| gisco_get_lau {giscoR} | R Documentation |
Get GISCO urban areas sf polygons, points and lines
Description
gisco_get_communes() and gisco_get_lau() download shapes of Local
Urban Areas, that correspond roughly with towns and cities.
Usage
gisco_get_communes(
year = "2016",
epsg = "4326",
cache = TRUE,
update_cache = FALSE,
cache_dir = NULL,
verbose = FALSE,
spatialtype = "RG",
country = NULL
)
gisco_get_lau(
year = "2021",
epsg = "4326",
cache = TRUE,
update_cache = FALSE,
cache_dir = NULL,
verbose = FALSE,
country = NULL,
gisco_id = NULL
)
Arguments
year |
Release year of the file:
|
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
spatialtype |
Type of geometry to be returned:
Note that parameters |
country |
Optional. A character vector of country codes. It could be
either a vector of country names, a vector of ISO3 country codes or a
vector of Eurostat country codes. Mixed types (as |
gisco_id |
Optional. A character vector of GISCO_ID LAU values. |
Value
A sf object specified by spatialtype. In the case of
gisco_get_lau(), a POLYGON object.
About caching
You can set your cache_dir with gisco_set_cache_dir().
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir. Use the option verbose = TRUE for debugging the API query.
For a complete list of files available check gisco_db.
Note
Please check the download and usage provisions on gisco_attributions().
See Also
Other political:
gisco_bulk_download(),
gisco_get_coastallines(),
gisco_get_countries(),
gisco_get_nuts(),
gisco_get_postalcodes(),
gisco_get_units(),
gisco_get_urban_audit()
Examples
ire_lau <- gisco_get_communes(spatialtype = "LB", country = "Ireland")
if (!is.null(ire_lau)) {
library(ggplot2)
ggplot(ire_lau) +
geom_sf(shape = 21, col = "#009A44", size = 0.5) +
labs(
title = "Communes in Ireland",
subtitle = "Year 2016",
caption = gisco_attributions()
) +
theme_void() +
theme(text = element_text(
colour = "#009A44",
family = "serif", face = "bold"
))
}