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Local Administrative Units (LAU) dataset

Source: R/gisco-get-lau.R
gisco_get_lau.Rd

This dataset shows pan-European administrative boundaries down to commune level. Local Administrative Units are equivalent to communes. See gisco_get_communes().

Usage

gisco_get_lau(
  year = 2024,
  epsg = 4326,
  cache = deprecated(),
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL,
  gisco_id = NULL,
  ext = "gpkg"
)

Source

https://gisco-services.ec.europa.eu/distribution/v2/.

Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/statistical-units.

Arguments

year

A character string or numeric value with the release year of the file. One of "2024", "2023", "2022", "2021", "2020", "2019", "2018", "2017", "2016", "2015", "2014", "2013", "2012", "2011" .

epsg

A character string or numeric value with the map projection as a 4-digit EPSG code. One of:

cache

[Deprecated]. These functions always cache the result due to the size. See Caching strategies section in gisco_set_cache_dir().

update_cache

A logical value indicating whether to refresh the cached file. Default is FALSE. When set to TRUE, it forces a new download.

cache_dir

A character string with a path to a cache directory. See Caching strategies section in gisco_set_cache_dir().

verbose

A logical value. If TRUE displays informational messages.

country

A character vector of country codes. It can be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. See also countrycode::countrycode().

gisco_id

An optional character vector of GISCO_ID LAU values.

ext

A character value with the extension of the file (default "gpkg"). One of "shp", "gpkg", "geojson" .

Value

A sf object.

Details

The Nomenclature of Territorial Units for Statistics (NUTS) and the LAU nomenclature are hierarchical classifications of statistical regions that together subdivide the EU economic territory into regions of five different levels (NUTS 1, 2 and 3 and LAU, respectively, moving from larger to smaller territorial units).

The LAU classification is not covered by any legislative act. Geographical extent covers the European Union, EFTA countries and candidate countries. The scale of the dataset is 1:100 000.

The data contains the National Statistical Agency LAU code, which can be joined to LAU lists, and a GISCO_ID field, which is a unique identifier consisting of the country code and LAU code.

Total resident population figures (31 December) have also been added in some versions based on the associated LAU lists.

Note

Check the download and usage provisions in gisco_attributions().

See also

gisco_get_communes().

See gisco_bulk_download() to perform a bulk download of datasets.

See gisco_id_api_lau() to download via GISCO ID service API.

Other statistical units datasets: gisco_get_census(), gisco_get_coastal_lines(), gisco_get_nuts(), gisco_get_urban_audit()

Examples

# \dontrun{

lu_lau <- gisco_get_lau(year = 2024, country = "Luxembourg")
#> ! The file to download has size 74.6 Mb.

if (!is.null(lu_lau)) {
  library(ggplot2)

  ggplot(lu_lau) +
    geom_sf(aes(fill = POP_DENS_2024)) +
    labs(
      title = "Population Density in Luxembourg",
      subtitle = "Year 2024",
      caption = gisco_attributions()
    ) +
    scale_fill_viridis_b(
      option = "cividis",
      label = \(x) prettyNum(x, big.mark = ",")
    ) +
    theme_void() +
    labs(fill = "pop/km2")
}

# }