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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)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.