Type:	Package
Title:	Classes for 'GeoJSON'
Description:	Classes for 'GeoJSON' to make working with 'GeoJSON' easier. Includes S3 classes for 'GeoJSON' classes with brief summary output, and a few methods such as extracting and adding bounding boxes, properties, and coordinate reference systems; working with newline delimited 'GeoJSON'; and serializing to/from 'Geobuf' binary 'GeoJSON' format.
Version:	0.3.5
License:	MIT + file LICENSE
URL:	https://docs.ropensci.org/geojson/, https://github.com/ropensci/geojson
BugReports:	https://github.com/ropensci/geojson/issues
LazyData:	true
VignetteBuilder:	knitr
Encoding:	UTF-8
Imports:	methods, sp, jsonlite (≥ 1.6), protolite (≥ 1.8), jqr (≥ 1.1.0), magrittr, lazyeval
Suggests:	tibble, testthat, knitr, rmarkdown, sf, stringi, covr
X-schema.org-applicationCategory:	Geospatial
X-schema.org-keywords:	geojson, geospatial, conversion, data, input-output, bbox, polygon, geobuf
X-schema.org-isPartOf:	https://ropensci.org
RoxygenNote:	7.2.3
NeedsCompilation:	no
Packaged:	2023-07-25 03:38:39 UTC; mdsumner
Author:	Scott Chamberlain [aut], Jeroen Ooms [aut], Michael Sumner [cre]
Maintainer:	Michael Sumner <mdsumner@gmail.com>
Repository:	CRAN
Date/Publication:	2023-08-08 12:40:02 UTC

geojson

Description

Classes for GeoJSON to make working with GeoJSON easier

Package API

GeoJSON objects:

• feature - Feature

• featurecollection - FeatureCollection

• geometrycollection - GeometryCollection

• linestring - LineString

• multilinestring - MultiLineString

• multipoint - MultiPoint

• multipolygon - MultiPolygon

• point - Point

• polygon - Polygon

The above are assigned two classes. All of them are class geojson, but also have a class name that is geo plus the name of the geometry, e.g., geopolygon for polygon.

GeoJSON properties:

• properties_add, properties_get - Add or get properties

• crs_add, crs_get - Add or get CRS

• bbox_add, bbox_get - Add or get bounding box

GeoJSON operations:

• geo_bbox - calculate a bounding box for any GeoJSON object

• geo_pretty - pretty print any GeoJSON object

• geo_type - get the object type for any GeoJSON object

• geo_write - easily write any GeoJSON to a file

• More complete GeoJSON operations are provdied in the package geoops

GeoJSON/Geobuf serialization:

• from_geobuf - Geobuf to GeoJSON

• to_geobuf - GeoJSON to Geobuf

• Check out https://github.com/mapbox/geobuf for inormation on the Geobuf format

Coordinate Reference System

According to RFC 7946 (https://datatracker.ietf.org/doc/html/rfc7946#page-12) the CRS for all GeoJSON objects must be WGS-84, equivalent to urn:ogc:def:crs:OGC::CRS84. And lat/long must be in decimal degrees.

Given the above, but considering that GeoJSON blobs exist that have CRS attributes in them, we provide CRS helpers in this package. But moving forward these are not likely to be used much.

Coordinate precision

According to RFC 7946 (https://datatracker.ietf.org/doc/html/rfc7946#section-11.2) consider that 6 decimal places amoutns to ~10 centimeters, a precision well within that of current GPS sytems. Further, A GeoJSON text containing many detailed Polygons can be inflated almost by a factor of two by increasing coordinate precision from 6 to 15 decimal places - so consider whether it is worth it to have more decimal places.

Author(s)

Scott Chamberlain, Jeroen Ooms

Pipe operator

Description

Pipe operator

Usage

lhs %>% rhs

Geojson class

Description

Geojson class

Usage

as.geojson(x)

## S4 method for signature 'json'
as.geojson(x)

## S4 method for signature 'geojson'
as.geojson(x)

## S4 method for signature 'character'
as.geojson(x)

## S4 method for signature 'SpatialPointsDataFrame'
as.geojson(x)

## S4 method for signature 'SpatialPoints'
as.geojson(x)

## S4 method for signature 'SpatialLinesDataFrame'
as.geojson(x)

## S4 method for signature 'SpatialLines'
as.geojson(x)

## S4 method for signature 'SpatialPolygonsDataFrame'
as.geojson(x)

## S4 method for signature 'SpatialPolygons'
as.geojson(x)

Arguments

Details

The print.geojson method prints the geojson geometry type, the bounding box, number of features (if applicable), and the geometries and their lengths

Value

an object of class geojson/json

Examples

# character
as.geojson(geojson_data$featurecollection_point)
as.geojson(geojson_data$polygons_average)
as.geojson(geojson_data$polygons_aggregate)
as.geojson(geojson_data$points_count)

# sp classes

## SpatialPoints
library(sp)
x <- c(1,2,3,4,5)
y <- c(3,2,5,1,4)
s <- SpatialPoints(cbind(x,y))
as.geojson(s)

## SpatialPointsDataFrame
s <- SpatialPointsDataFrame(cbind(x,y), mtcars[1:5,])
as.geojson(s)

## SpatialLines
L1 <- Line(cbind(c(1,2,3), c(3,2,2)))
L2 <- Line(cbind(c(1.05,2.05,3.05), c(3.05,2.05,2.05)))
L3 <- Line(cbind(c(1,2,3),c(1,1.5,1)))
Ls1 <- Lines(list(L1), ID = "a")
Ls2 <- Lines(list(L2, L3), ID = "b")
sl1 <- SpatialLines(list(Ls1))
as.geojson(sl1)

## SpatialLinesDataFrame
sl12 <- SpatialLines(list(Ls1, Ls2))
dat <- data.frame(X = c("Blue", "Green"),
                  Y = c("Train", "Plane"),
                  Z = c("Road", "River"), row.names = c("a", "b"))
sldf <- SpatialLinesDataFrame(sl12, dat)
as.geojson(sldf)

## SpatialPolygons
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)
as.geojson(sp_poly)

## SpatialPolygonsDataFrame
sp_polydf <- as(sp_poly, "SpatialPolygonsDataFrame")
as.geojson(sp_polydf)

## sf objects
if (requireNamespace('sf')) {
  nc <- sf::st_read(system.file("shape/nc.shp", package = "sf"), quiet = TRUE)
  as.geojson(nc)
}

Add or get bounding box

Description

Add or get bounding box

Usage

bbox_add(x, bbox = NULL)

bbox_get(x)

Arguments

Details

Note that bbox_get outputs the bbox if it exists, but does not calculate it from the geojson. See geo_bbox to calculate a bounding box. Bounding boxes can be 2D or 3D.

Value

• bbox_add: an object of class jqson/character from jqr

• bbox_get: a bounding box, of the form [west, south, east, north] for 2D or of the form [west, south, min-altitude, east, north, max-altitude] for 3D

References

https://datatracker.ietf.org/doc/html/rfc7946#section-5

Examples

# make a polygon
x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0] ]
  ]
}'
(y <- polygon(x))

# add bbox - without an input, we figure out the 2D bbox for you
y %>% feature() %>% bbox_add()
## 2D bbox
y %>% feature() %>% bbox_add(c(100.0, -10.0, 105.0, 10.0))
## 3D bbox
y %>% feature() %>% bbox_add(c(100.0, -10.0, 3, 105.0, 10.0, 17))

# get bounding box
z <- y %>% feature() %>% bbox_add()
bbox_get(z)

## returns NULL if no bounding box
bbox_get(x)

Add or get CRS

Description

Add or get CRS

Usage

crs_add(x, crs)

crs_get(x)

Arguments

Details

According to RFC 7946 (https://datatracker.ietf.org/doc/html/rfc7946#page-12) the CRS for all GeoJSON objects must be WGS-84, equivalent to urn:ogc:def:crs:OGC::CRS84. And lat/long must be in decimal degrees.

Given the above, but considering that GeoJSON blobs exist that have CRS attributes in them, we provide CRS helpers here. But moving forward these are not likely to be used much.

References

https://github.com/OSGeo/PROJ, https://geojson.org/geojson-spec.html#coordinate-reference-system-objects

Examples

x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0] ]
  ]
}'

# add crs
crs <- '{"type": "name",
 "properties": {
     "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
}}'
x %>% feature() %>% crs_add(crs)

# get crs
z <- x %>% feature() %>% crs_add(crs)
crs_get(z)

feature class

Description

feature class

Usage

feature(x)

Arguments

Details

Feature objects:

• A feature object must have a member with the name "geometry". The value of the geometry member is a geometry object as defined above or a JSON null value.

• A feature object must have a member with the name "properties". The value of the properties member is an object (any JSON object or a JSON null value).

• If a feature has a commonly used identifier, that identifier should be included as a member of the feature object with the name "id".

Examples

# point -> feature
x <- '{ "type": "Point", "coordinates": [100.0, 0.0] }'
point(x) %>% feature()

# multipoint -> feature
x <- '{"type": "MultiPoint", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ] }'
multipoint(x) %>% feature()

# linestring -> feature
x <- '{ "type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ] }'
linestring(x) %>% feature()

# multilinestring -> feature
x <- '{ "type": "MultiLineString",
 "coordinates": [ [ [100.0, 0.0], [101.0, 1.0] ], [ [102.0, 2.0], [103.0, 3.0] ] ] }'
multilinestring(x) %>% feature()

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(multilinestring(x)))

featurecollection class

Description

featurecollection class

Usage

featurecollection(x)

Arguments

Examples

file <- system.file("examples", 'featurecollection1.geojson',
  package = "geojson")
file <- system.file("examples", 'featurecollection2.geojson',
  package = "geojson")
str <- paste0(readLines(file), collapse = " ")
(y <- featurecollection(str))
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(y))

# features to featurecollection
x <- '{ "type": "Point", "coordinates": [100.0, 0.0] }'
point(x) %>% feature() %>% featurecollection()

## all points
x <- '{ "type": "Point", "coordinates": [100.0, 0.0] }'
y <- '{ "type": "Point", "coordinates": [100.0, 50.0] }'
featls <- lapply(list(x, y), function(z) feature(point(z)))
featurecollection(featls)

Calculate a bounding box

Description

Calculate a bounding box

Usage

geo_bbox(x)

Arguments

Details

Supports inputs of type: character, point, multipoint, linestring, multilinestring, polygon, multipoygon, feature, and featurecollection

On character inputs, we lint the input to make sure it's proper JSON and GeoJSON, then caculate the bounding box

Value

a vector of four doubles: min lon, min lat, max lon, max lat

Examples

# point
x <- '{ "type": "Point", "coordinates": [100.0, 0.0] }'
(y <- point(x))
geo_bbox(y)
y %>% feature() %>% geo_bbox()

# multipoint
x <- '{"type": "MultiPoint", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ] }'
(y <- multipoint(x))
geo_bbox(y)
y %>% feature() %>% geo_bbox()

# linestring
x <- '{ "type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}'
(y <- linestring(x))
geo_bbox(y)
y %>% feature() %>% geo_bbox()
file <- system.file("examples", 'linestring_one.geojson',
  package = "geojson")
con <- file(file)
str <- paste0(readLines(con), collapse = " ")
(y <- linestring(str))
geo_bbox(y)
y %>% feature() %>% geo_bbox()
close(con)

## Not run: 
# multilinestring
x <- '{ "type": "MultiLineString",
 "coordinates": [ [ [100.0, 0.0], [101.0, 1.0] ], [ [102.0, 2.0],
 [103.0, 3.0] ] ] }'
(y <- multilinestring(x))
geo_bbox(y)
y %>% feature() %>% geo_bbox()

# polygon
x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0] ]
  ]
}'
(y <- polygon(x))
geo_bbox(y)
y %>% feature() %>% geo_bbox()

# multipolygon
x <- '{ "type": "MultiPolygon",
"coordinates": [
  [[[102.0, 2.0], [103.0, 2.0], [103.0, 3.0], [102.0, 3.0], [102.0, 2.0]]],
  [[[100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0]],
  [[100.2, 0.2], [100.8, 0.2], [100.8, 0.8], [100.2, 0.8], [100.2, 0.2]]]
  ]
}'
(y <- multipolygon(x))
geo_bbox(y)
y %>% feature() %>% geo_bbox()

# featurecollection
file <- system.file("examples", 'featurecollection2.geojson',
  package = "geojson")
str <- paste0(readLines(file), collapse = " ")
x <- featurecollection(str)
geo_bbox(x)

# character
file <- system.file("examples", 'featurecollection2.geojson',
  package = "geojson")
str <- paste0(readLines(file), collapse = " ")
geo_bbox(str)

# json
library('jsonlite')
geo_bbox(toJSON(fromJSON(str), auto_unbox = TRUE))

## End(Not run)

Pretty print geojson

Description

Pretty print geojson

Usage

geo_pretty(x)

Arguments

Details

Wrapper around prettify

Examples

geo_pretty(point('{ "type": "Point", "coordinates": [100.0, 0.0] }'))

x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [100.0, 1.0], [101.0, 1.0], [101.0, 0.0], [100.0, 0.0] ]
  ]
}'
poly <- polygon(x)
geo_pretty(poly)

Get geometry type

Description

Get geometry type

Usage

geo_type(x)

Arguments

Examples

geo_type(point('{ "type": "Point", "coordinates": [100.0, 0.0] }'))

x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [100.0, 1.0], [101.0, 1.0], [101.0, 0.0], [100.0, 0.0] ]
  ]
}'
poly <- polygon(x)

geo_type(poly)

Write geojson to disk

Description

Write geojson to disk

Usage

geo_write(x, file)

Arguments

Details

Wrapper around jsonlite::toJSON() and cat

Examples

file <- tempfile(fileext = ".geojson")
geo_write(
  point('{ "type": "Point", "coordinates": [100.0, 0.0] }'),
  file
)
readLines(file)
unlink(file)

Geobuf serialization

Description

Geobuf serialization

Usage

from_geobuf(x, pretty = FALSE)

to_geobuf(x, file = NULL, decimals = 6)

Arguments

Details

from_geobuf uses protolite::geobuf2json(), while to_geobuf uses protolite::json2geobuf()

Note that protolite expects either a Feature, FeatureCollection, or Geometry class geojson object, Thus, for to_geobuf we check the geojson class, and convert to a Feature if the class is something other than the acceptable set.

Value

for from_geobuf JSON as a character string, and for to_geobuf raw or file written to disk

References

Geobuf is a compact binary encoding for geographic data using protocol buffers https://github.com/mapbox/geobuf

Examples

file <- system.file("examples/test.pb", package = "geojson")
(json <- from_geobuf(file))
from_geobuf(file, pretty = TRUE)
pb <- to_geobuf(json)
f <- tempfile(fileext = ".pb")
to_geobuf(json, f)
from_geobuf(f)

object.size(json)
object.size(pb)
file.info(file)$size
file.info(f)$size

file <- system.file("examples/featurecollection1.geojson",
  package = "geojson")
json <- paste0(readLines(file), collapse = "")
to_geobuf(json)

# other geojson class objects
x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0] ]
  ]
}'
(y <- polygon(x))
to_geobuf(y)

x <- '{"type": "MultiPoint", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ] }'
(y <- multipoint(x))
to_geobuf(y)

Data for use in examples

Description

Data for use in examples

Format

A list of character strings of points or polygons in FeatureCollection or Feature Geojson formats.

Details

The data objects included in the list, accessible by name

• featurecollection_point - FeatureCollection with a single point

• filter_features - FeatureCollection of points

• points_average - FeatureCollection of points

• polygons_average - FeatureCollection of polygons

• points_count - FeatureCollection of points

• polygons_count - FeatureCollection of polygons

• points_within - FeatureCollection of points

• polygons_within - FeatureCollection of polygons

• poly - Feaure of a single 1 degree by 1 degree polygon

• multipoly - FeatureCollection of two 1 degree by 1 degree polygons

• polygons_aggregate - FeatureCollection of Polygons from turf.js examples

• points_aggregate - FeatureCollection of Points from turf.js examples

geometrycollection class

Description

geometrycollection class

Usage

geometrycollection(x)

Arguments

Examples

x <- '{
 "type": "GeometryCollection",
 "geometries": [
   {
     "type": "Point",
     "coordinates": [100.0, 0.0]
   },
   {
     "type": "LineString",
     "coordinates": [ [101.0, 0.0], [102.0, 1.0] ]
   }
  ]
}'
(y <- geometrycollection(x))
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

# bigger geometrycollection
file <- system.file("examples", "geometrycollection1.geojson", package = "geojson")
(y <- geometrycollection(paste0(readLines(file), collapse="")))
geo_type(y)
geo_pretty(y)

linestring class

Description

linestring class

Usage

linestring(x)

Arguments

Examples

x <- '{ "type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ] }'
(y <- linestring(x))
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(y))

GeoJSON Linting

Description

GeoJSON Linting

Usage

linting_opts(
  lint = FALSE,
  method = "hint",
  error = FALSE,
  suppress_pkgcheck_warnings = FALSE
)

Arguments

Details

linting_opts was deprecated in 0.3.5

multilinestring class

Description

multilinestring class

Usage

multilinestring(x)

Arguments

Examples

x <- '{ "type": "MultiLineString",
 "coordinates": [ [ [100.0, 0.0], [101.0, 1.0] ], [ [102.0, 2.0], [103.0, 3.0] ] ] }'
(y <- multilinestring(x))
y[1]
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

file <- system.file("examples", 'multilinestring_one.geojson', 
  package = "geojson")
con <- file(file)
str <- paste0(readLines(con), collapse = " ")
(y <- multilinestring(str))
y[1]
geo_type(y)
geo_pretty(y)
close(con)

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(y))

multipoint class

Description

multipoint class

Usage

multipoint(x)

Arguments

Examples

x <- '{"type": "MultiPoint", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ] }'
(y <- multipoint(x))
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(y))

# as.geojson coercion
as.geojson(x)

multipolygon class

Description

multipolygon class

Usage

multipolygon(x)

Arguments

Examples

x <- '{ "type": "MultiPolygon",
"coordinates": [
  [[[102.0, 2.0], [103.0, 2.0], [103.0, 3.0], [102.0, 3.0], [102.0, 2.0]]],
  [[[100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0]],
  [[100.2, 0.2], [100.8, 0.2], [100.8, 0.8], [100.2, 0.8], [100.2, 0.2]]]
  ]
}'
(y <- multipolygon(x))
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(y))

Read and write newline-delimited GeoJSON (GeoJSON text sequences)

Description

There are various flavors of newline-delimited GeoJSON, all of which we aim to handle here. See Details for more.

Usage

ndgeo_write(x, file, sep = "\n")

## Default S3 method:
ndgeo_write(x, file, sep = "\n")

## S3 method for class 'geofeaturecollection'
ndgeo_write(x, file, sep = "\n")

## S3 method for class 'geofeature'
ndgeo_write(x, file, sep = "\n")

ndgeo_read(txt, pagesize = 500, verbose = TRUE)

Arguments

Details

• ndgeo_write: writes geojson package types as newline-delimited GeoJSON to a file

• ndgeo_read: reads newline-delimited GeoJSON from a string, file, or URL into the appropriate geojson type

As an alternative to ndgeo_read, you can simply use jsonlite::stream_in() to convert newline-delimited GeoJSON to a data.frame

Value

a geojson class object

Note

IMPORTANT: ngeo_read for now only handles lines of geojson in your file that are either features or geometry objects (e.g., point, multipoint, polygon, multipolygon, linestring, multilinestring)

References

Newline-delimited JSON has a few flavors. The only difference between ndjson http://ndjson.org/ and JSON Lines https://jsonlines.org/ I can tell is that the former requires UTF-8 encoding, while the latter does not.

GeoJSON text sequences has a specification found at https://datatracker.ietf.org/doc/html/rfc8142. The spec states that:

• a GeoJSON text sequence is any number of GeoJSON RFC7946 texts

• each line encoded in UTF-8 RFC3629

• each line preceded by one ASCII RFC20 record separator (RS; "0x1e") character

• each line followed by a line feed (LF)

• each JSON text MUST contain a single GeoJSON object as defined in RFC7946

See also the GeoJSON specification https://datatracker.ietf.org/doc/html/rfc7946

Examples

# featurecollection
## write
file <- system.file("examples", 'featurecollection2.geojson',
  package = "geojson")
str <- paste0(readLines(file), collapse = " ")
(x <- featurecollection(str))
outfile <- tempfile(fileext = ".geojson")
ndgeo_write(x, outfile)
readLines(outfile)
jsonlite::stream_in(file(outfile))
## read
ndgeo_read(outfile)
unlink(outfile)

# read from an existing file
## GeoJSON objects all of same type: Feature
file <- system.file("examples", 'ndgeojson1.json', package = "geojson")
ndgeo_read(file)
## GeoJSON objects all of same type: Point
file <- system.file("examples", 'ndgeojson2.json', package = "geojson")
ndgeo_read(file)
## GeoJSON objects of mixed type: Point, and Feature
file <- system.file("examples", 'ndgeojson3.json', package = "geojson")
ndgeo_read(file)

## Not run: 
# read from a file
url <- "https://raw.githubusercontent.com/ropensci/geojson/main/inst/examples/ndgeojson1.json"
f <- tempfile(fileext = ".geojsonl")
download.file(url, f)
x <- ndgeo_read(f)
x
unlink(f)

# read from a URL
url <- "https://raw.githubusercontent.com/ropensci/geojson/main/inst/examples/ndgeojson1.json"
x <- ndgeo_read(url)
x

# geojson text sequences from file
file <- system.file("examples", 'featurecollection2.geojson',
  package = "geojson")
str <- paste0(readLines(file), collapse = " ")
x <- featurecollection(str)
outfile <- tempfile(fileext = ".geojson")
ndgeo_write(x, outfile, sep = "\u001e\n")
con <- file(outfile)
readLines(con)
close(con)
ndgeo_read(outfile)
unlink(outfile)

## End(Not run)

point class

Description

point class

Usage

point(x)

Arguments

Examples

x <- '{ "type": "Point", "coordinates": [100.0, 0.0] }'
(y <- point(x))
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(y))

# as.geojson coercion
as.geojson(x)

polygon class

Description

polygon class

Usage

polygon(x)

Arguments

Examples

x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [100.0, 1.0], [101.0, 1.0], [101.0, 0.0], [100.0, 0.0] ]
  ]
}'
(y <- polygon(x))
y[1]
geo_type(y)
geo_pretty(y)
geo_write(y, f <- tempfile(fileext = ".geojson"))
jsonlite::fromJSON(f, FALSE)
unlink(f)

x <- '{ "type": "Polygon",
"coordinates": [
  [ [100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0] ],
  [ [100.2, 0.2], [100.8, 0.2], [100.8, 0.8], [100.2, 0.8], [100.2, 0.2] ]
  ]
}'
(y <- polygon(x))
y[1]
geo_type(y)
geo_pretty(y)

# add to a data.frame
library('tibble')
tibble(a = 1:5, b = list(y))

Add or get properties

Description

Add or get properties

Usage

properties_add(x, ..., .list = NULL)

properties_get(x, property)

Arguments

References

https://geojson.org/geojson-spec.html

Examples

# add properties
x <- '{ "type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}'
(y <- linestring(x))
y %>% feature() %>% properties_add(population = 1000)

## add with a named list already created
x <- '{ "type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}'
(y <- linestring(x))
props <- list(population = 1000, temperature = 89, size = 5)
y %>% feature() %>% properties_add(.list = props)

## combination of NSE and .list
x <- '{ "type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}'
(y <- linestring(x))
props <- list(population = 1000, temperature = 89, size = 5)
y %>% feature() %>% properties_add(stuff = 4, .list = props)

# features to featurecollection
x <- '{ "type": "Point", "coordinates": [100.0, 0.0] }'
point(x) %>%
  feature() %>%
  featurecollection() %>%
  properties_add(population = 10)

# get property
x <- '{ "type": "LineString", "coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}'
(y <- linestring(x))
x <- y %>% feature() %>% properties_add(population = 1000)
properties_get(x, property = 'population')

Convert GeoJSON character string to approriate GeoJSON class

Description

Automatically detects and adds the class

Usage

to_geojson(x)

Arguments

Examples

mp <- '{"type":"MultiPoint","coordinates":[[100,0],[101,1]]}'
to_geojson(mp)

ft <- '{"type":"Feature","properties":{"a":"b"},
"geometry":{"type": "MultiPoint","coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}}'
to_geojson(mp)

fc <- '{"type":"FeatureCollection","features":[{"type":"Feature","properties":{"a":"b"},
"geometry":{"type": "MultiPoint","coordinates": [ [100.0, 0.0], [101.0, 1.0] ]}}]}'
to_geojson(fc)