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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