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geojsonio

Convert Data from and to 'GeoJSON' or 'TopoJSON'

Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.

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()/topojson_list() - convert to GeoJSON/TopoJSON as R list format
  • geojson_json()/topojson_json() - convert to GeoJSON/TopoJSON as JSON
  • geojson_sp() - convert output of geojson_list() or geojson_json() to sp spatial objects
  • geojson_sf() - convert output of geojson_list() or geojson_json() to sf objects
  • geojson_read()/topojson_read() - read a GeoJSON/TopoJSON file from file path or URL
  • geojson_write()/topojson_write() - write a GeoJSON/TopoJSON file locally

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

  • GeoJSON - spec

  • GeoJSON lint

  • TopoJSON - spec

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))
#> <FeatureCollection> 
#>   type:  FeatureCollection 
#>   no. features:  1 
#>   features (1st 5):  Point
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')
#> <FeatureCollection> 
#>   type:  FeatureCollection 
#>   no. features:  2 
#>   features (1st 5):  Point, Point
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)
#> <FeatureCollection> 
#>   type:  FeatureCollection 
#>   no. features:  2 
#>   features (1st 5):  Polygon, Polygon

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

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-file>
#>   Path:       myfile.geojson
#>   From class: data.frame

Read GeoJSON

file <- system.file("examples", "california.geojson", package = "geojsonio")
out <- geojson_read(file)
names(out)
#> [1] "type"     "crs"      "features"
names(out$features[[1]])
#> [1] "type"       "_id"        "properties" "geometry"

TopoJSON

to JSON

topojson_json(c(-99.74,32.45))
#> {"type":"Topology","objects":{"foo":{"type":"GeometryCollection","geometries":[{"type":"Point","coordinates":[-99.74,32.45]}]}},"arcs":[],"bbox":[-99.74,32.45,-99.74,32.45]}

to list

library(sp)
x <- c(1,2,3,4,5)
y <- c(3,2,5,1,4)
s <- SpatialPoints(cbind(x,y))
topojson_list(s)
#> $type
#> [1] "Topology"
#> 
#> $objects
#> $objects$foo
#> $objects$foo$type
#> [1] "GeometryCollection"
#> 
#> $objects$foo$geometries
#> $objects$foo$geometries[[1]]
#> $objects$foo$geometries[[1]]$type
#> [1] "Point"
#> 
#> $objects$foo$geometries[[1]]$coordinates
#> [1] 1 3
#> 
#> $objects$foo$geometries[[1]]$id
#> [1] 1
#> 
#> $objects$foo$geometries[[1]]$properties
...

Write TopoJSON

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

Read 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-21

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-23

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

GeoJSON <-> TopoJSON

geo2topo() and topo2geo()

x <- '{"type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}'
(topo_json <- geo2topo(x))
#> {"type":"Topology","objects":{"foo":{"type":"LineString","arcs":[0]}},"arcs":[[[100,0],[101,1]]],"bbox":[100,0,101,1]}
topo2geo(topo_json)
#> <FeatureCollection> 
#>   type:  FeatureCollection 
#>   no. features:  1 
#>   features (1st 5):  LineString

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.

News

geojsonio 0.6.0

NEW FEATURES

  • topojson_write() gains a new parameter object_name. With it you can set the name for the resulting TopoJSON object name created. As part of this geo2topo() also gains a new parameter, similarly called object_name, that does the same thing as for topojson_write(). (#129) (thanks @josiekre) PR (#131)
  • As part of PR (#132) we added a new function geojson_sf() to convert output of geojson_list() or geojson_json() to sf package classes - as an analog to geojson_sp()

MINOR IMPROVEMENTS

  • geojson_json() gains option with the type parameter to skip a coercion to the geojson package class geoclass. Using type = "skip" you can skip the geoclass class coercion, which in some cases with large datasets should have performance improvements (#128) PR (#133)

BUG FIXES

  • A bug arose in geojson_sp() with the newest version of rgdal. This was resolved by using the sf package instead to read GeoJSON. This had a knock-on benefit of speeding up reading GeoJSON. In addition, sf is now in Imports instead of Suggests (#130) PR (#132)

geojsonio 0.5.0

NEW FEATURES

  • gains new function geojson_atomize to "atomize" a FeatureCollection into its features, or a GeometryCollection into its geometries (#120) via (#119) thx @SymbolixAU
  • gains new functions topojson_list and topojson_json for converting many input types with spatial data to TopoJSON, both as lists and as JSON (#117)
  • geojson_json uses brief output provided by the geojson package - this makes it less frustrating when you have an especially large geojson string that prints to console - this instead prints a brief summary of the GeoJSON object (#86) (#124)

MINOR IMPROVEMENTS

  • doing a much more thorough job of cleaning up temp files that are necessarily generated due to having to go to disk sometimes (#122)
  • @ateucher made improvements to geojson_json to make type parameter more flexible (#125)

BUG FIXES

  • Fixe bug in topojson_write - we were writing topojson file, but also a geojson file - we now cleanup the geojson file (#127)

geojsonio 0.4.2

BUG FIXES

  • Fix package so that we load topojson-server.js from within the package instead of from the web. This makes it so that the package doesn’t make any web requests on load, which prevented package from loading when no internet connection available. (#118)

geojsonio 0.4.0

NEW FEATURES

  • Gains new functions geo2topo, topo2geo, topojson_write, and topojson_read for working with TopoJSON data - associated with this, we now import geojson package (#24) (#100)

MINOR IMPROVEMENTS

geojsonio 0.3.8

MINOR IMPROVEMENTS

  • geojson_write and geojson_json now pass ... argument through to rgdal::writeOGR or jsonlite::toJSON depending on the class/method. For those methods that use the latter, this now allows setting of the na argument to control how NA values are represented in json, and the pretty argument to control whether or the resulting json is pretty-formated or compact (#109) (#111)
  • Spelling/grammar fixes, thanks @patperu ! (#106)

BUG FIXES

  • geojson_json and geojson_write now convert unsupported classes to their basic class before conversion and/or writing to geojson. This was most commonly occurring with fields in sf objects calculated by sf::st_area and sf::st_length which were of class units. (#107)
  • Fixed a bug occurring with GDAL version >= 2.2.0 where the layer name in a geojson file was not detected properly (#108)

geojsonio 0.3.2

BUG FIXES

  • Fix to tests for internal fxn convert_wgs84 to do minimal test of output, and to conditionally test only if sf is available (#103)

geojsonio 0.3.0

NEW FEATURES

  • geojson_json, geojson_list, and geojson_write gain new S3 methods: sf, sfc, and sfg - the three classes in the sf package (#95)
  • geojson_json, geojson_list, and geojson_write gain two new parameters each: convert_wgs84 (boolean) to convert to WGS84 or not (the projection assumed for GeoJSON) and crs to assign a CRS if known (#101) (#102)

MINOR IMPROVEMENTS

  • geojson_json() for non-sp classes now only keeps seven decimal places in the coordinates. This follows the default that GDAL uses.
  • Now namespacing base package calls for methods/stats/utils instead of importing them
  • Improved documentation for method parameter in geojson_read clarifying what the options are for (#93) thanks @bhaskarvk
  • Internal fxn to_json now defaults to 7 digits, which is used in as.json and geojson_json (#96)

BUG FIXES

  • Fix to geojson_read to read correctly from a URL - in addition to file paths (#91) (#92) thanks @lecy
  • Fix to geojson_read to read non-.geojson extensions (#93) thanks @bhaskarvk

geojsonio 0.2.0

MINOR IMPROVEMENTS

  • Major performance improvement for geojson_json() - moved to reading in json with readr::read_file() (#85) thanks @javrucebo !
  • Now requiring explicit versions of some package dependencies
  • Removed the startup message

BUG FIXES

  • Changed file_to_geojson() to use httr::write_disk() instead of download.file() (#83) thanks @patperu

DEPRECATED AND DEFUNCT

  • The two linting functions in this package, lint() and validate() are now deprecated, and will be defunct in the next version of this package. See the new package geojsonlint on CRAN for linting geojson functionality (#82)

geojsonio 0.1.8

NEW FEATURES

  • New method geojson_sp.json() added to geojson_sp() to handle json class inputs

MINOR IMPROVEMENTS

  • Added encodin="UTF-8" to httr::content() calls

BUG FIXES

  • geojson_write() didn't overwrite existing files despite saying so. New parameter added to the function overwrite to specify whether to overwrite a function or not, which defaults to TRUE (#81) thanks @Robinlovelace !

geojsonio 0.1.6

NEW FEATURES

  • New function geojson_sp() to convert output of geojson_list() or geojson_json() to spatial classes (e.g., SpatialPointsDataFrame) (#71)

MINOR IMPROVEMENTS

  • Startup message added to notify users to ideally update to rgdal > v1.1-1 given fix to make writing multipolygon objects to geojson correct (#69)
  • Filled out test suite more (#46)

BUG FIXES

  • Fix to lint() function, due to bug in passing data to the Javascript layer (#73)
  • Fixes to as.json() (#76)

geojsonio 0.1.4

NEW FEATURES

  • New function map_leaf() uses the leaflet package to make maps, with S3 methods for most spatial classes as well as most R classes, including data.frame's, lists, vectors, file inputs, and more (#48)
  • geojson_read() now optionally can give back a spatial class object, just a convenience in case you want to not get back geojson, but a spatial class (#60)

MINOR IMPROVEMENTS

  • Now that leaflet R package is on CRAN, put back in examples using it to make maps (#49)
  • Added a linter for list inputs comined with geometry="polygon" to all geojson_*() functions that have .list methods. This checks to make sure inputs have the same first and last coordinate pairs to close the polygon (#34)

BUG FIXES

  • Importing all non-base R funtions, including from methods, stats and utils packages (#62)
  • Fixed bug in geojson_write() in which geojson style names were altered on accident (#56)

geojsonio 0.1.0

NEW FEATURES

  • released to CRAN

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("geojsonio")

0.6.0 by Scott Chamberlain, a year ago

https://github.com/ropensci/geojsonio

Report a bug at https://github.com/ropensci/geojsonio/issues

Browse source code at https://github.com/cran/geojsonio

Authors: Scott Chamberlain [aut, cre] , Andy Teucher [aut]

Documentation:   PDF Manual  

Task views: Analysis of Spatial Data

MIT + file LICENSE license

Imports methods, sp, sf, rgdal, rgeos, httr, maptools, jsonlite, magrittr, readr, V8, geojson, jqr

Suggests gistr, testthat, knitr, leaflet

Enhances RColorBrewer

Imported by MazamaSpatialUtils, antaresViz, fingertipscharts, rmapshaper, rmapzen.

Depended on by webglobe.

Suggested by echarts4r, fhidata, mregions.

Enhanced by lawn, leafpm, mapedit, repr.

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