Convert many data formats to & from GeoJSON & TopoJSON
R JavaScript Makefile
Latest commit 7bf12f4 Jan 20, 2017 @sckott sckott committed on GitHub Merge pull request #102 from ropensci/crs-convert
Add option to convert to WGS84

README.md

geojsonio

Build Status codecov.io rstudio mirror downloads cran version

Convert various data formats to geoJSON or topoJSON

This package is a utility to convert geographic data to geojson and topojson formats. Nothing else. We hope to do this one job very well, and handle all reasonable use cases.

Functions in this package are organized first around what you're working with or want to get, geojson or topojson, then convert to or read from various formats:

  • geojson_list() - convert to geojson as R list format
  • geojson_json() - convert to geojson as json
  • geojson_sp() - convert output of geojson_list() or geojson_json() to spatial objects
  • geojson_read()/topojson_read() - read a geojson/topojson file from file path or URL
  • geojson_write() - write a geojson file locally (topojson coming later)

Each of the above functions have methods for various objects/classes, including numeric, data.frame, list, SpatialPolygons, SpatialLines, SpatialPoints, etc.

Additional functions:

  • map_gist() - push up a geojson or topojson file as a GitHub gist (renders as an interactive map)
  • map_leaf() - create a local interactive map using the leaflet package

*json Info

Install

A note about installing rgdal and rgeos - these two packages are built on top of C libraries, and their installation often causes trouble for Mac and Linux users because no binaries are provided on CRAN for those platforms. Other dependencies in geojsonio should install easily automatically when you install geojsonio. Change to the version of rgdal and GDAL you have):

Mac

Install GDAL on the command line first, e.g., using homebrew

brew install gdal

Then install rgdal and rgeos

install.packages("rgdal", type = "source", configure.args = "--with-gdal-config=/Library/Frameworks/GDAL.framework/Versions/1.11/unix/bin/gdal-config --with-proj-include=/Library/Frameworks/PROJ.framework/unix/include --with-proj-lib=/Library/Frameworks/PROJ.framework/unix/lib")
install.packages("rgeos", type = "source")

Linux

Get deps first

sudo apt-get install libgdal1-dev libgdal-dev libgeos-c1 libproj-dev

Then install rgdal and rgeos

install.packages("rgdal", type = "source")
install.packages("rgeos", type = "source")

Install geojsonio

Stable version from CRAN

install.packages("geojsonio")

Or development version from GitHub

install.packages("devtools")
devtools::install_github("ropensci/geojsonio")
library("geojsonio")

GeoJSON

Convert various formats to geojson

From a numeric vector of length 2, as json or list

geojson_json(c(32.45, -99.74))
#> {"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Point","coordinates":[32.45,-99.74]},"properties":{}}]}
geojson_list(c(32.45, -99.74))
#> $type
#> [1] "FeatureCollection"
#> 
#> $features
#> $features[[1]]
#> $features[[1]]$type
#> [1] "Feature"
#> 
#> $features[[1]]$geometry
#> $features[[1]]$geometry$type
...

From a data.frame

library('maps')
data(us.cities)
geojson_json(us.cities[1:2, ], lat = 'lat', lon = 'long')
#> {"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Point","coordinates":[-99.74,32.45]},"properties":{"name":"Abilene TX","country.etc":"TX","pop":"113888","capital":"0"}},{"type":"Feature","geometry":{"type":"Point","coordinates":[-81.52,41.08]},"properties":{"name":"Akron OH","country.etc":"OH","pop":"206634","capital":"0"}}]}
geojson_list(us.cities[1:2, ], lat = 'lat', lon = 'long')
#> $type
#> [1] "FeatureCollection"
#> 
#> $features
#> $features[[1]]
#> $features[[1]]$type
#> [1] "Feature"
#> 
#> $features[[1]]$geometry
#> $features[[1]]$geometry$type
...

From SpatialPolygons class

library('sp')
poly1 <- Polygons(list(Polygon(cbind(c(-100, -90, -85, -100),
  c(40, 50, 45, 40)))), "1")
poly2 <- Polygons(list(Polygon(cbind(c(-90, -80, -75, -90),
  c(30, 40, 35, 30)))), "2")
sp_poly <- SpatialPolygons(list(poly1, poly2), 1:2)

to json

geojson_json(sp_poly)
#> {
#> "type": "FeatureCollection",
#>                                                                                 
#> "features": [
#> { "type": "Feature", "id": 1, "properties": { "dummy": 0.000000 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -100.0, 40.0 ], [ -90.0, 50.0 ], [ -85.0, 45.0 ], [ -100.0, 40.0 ] ] ] } },
#> { "type": "Feature", "id": 2, "properties": { "dummy": 0.000000 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -90.0, 30.0 ], [ -80.0, 40.0 ], [ -75.0, 35.0 ], [ -90.0, 30.0 ] ] ] } }
#> ]
#> }
#> 

to list

geojson_list(sp_poly)$features[[1]]
#> $type
#> [1] "Feature"
#> 
#> $id
#> [1] 1
#> 
#> $properties
#> $properties$dummy
#> [1] 0
#> 
...

Combine objects

geo_list + geo_list

Note: geo_list is the output type from geojson_list(), it's just a list with a class attached so we know it's geojson :)

vec <- c(-99.74, 32.45)
a <- geojson_list(vec)
vecs <- list(c(100.0, 0.0), c(101.0, 0.0), c(100.0, 0.0))
b <- geojson_list(vecs, geometry = "polygon")
a + b
#> $type
#> [1] "FeatureCollection"
#> 
#> $features
#> $features[[1]]
#> $features[[1]]$type
#> [1] "Feature"
#> 
#> $features[[1]]$geometry
#> $features[[1]]$geometry$type
...

json + json

c <- geojson_json(c(-99.74, 32.45))
vecs <- list(c(100.0, 0.0), c(101.0, 0.0), c(101.0, 1.0), c(100.0, 1.0), c(100.0, 0.0))
d <- geojson_json(vecs, geometry = "polygon")
c + d
#> {"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Point","coordinates":[-99.74,32.45]},"properties":{}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[100,0],[101,0],[101,1],[100,1],[100,0]]]},"properties":[]}]}

Write geojson

library('maps')
data(us.cities)
geojson_write(us.cities[1:2, ], lat = 'lat', lon = 'long')
#> <geojson>
#>   Path:       myfile.geojson
#>   From class: data.frame

Read geojson

file <- system.file("examples", "california.geojson", package = "geojsonio")
out <- geojson_read(file)

TopoJSON

Read topojson

TopoJSON

library("sp")
url <- "https://raw.githubusercontent.com/shawnbot/d3-cartogram/master/data/us-states.topojson"
out <- topojson_read(url, verbose = FALSE)
plot(out)

plot of chunk unnamed-chunk-18

Use case: Play with US states

Using data from https://github.com/glynnbird/usstatesgeojson

Get some geojson

library('httr')
res <- GET('https://api.github.com/repos/glynnbird/usstatesgeojson/contents')
st_names <- Filter(function(x) grepl("\\.geojson", x), sapply(content(res), "[[", "name"))
base <- 'https://raw.githubusercontent.com/glynnbird/usstatesgeojson/master/'
st_files <- paste0(base, st_names)

Make a faceted plot

library('ggplot2')
library('plyr')
st_use <- st_files[7:13]
geo <- lapply(st_use, geojson_read, method = "local", what = "sp")
df <- ldply(setNames(lapply(geo, fortify), gsub("\\.geojson", "", st_names[7:13])))
ggplot(df, aes(long, lat, group = group)) +
  geom_polygon() +
  facet_wrap(~.id, scales = "free")

plot of chunk unnamed-chunk-20

Okay, so the maps are not quite right (stretched to fit each panel), but you get the idea.

Meta

  • Please report any issues or bugs.
  • License: MIT
  • Get citation information for geojsonio in R doing citation(package = 'geojsonio')
  • Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

rofooter