/*
Query for ALL fire stations and hydrants
//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png
//{s}.tile.openstreetmap.fr/hot/{z}/{x}/{y}.png
//tiles.wmflabs.org/bw-mapnik/{z}/{x}/{y}.png
//{s}.tile.stamen.com/toner/{z}/{x}/{y}.png
//toolserver.org/~cmarqu/hill/{z}/{x}/{y}.png
//a.tile2.opencyclemap.org/transport/{z}/{x}/{y}.png
We can make this file beautiful and searchable if this error is corrected: It looks like row 8 should actually have 32 columns, instead of 1. in line 7.
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ekip osmuser_uid osmuser_name changeset objects objects_c objects_m objects_d node_c way_c relation_c node_m way_m relation_m node_d way_d relation_d poi_total_nodes node_amenity node_shop node_office node_power node_place node_man_made node_history node_tourism node_leisure way_highway way_waterway way_building way_landuse way_man_made | |
0 900923 curran74 0 4053 3899 87 67 3216 683 0 82 5 0 60 7 0 0 0 0 0 0 0 0 0 0 0 11 4 663 1 0 | |
0 3089153 Sea Tea Zen 0 3656 3551 89 16 3132 419 0 67 22 0 15 1 0 0 0 0 0 0 0 0 0 0 0 0 23 383 12 0 | |
0 3556440 sch93 0 2006 1874 120 12 1550 324 0 108 12 0 9 3 0 0 0 0 0 0 0 0 0 0 0 3 12 307 0 0 | |
0 3556185 osmcr 0 1853 1846 7 0 1586 259 1 4 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 7 225 15 0 | |
0 3556439 Fdk Ville 0 1592 1433 99 60 1152 281 0 4 95 0 48 12 0 0 0 0 0 0 0 0 0 0 0 0 0 141 0 0 | |
0 3556479 Jofel Bayron 0 1884 1354 490 40 1284 70 0 428 62 0 40 0 0 0 0 0 0 0 0 0 0 0 0 6 14 24 18 0 | |
0 |
#Overpass Turbo Query
/* Overpass Turbo Query for edits made during mapathons, and similar mapping events. */
// set variables
{{dates="2016-02-22T00:00:00Z", "2016-02-25T23:59:59Z"}}
{{party=1041828}}
#Overpass Turbo query: for edits made during events, given a geographical area, and a list of OSM uids
[out:json]
[timeout:55];
{{dates="2016-02-23T00:00:00+8", "2016-03-07T00:00:00+8"}}
{{party=1041828}}
//union areas of study
There are several ways to query for modifications using OverPass, with slightly varying results. Use wisely.
##Using diffs
//Overpass QL for querying results
//http://overpass-turbo.eu/s/b6e
//[out:csv(::lat,::lon,::type, ::version, ::user, place,name)]
[diff:"2016-05-07T00:00:00+8","2016-05-14T00:00:00+8"];
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/* | |
This has been generated by the overpass-turbo wizard. | |
The original search was: | |
“route=bus” | |
*/ | |
[out:json][timeout:25]; | |
// gather results | |
( | |
// query part for: “route=bus” | |
node["route"="bus"]({{bbox}}); |
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[out:json]; | |
area[name~"Manila"]["admin_level"=6]->.a; | |
rel["admin_level"=7](area.a); | |
out geom; | |
{{style: | |
node { | |
width: 0; | |
opacity:0; | |
fill-opacity:0; |
Useful query for mapathon edits.
Original query: http://overpass-turbo.eu/s/eTp
/*
Overpass Turbo Query for edits made during mapathons, and similar activities.
*/
/**/
[out:csv(::user, ::uid)]
//[out:json][timeout:25]
[diff:"2016-02-22T00:00:00+8","2016-03-06T23:59:59+8"];
// adjust the search radius (in meters) here
{{radius=3000}}
#Overpass Turbo Query Count all buildings within a province.
See: http://overpass-turbo.eu/s/eKL
/*count buildings by province*/
[out:csv(::"type",::"id", name, admin_level,::"count")];