zross

[{
  "id": 1,
  "sex_code": 1,
  "mortality_death_age": [{
    "mortality_death_age_id": 1,
    "death_age": "death_age_00",
    "death_num": "995"
  }, {
    "mortality_death_age_id": 2,
    "death_age": "death_age_01",

zross

[
      {
        "name": "Germany",
        "series": [
          {
            "name": "2010",
            "value": 7300000
          },
          {
            "name": "2011",

zross

[{
  "name": "death_age_95",
  "series": [{
    "name": "Females",
    "value": -6517
  }, {
    "name": "Males",
    "value": 1891
  }]
}, {

zross

[{
  "results": [{
    "name": "death_age_95",
    "series": [{
      "name": "Females",
      "value": 6517
    }, {
      "name": "Males",
      "value": 1891
    }]

zross

# Grab the list of spatial packages from the R Task View (Bivand)
# and get the count of monthly downloads

library(rvest)
library(dplyr)

spatial_task_view <- read_html("https://cran.r-project.org/web/views/Spatial.html")
res <- spatial_task_view %>% 
  html_nodes(xpath = "/html/body/ul[1]") %>% 
  html_children() %>% 

zross

# An example of spatial analysis with R that involves grabbing data
# from a PostGIS database, joining to tabular data, projecting
# simplifying and creating an interactive map.

# This data is publicly available but requires some processing
# if you want the county boundaries you can find them here:

# cftp://ftp2.census.gov/geo/tiger/TIGER2016/COUNTY/

# The tabular data requires some processing but the raw data

zross

• Eurostat, World Bank and others: https://ikashnitsky.github.io/2017/data-acquisition-two/
• Star Wars data: in dplyr, http://dplyr.tidyverse.org/reference/starwars.html
• Baby names data: babynames package, https://cran.r-project.org/web/packages/babynames/index.html
• Movies data: https://cran.r-project.org/web/packages/ggplot2movies/index.html ggplot2movies package
• Game of Thrones screen time: https://github.com/Preetish/GoT_screen_time
• Open Bike Data: https://github.com/ropensci/bikedata
• Tons of data through 538: https://cran.r-project.org/web/packages/fivethirtyeight/vignettes/fivethirtyeight.html
• Public health data England: fingertipsR, https://cran.r-project.org/web/packages/fingertipsR/
• Financial data via Quandl: https://www.quandl.com/tools/r
• Cyclones: https://github.com/ropensci/rrricanesdat

zross

# The idea I'm trying to test is if I can nest a parallel
# for loop inside another parallel for loop.

# The following does open up 4 cores with the first loop
# and opens an additional 3 cores with the second. I see
# seven running at one time, the four are turned off then
# 3 are turned off.

# I'm not sure if this is truly 7 parallel cores or if it's
# 4 then 3 sequentially.

zross

Suggestions from Twitter for more "elegant" web mapping applications

Specifically I'm looking for web mapping applications that include multiple layers and don't look like an ArcGIS clone -- perhaps something that looks like it was designed by a designer rather than a GIS tech :) This is a list of responses from Twitter, many of which do look GIS-y so more suggestions are welcome...

• https://zola.planning.nyc.gov/about#9.72/40.7125/-73.733
• http://www.censushardtocountmaps2020.us/
• http://historiccensus.longislandindexmaps.org/
• http://longislandindexmaps.org/
• http://dvrpc.org/mapping/webmaps
• http://dvrpc.org/webmaps/tod/

zross

body{
  color:red;
}