View source: R/gisco_get_lau.R
gisco_get_lau | R Documentation |
sf
polygons, points and linesgisco_get_communes()
and gisco_get_lau()
download shapes of Local
Urban Areas, that correspond roughly with towns and cities.
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
)
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. |
A sf
object specified by spatialtype
. In the case of
gisco_get_lau()
, a POLYGON
object.
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.
Please check the download and usage provisions on gisco_attributions()
.
Other political:
gisco_bulk_download()
,
gisco_get_coastallines()
,
gisco_get_countries()
,
gisco_get_nuts()
,
gisco_get_postalcodes()
,
gisco_get_units()
,
gisco_get_urban_audit()
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"
))
}
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