:02,EST,235989637,emmaawheatley,Emma Wheatley,,".@Aoifs_ni_f, I’ve just discovered the #30DayMapChallenge hashtag and it’s beautiful... 🗺",['aoifs_ni_f'],[],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/EmmaAWheatley/status/1196872527487946754,False,,0,,,,,,,"[{'user_id': '235989637', 'username': 'EmmaAWheatley'}, {'user_id': '60110295', 'username': 'Aoifs_ni_f'}]",
1196870429501218817,1196870429501218817,1574191121000,2019-11-19,14:18:41,EST,5685812,hrbrmstr,boB Rudis,,"Heckuva wk, but squeaked out tdy's ""Urban"" #30DayMapChallenge showing New England urban areas + how these urban areas (in general) contribute to 💡 pollution via NASA Earth Obs 'Black Marble' (need to shrink a cpl files before sync to git repos). #rstats {sf} {raster} {ggplot2} pic.twitter.com/DjLtnClbch",[],[],['https://pbs.twimg.com/media/EJwjTsIWwAAGHvb.jpg'],1,3,22,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/hrbrmstr/status/1196870429501218817,False,,0,,,,,,,"[{'user_id': '5685812', 'username': 'hrbrmstr'}]",
1196870225171537921,1196870225171537921,1574191073000,2019-11-19,14:17:53,EST,3092381638,cedscherer,Cédric Scherer,,"#30DayMapChallenge Day 19: #Urban 🏙️
Urban areas of the world as #map of  #CityLights deviated from MODIS data 🛰️ and provided by NaturalEarth 🌐
#ggplot #rstats #dataviz pic.twitter.com/YyPuFP1Hh7",[],[],['https://pbs.twimg.com/media/EJwjHt_WsAARlv_.jpg'],2,4,21,"['#30daymapchallenge', '#urban', '#map', '#citylights', '#ggplot', '#rstats', '#dataviz']",[],https://twitter.com/CedScherer/status/1196870225171537921,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}]",
1196867687688916993,1196867687688916993,1574190468000,2019-11-19,14:07:48,EST,1466897384,mattijkokkonen,Matti Kokkonen,,"Day 19 of the #30DayMapChallenge, urban. Parking fines imposed in Helsinki 2014-2017. I guess this is also one way of mapping the city. pic.twitter.com/EkujKH25lQ",[],[],['https://pbs.twimg.com/media/EJwgzqJXsAcphYb.jpg'],0,1,22,['#30daymapchallenge'],[],https://twitter.com/MattiJKokkonen/status/1196867687688916993,False,,0,,,,,,,"[{'user_id': '1466897384', 'username': 'MattiJKokkonen'}]",
1196865864047505410,1196865864047505410,1574190033000,2019-11-19,14:00:33,EST,84613584,pajaropolitico,AnimalPolitico.com,,"Un geógrafo finlandés lanzó un reto en Internet para crear mapas de prácticamente cualquier tema: el #30DayMapChallenge. En México abundan los tacos, los museos... y la violencia. https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …",[],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],1,6,17,['#30daymapchallenge'],[],https://twitter.com/Pajaropolitico/status/1196865864047505410,False,,0,,,,,,,"[{'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196865747366170625,1196865747366170625,1574190005000,2019-11-19,14:00:05,EST,257218656,descifra,DESCIFRA,,"Urban Zones: Mexico City, Estado de México, Hidalgo.
Day 19:Urban #30DayMapChallenge
#lovepredictinglocations #BigData pic.twitter.com/akRG5aiNNG",[],[],['https://pbs.twimg.com/media/EJwfDcTWsAAXNCE.png'],0,1,5,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata']",[],https://twitter.com/DESCIFRA/status/1196865747366170625,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1196865632903540737,1196865632903540737,1574189978000,2019-11-19,13:59:38,EST,418015548,rafaelprietoc,Rafael Prieto Curiel,,"My map of #Africa connecting all urban agglomerations in the continent for the #30DayMapChallenge at the @OECD @SWAC_OECD.
🗺️

Details here:  https://www.africapolis.org/research/urban_agglomeration_network … https://twitter.com/SWAC_OECD/status/1196852125235662849 …","['oecd', 'swac_oecd']","['https://www.africapolis.org/research/urban_agglomeration_network', 'https://twitter.com/SWAC_OECD/status/1196852125235662849']",[],0,0,8,"['#africa', '#30daymapchallenge']",[],https://twitter.com/rafaelprietoc/status/1196865632903540737,False,https://twitter.com/SWAC_OECD/status/1196852125235662849,0,,,,,,,"[{'user_id': '418015548', 'username': 'rafaelprietoc'}, {'user_id': '25390350', 'username': 'OECD'}, {'user_id': '2811204742', 'username': 'SWAC_OECD'}]",
1196859765802098688,1196859765802098688,1574188579000,2019-11-19,13:36:19,EST,27186708,jccpmx,Carlos Cortés,,"Área urbana que tiene cada Estado, ¡sorprenden los resultados!
#30DayMapChallenge Urban pic.twitter.com/uXEr1fWMIH",[],[],['https://pbs.twimg.com/media/EJwZnIwWwAE3Oi0.jpg'],0,5,14,['#30daymapchallenge'],[],https://twitter.com/jccpmx/status/1196859765802098688,False,,0,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1196858704555061251,1196858704555061251,1574188326000,2019-11-19,13:32:06,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 19. Urban

Functional Urban Areas in France

Made with #QGIS pic.twitter.com/kjUujgb1SC",[],[],['https://pbs.twimg.com/media/EJwYk9IXYAEkYW5.jpg'],0,2,14,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/lacxrx/status/1196858704555061251,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1196857274251141120,1196857274251141120,1574187985000,2019-11-19,13:26:25,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 20 of #30DayMapChallenge: rural

Rural schools in Biobío, #Chile (where I was born) with municipality average income decile. Escuelas rurales en Biobío, con decil promedio de ingresos por comuna.

Data from MINEDUC, INE and #chilemaps

Code:  https://gist.github.com/zentree/6f9e08fb45d3650c99ed3adb401bd494 … pic.twitter.com/BBzxvUly5Q",[],['https://gist.github.com/zentree/6f9e08fb45d3650c99ed3adb401bd494'],['https://pbs.twimg.com/media/EJwXVdgU8AAPflP.jpg'],1,0,2,"['#30daymapchallenge', '#chile', '#chilemaps']",[],https://twitter.com/zentree/status/1196857274251141120,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}]",
1196855945390895105,1196855945390895105,1574187668000,2019-11-19,13:21:08,EST,17970626,lucas_berlin,Lucas Verweij,,"#30DayMapChallenge
The big Lie in this Map is not even the Distance to Berlin but the direction: Berlin is  EAST from Holland,, Not NORTH pic.twitter.com/o69qfWtjqA",[],[],['https://pbs.twimg.com/media/EJwV_TvX0AAn4iE.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/Lucas_Berlin/status/1196855945390895105,False,,0,,,,,,,"[{'user_id': '17970626', 'username': 'Lucas_Berlin'}]",
1196854005592461312,1196854005592461312,1574187206000,2019-11-19,13:13:26,EST,368711188,tweepsmap,Tweepsmap,,"Day 19 of #30DayMapChallenge: Urban

Our followers map by city

 https://tweepsmap.com/!tweepsmap/#internal&groupby=2 … pic.twitter.com/C6BVzohFnE",[],['https://tweepsmap.com/!tweepsmap/#internal&groupby=2'],['https://pbs.twimg.com/media/EJwUX_tWsAAELK9.jpg'],1,1,4,['#30daymapchallenge'],[],https://twitter.com/tweepsmap/status/1196854005592461312,False,,0,,,,,,,"[{'user_id': '368711188', 'username': 'tweepsmap'}]",
1196852125235662849,1196852125235662849,1574186757000,2019-11-19,13:05:57,EST,2811204742,swac_oecd,SWAC OECD,,#30DayMapChallenge Day 19: This map connects each pair of the over 7600 #African #urban agglomerations located at a distance of 637 kilometres or less (minimum distance at which all urban agglomerations on the continent are connected to one single network)  http://africapolis.org  pic.twitter.com/xJ9kftI8Ix,[],['http://africapolis.org'],['https://pbs.twimg.com/media/EJwSqDcWwAAQ8y2.jpg'],0,6,17,"['#30daymapchallenge', '#african', '#urban']",[],https://twitter.com/SWAC_OECD/status/1196852125235662849,False,,0,,,,,,,"[{'user_id': '2811204742', 'username': 'SWAC_OECD'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '815015130', 'username': 'GIS_Expo'}, {'user_id': '937633823835246592', 'username': 'inhoi_heo'}, {'user_id': '936335281011257345', 'username': 'PHeinrigs'}, {'user_id': '418015548', 'username': 'rafaelprietoc'}, {'user_id': '827216917836472324', 'username': 'OSMNigeria'}, {'user_id': '738043999051714561', 'username': 'osmafrica'}, {'user_id': '3981933203', 'username': 'bettermeasured'}, {'user_id': '16149429', 'username': 'becky_dale'}]",
1196850964914982914,1196850964914982914,1574186481000,2019-11-19,13:01:21,EST,1137139989744144390,my_physical,MyPhysicalWorld,,"#30DayMapChallenge Day 19: Urban
Ya don't get much more urban than this! Chongqing, China (World's Largest City). Also home of the world's largest road intersection (area and ht)
#gis #geography #geographyteacher #cartography #maps #map #urbanenvironment #China #landsat #landsat8 pic.twitter.com/9prEKM9GPE",[],[],['https://pbs.twimg.com/media/EJwRks1WoAUdGU7.jpg'],0,1,5,"['#30daymapchallenge', '#gis', '#geography', '#geographyteacher', '#cartography', '#maps', '#map', '#urbanenvironment', '#china', '#landsat', '#landsat8']",[],https://twitter.com/my_physical/status/1196850964914982914,False,,0,,,,,,,"[{'user_id': '1137139989744144390', 'username': 'my_physical'}]",
1196850132546998272,1196850132546998272,1574186282000,2019-11-19,12:58:02,EST,2187485455,cesiumjs,Cesium,,"#30DayMapChallenge 19 - Urban

This interactive city model visualizes home energy efficiency in #Nottingham, created by LUCAS at @UniofNottingham
 https://cesium.com/blog/2019/06/28/nottingham-energy/ … #PoweredbyCesium pic.twitter.com/dHTGaQJSeL",['uniofnottingham'],['https://cesium.com/blog/2019/06/28/nottingham-energy/'],['https://pbs.twimg.com/media/EJwQ2lIX0AM7CGD.jpg'],0,1,7,"['#30daymapchallenge', '#nottingham', '#poweredbycesium']",[],https://twitter.com/CesiumJS/status/1196850132546998272,False,,0,,,,,,,"[{'user_id': '2187485455', 'username': 'CesiumJS'}, {'user_id': '30196565', 'username': 'UniofNottingham'}]",
1196848682877865985,1196848682877865985,1574185937000,2019-11-19,12:52:17,EST,1144303064871948288,indiaviz,indiaviz,,"#30DayMapChallenge urban, here is one of the oldest urban areas of the world - street map of Jerusalem

#map #maps #jerusalem #cartography #mapping #blueprint pic.twitter.com/LtNeIq7A3S",[],[],['https://pbs.twimg.com/media/EJwPhxFUcAIkxH-.jpg'],1,1,8,"['#30daymapchallenge', '#map', '#maps', '#jerusalem', '#cartography', '#mapping', '#blueprint']",[],https://twitter.com/indiaviz/status/1196848682877865985,False,,0,,,,,,,"[{'user_id': '1144303064871948288', 'username': 'indiaviz'}]",
1196848096229109761,1196848096229109761,1574185797000,2019-11-19,12:49:57,EST,457611831,pacodelreyo,Paco del Reyo,"León, Guanajuato","#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ … vía @pajaropolitico",['pajaropolitico'],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,0,2,['#30daymapchallenge'],[],https://twitter.com/pacodelreyo/status/1196848096229109761,False,,0,,,,,,,"[{'user_id': '457611831', 'username': 'pacodelreyo'}, {'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196846344008327174,1196846344008327174,1574185379000,2019-11-19,12:42:59,EST,257218656,descifra,DESCIFRA,,"@DESCIFRA en LATAM
Day 18:Globe #30DayMapChallenge
#lovepredictinglocations #BigData #InteligenciaGeoespacial",['descifra'],[],[],0,0,0,"['#30daymapchallenge', '#lovepredictinglocations', '#bigdata', '#inteligenciageoespacial']",[],https://twitter.com/DESCIFRA/status/1196846344008327174,False,,0,,,,,,,"[{'user_id': '257218656', 'username': 'DESCIFRA'}]",
1196840926481670144,1196840926481670144,1574184087000,2019-11-19,12:21:27,EST,1189776035295961089,jlolarteq,jlOlarteQ,,#30DayMapChallenge Day 4. Welfare levels in Mexico City —experimental model by mean of hexagonal cells. pic.twitter.com/m5snexUZN7,[],[],['https://pbs.twimg.com/media/EJwIeYhWwAA2w8A.jpg'],0,2,3,['#30daymapchallenge'],[],https://twitter.com/jlOlarteQ/status/1196840926481670144,False,,0,,,,,,,"[{'user_id': '1189776035295961089', 'username': 'jlOlarteQ'}, {'user_id': '1922214181', 'username': 'Jimena_Who'}]",
1196840698957447168,1196840698957447168,1574184033000,2019-11-19,12:20:33,EST,827579161472561156,teaminteractca,INTERACT,,"Progression du pourcentage de gens qui se rendent au travail à vélo à #montréal de 2001 à 2016 #velomtl
Merci à @kahosford pour les cartes comparant l'utilisation du vélo dans les 4 villes INTERACT pour le #30DayMapChallenge @BIXImontreal @VeloQuebec pic.twitter.com/e91UiYAURN","['kahosford', 'biximontreal', 'veloquebec']",[],[],0,20,31,"['#montréal', '#velomtl', '#30daymapchallenge']",[],https://twitter.com/TeamInteractCA/status/1196840698957447168,False,,1,,,,,,,"[{'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '873363256030580736', 'username': 'kahosford'}, {'user_id': '20085288', 'username': 'BIXImontreal'}, {'user_id': '92561225', 'username': 'VeloQuebec'}]",
1196839436748759040,1196839436748759040,1574183732000,2019-11-19,12:15:32,EST,147125258,ojespejo,Oscar Javier Espejo,,"#30DayMapChallenge 3x1

Day 4 #Yellow
Day 9 #Hexagons 🛑
and Day 15 #names 🇻🇦

Number of cities or towns with ""Holy names"" in #Colombia 🇨🇴 pic.twitter.com/F556bR80iZ",[],[],['https://pbs.twimg.com/media/EJwHFxaWsAEUa11.jpg'],1,1,7,"['#30daymapchallenge', '#yellow', '#hexagons', '#names', '#colombia']",[],https://twitter.com/ojespejo/status/1196839436748759040,False,,0,,,,,,,"[{'user_id': '147125258', 'username': 'ojespejo'}]",
1196839326874787840,1196839326874787840,1574183706000,2019-11-19,12:15:06,EST,827579161472561156,teaminteractca,INTERACT,,Looks like @usask campus area is the reigning champion of cycling mode share in #Saskatoon. @kahosford mapped % of commuters cycling to work for #30DayMapChallenge #day19urban pic.twitter.com/LKGQ3Mcf57,"['usask', 'kahosford']",[],[],0,7,12,"['#saskatoon', '#30daymapchallenge', '#day19urban']",[],https://twitter.com/TeamInteractCA/status/1196839326874787840,False,,1,,,,,,,"[{'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '24954656', 'username': 'usask'}, {'user_id': '873363256030580736', 'username': 'kahosford'}]",
1196837971846213632,1196837971846213632,1574183383000,2019-11-19,12:09:43,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge
Day 18: Urban - San Francisco Building Heights
Spent more time learning @QGIS w. this one (Figuring out the Print Composer, updating map views (this was maddening at first), legends, and multiple map frames in one layout but settled on a simpler design. pic.twitter.com/al4Pt2dydB",['qgis'],[],['https://pbs.twimg.com/media/EJwFyPhXkAID4im.jpg'],2,3,50,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1196837971846213632,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '271327412', 'username': 'qgis'}]",
1196837428360863744,1196837428360863744,1574183253000,2019-11-19,12:07:33,EST,827579161472561156,teaminteractca,INTERACT,,For #day19 urban theme @kahosford used 2001-2016 census data to map cycling mode share in 4 #urban areas in Canada. Here is Vancouver's progress over the past 15 years  #yvrbikes #30DayMapChallenge pic.twitter.com/o4XCeeEQEG,['kahosford'],[],[],0,10,16,"['#day19', '#urban', '#yvrbikes', '#30daymapchallenge']",[],https://twitter.com/TeamInteractCA/status/1196837428360863744,False,,1,,,,,,,"[{'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '873363256030580736', 'username': 'kahosford'}]",
1196836069230153728,1191005941547896838,1574182929000,2019-11-19,12:02:09,EST,731808469301493760,bzgeo,🇧🇿 Belize GEO 🛰️,,"#30DayMapChallenge: In recognition of today's commemoration in #Belize of #Garifuna Settlement Day (Nov. 19), here are maps of the most common surnames in Belize's Districts + towns; e.g. Martinez, Castillo, and Flores are common in both Stann Creek and Dangriga. #GarifunaTwitter pic.twitter.com/KLTaXl2Kh9","['nicole_d_rams', 'alinaiscott', 'ia_nich', 'nichbelize', 'mfabelize', 'mayaresearchpro', 'nasa_landsat', 'usgslandsat', 'earthoutreach', 'belizevacation', 'copernicuseu', 'googleearth', 'uberibz', 'dcaye93', 'auilgomez', 'wcsbelize', 'uecentroamerica', 'apamo_belize', 'agamericas', 'nasaharvest', 'g20_geoglam', 'akwhitcraft', 'ninafikiri', 'leeellenburg', 'jaxa_en', 'nrinstitute', 'pactbelize']",[],"['https://pbs.twimg.com/media/EJwEC00WoAAMJKo.png', 'https://pbs.twimg.com/media/EJwEC0xW4AEgjOQ.png']",1,1,2,"['#30daymapchallenge', '#belize', '#garifuna', '#garifunatwitter']",[],https://twitter.com/BZgeo/status/1196836069230153728,False,,0,,,,,,,"[{'user_id': '731808469301493760', 'username': 'BZgeo'}, {'user_id': '21357903', 'username': 'Nicole_D_Rams'}, {'user_id': '4214892552', 'username': 'alinaiscott'}, {'user_id': '74854767', 'username': 'IA_NICH'}, {'user_id': '745999352066367488', 'username': 'NICHBelize'}, {'user_id': '727952904162709504', 'username': 'MFABelize'}, {'user_id': '431943910', 'username': 'MayaResearchPro'}, {'user_id': '219070649', 'username': 'NASA_Landsat'}, {'user_id': '75662577', 'username': 'USGSLandsat'}, {'user_id': '41865658', 'username': 'EarthOutreach'}, {'user_id': '57080571', 'username': 'belizevacation'}, {'user_id': '978604706', 'username': 'CopernicusEU'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '2786390692', 'username': 'UBERIBZ'}, {'user_id': '203807355', 'username': 'DCaye93'}, {'user_id': '3108888190', 'username': 'AuilGomez'}, {'user_id': '958768303056543744', 'username': 'WCSBelize'}, {'user_id': '1164663562154983425', 'username': 'UECentroamerica'}, {'user_id': '933062439163359234', 'username': 'APAMO_Belize'}, {'user_id': '1029034895354421248', 'username': 'AgAmericas'}, {'user_id': '1029391355645030401', 'username': 'NASAHarvest'}, {'user_id': '1694082068', 'username': 'G20_GEOGLAM'}, {'user_id': '1135713965051240448', 'username': 'AKWhitcraft'}, {'user_id': '1123819437872885762', 'username': 'ninafikiri'}, {'user_id': '2906757021', 'username': 'LeeEllenburg'}, {'user_id': '104989762', 'username': 'JAXA_en'}, {'user_id': '472768649', 'username': 'NRInstitute'}, {'user_id': '904189549', 'username': 'pactbelize'}]",
1196835867710623750,1196835867710623750,1574182881000,2019-11-19,12:01:21,EST,827579161472561156,teaminteractca,INTERACT,,"Day 19 of #30DayMapChallenge; theme #Urban
@kahosford mapped cycling mode share in the 4 INTERACT cities from 2001-2016. First up, Victoria! #yyjbikes pic.twitter.com/ffyjAO1wTa",['kahosford'],[],[],1,7,12,"['#30daymapchallenge', '#urban', '#yyjbikes']",[],https://twitter.com/TeamInteractCA/status/1196835867710623750,False,,1,,,,,,,"[{'user_id': '827579161472561156', 'username': 'TeamInteractCA'}, {'user_id': '873363256030580736', 'username': 'kahosford'}]",
1196832559113523200,1196832559113523200,1574182092000,2019-11-19,11:48:12,EST,873363256030580736,kahosford,Kate Hosford,,"Parking meter rates in Vancouver, BC.

Average daytime rate: $2.50/hr (range: $0.5-$9/hr)
Average evening rate: $2.00/hr (range: $0.5-$7/hr)

With the exception of a few meters, weekday and weekend rates are the same.

#Urban #30DayMapChallenge pic.twitter.com/ApKH4mOi4X",[],[],[],3,2,23,"['#urban', '#30daymapchallenge']",[],https://twitter.com/kahosford/status/1196832559113523200,False,,1,,,,,,,"[{'user_id': '873363256030580736', 'username': 'kahosford'}]",
1196831645095079938,1196831645095079938,1574181874000,2019-11-19,11:44:34,EST,1053264370573172736,livia_jakob,Livia Jakob,,"Map of recycling points in Edinburgh. The colours represent the number of residents per recycling point.
#30DayMapChallenge Day 19, urban
.
.
#mapping #Edinburgh #GIS #Map pic.twitter.com/VOPuixxqtN",[],[],['https://pbs.twimg.com/media/EJwABljW4AAARiL.jpg'],1,1,13,"['#30daymapchallenge', '#mapping', '#edinburgh', '#gis', '#map']",[],https://twitter.com/livia_jakob/status/1196831645095079938,False,,0,,,,,,,"[{'user_id': '1053264370573172736', 'username': 'livia_jakob'}]",
1196831256190820359,1196831256190820359,1574181782000,2019-11-19,11:43:02,EST,102093197,danc00ks0n,Dan Cookson,,"UK Workday Population by 1km grid  https://dancooksonresearch.carto.com/u/dancookson/viz/d14a3e39-53e9-41c1-ae5f-768cfdfcc460/embed_map …
#30DayMapChallenge Day 19: #Urban",[],['https://dancooksonresearch.carto.com/u/dancookson/viz/d14a3e39-53e9-41c1-ae5f-768cfdfcc460/embed_map'],[],1,1,1,"['#30daymapchallenge', '#urban']",[],https://twitter.com/danc00ks0n/status/1196831256190820359,False,,0,,,,,,,"[{'user_id': '102093197', 'username': 'danc00ks0n'}]",
1196830629951881217,1196830629951881217,1574181632000,2019-11-19,11:40:32,EST,261631571,hendrikxleo,Leo,,"Day 19: Urban #30DayMapChallenge Year of construction of buildings in Amsterdam. I combined openstreetmap buildings with BAG addresses in Amsterdam.
Data: BAG, BGT, OSM pic.twitter.com/cWbXCAexVF",[],[],"['https://pbs.twimg.com/media/EJv_F3gWkAM2kJj.jpg', 'https://pbs.twimg.com/media/EJv_F3kXsAAJ6xr.jpg', 'https://pbs.twimg.com/media/EJv_F3fW4AAg07J.jpg']",0,2,7,['#30daymapchallenge'],[],https://twitter.com/hendrikxleo/status/1196830629951881217,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1196828552756379648,1194825808524849152,1574181137000,2019-11-19,11:32:17,EST,14344140,darenw,Daren Willman,,"Day eight of the #30DayMapChallenge (green)... Breaking down the #MLB draft by the state every player was born since 2000. You'll notice one consistent factor.

* Note: some older players don't have birth places in our DB pic.twitter.com/2I49qXmwab",['fenwaypark'],[],[],3,3,17,"['#30daymapchallenge', '#mlb']",[],https://twitter.com/darenw/status/1196828552756379648,False,,1,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}, {'user_id': '3840475692', 'username': 'fenwaypark'}]",
1196827369903972354,1196827369903972354,1574180855000,2019-11-19,11:27:35,EST,223959960,_penguin_runner,Kirsten Reilly,,#30DayMapChallenge Day 19: Urban - Area of dense human habitation (also known as Urban Areas) from #naturalearth #opensource #QGIS #gischat #geography #cartography pic.twitter.com/qF2HeEvMwZ,[],[],['https://pbs.twimg.com/media/EJv8JU1XsAEcWON.jpg'],0,1,10,"['#30daymapchallenge', '#naturalearth', '#opensource', '#qgis', '#gischat', '#geography', '#cartography']",[],https://twitter.com/_penguin_runner/status/1196827369903972354,False,,0,,,,,,,"[{'user_id': '223959960', 'username': '_penguin_runner'}]",
1196825921803706369,1196825921803706369,1574180510000,2019-11-19,11:21:50,EST,1062764587186040833,whatdoeskmean,WhatDoesKmean?,,"Shape Map ""Espacios Verdes Publicos"" de @BAGobAbierto y #GeoPoints del #MapaDelDelito año 2018.

#30DayMapChallenge #datosdemiercoles #HistoriasConDatos #R pic.twitter.com/RDUh9UB3Vx",['bagobabierto'],[],['https://pbs.twimg.com/media/EJv61OaWsAIHTKC.png'],0,1,5,"['#geopoints', '#mapadeldelito', '#30daymapchallenge', '#datosdemiercoles', '#historiascondatos', '#r']",[],https://twitter.com/WhatDoesKmean/status/1196825921803706369,False,,0,,,,,,,"[{'user_id': '1062764587186040833', 'username': 'WhatDoesKmean'}, {'user_id': '991724656821456896', 'username': 'BAGobAbierto'}]",
1196824286872428551,1196824286872428551,1574180120000,2019-11-19,11:15:20,EST,1134609998980370432,visualizemap,visualizemap,,Utilisation des transports en commun pour aller au travail : une cartographie à l’échelle nationale avec les données @InseeFr pour analyser le comportement des français. #30DayMapChallenge #BuiltWithMapbox  http://bit.ly/37k4YiS  pic.twitter.com/tyND1m6Y26,['inseefr'],['http://bit.ly/37k4YiS'],"['https://pbs.twimg.com/media/EJv5PStXsAIldhK.jpg', 'https://pbs.twimg.com/media/EJv5PSvWoAIn5Md.jpg']",2,32,63,"['#30daymapchallenge', '#builtwithmapbox']",[],https://twitter.com/visualizemap/status/1196824286872428551,False,,0,,,,,,,"[{'user_id': '1134609998980370432', 'username': 'visualizemap'}, {'user_id': '217473382', 'username': 'InseeFr'}]",
1196823169837027328,1196823169837027328,1574179854000,2019-11-19,11:10:54,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge

Day 19: Urban
How diverse is the use of urban land in Santiago? / Qué tan diverso es el uso del suelo urbano en Santiago?

Map of Theil entropy index using data of @SII_Chile and @idecedeus / Mapa del índice de entropía de Theil pic.twitter.com/abDlv4P9mw","['sii_chile', 'idecedeus']",[],['https://pbs.twimg.com/media/EJv4UTvXYAIbcDt.png'],4,25,64,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1196823169837027328,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '98878309', 'username': 'SII_Chile'}, {'user_id': '4158602093', 'username': 'idecedeus'}]",
1196822926361866242,1196822926361866242,1574179796000,2019-11-19,11:09:56,EST,3995615909,lnpp_mx,LNPP,,"#FelizMartes @JuvenalCamposF, colaborador del @LNPP_MX, participa en el #30DayMapChallenge y su trabajo fue mencionado por @Pajaropolitico
¡Felicidades @JuvenalCamposF!
19 y contando 💻🗺️💪 https://twitter.com/Pajaropolitico/status/1196673212945448960 …","['juvenalcamposf', 'lnpp_mx', 'pajaropolitico']",['https://twitter.com/Pajaropolitico/status/1196673212945448960'],[],0,2,9,"['#felizmartes', '#30daymapchallenge']",[],https://twitter.com/LNPP_MX/status/1196822926361866242,False,https://twitter.com/Pajaropolitico/status/1196673212945448960,0,,,,,,,"[{'user_id': '3995615909', 'username': 'LNPP_MX'}, {'user_id': '260088313', 'username': 'JuvenalCamposF'}, {'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196819101286641666,1196819101286641666,1574178884000,2019-11-19,10:54:44,EST,1415401712,localfocusnl,LocalFocus,,"#30DayMapChallenge 19. Urban

We remixed today's theme 'urban' a little bit and made a special rap map! How many active urban-acts (read: rappers) are representing different cities in The Netherlands?

Interactive version 👉🏻 https://localfocus2.appspot.com/5dd40cf071a25  pic.twitter.com/niA7Ve6xDY",[],['https://localfocus2.appspot.com/5dd40cf071a25'],['https://pbs.twimg.com/media/EJv0QG4XYAENJ_N.jpg'],0,5,9,['#30daymapchallenge'],[],https://twitter.com/LocalFocusNL/status/1196819101286641666,False,,0,,,,,,,"[{'user_id': '1415401712', 'username': 'LocalFocusNL'}]",
1196814644482072582,1196814644482072582,1574177821000,2019-11-19,10:37:01,EST,260088313,juvenalcamposf,Juvenal,"Miguel Hidalgo, Distrito Federal","#30DayMapChallenge
Día 19. Urban

Punto de la ruta Tacubaya-El Yaqui #Cdmx donde se sube al transporte el chavo que no viene a robar ni a quitarnos pertenencias pero que quiere que lo apoyemos con una moneda porque acaba de salir del reclusorio...

(Ya luego hago el bueno 😅) pic.twitter.com/08wNOTY1PI",[],[],['https://pbs.twimg.com/media/EJvwkn7WsAEt4Ga.jpg'],1,1,16,"['#30daymapchallenge', '#cdmx']",[],https://twitter.com/JuvenalCamposF/status/1196814644482072582,False,,0,,,,,,,"[{'user_id': '260088313', 'username': 'JuvenalCamposF'}]",
1196813223980388353,1195414877562646528,1574177482000,2019-11-19,10:31:22,EST,895591511768813569,statnmap,Sébastien Rochette,,"#30DayMapChallenge with #rspatial
19/30. Urban. Where are big urban areas?
All French cities and major cities around the World with {ggplot2} 🏙️
#rstats pic.twitter.com/1jaUbKKFn5","['jdatap', 'jmcastagnetto']",[],['https://pbs.twimg.com/media/EJvvRzEX0AAHFe2.jpg'],1,3,5,"['#30daymapchallenge', '#rspatial', '#rstats']",[],https://twitter.com/StatnMap/status/1196813223980388353,False,,0,,,,,,,"[{'user_id': '895591511768813569', 'username': 'StatnMap'}, {'user_id': '1571967648', 'username': 'jdatap'}, {'user_id': '118526360', 'username': 'jmcastagnetto'}]",
1196813184356798464,1196757748165287940,1574177473000,2019-11-19,10:31:13,EST,2367649759,gaelle_sutton,Gaëlle,,"Avec ces mêmes données, le #30DayMapChallenge
Day 19 - Urban
Date of construction of buildings in #Paris pic.twitter.com/YFFhOCYV1R",['qgis'],[],[],1,2,13,"['#30daymapchallenge', '#paris']",[],https://twitter.com/Gaelle_Sutton/status/1196813184356798464,False,,1,,,,,,,"[{'user_id': '2367649759', 'username': 'Gaelle_Sutton'}, {'user_id': '271327412', 'username': 'qgis'}]",
1196813087589969923,1196813087589969923,1574177450000,2019-11-19,10:30:50,EST,2198358416,tjukanov,Topi Tjukanov,,"#30DayMapChallenge Day 19: #Urban areas in Africa. Bigger the symbol, bigger the population.

Data from Africapolis (@SWAC_OECD):  https://www.africapolis.org/data  pic.twitter.com/zJOa678Nmt",['swac_oecd'],['https://www.africapolis.org/data'],['https://pbs.twimg.com/media/EJvvJ3gWwAEBr_C.jpg'],1,13,68,"['#30daymapchallenge', '#urban']",[],https://twitter.com/tjukanov/status/1196813087589969923,False,,0,,,,,,,"[{'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2811204742', 'username': 'SWAC_OECD'}]",
1196810983248928768,1196810983248928768,1574176948000,2019-11-19,10:22:28,EST,34737662,positium,Positium,,"Day 19 of #30DayMapChallenge (urban): daytime and nighttime home and work locations in the Põhja-Tallinn district in Tallinn, Estonia
#urban #maps #datascience #dataviz pic.twitter.com/LYG46MZJ20",[],[],['https://pbs.twimg.com/media/EJvtOrmWoAAP8iL.jpg'],0,0,11,"['#30daymapchallenge', '#urban', '#maps', '#datascience', '#dataviz']",[],https://twitter.com/positium/status/1196810983248928768,False,,0,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1196807326491168769,1196807326491168769,1574176076000,2019-11-19,10:07:56,EST,982429849,pedro_com_es,Pedro Suárez,,"Día 19 #urban en el #30DayMapChallenge, número de días que la concentración de #ozono excede los 120 µg/m³, de la estadística 'urban audit' de la UE.

Mapa del mundo y datos de @EU_Eurostat pic.twitter.com/cR7QH9vkvZ",['eu_eurostat'],[],['https://pbs.twimg.com/media/EJvp6iMWwAEHyCu.jpg'],0,0,1,"['#urban', '#30daymapchallenge', '#ozono']",[],https://twitter.com/pedro_com_es/status/1196807326491168769,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1196805436315459584,1196805436315459584,1574175626000,2019-11-19,10:00:26,EST,414943174,benfriin,Ben,,"Day 19 of #30DayMapChallenge - Urbain Rennes

buses ""C"" and subways in Rennes 2020

#urbain #mobilite #metrobus #rennes
@metropolerennes
@keolisrennes pic.twitter.com/2u0vd5Xg6h","['metropolerennes', 'keolisrennes']",[],['https://pbs.twimg.com/media/EJvoLufWkAE7FuJ.jpg'],0,1,6,"['#30daymapchallenge', '#urbain', '#mobilite', '#metrobus', '#rennes']",[],https://twitter.com/benfriin/status/1196805436315459584,False,,0,,,,,,,"[{'user_id': '414943174', 'username': 'benfriin'}, {'user_id': '15168040', 'username': 'metropolerennes'}, {'user_id': '85786088', 'username': 'keolisrennes'}]",
1196800566351015936,1196800566351015936,1574174465000,2019-11-19,09:41:05,EST,992414114235473920,alidrisicarto,Alidrisi Cartografía,,"Cerca del 50% de los #homicidios dolosos se concentran en 35 de las 2,399 #colonias de la #CDMX #30DayMapChallenge pic.twitter.com/A46xVg6R3C",[],[],['https://pbs.twimg.com/media/EJvjw5uWsAASpHT.jpg'],0,0,5,"['#homicidios', '#colonias', '#cdmx', '#30daymapchallenge']",[],https://twitter.com/alidrisicarto/status/1196800566351015936,False,,0,,,,,,,"[{'user_id': '992414114235473920', 'username': 'alidrisicarto'}]",
1196797779290361856,1192661026124120064,1574173800000,2019-11-19,09:30:00,EST,748038863206088704,yavannie24,Shannon Gonzales,,"#30DayMapChallenge
19. Urban - “Chalk” map of NYC (cheating again using existing map) pic.twitter.com/i3fAv424xT",[],[],['https://pbs.twimg.com/media/EJvhO-nUEAAWvEz.jpg'],2,0,6,['#30daymapchallenge'],[],https://twitter.com/yavannie24/status/1196797779290361856,False,,0,,,,,,,"[{'user_id': '748038863206088704', 'username': 'yavannie24'}]",
1196797210974928897,1196797210974928897,1574173665000,2019-11-19,09:27:45,EST,47698876,evelynuuemaa,Evelyn,,#30DayMapChallenge 19. Urban: buildings in 5 Estonian biggest cities by population. pic.twitter.com/n8XRtv733I,[],[],['https://pbs.twimg.com/media/EJvgtUGXkAARMmQ.jpg'],1,3,12,['#30daymapchallenge'],[],https://twitter.com/evelynuuemaa/status/1196797210974928897,False,,0,,,,,,,"[{'user_id': '47698876', 'username': 'evelynuuemaa'}]",
1196794086272966656,1196794086272966656,1574172920000,2019-11-19,09:15:20,EST,2968011622,rouzauddenis,Denis rouzaud,,Breweries in Switzerland. Thanks for the idea @lacxrx. @OPENGISch will meet you at @GeoBeerCH in Yverdon. #30DayMapChallenge #MadeWithQGIS pic.twitter.com/cdZQolmJU7,"['lacxrx', 'opengisch', 'geobeerch']",[],"['https://pbs.twimg.com/media/EJvd3VcXsAEdiJi.jpg', 'https://pbs.twimg.com/media/EJvd3VeWoAAEbpj.jpg']",0,1,10,"['#30daymapchallenge', '#madewithqgis']",[],https://twitter.com/RouzaudDenis/status/1196794086272966656,False,,0,,,,,,,"[{'user_id': '2968011622', 'username': 'RouzaudDenis'}, {'user_id': '892006500', 'username': 'lacxrx'}, {'user_id': '2890949572', 'username': 'OPENGISch'}, {'user_id': '1193170442', 'username': 'GeoBeerCH'}]",
1196788229913096194,1196788229913096194,1574171523000,2019-11-19,08:52:03,EST,2574612668,hireuter,hannes reuter,,"#30DayMapChallenge DAY 19. Metropolitan typology based on NUTS, 2016 -info: https://europa.eu/!hx39Cn  -vis: https://europa.eu/!kj63Ft  - joined contributions by @EU_Eurostat E4 #GISCO #REGIO Teams - 11days2go pic.twitter.com/cw72uNaHPq",['eu_eurostat'],"['https://europa.eu/!hx39Cn', 'https://europa.eu/!kj63Ft']",['https://pbs.twimg.com/media/EJvYhgKWsAAcQ51.png'],0,1,5,"['#30daymapchallenge', '#gisco', '#regio']",[],https://twitter.com/hireuter/status/1196788229913096194,False,,0,,,,,,,"[{'user_id': '2574612668', 'username': 'hireuter'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}]",
1196780161363890176,1196780161363890176,1574169600000,2019-11-19,08:20:00,EST,276280627,pnelson917,Patrick Nelson,,Day 19 of the #30DayMapChallenge :  Urban…Probability of urban expansion by 2030 from #NASAsedac data.  Network planning for a little past tomorrow.  #IMNOS pic.twitter.com/o5XQ42VXno,[],[],['https://pbs.twimg.com/media/EJEf5i-UUAAUEil.jpg'],0,0,6,"['#30daymapchallenge', '#nasasedac', '#imnos']",[],https://twitter.com/pnelson917/status/1196780161363890176,False,,0,,,,,,,"[{'user_id': '276280627', 'username': 'pnelson917'}]",
1196776153572352001,1196776153572352001,1574168644000,2019-11-19,08:04:04,EST,982429849,pedro_com_es,Pedro Suárez,,"Se me fue el tiempo con temas secundarios y el mapa se quedó a medias, pero ya prefiero ir pasando al siguiente.

Para el globo del día 18 del #30DayMapChallenge. Especies de mamíferos en peligro.

Mapa del mundo de @EU_Eurostat y datos del @BancoMundial. pic.twitter.com/jQiys7v9vQ","['eu_eurostat', 'bancomundial']",[],['https://pbs.twimg.com/media/EJvNkCWWsAAHcWI.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/pedro_com_es/status/1196776153572352001,False,,0,,,,,,,"[{'user_id': '982429849', 'username': 'pedro_com_es'}, {'user_id': '300868924', 'username': 'EU_Eurostat'}, {'user_id': '1344359197', 'username': 'BancoMundial'}]",
1196769474038444033,1196769474038444033,1574167052000,2019-11-19,07:37:32,EST,301593228,andrewrenninger,Andrew Renninger,,"#30DayMapChallenge 19 |  Urban

Travel speeds in Greater London (movement data from @UberOpenSource, with some #rstats and #rspatial to clean it up) pic.twitter.com/p9PgwtEnXk",['uberopensource'],[],['https://pbs.twimg.com/media/EJvHdhTWwAAogeT.jpg'],0,6,9,"['#30daymapchallenge', '#rstats', '#rspatial']",[],https://twitter.com/AndrewRenninger/status/1196769474038444033,False,,0,,,,,,,"[{'user_id': '301593228', 'username': 'AndrewRenninger'}, {'user_id': '937761753357676544', 'username': 'UberOpenSource'}]",
1196767085046710272,1196767085046710272,1574166482000,2019-11-19,07:28:02,EST,919806358328958976,gis3700,Vicky Verscheijden,,"#30DayMapChallenge day 19: urban  https://geotic.maps.arcgis.com/apps/StorytellingSwipe/index.html?appid=b8d638613cb34ab29ae1796ddd5f36c2 …
Centre of Tongeren 1849 compared with the buildings of today. pic.twitter.com/ZHKMfuv5hg",[],['https://geotic.maps.arcgis.com/apps/StorytellingSwipe/index.html?appid=b8d638613cb34ab29ae1796ddd5f36c2'],['https://pbs.twimg.com/media/EJvFUCcWsAEGILG.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/gis3700/status/1196767085046710272,False,,0,,,,,,,"[{'user_id': '919806358328958976', 'username': 'gis3700'}]",
1196763302392684544,1196763302392684544,1574165580000,2019-11-19,07:13:00,EST,269294137,michelstuyts,Michel Stuyts 🌍,"Kontich, België",#30DayMapChallenge day 19: some #urban maps of crossroads in @GemeenteKontich // #MadeWithQGIS // data from @openstreetmap pic.twitter.com/qxNX0MQyn6,"['gemeentekontich', 'openstreetmap']",[],['https://pbs.twimg.com/media/EJvB37bXUAAEr9B.jpg'],0,0,2,"['#30daymapchallenge', '#urban', '#madewithqgis']",[],https://twitter.com/michelstuyts/status/1196763302392684544,False,,0,,,,,,,"[{'user_id': '269294137', 'username': 'michelstuyts'}, {'user_id': '2280636319', 'username': 'GemeenteKontich'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1196763136470245376,1196763136470245376,1574165541000,2019-11-19,07:12:21,EST,1454843694,onestopmap,One Stop Map,,"The #30daymapchallenge goes urban today, and I just happened to have an early 2019 building dataset for an entire city on my hard drive. Here’s Utrecht, colour-coded by year-of-construction. #map #cartography #lovemaps pic.twitter.com/U5uRIumwXV",[],[],['https://pbs.twimg.com/media/EJvBp8rXsAI_D_g.jpg'],0,2,6,"['#30daymapchallenge', '#map', '#cartography', '#lovemaps']",[],https://twitter.com/onestopmap/status/1196763136470245376,False,,0,,,,,,,"[{'user_id': '1454843694', 'username': 'onestopmap'}]",
1196762905997381632,1196762905997381632,1574165486000,2019-11-19,07:11:26,EST,138083232,swiss_geoportal,geo.admin.ch,,[EN]  Zurich in 3D  incl @ETH_en  https://s.geo.admin.ch/85aeecbf58  #30DayMapChallenge #urban @cesjumjs #urban pic.twitter.com/QTIncRWkTB,['eth_en'],['https://s.geo.admin.ch/85aeecbf58'],['https://pbs.twimg.com/media/EJvBRSoWwAAErqj.jpg'],0,1,12,"['#30daymapchallenge', '#urban', '#urban']",[],https://twitter.com/swiss_geoportal/status/1196762905997381632,False,,0,,,,,,,"[{'user_id': '138083232', 'username': 'swiss_geoportal'}, {'user_id': '204279080', 'username': 'ETH_en'}]",
1196760868614262784,1196760868614262784,1574165000000,2019-11-19,07:03:20,EST,155965570,danidlsa,Daniela de los Santos,,"#30DayMapChallenge Day 19 - Urban
Public bikes available in each bike station in Buenos Aires City at rush hour (9am and 5pm). Red spots represent 0 bikes available! @gcba @ElBotonMalo

From the archive of #datosdemiercoles

Explore the code in #rstats 👉  https://rpubs.com/danidlsa/bicis_caba … https://twitter.com/danidlsa/status/1166882965529485312 …","['gcba', 'elbotonmalo']","['https://rpubs.com/danidlsa/bicis_caba', 'https://twitter.com/danidlsa/status/1166882965529485312']",[],0,2,5,"['#30daymapchallenge', '#datosdemiercoles', '#rstats']",[],https://twitter.com/danidlsa/status/1196760868614262784,False,https://twitter.com/danidlsa/status/1166882965529485312,0,,,,,,,"[{'user_id': '155965570', 'username': 'danidlsa'}, {'user_id': '37494271', 'username': 'gcba'}, {'user_id': '1133162412339847174', 'username': 'ElBotonMalo'}]",
1196758091565543425,1196758091565543425,1574164338000,2019-11-19,06:52:18,EST,800277926348324864,arnold_platon,Arnold Platon,,"My submission for day 17. ""Zones"" 🗺️:

🌊 The many faces of 🇪🇺 EU-related maritime Exclusive Economic Zones ⛴️

Inspired to return to the #30DayMapChallenge by a tweet from @hireuter on EEZs. Took more hours than initially planned. pic.twitter.com/l9MVI8Y31o",['hireuter'],[],['https://pbs.twimg.com/media/EJu9Iw9WkAAqbDD.jpg'],2,3,16,['#30daymapchallenge'],[],https://twitter.com/Arnold_Platon/status/1196758091565543425,False,,0,,,,,,,"[{'user_id': '800277926348324864', 'username': 'Arnold_Platon'}, {'user_id': '2574612668', 'username': 'hireuter'}]",
1196757579319386112,1196757579319386112,1574164216000,2019-11-19,06:50:16,EST,2911550919,philpierdo,Philip Pierdomenico,,"#30DayMapChallenge 19: Urban
I took the commuter rail #map from Day 2 and added the @USGSLandCover data to it. (Also added the NHS line in CT). Really neat to see how population centers line up with the tracks - a real-life ""which came first"". This is one of my favorites :) pic.twitter.com/5ADOYCUvyg",['usgslandcover'],[],['https://pbs.twimg.com/media/EJu8p-JXUAAso47.jpg'],1,0,14,"['#30daymapchallenge', '#map']",[],https://twitter.com/PhilPierdo/status/1196757579319386112,False,,0,,,,,,,"[{'user_id': '2911550919', 'username': 'PhilPierdo'}, {'user_id': '249829509', 'username': 'USGSLandCover'}]",
1196757531823091713,1196757531823091713,1574164204000,2019-11-19,06:50:04,EST,17242884,maartenzam,Maarten Lambrechts,,Nice contribution to #30DayMapChallenge 19 (urban) https://twitter.com/OSMNigeria/status/1196345128455155716 …,[],['https://twitter.com/OSMNigeria/status/1196345128455155716'],[],0,1,9,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1196757531823091713,False,https://twitter.com/OSMNigeria/status/1196345128455155716,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}]",
1196756857446158336,1196756857446158336,1574164044000,2019-11-19,06:47:24,EST,22146490,joriseekhout,Joris Eekhout,,Day 19 (urban): Urban areas are rapidly expanding in the Mediterranean. These maps show how urban areas have expanded between 1990 and 2018 in 12 of the largest cities in the Mediterranean #30DayMapChallenge pic.twitter.com/bXxzG3NWeY,[],[],['https://pbs.twimg.com/media/EJu8AVsXUAEBwl6.jpg'],1,1,4,['#30daymapchallenge'],[],https://twitter.com/JorisEekhout/status/1196756857446158336,False,,0,,,,,,,"[{'user_id': '22146490', 'username': 'JorisEekhout'}]",
1196752137461497856,1196752137461497856,1574162918000,2019-11-19,06:28:38,EST,1068081944364109824,generally_geo,Pete King,,"#30DayMapChallenge Day 13: Tracks
A track near where I live using a combination of @LINZLDS topo data and @greaterwgtn walking tracks. Finally got to use @drewfore tutorial to add some nice hachures to a finished map :) made with #QGIS and Inkscape pic.twitter.com/1bDQpGu9b4","['linzlds', 'greaterwgtn', 'drewfore']",[],['https://pbs.twimg.com/media/EJu3rgmU8AEiL_D.jpg'],0,0,7,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/Generally_Geo/status/1196752137461497856,False,,0,,,,,,,"[{'user_id': '1068081944364109824', 'username': 'Generally_Geo'}, {'user_id': '316232211', 'username': 'LINZLDS'}, {'user_id': '141071353', 'username': 'greaterwgtn'}, {'user_id': '222279005', 'username': 'drewfore'}]",
1196745832017477632,1196745832017477632,1574161415000,2019-11-19,06:03:35,EST,3184944408,ramya_ragupathy,Ramya Ragupathy,,Highlighting @openstreetmap bus stops across urban spaces for  #30DayMapChallenge pic.twitter.com/fh4lnt5SX4,['openstreetmap'],[],"['https://pbs.twimg.com/media/EJux-sWU4AUJZQg.png', 'https://pbs.twimg.com/media/EJux-sZUcAA-FMq.png', 'https://pbs.twimg.com/media/EJux-sXU4AEAmJo.png', 'https://pbs.twimg.com/media/EJux-sYUcAA0ltO.png']",0,5,36,['#30daymapchallenge'],[],https://twitter.com/ramya_ragupathy/status/1196745832017477632,False,,0,,,,,,,"[{'user_id': '3184944408', 'username': 'ramya_ragupathy'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1196744851821416448,1190196553165737984,1574161181000,2019-11-19,05:59:41,EST,41566604,pierrebrt,Pierre Breteau,,"Jour 19 du #30DayMapChallenge, dont le thème est « urban ». Je ne connais rien de plus urbain que Paris (et l'évolution du vote LRM entre la présidentielle 2017 et les européennes 2019) avant les municipales en 2020.  https://www.lemonde.fr/les-decodeurs/article/2019/05/28/les-resultats-des-europeennes-2019-a-paris-en-dix-cartes_5468692_4355770.html … pic.twitter.com/4en8Qkv6vA",[],['https://www.lemonde.fr/les-decodeurs/article/2019/05/28/les-resultats-des-europeennes-2019-a-paris-en-dix-cartes_5468692_4355770.html'],['https://pbs.twimg.com/media/EJuxGKYWwAEs3z3.jpg'],2,0,2,['#30daymapchallenge'],[],https://twitter.com/pierrebrt/status/1196744851821416448,False,,0,,,,,,,"[{'user_id': '41566604', 'username': 'pierrebrt'}]",
1196744370743054336,1196744370743054336,1574161067000,2019-11-19,05:57:47,EST,1263785167,fpappenberger,Florian Pappenberger,,"Looks truly impressive, does it qualify for the #30daymapchallenge  ? https://twitter.com/irinasandu_ec/status/1196739796418383874 …",[],['https://twitter.com/irinasandu_ec/status/1196739796418383874'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/FPappenberger/status/1196744370743054336,False,https://twitter.com/irinasandu_ec/status/1196739796418383874,0,,,,,,,"[{'user_id': '1263785167', 'username': 'FPappenberger'}]",
1196744252128157696,1196744252128157696,1574161038000,2019-11-19,05:57:18,EST,1683967207,helenofstow,Helen Cooper,,"#30DayMapChallenge
19. Urban

How do you define an urban area?  It's not as straightforward as you might think!  Here are three different data sets showing the urban extent of Oxford.

@OrdnanceSurvey's Zoomstack, and two data sets from @ONSgeography. pic.twitter.com/CPSkiJmcAQ","['ordnancesurvey', 'onsgeography']",[],['https://pbs.twimg.com/media/EJuwjUfXUAEs8Tb.jpg'],0,0,3,['#30daymapchallenge'],[],https://twitter.com/HelenOfStow/status/1196744252128157696,False,,0,,,,,,,"[{'user_id': '1683967207', 'username': 'HelenOfStow'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '2248416469', 'username': 'ONSgeography'}]",
1196744238601555968,1196744238601555968,1574161035000,2019-11-19,05:57:15,EST,77265423,ijturton,Ian Turton,,"Day 19 of #30DayMapChallenge is urban, so here is a map of ""urban"" areas in the world defined by population density (from CIESIN), built with #qgis. pic.twitter.com/Zq3U3XbcMX",[],[],['https://pbs.twimg.com/media/EJuwfLBXsAA13fs.jpg'],1,0,3,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/ijturton/status/1196744238601555968,False,,0,,,,,,,"[{'user_id': '77265423', 'username': 'ijturton'}]",
1196741955104976896,1196741955104976896,1574160491000,2019-11-19,05:48:11,EST,32283900,borismericskay,Boris Mericskay,,"#30DayMapChallenge  Day 19. Urban

⏯ Visualize in time and space the 170 000 reports of the 311 application #dansmarue of @Paris (2014-2019)

Dataset available on @opendataParis / made with #keplerGL pic.twitter.com/rckFKMkSOH","['paris', 'opendataparis']",[],[],0,3,8,"['#30daymapchallenge', '#dansmarue', '#keplergl']",[],https://twitter.com/BorisMericskay/status/1196741955104976896,False,,1,,,,,,,"[{'user_id': '32283900', 'username': 'BorisMericskay'}, {'user_id': '71016845', 'username': 'Paris'}, {'user_id': '153350471', 'username': 'opendataParis'}]",
1196740563124543489,1196740563124543489,1574160159000,2019-11-19,05:42:39,EST,920204440606593024,filipebatsilv,FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰,,"#30DayMapChallenge | Day 19: Urban
Proportion (%) of built-up areas per region in 1975 and 2010 in Europe. pic.twitter.com/3jiZ1Zcfnq",[],[],"['https://pbs.twimg.com/media/EJutMiRXYAEno-w.jpg', 'https://pbs.twimg.com/media/EJutMiTWoAAWvwW.jpg']",2,18,39,['#30daymapchallenge'],[],https://twitter.com/filipebatsilv/status/1196740563124543489,False,,0,,,,,,,"[{'user_id': '920204440606593024', 'username': 'filipebatsilv'}]",
1196737290703441922,1196737290703441922,1574159379000,2019-11-19,05:29:39,EST,2787878432,mildthing99,BC,,"Fly over: Allotments of London
@LondonNPC
@WildintheCity1 @DanRavenEllison
3D #Scene @OrdnanceSurvey layer in @ArcGISOnline @GIS4Schools @geogologue #30DayMapChallenge #URBAN
#UrbanGreening @tjukanov  https://twitter.com/mildthing99/status/810903032603017217 … pic.twitter.com/l8L26MrxJK","['londonnpc', 'wildinthecity1', 'danravenellison', 'ordnancesurvey', 'arcgisonline', 'gis4schools', 'geogologue', 'tjukanov']",['https://twitter.com/mildthing99/status/810903032603017217'],[],3,14,35,"['#scene', '#30daymapchallenge', '#urban', '#urbangreening']",[],https://twitter.com/mildthing99/status/1196737290703441922,False,,1,,,,,,,"[{'user_id': '2787878432', 'username': 'mildthing99'}, {'user_id': '2241347358', 'username': 'LondonNPC'}, {'user_id': '1695054199', 'username': 'WildintheCity1'}, {'user_id': '112531537', 'username': 'DanRavenEllison'}, {'user_id': '22614266', 'username': 'OrdnanceSurvey'}, {'user_id': '2314451911', 'username': 'ArcGISOnline'}, {'user_id': '34434120', 'username': 'GIS4Schools'}, {'user_id': '715437344858443776', 'username': 'geogologue'}, {'user_id': '2198358416', 'username': 'tjukanov'}]",
1196735370307616768,1196735370307616768,1574158921000,2019-11-19,05:22:01,EST,33788841,dakvid,suǝbbıɹɟ pıʌɐp,,For #30DayMapChallenge Day 19 (Urban) I thought I'd redo a map I made a few months ago in R with my new friend QGIS. It's the happiest I've been with my QGIS efforts so far (but still room for improvement) pic.twitter.com/zC5Jhw9nas,[],[],['https://pbs.twimg.com/media/EJuodtOUEAAOc3_.jpg'],2,0,8,['#30daymapchallenge'],[],https://twitter.com/dakvid/status/1196735370307616768,False,,0,,,,,,,"[{'user_id': '33788841', 'username': 'dakvid'}]",
1196730156683059200,1196730156683059200,1574157678000,2019-11-19,05:01:18,EST,3123452678,niclochg,Maedhbh Nic Lochlainn,,"#30DayMapChallenge Day 19 - urban - using @CSOIreland settlement data and #OSM placenames, I'm mapping places with 'bally' in their name. 'Bally' comes from 'Baile' or town, so I like to think of this as the Irish language map of urban Ireland, which pays the border little mind. pic.twitter.com/Bh38I0pAO0",['csoireland'],[],['https://pbs.twimg.com/media/EJujuWEXsAAN-BU.jpg'],0,2,6,"['#30daymapchallenge', '#osm']",[],https://twitter.com/niclochg/status/1196730156683059200,False,,0,,,,,,,"[{'user_id': '3123452678', 'username': 'niclochg'}, {'user_id': '63576239', 'username': 'CSOIreland'}]",
1196726742062419969,1196726742062419969,1574156864000,2019-11-19,04:47:44,EST,1499547780,heikkivesanto,Heikki Vesanto,,I'll meet you on.... Perhaps Dublin's most confused street/road. #30DayMapChallenge #Day19 #Urban pic.twitter.com/DNsDXDpH7E,[],[],['https://pbs.twimg.com/media/EJuggZ3WoAECMvk.jpg'],10,50,199,"['#30daymapchallenge', '#day19', '#urban']",[],https://twitter.com/HeikkiVesanto/status/1196726742062419969,False,,0,,,,,,,"[{'user_id': '1499547780', 'username': 'HeikkiVesanto'}]",
1196725515534700545,1196725515534700545,1574156571000,2019-11-19,04:42:51,EST,818083243018907648,regxaardeo,Reĝa Ardeo,,"Lokoj nomataj ""esperanto"" en la mondo. #Esperanto #30DayMapChallenge Tago 16 : Lokoj. pic.twitter.com/N60Gfsq2tu",[],[],['https://pbs.twimg.com/media/EJufDKpXYAEc0NN.jpg'],2,1,4,"['#esperanto', '#30daymapchallenge']",[],https://twitter.com/RegxaArdeo/status/1196725515534700545,False,,0,,,,,,,"[{'user_id': '818083243018907648', 'username': 'RegxaArdeo'}]",
1196724810837049344,1196724810837049344,1574156403000,2019-11-19,04:40:03,EST,140068360,geomniuk,GeomniUK,,"Day 19 of the #30DayMapChallenge - #urban

Created from high res clutter,UKLand, utilises UKBuildings and UKLand to create parcels of land classified by their land use.

This map illustrates all the land parcels classified as a type of “Urban” class for the city of #Sheffield. pic.twitter.com/jCsgKQMs19",[],[],['https://pbs.twimg.com/media/EJue25tXkAATqbU.jpg'],0,2,4,"['#30daymapchallenge', '#urban', '#sheffield']",[],https://twitter.com/GeomniUK/status/1196724810837049344,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1196723061099311104,1196723061099311104,1574155986000,2019-11-19,04:33:06,EST,336490122,thibault_lh,Thibault Le Hégarat 📺,,"J’apprends seulement aujourd’hui que novembre est le #30daymapchallenge. Ceci appelle des changements dans ma TL.
(Cliquez sur le # pour découvrir de belles cartes)",[],[],[],0,1,5,['#30daymapchallenge'],[],https://twitter.com/thibault_lh/status/1196723061099311104,False,,0,,,,,,,"[{'user_id': '336490122', 'username': 'thibault_lh'}]",
1196722314991284224,1196722314991284224,1574155808000,2019-11-19,04:30:08,EST,140068360,geomniuk,GeomniUK,,"Day 18 of the #30DayMapChallenge -  #globe

2 images of #London showing Shakespeare’s Globe

1994 (Under Construction)
2013 (How it looks today) pic.twitter.com/KQEXreaoHT",[],[],"['https://pbs.twimg.com/media/EJucl1WXUAEoru8.jpg', 'https://pbs.twimg.com/media/EJucl1YWoAAXImD.jpg']",0,2,3,"['#30daymapchallenge', '#globe', '#london']",[],https://twitter.com/GeomniUK/status/1196722314991284224,False,,0,,,,,,,"[{'user_id': '140068360', 'username': 'GeomniUK'}]",
1196718219026825216,1196718219026825216,1574154832000,2019-11-19,04:13:52,EST,775431997112147972,marlenedorgny,Marlène Dorgny,,"#30DayMapChallenge Jours 19 : Urban & Jour 20 : Rural.
Populations des zones urbaines et rurales dans le monde, chiffres milieu 2018.
Source #unitednations pic.twitter.com/G9DZmGPye3",[],[],['https://pbs.twimg.com/media/EJuYt4vX0AA40yc.jpg'],1,3,21,"['#30daymapchallenge', '#unitednations']",[],https://twitter.com/MarleneDorgny/status/1196718219026825216,False,,0,,,,,,,"[{'user_id': '775431997112147972', 'username': 'MarleneDorgny'}]",
1196705648563634176,1196705648563634176,1574151834000,2019-11-19,03:23:54,EST,153718180,craigtaylorgis,Craig Taylor,,"#30DayMapChallenge Day 19: Urban🛣️

Quick animation of the evolution of @openstreetmap in Berlin for all the v1 additions of roads and buildings. Building height random - didn't have time to extract actual values.

#map #3d #animation pic.twitter.com/ltzfarBxHi",['openstreetmap'],[],[],1,5,43,"['#30daymapchallenge', '#map', '#3d', '#animation']",[],https://twitter.com/CraigTaylorGIS/status/1196705648563634176,False,,1,,,,,,,"[{'user_id': '153718180', 'username': 'CraigTaylorGIS'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1196702528865476608,1196702528865476608,1574151091000,2019-11-19,03:11:31,EST,38010177,citizenfishy,Sweary Dave,,"#30daymapchallenge Day 19 (phew!) Urban

I've tried to illustrate the urban decay of England and Wales by punching out the areas classified as urban and colouring the remainder with darker green being more rural pic.twitter.com/mZn9Vn88EN",[],[],['https://pbs.twimg.com/media/EJuKjZ4XkAIILBq.jpg'],4,2,17,['#30daymapchallenge'],[],https://twitter.com/citizenfishy/status/1196702528865476608,False,,0,,,,,,,"[{'user_id': '38010177', 'username': 'citizenfishy'}]",
1196700885851820032,1196700885851820032,1574150699000,2019-11-19,03:04:59,EST,2844946777,burriezamateos,José María Burrieza,,"#30DayMapChallenge
#Map_19 Urban
Mapa de #Santiago de Compostela mandado por el arzobispo a #FelipeII, en una carta de mayo de 1595, con advertencias sobre las puertas para la defensa de la ciudad. Archivo de #Simancas pic.twitter.com/bK7mmEsIL5",[],[],"['https://pbs.twimg.com/media/EJuJG9OWsAEVxNM.jpg', 'https://pbs.twimg.com/media/EJuJG9OWkAAkbAk.jpg']",0,3,5,"['#30daymapchallenge', '#map_19', '#santiago', '#felipeii', '#simancas']",[],https://twitter.com/BurriezaMateos/status/1196700885851820032,False,,0,,,,,,,"[{'user_id': '2844946777', 'username': 'BurriezaMateos'}]",
1196699979387219968,1196699979387219968,1574150483000,2019-11-19,03:01:23,EST,65125461,bplmaps,Leventhal Map & Education Center at the BPL,,"Today’s #30daymapchallenge theme is #urban! While us Bostonians have always had a little chip on our shoulder about all things New York, this map couldn’t care less. In fact, this bold statement appears: “First City of the World.” Well played, New York.

 http://collections.leventhalmap.org/search/commonwealth:4m90f2106 … pic.twitter.com/J3ME3TseZd",[],['http://collections.leventhalmap.org/search/commonwealth:4m90f2106'],['https://pbs.twimg.com/media/EJuIG85WwAAtDg6.png'],0,1,13,"['#30daymapchallenge', '#urban']",[],https://twitter.com/bplmaps/status/1196699979387219968,False,,0,,,,,,,"[{'user_id': '65125461', 'username': 'bplmaps'}]",
1196697662340452352,1196697662340452352,1574149930000,2019-11-19,02:52:10,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
#Map_19 Urban #Lleida #Aigua

Fa uns dies vam anar a @escolapaisosca1 i vam explicar
el dipòsit de l'aigua de Lleida i la ruta de les fonts.

@paerialleida @turismedelleida pic.twitter.com/mxb83OKdLA","['escolapaisosca1', 'paerialleida', 'turismedelleida']",[],"['https://pbs.twimg.com/media/EJuGK9RX0AAG2xd.png', 'https://pbs.twimg.com/media/EJuGK9RWkAEU7Fo.jpg']",0,2,12,"['#30daymapchallenge', '#map_19', '#lleida', '#aigua']",[],https://twitter.com/iservia/status/1196697662340452352,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '1039941047437209601', 'username': 'escolapaisosca1'}, {'user_id': '132164404', 'username': 'paerialleida'}, {'user_id': '263115297', 'username': 'turismedelleida'}, {'user_id': '2381824175', 'username': 'antonipostius'}, {'user_id': '2876411861', 'username': 'aqualia'}, {'user_id': '252042236', 'username': 'jalbgar'}, {'user_id': '961218740', 'username': 'Merino_JP'}, {'user_id': '2374372026', 'username': 'F_Quinti'}]",
1196695517696331777,1196695517696331777,1574149419000,2019-11-19,02:43:39,EST,3362151886,canope_94,Atelier Canopé 94 - Champigny-sur-Marne,College Willy Ronis,"#30DayMapChallenge thème #urban

Les 3e SEGPA du collège Willy Ronis de Champigny présentent la carte des accidents de vélo dans leur ville entre 2014 et 2018. Vous pourrez bientôt consulter la version interactive sur @datagouvfr et cliquer sur les points pour obtenir des infos. pic.twitter.com/2h7ux4ZHyc",['datagouvfr'],[],[],0,4,6,"['#30daymapchallenge', '#urban']",[],https://twitter.com/canope_94/status/1196695517696331777,False,,1,,,,,,,"[{'user_id': '3362151886', 'username': 'canope_94'}, {'user_id': '268227446', 'username': 'datagouvfr'}]",
1196693650270502913,1196693650270502913,1574148974000,2019-11-19,02:36:14,EST,393905106,iservia,Ignasi Servià,,"#30DayMapChallenge
#Map_18 Globe

@IPCC_CH
Intergovernmental Panel on Climate Change #IPCC
 http://apps.ipcc-data.org/maps/  pic.twitter.com/h7uYAw2COx",['ipcc_ch'],['http://apps.ipcc-data.org/maps/'],"['https://pbs.twimg.com/media/EJuChtwXkAIOE5G.jpg', 'https://pbs.twimg.com/media/EJuChtyW4AAlb5D.jpg', 'https://pbs.twimg.com/media/EJuChtxXsAEK3Bt.jpg']",0,0,0,"['#30daymapchallenge', '#map_18', '#ipcc']",[],https://twitter.com/iservia/status/1196693650270502913,False,,0,,,,,,,"[{'user_id': '393905106', 'username': 'iservia'}, {'user_id': '192942213', 'username': 'IPCC_CH'}]",
1196692637459206144,1190458101830316032,1574148732000,2019-11-19,02:32:12,EST,5779402,polemic,Hamish Campbell,,"I have fallen off the #30DayMapChallenge boat.

However I was inspired by @fogonwater’s excellent #FOSS4G_SotM_Oceania talk to spend a couple of minutes understanding how to use slope analysis to make better hillshades and the results are very encouraging. pic.twitter.com/w0R069eckF",['fogonwater'],[],['https://pbs.twimg.com/media/EJuA9rPU8AA0iia.png'],1,0,11,"['#30daymapchallenge', '#foss4g_sotm_oceania']",[],https://twitter.com/polemic/status/1196692637459206144,False,,0,,,,,,,"[{'user_id': '5779402', 'username': 'polemic'}, {'user_id': '1075949624626601984', 'username': 'fogonwater'}]",
1196688800501551105,1196688800501551105,1574147818000,2019-11-19,02:16:58,EST,215404498,akadouri,Ariel Kadouri,,Wind speed over the pacific on a week in '96. #30DayMapChallenge Day 18: Globe pic.twitter.com/g1kjWIiQ3A,[],[],['https://pbs.twimg.com/media/EJt-HiUU4AAXWDb.png'],1,0,1,['#30daymapchallenge'],[],https://twitter.com/akadouri/status/1196688800501551105,False,,0,,,,,,,"[{'user_id': '215404498', 'username': 'akadouri'}]",
1196685705059155968,1196685705059155968,1574147080000,2019-11-19,02:04:40,EST,2205978287,alsuhailfaris,Faris Alsuhail,,"Urban. Percentage of livable floor area of total floor area in downtown Helsinki. Darker color = bigger percentage, bigger circle = more total floor area. Data: @hsy_fi, @HelsinkiKymp #30DayMapChallenge #urban #living #asuminen #helsinki #rakennustietoruudukko #bubbles pic.twitter.com/m6028isJfJ","['hsy_fi', 'helsinkikymp']",[],['https://pbs.twimg.com/media/EJt7TUPXsAIXTV_.jpg'],0,1,3,"['#30daymapchallenge', '#urban', '#living', '#asuminen', '#helsinki', '#rakennustietoruudukko', '#bubbles']",[],https://twitter.com/AlsuhailFaris/status/1196685705059155968,False,,0,,,,,,,"[{'user_id': '2205978287', 'username': 'AlsuhailFaris'}, {'user_id': '3343878455', 'username': 'hsy_fi'}, {'user_id': '430613341', 'username': 'HelsinkiKymp'}]",
1196682430913994752,1196682430913994752,1574146299000,2019-11-19,01:51:39,EST,165669854,williamscraigm,Craig Williams,,"#30DayMapChallenge Day 18: Globe. Not a lot of time to map today, but I ~felt~ I should do something. Here's version of the moon-sized, deep-space mobile battle station constructed by the Galactic Empire. pic.twitter.com/xQKBONDEnc",[],[],['https://pbs.twimg.com/media/EJt4Uj_UEAYj0NY.jpg'],4,1,26,['#30daymapchallenge'],[],https://twitter.com/williamscraigm/status/1196682430913994752,False,,0,,,,,,,"[{'user_id': '165669854', 'username': 'williamscraigm'}]",
1196678835540045824,1196678835540045824,1574145442000,2019-11-19,01:37:22,EST,43953969,jwolondon,Jo Wood,,"Day 19: Urban

Beneath us lies a parallel network of urban centres. The places in which we congregate after death.

Every graveyard, cemetery and crematorium in the UK; points sized by land area.

Workings & data:  https://github.com/jwoLondon/30dayMapChallenge/blob/master/d19Urban.md …
#30DayMapChallenge pic.twitter.com/qkVsBg4gzt",[],['https://github.com/jwoLondon/30dayMapChallenge/blob/master/d19Urban.md'],['https://pbs.twimg.com/media/EJt1DfyWkAADSCu.jpg'],1,10,36,['#30daymapchallenge'],[],https://twitter.com/jwoLondon/status/1196678835540045824,False,,0,,,,,,,"[{'user_id': '43953969', 'username': 'jwoLondon'}]",
1196678022809604097,1196678022809604097,1574145248000,2019-11-19,01:34:08,EST,3346807874,emmavitz,Emma Vitz,,"Day 19 of the #30DayMapChallenge with the theme Urban. I was thinking about what defines an urban area, and how far it is from the closest H&M may have crossed my mind... 😂so here we have a comparison of the usual meshblock definitions & my new H&M based metric #rstats #rspatial pic.twitter.com/38inp8PJZM",[],[],['https://pbs.twimg.com/media/EJt0UBWVUAA1qP4.jpg'],1,2,22,"['#30daymapchallenge', '#rstats', '#rspatial']",[],https://twitter.com/EmmaVitz/status/1196678022809604097,False,,0,,,,,,,"[{'user_id': '3346807874', 'username': 'EmmaVitz'}]",
1196673212945448960,1196673212945448960,1574144101000,2019-11-19,01:15:01,EST,84613584,pajaropolitico,AnimalPolitico.com,,"Un geógrafo finlandés lanzó un reto en Internet para crear mapas de prácticamente cualquier tema: el #30DayMapChallenge. En México abundan los tacos, los museos... y la violencia. https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …",[],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],1,16,52,['#30daymapchallenge'],[],https://twitter.com/Pajaropolitico/status/1196673212945448960,False,,0,,,,,,,"[{'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196672663026118658,1190472318885208064,1574143970000,2019-11-19,01:12:50,EST,237889929,denisedslu,ಠ_ಠ,,Day 17 of #30DayMapChallenge – Zones. Here’s a plant hardiness zone map for Alaska. Gardeners can use the zones to determine when certain plants will thrive based on average lowest temperature of a certain location. pic.twitter.com/vCIgLDJKyh,[],[],['https://pbs.twimg.com/media/EJtuxwkXUAAf9O-.jpg'],2,2,12,['#30daymapchallenge'],[],https://twitter.com/DeniseDSLu/status/1196672663026118658,False,,0,,,,,,,"[{'user_id': '237889929', 'username': 'DeniseDSLu'}]",
1196666449470857216,1196666449470857216,1574142489000,2019-11-19,00:48:09,EST,528956594,vizualdatos,Edwin Mendivil Barceló,,"#30DayMapChallenge Day 4 Hexagons . No. de artesanos en Colombia por depto. Realizado en #R
Seguí este tutorial  https://github.com/jbaileyh/geogrid …  librerías: geogrid y tmap.  Fue lo mejor que pude lograr...  Comparto código
#rstatsEs #mapadeColombia #visualizaciondedatos pic.twitter.com/5fPnl4lboc",[],['https://github.com/jbaileyh/geogrid'],['https://pbs.twimg.com/media/EJtpyYzXYAAGNYR.jpg'],1,3,13,"['#30daymapchallenge', '#r', '#rstatses', '#mapadecolombia', '#visualizaciondedatos']",[],https://twitter.com/vizualdatos/status/1196666449470857216,False,,0,,,,,,,"[{'user_id': '528956594', 'username': 'vizualdatos'}]",
1196663702503575552,1192661026124120064,1574141834000,2019-11-19,00:37:14,EST,748038863206088704,yavannie24,Shannon Gonzales,,"#30DayMapChallenge
18. Globe - Antarctica 🇦🇶 pic.twitter.com/CBBR2ZhTi2",[],[],['https://pbs.twimg.com/media/EJtnSe-UcAAFTkF.jpg'],2,0,7,['#30daymapchallenge'],[],https://twitter.com/yavannie24/status/1196663702503575552,False,,0,,,,,,,"[{'user_id': '748038863206088704', 'username': 'yavannie24'}]",
1196654883463548929,1196654883463548929,1574139731000,2019-11-19,00:02:11,EST,1156558652016340992,numeraloka,Numera Loka,,"As a follow up to previous post depicting the most and least affluent neighborhood in #Jakarta using property taxes data, we further probe how does this observation align with the built environment characteristics by a virtue of slum assessment. #30DayMapChallenge #RStats pic.twitter.com/kAwBjp55wq",[],[],['https://pbs.twimg.com/media/EJtfRWPVUAEi25E.jpg'],0,1,2,"['#jakarta', '#30daymapchallenge', '#rstats']",[],https://twitter.com/NumeraLoka/status/1196654883463548929,False,,0,,,,,,,"[{'user_id': '1156558652016340992', 'username': 'NumeraLoka'}]",
1196653670860910592,1196653670860910592,1574139442000,2019-11-18,23:57:22,EST,1156558652016340992,numeraloka,Numera Loka,,"Property taxes data reveal an interesting pattern of neighborhood characteristics in Jakarta. One particular puzzle: the most and least affluent neighborhoods in the city (bounded by green and red line, respectively) are almost adjacent from one to the other #30DayMapChallenge pic.twitter.com/MHsiWkWBSV",[],[],['https://pbs.twimg.com/media/EJteJ1iU8AAUXfd.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/NumeraLoka/status/1196653670860910592,False,,0,,,,,,,"[{'user_id': '1156558652016340992', 'username': 'NumeraLoka'}]",
1196652715356622848,1194825808524849152,1574139214000,2019-11-18,23:53:34,EST,14344140,darenw,Daren Willman,,Day seven of the #30DayMapChallenge (red)... Didn't have too much time to spend on it today but here's every route Mike Trout ran this year where he was the responsible fielder pic.twitter.com/tELttTKDcV,['fenwaypark'],[],['https://pbs.twimg.com/media/EJtdTOmX0AAc8kK.png'],7,4,41,['#30daymapchallenge'],[],https://twitter.com/darenw/status/1196652715356622848,False,,0,,,,,,,"[{'user_id': '14344140', 'username': 'darenw'}, {'user_id': '3840475692', 'username': 'fenwaypark'}]",
1196651191016411136,1196651191016411136,1574138851000,2019-11-18,23:47:31,EST,85232878,ddiazescandon,David Díaz Escandón,,"#30DayMapChallenge Day 18: Globe

Density of #30DayMapChallenge tweets per country so far @googleearth #qgis @7Javier6 pic.twitter.com/iQbzvPl4zu","['googleearth', '7javier6']",[],[],0,11,18,"['#30daymapchallenge', '#30daymapchallenge', '#qgis']",[],https://twitter.com/ddiazescandon/status/1196651191016411136,False,,1,,,,,,,"[{'user_id': '85232878', 'username': 'ddiazescandon'}, {'user_id': '31285982', 'username': 'googleearth'}, {'user_id': '359015182', 'username': '7Javier6'}]",
1196646833147265024,1196646833147265024,1574137812000,2019-11-18,23:30:12,EST,496514453,visualvariable,Travis White,,"#30DayMapChallenge

Day 18. Globe

The antipode of Kansas is in the southern Indian Ocean. Data from Natural Earth. pic.twitter.com/BvfJuqmP7v",[],[],"['https://pbs.twimg.com/media/EJtX8q3W4AEtZsq.jpg', 'https://pbs.twimg.com/media/EJtX8q4X0AAI5o6.jpg']",1,0,8,['#30daymapchallenge'],[],https://twitter.com/visualvariable/status/1196646833147265024,False,,0,,,,,,,"[{'user_id': '496514453', 'username': 'visualvariable'}]",
1196631965346091011,1192661026124120064,1574134267000,2019-11-18,22:31:07,EST,748038863206088704,yavannie24,Shannon Gonzales,,"#30DayMapChallenge
17. Zones - Designated Marine Conservation Zones (Natural England & JNCC) pic.twitter.com/9QBshG7ZW3",[],[],['https://pbs.twimg.com/media/EJtKbdBU0AAEyTn.jpg'],1,0,3,['#30daymapchallenge'],[],https://twitter.com/yavannie24/status/1196631965346091011,False,,0,,,,,,,"[{'user_id': '748038863206088704', 'username': 'yavannie24'}]",
1196631184245215232,1196631184245215232,1574134081000,2019-11-18,22:28:01,EST,27236923,writeny,Writer Meredith Kurz,,"#30DayMapChallenge The first full geological map of Saturn’s moon Titan photo: NASA, published in Nature Astronomy on Nov. 18, identifies 6 key features: plains, dunes, hummocky terrain (small mountains), lakes, labyrinth terrain and craters. pic.twitter.com/aoF9fiNtN9",[],[],['https://pbs.twimg.com/media/EJtJt-hWkAESGIm.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/writeny/status/1196631184245215232,False,,0,,,,,,,"[{'user_id': '27236923', 'username': 'writeny'}]",
1196626203609833472,1196626203609833472,1574132893000,2019-11-18,22:08:13,EST,1326309806,ideastlaxcala,ideastlaxcala,,#30DayMapChallenge: Los mapas sobre México en un reto global https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …,[],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/ideastlaxcala/status/1196626203609833472,False,,0,,,,,,,"[{'user_id': '1326309806', 'username': 'ideastlaxcala'}]",
1196624483777437696,1196624483777437696,1574132483000,2019-11-18,22:01:23,EST,736009987,minitigri,Felipe Lancheros 🐯,,Some parks in Bogota. #30DayMapChallenge #QGIS #Bogota #Colombia #Zones Day 17 (late) pic.twitter.com/aQnoUakOZm,[],[],['https://pbs.twimg.com/media/EJtDmQjXYAELMIj.jpg'],0,0,10,"['#30daymapchallenge', '#qgis', '#bogota', '#colombia', '#zones']",[],https://twitter.com/MiniTigri/status/1196624483777437696,False,,0,,,,,,,"[{'user_id': '736009987', 'username': 'MiniTigri'}]",
1196616584766382080,1196616584766382080,1574130600000,2019-11-18,21:30:00,EST,822048926081712128,cchurchili,Carl Churchill,,"Another day, another day with slow internet. So, for todays #30daymapchallenge heres old map I did of cloud cover zoomed out from space:

 https://flic.kr/p/2dDkrKn

A curved projection doesn't work always, but when it does it gives a great sense of scale.",[],['https://flic.kr/p/2dDkrKn'],[],3,5,23,['#30daymapchallenge'],[],https://twitter.com/Cchurchili/status/1196616584766382080,False,,0,,,,,,,"[{'user_id': '822048926081712128', 'username': 'Cchurchili'}]",
1196613334310649856,1196613334310649856,1574129825000,2019-11-18,21:17:05,EST,216913421,osomayor45,osomayor,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ … vía @pajaropolitico",['pajaropolitico'],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/osomayor45/status/1196613334310649856,False,,0,,,,,,,"[{'user_id': '216913421', 'username': 'osomayor45'}, {'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196600779773227009,1196600779773227009,1574126832000,2019-11-18,20:27:12,EST,82467442,thomasg77,Thomas gratier,,"#30DayMapChallenge Day 11 elevation ""Nantes et ses environs"" => Joy division style for the noobs ;) (need to investigate your #qgis examples @cartocalypse) Use the Python ridge-map  https://pypi.org/project/ridge-map/ … So, the dependencies = only Python and one package! pic.twitter.com/MNINg2MAlt",['cartocalypse'],['https://pypi.org/project/ridge-map/'],['https://pbs.twimg.com/media/EJst6WSWsAAI5U9.jpg'],0,0,2,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/ThomasG77/status/1196600779773227009,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}, {'user_id': '1710706561', 'username': 'cartocalypse'}]",
1196600397298896897,1196600397298896897,1574126741000,2019-11-18,20:25:41,EST,2424592651,timstonge,Tim St. Onge,,#30DayMapChallenge Day 17 - Zones: Libraries! Isochrone map of 5 and 10 minute walking distances to DC public libraries. pic.twitter.com/Fxn0Y6vVQ0,[],[],"['https://pbs.twimg.com/media/EJstpjLW4AAZHVb.jpg', 'https://pbs.twimg.com/media/EJstpjRWwAALpeE.jpg']",1,0,4,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1196600397298896897,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1196600179446747136,1195814860875030529,1574126689000,2019-11-18,20:24:49,EST,2424592651,timstonge,Tim St. Onge,,#30DayMapChallenge,[],[],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/TimStOnge/status/1196600179446747136,False,,0,,,,,,,"[{'user_id': '2424592651', 'username': 'TimStOnge'}]",
1196596444842647552,1196596444842647552,1574125798000,2019-11-18,20:09:58,EST,2236680859,rileydchampine,Riley D. Champine,,I made this globe a few months ago for a story about a new marine park in Argentina:  https://www.nationalgeographic.com/magazine/2019/07/how-argentina-is-preserving-remote-tierra-del-fuego-marine-life/ …. So shout-out to past me for taking care of today's #30DayMapChallenge. #cartography pic.twitter.com/IUEUUcXrML,[],['https://www.nationalgeographic.com/magazine/2019/07/how-argentina-is-preserving-remote-tierra-del-fuego-marine-life/'],['https://pbs.twimg.com/media/EJsqH3gWwAMy3Qr.png'],0,0,10,"['#30daymapchallenge', '#cartography']",[],https://twitter.com/rileydchampine/status/1196596444842647552,False,,0,,,,,,,"[{'user_id': '2236680859', 'username': 'rileydchampine'}]",
1196592723534458885,1196592723534458885,1574124911000,2019-11-18,19:55:11,EST,39364847,carolpos,carolina passos,,"17 Zones
Urban and Rural zones in Brazil over the time
#30DayMapChallenge pic.twitter.com/u2uqIUVYPH",[],[],['https://pbs.twimg.com/media/EJsmu8sXkAAHn7-.jpg'],2,4,70,['#30daymapchallenge'],[],https://twitter.com/carolpos/status/1196592723534458885,False,,0,,,,,,,"[{'user_id': '39364847', 'username': 'carolpos'}]",
1196585196071661568,1196585196071661568,1574123116000,2019-11-18,19:25:16,EST,13215962,jerry_shannon,Jerry Shannon,,"Not a ton of spare time today for the #30DayMapChallenge, and also don't map global data (today's theme) very often. But here's a map of all 17,000+ Dollar Generals in the U.S. using Google Earth, showing them as the sun sets. pic.twitter.com/hy1Sw9KNaH",[],[],['https://pbs.twimg.com/media/EJsf5F4WoAE2NUC.jpg'],0,2,17,['#30daymapchallenge'],[],https://twitter.com/jerry_shannon/status/1196585196071661568,False,,0,,,,,,,"[{'user_id': '13215962', 'username': 'jerry_shannon'}]",
1196583478629949440,1196583478629949440,1574122707000,2019-11-18,19:18:27,EST,4501898785,carmencarro_,Carmen Carro,,"#30DayMapChallenge
Day 18 #Globe
🏙️🌎Megacities V.2

#QGIS pic.twitter.com/nhT7pWkgdO",[],[],['https://pbs.twimg.com/media/EJseUVAWkAAGIu1.jpg'],1,2,7,"['#30daymapchallenge', '#globe', '#qgis']",[],https://twitter.com/CarmenCarro_/status/1196583478629949440,False,,0,,,,,,,"[{'user_id': '4501898785', 'username': 'CarmenCarro_'}]",
1196568016219230216,1196568016219230216,1574119020000,2019-11-18,18:17:00,EST,21198586,cccfr,CCC Freiburg,,"heutige #Chaosradio #Freiburg 0x27  https://rdl.de/beitrag/chaosradio-freiburg-0x27 … mit der #FOSSGIS Konferenz 2020   https://fossgis-konferenz.de/2020/  #5G , 56kbit sind die Zukunft der BRD @bnetza
 , #30DayMapChallenge und @TerribleMaps
@RDL_Aktuell
 auf RDL 102.3 Mhz","['bnetza', 'terriblemaps', 'rdl_aktuell']","['https://rdl.de/beitrag/chaosradio-freiburg-0x27', 'https://fossgis-konferenz.de/2020/']",[],0,2,3,"['#chaosradio', '#freiburg', '#fossgis', '#5g', '#30daymapchallenge']",[],https://twitter.com/cccfr/status/1196568016219230216,False,,0,,,,,,,"[{'user_id': '21198586', 'username': 'cccfr'}, {'user_id': '2863851729', 'username': 'bnetza'}, {'user_id': '1663172653', 'username': 'TerribleMaps'}, {'user_id': '497964471', 'username': 'RDL_Aktuell'}]",
1196560364739211265,1190289408022454272,1574117196000,2019-11-18,17:46:36,EST,69918773,gerardathletics,Gerard M. Porras,,"Dia 18: Globe.

Diferents projeccions, diferents maneres de representar el nostre ""globus"".

Si en voleu veure moltes i comparar...
 http://map-projections.net/imglist.php
#30DayMapChallenge
#QGIS pic.twitter.com/cEEPztUL9A",['openstreetmap'],['http://map-projections.net/imglist.php'],"['https://pbs.twimg.com/media/EJsJTGcWsAYccl9.jpg', 'https://pbs.twimg.com/media/EJsJTGfWoAUs14L.png', 'https://pbs.twimg.com/media/EJsJTGeXYAArX5M.jpg', 'https://pbs.twimg.com/media/EJsJTGjXkAcId2n.png']",1,0,0,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/Gerardathletics/status/1196560364739211265,False,,0,,,,,,,"[{'user_id': '69918773', 'username': 'Gerardathletics'}, {'user_id': '17925320', 'username': 'openstreetmap'}]",
1196559984403898376,1190339839729848320,1574117105000,2019-11-18,17:45:05,EST,2749312112,garciaart3,DoctorJ,,"#Day16 #30DayMapChallenge: Places. @Foursquare ""Coffee Shop"" check-ins in Bogota. Data from  https://sites.google.com/site/yangdingqi/home/foursquare-dataset … pic.twitter.com/jH2jVpr4G0","['col_en_datos', 'qgis', 'citibikenyc', 'votobici', 'policiacolombia', 'dadepbogota', 'blancaduranh', 'u2', 'wmvallejo', 'uncolombia', 'simun_unal', 'foursquare']",['https://sites.google.com/site/yangdingqi/home/foursquare-dataset'],['https://pbs.twimg.com/media/EJsI9UdWkAAZc7G.png'],2,0,2,"['#day16', '#30daymapchallenge']",[],https://twitter.com/garciaart3/status/1196559984403898376,False,,0,,,,,,,"[{'user_id': '2749312112', 'username': 'garciaart3'}, {'user_id': '996840260683423744', 'username': 'col_en_datos'}, {'user_id': '271327412', 'username': 'qgis'}, {'user_id': '366631688', 'username': 'CitiBikeNYC'}, {'user_id': '722439507845509120', 'username': 'VotoBici'}, {'user_id': '69432342', 'username': 'PoliciaColombia'}, {'user_id': '1197754334', 'username': 'DadepBogota'}, {'user_id': '61916854', 'username': 'blancaduranh'}, {'user_id': '18847632', 'username': 'U2'}, {'user_id': '231899420', 'username': 'WMVallejo'}, {'user_id': '2731985244', 'username': 'UNColombia'}, {'user_id': '722204623709302784', 'username': 'simun_unal'}, {'user_id': '804341497441255424', 'username': 'Foursquare'}]",
1196558750246563840,1196558750246563840,1574116811000,2019-11-18,17:40:11,EST,886193556,allisoncully,Allison Cully,,"Day 18: Globe
Tried to make a hollow globe. Strained my eyes AND my brain!
#30DayMapChallenge #ArcGISPro #WomenInGeospatial pic.twitter.com/d8sxERnuTQ",[],[],['https://pbs.twimg.com/media/EJsH1xPUYAIUmWV.jpg'],2,0,9,"['#30daymapchallenge', '#arcgispro', '#womeningeospatial']",[],https://twitter.com/AllisonCully/status/1196558750246563840,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1196556640578887681,1196556640578887681,1574116308000,2019-11-18,17:31:48,EST,82467442,thomasg77,Thomas gratier,,"Day 10 black and white ""Populated places or human desert?"" #30DayMapChallenge Done using QGIS, Natural Earth data, Global Human Settlement Layer 2015 (GHSL). Data idea borrowed from  http://www.statsmapsnpix.com/2016/10/the-global-human-settlement-layer.html … (thanks @undertheraedar !) Compass/wind rose =>  https://fr.wikipedia.org/wiki/Fichier:Rose_des_vents.svg … pic.twitter.com/DV0PvnJoVz",['undertheraedar'],"['http://www.statsmapsnpix.com/2016/10/the-global-human-settlement-layer.html', 'https://fr.wikipedia.org/wiki/Fichier:Rose_des_vents.svg']",['https://pbs.twimg.com/media/EJsEU99W4AMtN37.png'],1,0,6,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1196556640578887681,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}, {'user_id': '343928585', 'username': 'undertheraedar'}]",
1196556399616155648,1196556399616155648,1574116251000,2019-11-18,17:30:51,EST,155965570,danidlsa,Daniela de los Santos,,"#30DayMapChallenge Day 18: Globe

Playing with projections when suddenly a giant sinkhole opened up in Greenland!

(Jugando con proyecciones y #mapproj en #rstats #rstatsES)

This and other tests 👉  https://bit.ly/2CTIA1V
#datosdemiercoles #GIS pic.twitter.com/sOcW1exZDQ",[],['https://bit.ly/2CTIA1V'],[],0,4,3,"['#30daymapchallenge', '#mapproj', '#rstats', '#rstatses', '#datosdemiercoles', '#gis']",[],https://twitter.com/danidlsa/status/1196556399616155648,False,,1,,,,,,,"[{'user_id': '155965570', 'username': 'danidlsa'}]",
1196554841948114944,1196554841948114944,1574115879000,2019-11-18,17:24:39,EST,309734801,samwise_v,Sam J,,#30DayMapChallenge day 18 theme is globe so I took a quick look at different projections of the world pic.twitter.com/k7v16Ykbem,[],[],['https://pbs.twimg.com/media/EJsERh3W4AEZGl-.png'],0,1,6,['#30daymapchallenge'],[],https://twitter.com/samwise_v/status/1196554841948114944,False,,0,,,,,,,"[{'user_id': '309734801', 'username': 'samwise_v'}]",
1196553241686925312,1196553241686925312,1574115498000,2019-11-18,17:18:18,EST,297915370,ruth_mottram,Ruth Mottram,,Another great entry for #30DayMapChallenge - fits perfectly with the globe theme too (but not tagged?) https://twitter.com/jr_carpenter/status/1196522479595991041 …,[],['https://twitter.com/jr_carpenter/status/1196522479595991041'],[],1,3,14,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1196553241686925312,False,https://twitter.com/jr_carpenter/status/1196522479595991041,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1196552680572932099,1195414877562646528,1574115364000,2019-11-18,17:16:04,EST,895591511768813569,statnmap,Sébastien Rochette,,"#30DayMapChallenge with #rspatial
18/30. Globe. Is there a better way to create a globe than using ""globe""? Let's quickly play with John Coene (@jdatap again!) {globe4r} package 🌐.
Artistic view of France regions... #rstats
My computer suffers a lot with this rendering... pic.twitter.com/pbK0Qdo9Sv","['jdatap', 'jmcastagnetto']",[],['https://pbs.twimg.com/media/EJsCRzXWkAAvIix.jpg'],2,3,4,"['#30daymapchallenge', '#rspatial', '#rstats']",[],https://twitter.com/StatnMap/status/1196552680572932099,False,,0,,,,,,,"[{'user_id': '895591511768813569', 'username': 'StatnMap'}, {'user_id': '1571967648', 'username': 'jdatap'}, {'user_id': '118526360', 'username': 'jmcastagnetto'}]",
1196549824474210304,1196549824474210304,1574114683000,2019-11-18,17:04:43,EST,261631571,hendrikxleo,Leo,,"Day 18: Globe #30DayMapChallenge I like to play around with map projections in #Qgis  https://polemic.nz/2014/11/21/nz-azimuth-orthographic/ …
Data: Natural Earth Admin 0 countries pic.twitter.com/f7K2Xn1sx7",[],['https://polemic.nz/2014/11/21/nz-azimuth-orthographic/'],['https://pbs.twimg.com/media/EJr_txDWwAcbXat.jpg'],0,0,4,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/hendrikxleo/status/1196549824474210304,False,,0,,,,,,,"[{'user_id': '261631571', 'username': 'hendrikxleo'}]",
1196549776755625984,1190253562267340800,1574114672000,2019-11-18,17:04:32,EST,17242884,maartenzam,Maarten Lambrechts,,#30DayMapChallenge nr 18 (globe): How each of the 357 European airports is connected by commercial passenger flights  https://public.flourish.studio/visualisation/951260/embed … pic.twitter.com/rqwxxnSOAM,"['f_l_o_u_r_i_s_h', 'stad_antwerpen', 'hnshck', 'igeolise', 'runkeeper']",['https://public.flourish.studio/visualisation/951260/embed'],['https://pbs.twimg.com/media/EJr_m9fXYAE4vLF.jpg'],1,1,16,['#30daymapchallenge'],[],https://twitter.com/maartenzam/status/1196549776755625984,False,,0,,,,,,,"[{'user_id': '17242884', 'username': 'maartenzam'}, {'user_id': '733024864353845250', 'username': 'f_l_o_u_r_i_s_h'}, {'user_id': '172311731', 'username': 'Stad_Antwerpen'}, {'user_id': '2791282352', 'username': 'hnshck'}, {'user_id': '42653015', 'username': 'igeolise'}, {'user_id': '15445811', 'username': 'Runkeeper'}]",
1196545821090689026,1196545821090689026,1574113729000,2019-11-18,16:48:49,EST,992414114235473920,alidrisicarto,Alidrisi Cartografía,,"389 de los 2,458 municipios que conforman a México inician con San y Santa. El 72% son de Oaxaca. #30DayMapChallenge pic.twitter.com/GSA8Z4NGAj",[],[],['https://pbs.twimg.com/media/EJr8EzzXsAAEm2O.jpg'],0,21,41,['#30daymapchallenge'],[],https://twitter.com/alidrisicarto/status/1196545821090689026,False,,0,,,,,,,"[{'user_id': '992414114235473920', 'username': 'alidrisicarto'}]",
1196543996404781056,1196543996404781056,1574113294000,2019-11-18,16:41:34,EST,943165730953994240,danihelop15,Daniela Hernández López,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  http://dlvr.it/RJYZdX  pic.twitter.com/IFF42qo55B",[],['http://dlvr.it/RJYZdX'],['https://pbs.twimg.com/media/EJr6bEiUcAAwzSw.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/danihelop15/status/1196543996404781056,False,,0,,,,,,,"[{'user_id': '943165730953994240', 'username': 'danihelop15'}]",
1196543996404723712,1196543996404723712,1574113294000,2019-11-18,16:41:34,EST,941025427358752768,gabrlir,Gabriel Hernánez Lira,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  http://dlvr.it/RJYZdd  pic.twitter.com/C90eRUtBpH",[],['http://dlvr.it/RJYZdd'],['https://pbs.twimg.com/media/EJr6bFxUcAAMoDz.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/gabrlir/status/1196543996404723712,False,,0,,,,,,,"[{'user_id': '941025427358752768', 'username': 'gabrlir'}]",
1196542663899729921,1190475062362677248,1574112976000,2019-11-18,16:36:16,EST,379176102,daniel_isita,D.,,"17. Zones
#30DayMapChallenge

Agricultural zones in Mexico. Data from @INEGI_INFORMA
#QGIS #Map #Mexico #Agriculture pic.twitter.com/VJ5jVzBFei","['inegi_informa', 'tjukanov', 'datavizero', 'conapo_mx', 'maratonlala', 'zoeperegrina']",[],['https://pbs.twimg.com/media/EJr5MkkXYAEqu0z.jpg'],1,2,7,"['#30daymapchallenge', '#qgis', '#map', '#mexico', '#agriculture']",[],https://twitter.com/daniel_isita/status/1196542663899729921,False,,0,,,,,,,"[{'user_id': '379176102', 'username': 'daniel_isita'}, {'user_id': '94443745', 'username': 'INEGI_INFORMA'}, {'user_id': '2198358416', 'username': 'tjukanov'}, {'user_id': '2362998974', 'username': 'datavizero'}, {'user_id': '432923985', 'username': 'CONAPO_mx'}, {'user_id': '394851482', 'username': 'MaratonLala'}, {'user_id': '133401721', 'username': 'zoeperegrina'}]",
1196542651811676165,1196542651811676165,1574112973000,2019-11-18,16:36:13,EST,34737662,positium,Positium,,"Day 18 of the #30DayMapChallenge (globe):
Data on the balance of payments of Estonia from the Bank of Estonia in 2016, where each moving point represents 10 million EUR.
#balanceofpayments #globe pic.twitter.com/lLWocgC9xJ",[],[],[],0,1,12,"['#30daymapchallenge', '#balanceofpayments', '#globe']",[],https://twitter.com/positium/status/1196542651811676165,False,,1,,,,,,,"[{'user_id': '34737662', 'username': 'positium'}]",
1196542428531965952,1196542428531965952,1574112920000,2019-11-18,16:35:20,EST,515934802,kwssandiego,Kyle W. Smith,,"For #30DayMapChallenge day 18-globe I went with the world's most popular sport with an estimated 4 billion fans.

Confederation by country in a printable football projection.  Feel free to print, wrap, and play. pic.twitter.com/XkaqUJzlMc",[],[],['https://pbs.twimg.com/media/EJr4_nIU8AAgUKp.jpg'],0,4,20,['#30daymapchallenge'],[],https://twitter.com/kwsSanDiego/status/1196542428531965952,False,,0,,,,,,,"[{'user_id': '515934802', 'username': 'kwsSanDiego'}]",
1196537814554464257,1196537814554464257,1574111820000,2019-11-18,16:17:00,EST,800447204020219904,kim_fitter,Kim Fitter,,"Day 15 names theme #30DayMapChallenge using #rstats

The longest bike trail in NZ. Extra challenge involving regex which took much longer than planned. Could also pass for Day 2 lines theme pic.twitter.com/idEmzMfd3j",[],[],['https://pbs.twimg.com/media/EJkB38wUEAEj8Qo.png'],1,1,1,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/Kim_Fitter/status/1196537814554464257,False,,0,,,,,,,"[{'user_id': '800447204020219904', 'username': 'Kim_Fitter'}]",
1196536147901476864,1196536147901476864,1574111422000,2019-11-18,16:10:22,EST,14806596,aschiff,Aaron Schiff,,"Day 19 of #30DayMapChallenge - urban: Change in Auckland population density, 2018 census vs 2006. Code:  https://github.com/aaronschiff/30-day-map-challenge/blob/master/19-urban.R … pic.twitter.com/is4Cz3IVqA",[],['https://github.com/aaronschiff/30-day-map-challenge/blob/master/19-urban.R'],['https://pbs.twimg.com/media/EJrzRpZU8AAWiaR.jpg'],0,0,4,['#30daymapchallenge'],[],https://twitter.com/aschiff/status/1196536147901476864,False,,0,,,,,,,"[{'user_id': '14806596', 'username': 'aschiff'}]",
1196535276061020160,1196535276061020160,1574111215000,2019-11-18,16:06:55,EST,437801734,blanky343,Antonia Blankenberg,,"Day 18 of the #30DayMapChallenge is a view of global temperatures under #RCP 4.5, whereby emissions peak at 2040 and decline thereafter. pic.twitter.com/dbQpttzCis",[],[],[],0,2,7,"['#30daymapchallenge', '#rcp']",[],https://twitter.com/blanky343/status/1196535276061020160,False,,1,,,,,,,"[{'user_id': '437801734', 'username': 'blanky343'}]",
1196531968625795075,1196531968625795075,1574110426000,2019-11-18,15:53:46,EST,14992557,gontsa,gontsa,,"World Stereographic. EPSG:54026
#30DayMapChallenge
Day 18: Globe
Data: Natural Earth Data v.4 #QGIS pic.twitter.com/DYP041iopb",[],[],['https://pbs.twimg.com/media/EJrvd01XYAE95DU.jpg'],0,3,30,"['#30daymapchallenge', '#qgis']",[],https://twitter.com/gontsa/status/1196531968625795075,False,,0,,,,,,,"[{'user_id': '14992557', 'username': 'gontsa'}]",
1196530786385768448,1196530786385768448,1574110144000,2019-11-18,15:49:04,EST,297915370,ruth_mottram,Ruth Mottram,,"A helpful teaching tool I think  - I remember finding it really hard to understand projections as an undergrad...

#30DayMapChallenge https://twitter.com/CedScherer/status/1196516390896914432 …",[],['https://twitter.com/CedScherer/status/1196516390896914432'],[],2,1,4,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1196530786385768448,False,https://twitter.com/CedScherer/status/1196516390896914432,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1196530293102063616,1196530293102063616,1574110026000,2019-11-18,15:47:06,EST,297915370,ruth_mottram,Ruth Mottram,,"I love these ring of fire #dataviz for #30DayMapChallenge there's been a few already but they are so spectacular, the earth looks alien https://twitter.com/stevefaeembra/status/1196518855713140737 …",[],['https://twitter.com/stevefaeembra/status/1196518855713140737'],[],0,2,3,"['#dataviz', '#30daymapchallenge']",[],https://twitter.com/ruth_mottram/status/1196530293102063616,False,https://twitter.com/stevefaeembra/status/1196518855713140737,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1196530080576671749,1196530080576671749,1574109976000,2019-11-18,15:46:16,EST,297915370,ruth_mottram,Ruth Mottram,,"Hmm, this makes me think of gin and tonic for some reason.
A #30DayMapChallenge we can all get behind... https://twitter.com/ThomasG77/status/1196518998365626372 …",[],['https://twitter.com/ThomasG77/status/1196518998365626372'],[],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ruth_mottram/status/1196530080576671749,False,https://twitter.com/ThomasG77/status/1196518998365626372,0,,,,,,,"[{'user_id': '297915370', 'username': 'ruth_mottram'}]",
1196529207221850116,1193430866401230849,1574109768000,2019-11-18,15:42:48,EST,876603908,vanopendata,Vancouver Open Data,,"Thanks for your love and interest on our new open data portal and to use several of our open datasets for the #30DayMapChallenge.
I am loving this challenge and your #rstats addiction.  ^LL",['chisatini'],[],[],0,1,1,"['#30daymapchallenge', '#rstats']",[],https://twitter.com/VanOpenData/status/1196529207221850116,False,,0,,,,,,,"[{'user_id': '876603908', 'username': 'VanOpenData'}, {'user_id': '799835587104514048', 'username': 'chisatini'}]",
1196525604163719173,1196525604163719173,1574108909000,2019-11-18,15:28:29,EST,2380934868,juanizio_c,Juanizio Correa,,"#30DayMapChallenge

Day 18: Globe
Several citizens of the globe have chosen Santiago as their new home. Where do they live?

Diversos ciudadanos del globo han elegido Santiago como su nuevo hogar. Donde viven?

Data from @INE_Chile pic.twitter.com/QnXCw2hcrD",['ine_chile'],[],['https://pbs.twimg.com/media/EJrprpwW4AAznIQ.png'],8,27,82,['#30daymapchallenge'],[],https://twitter.com/Juanizio_C/status/1196525604163719173,False,,0,,,,,,,"[{'user_id': '2380934868', 'username': 'Juanizio_C'}, {'user_id': '138048178', 'username': 'INE_Chile'}, {'user_id': '396796970', 'username': 'SJMChile'}, {'user_id': '939106239627382788', 'username': 'Chumisj'}]",
1196519442206904320,1196519442206904320,1574107439000,2019-11-18,15:03:59,EST,3092381638,cedscherer,Cédric Scherer,,"Wow, @FrankJacobs turned my #TidyTuesday and #30DayMapChallenge contributions about #diversity in American #schools in a wonderful blog post - give it a read! 🎉 https://twitter.com/FrankJacobs/status/1196502464171786243 …",['frankjacobs'],['https://twitter.com/FrankJacobs/status/1196502464171786243'],[],0,4,9,"['#tidytuesday', '#30daymapchallenge', '#diversity', '#schools']",[],https://twitter.com/CedScherer/status/1196519442206904320,False,https://twitter.com/FrankJacobs/status/1196502464171786243,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}, {'user_id': '19516053', 'username': 'FrankJacobs'}]",
1196519323616964609,1196519323616964609,1574107411000,2019-11-18,15:03:31,EST,1020137956869222401,southarrowmaps,Andrew Tyrrell,,"Day 19 of #30DayMapChallenge – Urban:

Auckland's Urban Routes and Motorways pic.twitter.com/riVM6CeL43",[],[],['https://pbs.twimg.com/media/EJrj-ZbUwAAPxdi.jpg'],1,2,26,['#30daymapchallenge'],[],https://twitter.com/SouthArrowMaps/status/1196519323616964609,False,,0,,,,,,,"[{'user_id': '1020137956869222401', 'username': 'SouthArrowMaps'}]",
1196518998365626372,1196518998365626372,1574107334000,2019-11-18,15:02:14,EST,82467442,thomasg77,Thomas gratier,,"Day 9 yellow ""Production mondiale de citrons et limes en 2017"" (World lemons production in 2017) Utilisé la projection Gall Peter plutôt que Equal Earth (bug...)
2 install QGIS: système: pas Equal Earth; conda oui mais bug insertion HTML pour table #30DayMapChallenge pic.twitter.com/55VBMOkthm",[],[],['https://pbs.twimg.com/media/EJriV4OXYAYPqiY.jpg'],0,0,1,['#30daymapchallenge'],[],https://twitter.com/ThomasG77/status/1196518998365626372,False,,0,,,,,,,"[{'user_id': '82467442', 'username': 'ThomasG77'}]",
1196518855713140737,1196518855713140737,1574107300000,2019-11-18,15:01:40,EST,363276700,stevefaeembra,Steven Kay,,"#30DayMapChallenge day 18. Globe. Volcanic ring of fire. Done using #qgis and #b3d using Eevee and Bloom, still from an animation pic.twitter.com/RzJLRQtxep",[],[],['https://pbs.twimg.com/media/EJrjiPlWoAAvKxB.png'],2,2,25,"['#30daymapchallenge', '#qgis', '#b3d']",[],https://twitter.com/stevefaeembra/status/1196518855713140737,False,,0,,,,,,,"[{'user_id': '363276700', 'username': 'stevefaeembra'}]",
1196518448647458816,1196518448647458816,1574107203000,2019-11-18,15:00:03,EST,2239825712,iiegj,IIEG Jalisco,,"#30DayMapChallenge Día 18. Global. Gobiernos subnacionales en el mundo. Los países con mayor número de gobiernos subnacionales son: Gran Bretaña (232), Eslovenia (193), Letonia (119), Filipinas (118) y Uganda (112); México está en el lugar 30 junto con Indonesia. pic.twitter.com/l2EzXssIqD",[],[],['https://pbs.twimg.com/media/EJrjLzOUcAA9Yoe.jpg'],0,2,6,['#30daymapchallenge'],[],https://twitter.com/IIEGJ/status/1196518448647458816,False,,0,,,,,,,"[{'user_id': '2239825712', 'username': 'IIEGJ'}]",
1196517340915150852,1196517340915150852,1574106938000,2019-11-18,14:55:38,EST,14130929,ttso,Tuija Sonkkila,,"#30DayMapChallenge Day 18: Globe. The Big One, and the one in Stockholm a.k.a Ericsson Globe  https://en.wikipedia.org/wiki/Ericsson_Globe …. All the code of  https://github.com/tts/mapchallenge/blob/master/globe.R … thanks to  https://stackoverflow.com/a/43278961  by @espinielli except for the tiny magenta dot. #ggplot #sf #rnaturalearth pic.twitter.com/oBspj0jldr",['espinielli'],"['https://en.wikipedia.org/wiki/Ericsson_Globe', 'https://github.com/tts/mapchallenge/blob/master/globe.R', 'https://stackoverflow.com/a/43278961']",['https://pbs.twimg.com/media/EJreWwkWsAAb62N.jpg'],0,0,2,"['#30daymapchallenge', '#ggplot', '#sf', '#rnaturalearth']",[],https://twitter.com/ttso/status/1196517340915150852,False,,0,,,,,,,"[{'user_id': '14130929', 'username': 'ttso'}, {'user_id': '15834260', 'username': 'espinielli'}]",
1196516390896914432,1196516390896914432,1574106712000,2019-11-18,14:51:52,EST,3092381638,cedscherer,Cédric Scherer,,"Not much creativity and not much time for #30DayMapChallenge Day 18: Globe 🌍
Three different types of projections and two examples for each, all done in #ggplot2 #rstats. The globe is a matter of perspective and geometry in 2D 🤷‍♂️ pic.twitter.com/w9lz1cSV8K",[],[],['https://pbs.twimg.com/media/EJrhTk0XsAASm9k.jpg'],1,5,16,"['#30daymapchallenge', '#ggplot2', '#rstats']",[],https://twitter.com/CedScherer/status/1196516390896914432,False,,0,,,,,,,"[{'user_id': '3092381638', 'username': 'CedScherer'}]",
1196513279365001217,1196513279365001217,1574105970000,2019-11-18,14:39:30,EST,2591404608,thomashurtut,Thomas Hurtut,,I cannot post that under the #30DayMapChallenge but this is an interesting 1928 passenger circulation map of the Berlin subway network. Taken from the great « history of information graphics » book from @srendgen pic.twitter.com/NzpaGw15is,['srendgen'],[],['https://pbs.twimg.com/media/EJree9UWkAEVLR7.jpg'],0,1,7,['#30daymapchallenge'],[],https://twitter.com/ThomasHurtut/status/1196513279365001217,False,,0,,,,,,,"[{'user_id': '2591404608', 'username': 'ThomasHurtut'}, {'user_id': '148871804', 'username': 'srendgen'}]",
1196510833033064448,1196510833033064448,1574105387000,2019-11-18,14:29:47,EST,106197238,vetlehallas,Vetle Riis Hallås 🚡,,Slår sammen gårsdagens tema (soner) med dagens tema (globe) for å vise utvalgte tidssoner på en litt annerledes måte #30DayMapChallenge #ukenskart pic.twitter.com/HXKAPBeZJM,[],[],['https://pbs.twimg.com/media/EJrcQAuW4AMUBHf.jpg'],2,0,6,"['#30daymapchallenge', '#ukenskart']",[],https://twitter.com/VetleHallas/status/1196510833033064448,False,,0,,,,,,,"[{'user_id': '106197238', 'username': 'VetleHallas'}]",
1196505292093059072,1196505292093059072,1574104066000,2019-11-18,14:07:46,EST,12306,zentree,Luis Apiolaza ⏚,,"Day 19 of #30DayMapChallenge: urban

Christchurch (and surrounding areas) wastewater network in brown, water treatment plant in yellow.

Data from LINZ and Canterbury Maps  http://opendata.canterburymaps.govt.nz/datasets/waste-water …

Code:  https://gist.github.com/zentree/3ac898171d5c6b40ba66fbcaecfa32bf … pic.twitter.com/Jgsz1dEcHX",[],"['http://opendata.canterburymaps.govt.nz/datasets/waste-water', 'https://gist.github.com/zentree/3ac898171d5c6b40ba66fbcaecfa32bf']",['https://pbs.twimg.com/media/EJrXNh-U4AEzU-l.jpg'],0,0,6,['#30daymapchallenge'],[],https://twitter.com/zentree/status/1196505292093059072,False,,0,,,,,,,"[{'user_id': '12306', 'username': 'zentree'}]",
1196493174048346112,1196493174048346112,1574101177000,2019-11-18,13:19:37,EST,21155434,jwgoldsmith,Jeremy W. Goldsmith,,Handmade Carto-Pyrography #30DayMapChallenge #Day18 #Globe #globemaker #CassiniProj #epsg_9806 #transverse_cylindrical #largescale #north_south_extent pic.twitter.com/B692DJ2Ndf,[],[],['https://pbs.twimg.com/media/EJrMMghUYAAmdyr.jpg'],0,0,16,"['#30daymapchallenge', '#day18', '#globe', '#globemaker', '#cassiniproj', '#epsg_9806', '#transverse_cylindrical', '#largescale', '#north_south_extent']",[],https://twitter.com/JWGoldsmith/status/1196493174048346112,False,,0,,,,,,,"[{'user_id': '21155434', 'username': 'JWGoldsmith'}]",
1196491259466207237,1196491259466207237,1574100720000,2019-11-18,13:12:00,EST,58702976,marifeeer,Mafer Rodríguez,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ … via @pajaropolitico",['pajaropolitico'],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,1,4,['#30daymapchallenge'],[],https://twitter.com/Marifeeer/status/1196491259466207237,False,,0,,,,,,,"[{'user_id': '58702976', 'username': 'Marifeeer'}, {'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196490259929763840,1196490259929763840,1574100482000,2019-11-18,13:08:02,EST,712708230669963264,mau_mendozax,Pedro Pimentel,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  http://dlvr.it/RJXzs9  pic.twitter.com/0itSpdvWWX",[],['http://dlvr.it/RJXzs9'],['https://pbs.twimg.com/media/EJrJjNzUYAAwLCF.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/Mau_Mendozax/status/1196490259929763840,False,,0,,,,,,,"[{'user_id': '712708230669963264', 'username': 'Mau_Mendozax'}]",
1196488916162863108,1196488916162863108,1574100161000,2019-11-18,13:02:41,EST,886193556,allisoncully,Allison Cully,,"Day 17: Zones
I often get sucked into a very academic mindset which really kills my creativity and get quite stuck when an idea lacks purpose. So here is my most impractical map ever, Berghaus Star projection of the world’s time zones in mixed media PS brushes
#30DayMapChallenge pic.twitter.com/IpCk6fhWPi",[],[],['https://pbs.twimg.com/media/EJrIUZ7UYAAFNMY.jpg'],1,3,62,['#30daymapchallenge'],[],https://twitter.com/AllisonCully/status/1196488916162863108,False,,0,,,,,,,"[{'user_id': '886193556', 'username': 'AllisonCully'}]",
1196488253416890369,1196488253416890369,1574100003000,2019-11-18,13:00:03,EST,27186708,jccpmx,Carlos Cortés,,"Sentido de las Calles con Límite CdMx-EdoMex
#30DayMapChallenge Boundaries pic.twitter.com/D6dav7afcT",[],[],['https://pbs.twimg.com/media/EJrHuHMXYAAhM6R.jpg'],0,0,2,['#30daymapchallenge'],[],https://twitter.com/jccpmx/status/1196488253416890369,False,,0,,,,,,,"[{'user_id': '27186708', 'username': 'jccpmx'}]",
1196486514169065478,1196486514169065478,1574099589000,2019-11-18,12:53:09,EST,333524694,crvanpollard,Christopher Pollard,,"#30DayMapChallenge
Day 17: Globes - Atlantic Puffin
@MovebankTeam has some incredibly useful and informative animal movement data. My daughter wanted to research where puffins live and their migratory range. Definitely going to revisit this map and data in the future. pic.twitter.com/ZOzBkuUN2s",['movebankteam'],[],['https://pbs.twimg.com/media/EJrGIzkXUAEN-ws.jpg'],4,12,64,['#30daymapchallenge'],[],https://twitter.com/CRVanPollard/status/1196486514169065478,False,,0,,,,,,,"[{'user_id': '333524694', 'username': 'CRVanPollard'}, {'user_id': '4835232609', 'username': 'MovebankTeam'}]",
1196486270307983370,1196486270307983370,1574099531000,2019-11-18,12:52:11,EST,892006500,lacxrx,Romain Lx,,"#30DayMapChallenge 18. Globe

As I have no time for making a map today, here is an old world map of agricultural crops (Schrader, Prudent and Anthoine, 1904) pic.twitter.com/qRczaoOVMp",[],[],['https://pbs.twimg.com/media/EJrFyyTWwAEJCs6.jpg'],1,0,8,['#30daymapchallenge'],[],https://twitter.com/lacxrx/status/1196486270307983370,False,,0,,,,,,,"[{'user_id': '892006500', 'username': 'lacxrx'}]",
1196485129071407110,1196485129071407110,1574099259000,2019-11-18,12:47:39,EST,75732594,joseacontreras,Jose A Contreras,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  http://www.joseacontreras.net/blog/issemym/2019/11/18/30daymapchallenge-taquerias-museos-violencia-los-mapas-sobre-mexico-en-un-reto-global/ … pic.twitter.com/0yE1aAyITU",[],['http://www.joseacontreras.net/blog/issemym/2019/11/18/30daymapchallenge-taquerias-museos-violencia-los-mapas-sobre-mexico-en-un-reto-global/'],['https://pbs.twimg.com/media/EJrE4keW4AA7H9R.jpg'],0,0,0,['#30daymapchallenge'],[],https://twitter.com/joseacontreras/status/1196485129071407110,False,,0,,,,,,,"[{'user_id': '75732594', 'username': 'joseacontreras'}]",
1196478321170665474,1196478321170665474,1574097635000,2019-11-18,12:20:35,EST,132576385,buhopalido,Brenda Caro Cocotle,,"#30DayMapChallenge: Taquerías, museos, violencia, los mapas sobre México en un reto global  https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ … vía @pajaropolitico",['pajaropolitico'],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,0,0,['#30daymapchallenge'],[],https://twitter.com/buhopalido/status/1196478321170665474,False,,0,,,,,,,"[{'user_id': '132576385', 'username': 'buhopalido'}, {'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196475153946959872,1196475153946959872,1574096880000,2019-11-18,12:08:00,EST,84613584,pajaropolitico,AnimalPolitico.com,,"Mapas tan diversos como las especies de aves en Atenas, las zonas sísmicas de Francia o la ubicación de puestos de tacos en México, son algunos ejemplos que ha dejado el #30DayMapChallenge. https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/ …",[],['https://www.animalpolitico.com/2019/11/reto-mundial-mapas-mexico/'],[],0,3,19,['#30daymapchallenge'],[],https://twitter.com/Pajaropolitico/status/1196475153946959872,False,,0,,,,,,,"[{'user_id': '84613584', 'username': 'Pajaropolitico'}]",
1196472370413879296,1196472370413879296,1574096217000,2019-11-18,11:56:57,EST,400903620,nadiiagorash,Nadiia,,#30DayMapChallenge Day 16: Places a #leavingmap  for @sgmillinery showing places with hats or heads in their