cbs_geodata | R Documentation |
Data Sets with Geometries of Dutch Provinces, Municipalities and Zip Codes
geo_gemeenten
geo_ggdregios
geo_nuts3
geo_postcodes2
geo_postcodes3
geo_postcodes4
geo_postcodes6
geo_provincies
An object of class sf
(inherits from data.frame
) with 345 rows and 4 columns.
An object of class sf
(inherits from data.frame
) with 25 rows and 4 columns.
An object of class sf
(inherits from data.frame
) with 40 rows and 4 columns.
An object of class sf
(inherits from data.frame
) with 90 rows and 4 columns.
An object of class sf
(inherits from data.frame
) with 798 rows and 4 columns.
An object of class sf
(inherits from data.frame
) with 4068 rows and 4 columns.
An object of class sf
(inherits from data.frame
) with 58481 rows and 4 columns.
An object of class sf
(inherits from data.frame
) with 12 rows and 4 columns.
These data.frames are of additional class sf
and contain 3 variables:
...
name of the area, these are: geo_gemeenten$gemeente, geo_ggdregios$ggdregio, geo_nuts3$nuts3, geo_postcodes2$postcode, geo_postcodes3$postcode, geo_postcodes4$postcode, geo_postcodes6$postcode, geo_provincies$provincie
inwoners
number of inhabitants in the area
oppervlakte_km2
area in square kilometres
geometry
multipolygonal object of the area
All data sets have the coordinate reference system (CRS) set to EPSG:28992 ('RD New'), following the sphere of Earth. They can be flattened to e.g. EPSG:4326 ('WGS 84') using st_transform()
.
See the repository file to update these data sets.
NOTE: all data sets contains all areas of the whole country of the Netherlands, except for geo_postcodes6
which was cropped to only cover the Certe region (using crop_certe()
).
The data in these data.frames are retrieved from, and publicly available at, Statistics Netherlands:
Centraal Bureau voor de Statistiek (CBS), 'Gebiedsindelingen', GPKG 2022 v1, https://www.cbs.nl
Centraal Bureau voor de Statistiek (CBS), 'Kerncijfers per postcode', ZIP 2020 v1, https://www.cbs.nl
if (require("certeplot2")) {
geo_postcodes6 |>
filter_geolocation(plaats == "Groningen") |>
plot2(category = inwoners / oppervlakte_km2,
datalabels = FALSE,
title = "City of Groningen (PC6 level)")
}
if (require("certeplot2")) {
geo_postcodes4 |>
filter_geolocation(plaats == "Groningen") |>
plot2(category = inwoners / oppervlakte_km2,
datalabels = FALSE,
title = "City of Groningen (PC4 level)")
}
if (require("sf")) {
head(geo_gemeenten)
}
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