Quickly converts between GeoJSON and sf objects
As per GeoJSON (RFC 7946
specification), foreign members are ignored, and nested objects and
arrays inside the properties object are converted to
string/characters.
library(geojsonsf)
# library(sf)You would also typically load library(sf) to take
advantange of its plot methods.
p <- '{"type":"Point","coordinates":[0,0]}'
sf <- geojson_sf(p)
head(sf)
#> geometry
#> 1 0, 0gc <- '{
"type": "GeometryCollection",
"geometries": [
{"type": "Point", "coordinates": [100.0, 0.0]},
{"type": "LineString", "coordinates": [[101.0, 0.0], [102.0, 1.0]]},
{"type" : "MultiPoint", "coordinates" : [[0,0], [1,1], [2,2]]}
]
}'
sf <- geojson_sf(gc)
head(sf)
#> geometry
#> 1 100, 0, 101, 102, 0, 1, 0, 1, 2, 0, 1, 2Some web-plotting libraries (such as googleway) can’t
plot GeometryCollections directly. Therefore, you can set
expand_geometries to TRUE and it will extract
each geometry from a GeometryCollection and create a row for each
one
gc <- '{
"type": "GeometryCollection",
"geometries": [
{"type": "Point", "coordinates": [100.0, 0.0]},
{"type": "LineString", "coordinates": [[101.0, 0.0], [102.0, 1.0]]},
{"type" : "MultiPoint", "coordinates" : [[0,0], [1,1], [2,2]]}
]
}'
sf <- geojson_sf(gc, expand_geometries = T)
head(sf)
#> geometry
#> 1 100, 0
#> 2 101, 102, 0, 1
#> 3 0, 1, 2, 0, 1, 2f <- '{
"type": "Feature",
"properties": {"id":1,"value":100,"text":"the quick brown fox"},
"geometry": {
"type": "LineString",
"coordinates": [[101.0, 0.0], [102.0, 1.0]]
}
}'
sf <- geojson_sf(f)
head(sf)
#> id value text geometry
#> 1 1 100 the quick brown fox 101, 102, 0, 1fc <- '{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {"foo" : "feature 1.1", "bar" : "feature 1.2"},
"geometry": {"type": "Point", "coordinates": [100.0, 0.0]}
},
{
"type": "Feature",
"properties": null,
"geometry": {"type": "LineString", "coordinates": [[101.0, 0.0], [102.0, 1.0]]}
},
{
"type": "Feature",
"properties": {"foo" : "feature 3.1", "bar" : "feature 3.2"},
"geometry": {"type": "LineString", "coordinates": [[101.0, 0.0], [102.0, 1.0]]}
}
]
}'
sf <- geojson_sf(fc)
head(sf)
#> foo bar geometry
#> 1 feature 1.1 feature 1.2 100, 0
#> 2 <NA> <NA> 101, 102, 0, 1
#> 3 feature 3.1 feature 3.2 101, 102, 0, 1geo <- c(p, gc, f, fc)
sf <- geojson_sf(geo)
head(sf)
#> id value text geometry
#> 1 NA NA <NA> 0, 0
#> 2 NA NA <NA> 100, 0, 101, 102, 0, 1, 0, 1, 2, 0, 1, 2
#> 3 1 100 the quick brown fox 101, 102, 0, 1
#> 4 NA NA <NA> 100, 0
#> 5 NA NA <NA> 101, 102, 0, 1
#> 6 NA NA <NA> 101, 102, 0, 1
#> foo bar
#> 1 <NA> <NA>
#> 2 <NA> <NA>
#> 3 <NA> <NA>
#> 4 feature 1.1 feature 1.2
#> 5 <NA> <NA>
#> 6 feature 3.1 feature 3.2
js <- '[
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": null,
"geometry": {"type": "Point", "coordinates": [100.0, 0.0]}
},
{
"type": "Feature",
"properties": null,
"geometry": {"type": "LineString", "coordinates": [[201.0, 0.0], [102.0, 1.0]]}
},
{
"type": "Feature",
"properties": null,
"geometry": {"type": "LineString", "coordinates": [[301.0, 0.0], [102.0, 1.0]]}
}
]
},
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": null,
"geometry": {"type": "Point", "coordinates": [100.0, 0.0]}
},
{
"type": "Feature",
"properties": null,
"geometry": {"type": "LineString", "coordinates": [[501.0, 0.0], [102.0, 1.0]]}
},
{
"type": "Feature",
"properties": null,
"geometry": {"type": "LineString", "coordinates": [[601.0, 0.0], [102.0, 1.0]]}
}
]
}
]'
sf <- geojson_sf(js)
head(sf)
#> geometry
#> 1 100, 0
#> 2 201, 102, 0, 1
#> 3 301, 102, 0, 1
#> 4 100, 0
#> 5 501, 102, 0, 1
#> 6 601, 102, 0, 1url <- "http://eric.clst.org/assets/wiki/uploads/Stuff/gz_2010_us_050_00_500k.json"
sf <- geojson_sf(url)
#head(sf)sf <- geojson_sf(system.file("examples", "geo_melbourne.geojson", package = "geojsonsf"))
head(sf)
#> SA2_NAME polygonId strokeColor SA3_NAME AREASQKM
#> 1 Abbotsford 70 #440154 Yarra 1.7405
#> 2 Albert Park 59 #450457 Port Phillip 4.6747
#> 3 Alphington - Fairfield 41 #46075A Darebin - South 2.8853
#> 4 Armadale 66 #460A5D Stonnington - West 2.1835
#> 5 Ascot Vale 44 #460C5F Essendon 3.8361
#> 6 Brunswick 36 #472D7B Brunswick - Coburg 5.1425
#> fillColor strokeWeight
#> 1 #440154 1
#> 2 #450457 1
#> 3 #46075A 1
#> 4 #460A5D 1
#> 5 #460C5F 1
#> 6 #472D7B 1
#> geometry
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substr(geo, 1, 80)
#> {"type":"FeatureCollection","features":[{"type":"Feature","properties":{"SA2_NAMSometimes it’s useful to convert each row of an sf
object into it’s own GeoJSON object, for example when you want to keep
each geometry separate in a database. Set atomise = TRUE to
return a vector of GeoJSON
geo <- sf_geojson(sf, atomise = T)now geo is a vector of GeoJSON
substr(geo[1], 1, 80)
#> [1] "{\"type\":\"Feature\",\"properties\":{\"SA2_NAME\":\"Abbotsford\",\"polygonId\":70.0,\"stroke"
substr(geo[2], 1, 80)
#> [1] "{\"type\":\"Feature\",\"properties\":{\"SA2_NAME\":\"Albert Park\",\"polygonId\":59.0,\"strok"It also converts GeoJSON to Well-Known Text and returns a
data.frame
fc <- '{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {"foo" : "feature 1.1", "bar" : "feature 1.2"},
"geometry": {"type": "Point", "coordinates": [100.0, 0.0]}
},
{
"type": "Feature",
"properties": null,
"geometry": {"type": "LineString", "coordinates": [[101.0, 0.0], [102.0, 1.0]]}
},
{
"type": "Feature",
"properties": {"foo" : "feature 3.1", "bar" : "feature 3.2"},
"geometry": {"type": "LineString", "coordinates": [[101.0, 0.0], [102.0, 1.0]]}
}
]
}'
df <- geojson_wkt(fc)
head(df)
#> foo bar geometry
#> 1 feature 1.1 feature 1.2 POINT (100 0)
#> 2 <NA> <NA> LINESTRING (101 0,102 1)
#> 3 feature 3.1 feature 3.2 LINESTRING (101 0,102 1)