Package 'giscoR'

Title: Download Map Data from the GISCO API
Description: Tools to download global and European map data from Eurostat's GISCO (Geographic Information System of the Commission) database <https://ec.europa.eu/eurostat/web/gisco>. The package provides helpers for working with country boundaries, NUTS regions, statistical units, transport networks and other geospatial datasets. This package is not officially related to or endorsed by Eurostat.
Authors: Diego Hernangómez [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-8457-4658>), Eurostat [cph] (ROR: <https://ror.org/033d3q980>), EuroGeographics [cph]
Maintainer: Diego Hernangómez <[email protected]>
License: GPL-3
Version: 1.1.0
Built: 2026-06-03 08:45:27 UTC
Source: https://github.com/rOpenGov/giscoR

Help Index

GISCO Address API

Description

Functions to interact with the GISCO Address API, which allows for both geocoding and reverse geocoding using a pan-European address database.

Each endpoint is implemented through a specific function. See Details.

The API supports fuzzy searching (also referred to as approximate string matching) for all arguments of each endpoint.

Usage

gisco_address_api_search(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  housenumber = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_address_api_reverse(x, y, country = NULL, verbose = FALSE)

gisco_address_api_bbox(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_address_api_countries(verbose = FALSE)

gisco_address_api_provinces(country = NULL, city = NULL, verbose = FALSE)

gisco_address_api_cities(country = NULL, province = NULL, verbose = FALSE)

gisco_address_api_roads(
  country = NULL,
  province = NULL,
  city = NULL,
  verbose = FALSE
)

gisco_address_api_housenumbers(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_address_api_postcodes(
  country = NULL,
  province = NULL,
  city = NULL,
  verbose = FALSE
)

gisco_address_api_copyright(verbose = FALSE)

Arguments

country

Country code (country = "LU").
province

A province within a country. For a list of provinces within a country, use the provinces endpoint (gisco_address_api_provinces(country = "LU")).
city

A city within a province. For a list of cities within a certain province, use the cities endpoint (gisco_address_api_cities(province = "capellen")).
road

A road within a city.
housenumber

The house number or house name within a road or street.
postcode

A postcode to use with the previous arguments.
verbose

A logical value. If TRUE displays informational messages.
x, y

X and Y coordinates (as longitude and latitude) to convert into a human-readable address.

Details

Brief description of the API endpoints (source: GISCO Address API Endpoints):

Endpoint Description
⁠/countries⁠ Returns all country codes that are compatible with the address API. Check the coverage map for available countries and see the list of official country codes.
⁠/provinces⁠ Returns all provinces within the specified country. Can also be used to get the province of a specified city.
⁠/cities⁠ Returns all cities within a specified province or country.
⁠/roads⁠ Returns all roads or streets within a specified city.
⁠/housenumbers⁠ Returns all house numbers or names within the specified road. In some countries, an address may not have a road component. If a road is not specified, the API returns at most 1,000 house numbers.
⁠/postcodes⁠ Returns all postcodes within the specified address component: country, province or city.
⁠/search⁠ Allows structured queries to the address database. Various argument combinations can be used to retrieve addresses that share an address component. The API returns at most 100 addresses.
⁠/reverse⁠ Allows you to specify x and y coordinates to retrieve a structured address.
⁠/bbox⁠ Returns a WKT bounding box for an address component depending on the arguments specified.
⁠/copyright⁠ Returns the copyright text for each available country in the Address API.

The resulting object may include the following variables:

Property name Description
LD Refers to "locator designator" and represents the house number part of the address.
TF Refers to "thoroughfare" and represents the street or road part of the address.
L0 Refers to Level 0 of the API administrative levels. Values are country codes consisting of 2 characters.
L1 Refers to Level 1 of the API administrative levels. Values are province names. Please note that "province" is a generic term that may differ between countries.
L2 Refers to Level 2 of the API administrative levels. Values are town or city names. Please note that "city" is a generic term that may differ between countries.
PC Postal code.
N0 Refers to "NUTS 0".
N1 Refers to "NUTS 1".
N2 Refers to "NUTS 2".
N3 Refers to "NUTS 3".
X and Y Refer to the x and y coordinates of the address point.
OL Refers to the Open Location Code for the address.

Value

A tibble in most cases, except gisco_address_api_search(), gisco_address_api_reverse(), and gisco_address_api_bbox(), which return a sf object.

Source

https://gisco-services.ec.europa.eu/addressapi/docs/screen/home.

See Also

See the docs at https://gisco-services.ec.europa.eu/addressapi/docs/screen/home.

Other API tools: gisco_id_api

Examples

# Cities in a region

gisco_address_api_cities(country = "PT", province = "LISBOA")

# Geocode and reverse geocode with sf objects
# Structured search
struct <- gisco_address_api_search(
  country = "ES", city = "BARCELONA",
  road = "GRACIA"
)

struct

# Reverse geocoding
reverse <- gisco_address_api_reverse(x = struct$X[1], y = struct$Y[1])

reverse

Attribution for administrative and statistical GISCO data

Description

Get the legal text to be used for administrative and statistical data downloaded from GISCO, see section Copyright information.

For other datasets you may follow the Eurostat general copyright notice and license policy.

Usage

gisco_attributions(lang = "en", copyright = FALSE)

Arguments

lang

A character value with the language (two-letter ISO code). See countrycode::codelist and Details.
copyright

A logical value indicating whether to display the copyright notice on the console.

Details

Current languages supported are:

  • "en": English.

  • "da": Danish.

  • "de": German.

  • "es": Spanish.

  • "fi": Finnish.

  • "fr": French.

  • "no": Norwegian.

  • "sv": Swedish.

Please consider contributing if you spot any mistake or want to add a new language.

Value

A string with the attribution to be used.

Copyright information

The provisions described in this section apply to administrative and statistical data provided by the following functions:

Administrative units

Statistical units

Copyright Notice

When data downloaded from GISCO is used in any printed or electronic publication, in addition to any other provisions applicable to the whole Eurostat website, data source will have to be acknowledged in the legend of the map and in the introductory page of the publication with the following copyright notice:

  • EN: © EuroGeographics for the administrative boundaries.

  • FR: © EuroGeographics pour les limites administratives.

  • DE: © EuroGeographics bezüglich der Verwaltungsgrenzen.

For publications in languages other than English, French or German, the translation of the copyright notice in the language of the publication shall be used.

If you intend to use the data commercially, please contact EuroGeographics for information about their license agreements.

Examples

gisco_attributions()

gisco_attributions(lang = "es", copyright = TRUE)

gisco_attributions(lang = "XXX")

# Get the list of codes from **countrycode**.
library(dplyr)

countrycode::codelist |>
  select(country.name.en, iso2c)

GISCO API bulk download

Description

Download zipped data from GISCO to the cache_dir and extract the relevant files.

Usage

gisco_bulk_download(
  id = c("countries", "coastal_lines", "communes", "lau", "nuts", "urban_audit",
    "postal_codes"),
  year = 2016,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  resolution = 10,
  ext = c("shp", "geojson", "svg", "json", "gdb"),
  recursive = deprecated(),
  ...
)

Arguments

id

A character string or numeric value with the dataset type to download, see Details. Values supported are:

  • "countries"

  • "coastal_lines"

  • "communes"

  • "lau"

  • "nuts"

  • "urban_audit"

  • "postal_codes"

    This argument replaces the previous (deprecated) argument id_giscoR.

year

A character string or numeric value with the release year of the file, see Details.
cache_dir

A character string with a path to a cache directory. 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.
verbose

A logical value. If TRUE displays informational messages.
resolution

A character string or numeric value with the geospatial data resolution. One of:

  • "60": 1:60 million.

  • "20": 1:20 million.

  • "10": 1:10 million.

  • "03": 1:3 million.

  • "01": 1:1 million.

ext

The extension of the file or files to download. Available formats are "shp", "geojson", "svg", "json" and "gdb". See Details.
recursive

[Deprecated] recursive is no longer supported, and this function will never perform recursive extraction of child .zip files. This is the case for "shp.zip inside the top-level .zip, which will not be unzipped.
...

Ignored. The argument id_giscoR ([Deprecated]) is captured via ... and redirected to id with a warning.

Details

Some arguments only apply to a specific value of "id". For example "resolution" is ignored for values "communes", "lau", "urban_audit" and "postal_codes".

See years available in the corresponding functions:

The usual extensions used across giscoR are "gpkg" and "shp", but other formats are already available on GISCO. After a bulk download, you may need to adjust the default "ext" value in the corresponding function to connect it with the downloaded files (see Examples).

Value

An invisible character vector with the full path of the files extracted. See Examples.

Source

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

See Also

Additional utils for downloading datasets: gisco_get_unit

Examples

tmp <- file.path(tempdir(), "testexample")

dest_files <- gisco_bulk_download(
  id = "countries", resolution = 60,
  year = 2024, ext = "geojson",
  cache_dir = tmp
)
# Read one file.
library(sf)
read_sf(dest_files[1]) |> head()

# Now we can connect the function with the downloaded data like:

connect <- gisco_get_countries(
  resolution = 60,
  year = 2024, ext = "geojson",
  cache_dir = tmp, verbose = TRUE
)

# The message shows that the file is already cached.

# Clean up.
unlink(tmp, force = TRUE)

Clear your giscoR cache dir

Description

Use this function with caution. This function clears your cached data and configuration, specifically:

  • Deletes the giscoR config directory (tools::R_user_dir("giscoR", "config")).

  • Deletes the cache_dir directory.

  • Deletes the values stored on Sys.getenv("GISCO_CACHE_DIR").

Usage

gisco_clear_cache(config = FALSE, cached_data = TRUE, verbose = FALSE)

Arguments

config

If TRUE, delete the configuration folder of giscoR.
cached_data

If TRUE, delete your cache_dir and all its content.
verbose

A logical value. If TRUE displays informational messages.

Details

This function fully resets your status as if you had never installed or used giscoR.

Value

Invisible. This function is called for its side effects.

See Also

tools::R_user_dir()

Other cache utilities: gisco_set_cache_dir()

Examples

# Do not run this. It modifies your current state.
## Not run: 
my_cache <- gisco_detect_cache_dir()

# Set an example cache
ex <- file.path(tempdir(), "example", "cache")
gisco_set_cache_dir(ex, verbose = FALSE)

# Restore initial cache
gisco_clear_cache(verbose = TRUE)

gisco_set_cache_dir(my_cache)
identical(my_cache, gisco_detect_cache_dir())

## End(Not run)

Coastal lines 2016 sf object

Description

This object contains the coastal lines of the world.

Format

A sf object with POLYGON geometries, resolution: 1:20 million and EPSG:4326.

Source

COAS_RG_20M_2016_4326.gpkg file.

See Also

gisco_get_coastal_lines()

Other datasets: gisco_countries_2024, gisco_countrycode, gisco_db, gisco_nuts_2024

Examples

library(sf)
data("gisco_coastal_lines")
gisco_coastal_lines

Countries 2024 sf object

Description

This object contains world administrative boundaries at the country level.

Format

A sf object with MULTIPOLYGON geometries, resolution: 1:20 million and EPSG:4326. It has 263 rows and 12 variables:

CNTR_ID

Country ID as per Eurostat.

CNTR_NAME

Official country name in local language.

NAME_ENGL

Country name in English.

NAME_FREN

Country name in French.

ISO3_CODE

ISO 3166-1 alpha-3 code of each country, as provided by GISCO.

SVRG_UN

Sovereign status as per United Nations.

CAPT

Capital city.

EU_STAT

European Union member.

EFTA_STAT

EFTA member.

CC_STAT

EU candidate member.

NAME_GERM

Country name in German.

geometry

Geometry field.

Source

CNTR_RG_20M_2024_4326.gpkg file.

See Also

gisco_get_countries()

Other datasets: gisco_coastal_lines, gisco_countrycode, gisco_db, gisco_nuts_2024

Examples

data("gisco_countries_2024")
head(gisco_countries_2024)

Database with different country code schemes and world regions

Description

A tibble containing conversions between different country code schemes (Eurostat/ISO2 and 3) as well as geographic regions as provided by the World Bank and the UN (M49 Standard). This database has been extracted from the countrycode package.

Format

A data frame object with 249 rows and 13 variables:

ISO3_CODE

Eurostat code of each country.

CNTR_CODE

ISO 3166-1 alpha-2 code of each country.

iso2c

ISO 3166-1 alpha-2 code of each country.

iso.name.en

ISO English short name.

cldr.short.en

English short name as provided by the Unicode Common Locale Data Repository.

continent

As provided by the World Bank.

un.region.code

Numeric region code UN (M49).

un.region.name

Region name UN (M49).

un.regionintermediate.code

Numeric intermediate Region.

un.regionintermediate.name

Intermediate Region name UN (M49).

un.regionsub.code

Numeric sub-region code UN (M49).

un.regionsub.name

Sub-Region name UN (M49).

eu

Logical indicating if the country belongs to the European Union.

World Regions

Regions are defined as per the geographic regions defined by the UN (see https://unstats.un.org/unsd/methodology/m49/. Under this scheme Cyprus is assigned to Asia.

Source

countrycode::codelist v1.6.1.

See Also

gisco_get_countries(), countrycode::codelist.

See also Unicode Common Locale Data Repository.

Other datasets: gisco_coastal_lines, gisco_countries_2024, gisco_db, gisco_nuts_2024

Examples

data("gisco_countrycode")
dplyr::glimpse(gisco_countrycode)

Cached GISCO database

Description

Database with the list of files in the GISCO API as of 2026-01-12.

Format

A tibble with 9,714 rows.

Details

This database is used to redirect the corresponding functions to the correct API endpoints.

This version of the database is used if there is a problem during update. Please use gisco_get_cached_db() with update_cache = TRUE to update the corresponding API endpoints.

Source

GISCO API datasets.json.

See Also

Other datasets: gisco_coastal_lines, gisco_countries_2024, gisco_countrycode, gisco_nuts_2024

Other database utils: gisco_get_cached_db(), gisco_get_metadata()

Examples

data("gisco_db")
gisco_db |>
  dplyr::glimpse()

Airports dataset

Description

This dataset includes the location of over 11,800 pan-European airports and heliports. The airports are identified using the International Civil Aviation Organisation (ICAO) airport codes.

Usage

gisco_get_airports(
  year = c(2013, 2006),
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

year

A character string or numeric value with the release year of the file. One of 2013, 2006.
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().
cache_dir

A character string with a path to a cache directory. 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.
verbose

A logical value. If TRUE displays informational messages.

Details

Dataset includes objects in EPSG:4326.

Value

A sf object.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/transport-networks.

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

See Also

Other transport networks datasets: gisco_get_ports()

Examples

airp <- gisco_get_airports(year = 2013)
coast <- giscoR::gisco_coastal_lines

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

  ggplot(coast) +
    geom_sf(fill = "grey10", color = "grey20") +
    geom_sf(
      data = airp, color = "#00F0FF",
      size = 0.2, alpha = 0.25
    ) +
    theme_void() +
    theme(
      plot.background = element_rect(fill = "black"),
      text = element_text(color = "white"),
      panel.grid = element_blank(),
      plot.title = element_text(face = "bold", hjust = 0.5),
      plot.subtitle = element_text(face = "italic", hjust = 0.5)
    ) +
    labs(
      title = "Airports in Europe", subtitle = "Year 2013",
      caption = "Source: Eurostat, Airports 2013 dataset."
    ) +
    # Center on Europe with EPSG 3035.
    coord_sf(
      crs = 3035,
      xlim = c(2377294, 7453440),
      ylim = c(1313597, 5628510)
    )
}

Retrieve and update the GISCO database in use by giscoR

Description

Returns or optionally updates the cached database with the endpoints of the GISCO API.

Usage

gisco_get_cached_db(update_cache = FALSE)

Arguments

update_cache

A logical value. If TRUE, rebuild the cached database with the most recent information from the GISCO API.

Details

The cached database is stored in the giscoR cache path, see gisco_set_cache_dir() for details. The cached database is used in subsequent R sessions.

On new GISCO data releases, you can access the updated data by refreshing the cached database without waiting for a new version of giscoR.

A static database gisco_db is shipped with the package. This database is used if there is any problem during update.

Value

A tibble.

Source

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

See Also

Other database utils: gisco_db, gisco_get_metadata()

Examples

gisco_get_cached_db() |>
  dplyr::glimpse()

Census dataset

Description

This dataset shows pan-European communal boundaries depicting the situation at the corresponding Census.

Usage

gisco_get_census(
  year = 2011,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  spatialtype = c("RG", "PT")
)

Arguments

year

A character string or numeric value with the release year of the file. Currently only "2011" is provided.
cache_dir

A character string with a path to a cache directory. 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.
verbose

A logical value. If TRUE displays informational messages.
spatialtype

The type of geometry to return:

  • "PT": Points - POINT object.

  • "RG": Regions - MULTIPOLYGON/POLYGON object.

Value

A sf object.

Source

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

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

See Also

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

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

Examples

library(sf)

pts <- gisco_get_census(spatialtype = "PT")

pts

Coastal lines dataset

Description

Downloads worldwide coastlines.

Usage

gisco_get_coastal_lines(
  year = 2016,
  epsg = 4326,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = 20,
  ext = "gpkg"
)

Arguments

year

A character string or numeric value with the release year of the file. One of "2016", "2013", "2010", "2006".
epsg

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

cache

A logical value indicating whether to cache results. Default is TRUE. 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.
resolution

A character string or numeric value with the geospatial data resolution. One of:

  • "60": 1:60 million.

  • "20": 1:20 million.

  • "10": 1:10 million.

  • "03": 1:3 million.

  • "01": 1:1 million.

ext

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

Value

A sf object.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

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

See Also

gisco_coastal_lines.

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

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

Examples

coast <- gisco_get_coastal_lines()

library(ggplot2)

ggplot(coast) +
  geom_sf(color = "#1278AB", fill = "#FDFBEA") +
  # Zoom on the Mediterranean Sea.
  coord_sf(
    xlim = c(-4, 35),
    ylim = c(31, 45)
  ) +
  theme_minimal() +
  theme(
    panel.background = element_rect(fill = "#C7E7FB", color = NA),
    panel.border = element_rect(colour = "black", fill = NA)
  )

Communes dataset

Description

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

Usage

gisco_get_communes(
  year = 2016,
  epsg = 4326,
  cache = deprecated(),
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = "RG",
  country = NULL,
  ext = "shp"
)

Arguments

year

A character string or numeric value with the release year of the file. One of "2016", "2013", "2010", "2008", "2006", "2004", "2001".
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.
spatialtype

A character string with the type of geometry to return. Options available are:

  • "RG": Regions - MULTIPOLYGON/POLYGON object.

  • "LB": Labels - POINT object.

  • "BN": Boundaries - LINESTRING object.

    Argument country is only applied when spatialtype is "RG" or "LB".

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().
ext

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

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 dataset is based on EuroBoundaryMap from EuroGeographics. Geographical extent covers the European Union 28, EFTA countries and candidate countries. The scale of the dataset is 1:100 000.

The LAU classification is not covered by any legislative act.

Value

A sf object.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

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

See Also

gisco_get_lau().

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

Other administrative units datasets: gisco_get_countries(), gisco_get_postal_codes()

Examples

ire_comm <- gisco_get_communes(spatialtype = "LB", country = "Ireland")

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

  ggplot(ire_comm) +
    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"
    ))
}

Countries dataset

Description

This dataset contains world administrative boundaries at the country level. It provides 2 feature classes (regions and boundaries) for each scale level, with 5 scale levels available (1M, 3M, 10M, 20M and 60M).

This function gets data from the aggregated GISCO country file. To download individual country files, use gisco_get_unit_country().

Usage

gisco_get_countries(
  year = 2024,
  epsg = 4326,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = 20,
  spatialtype = "RG",
  country = NULL,
  region = NULL,
  ext = "gpkg"
)

Arguments

year

A character string or numeric value with the release year of the file. One of "2024", "2020", "2016", "2013", "2010", "2006", "2001".
epsg

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

cache

A logical value indicating whether to cache results. Default is TRUE. 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.
resolution

A character string or numeric value with the geospatial data resolution. One of:

  • "60": 1:60 million.

  • "20": 1:20 million.

  • "10": 1:10 million.

  • "03": 1:3 million.

  • "01": 1:1 million.

spatialtype

A character string with the type of geometry to return. Options available are:

  • "RG": Regions - MULTIPOLYGON/POLYGON object.

  • "LB": Labels - POINT object.

  • "BN": Boundaries - LINESTRING object.

  • "COASTL": coastlines - LINESTRING object.

  • "INLAND": inland boundaries - LINESTRING object.

    Arguments country and region are only applied when spatialtype is "RG" or "LB".

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().
region

An optional character vector of UN M49 region codes or European Union membership. Possible values are "Africa", "Americas", "Asia", "Europe", "Oceania" or "EU" for countries belonging to the European Union (as per 2021). See World Regions and gisco_countrycode.
ext

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

Value

A sf object.

World Regions

Regions are defined as per the geographic regions defined by the UN (see https://unstats.un.org/unsd/methodology/m49/. Under this scheme Cyprus is assigned to Asia.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

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

See Also

gisco_countrycode, gisco_countries_2024, gisco_get_metadata(), countrycode::countrycode().

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

See gisco_get_unit_country() to download single files.

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

Other administrative units datasets: gisco_get_communes(), gisco_get_postal_codes()

Examples

cntries <- gisco_get_countries()

library(ggplot2)
ggplot(cntries) +
  geom_sf()

# Get a region

africa <- gisco_get_countries(region = "Africa")
ggplot(africa) +
  geom_sf(fill = "#078930", col = "white") +
  theme_minimal()

Education services in Europe

Description

This dataset is an integration of Member States official data on the location of education services. Additional information on these services is included when available (see Details).

Usage

gisco_get_education(
  year = c(2023, 2020),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL
)

Arguments

year

A character string or numeric value with the release year of the file. One of 2023, 2020.
cache

A logical value indicating whether to cache results. Default is TRUE. 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().

Details

Files are distributed on EPSG:4326.

Brief description of each attribute:

Attribute Description
id The education service identifier. This identifier is based on national identification codes, if it exists.
name The name of the education institution.
site_name The name of the specific site or branch of an education institution.
lat Latitude (WGS 84).
lon Longitude (WGS 84).
street Street name.
house_number House number.
postcode Postcode.
address Address information when the different components of the address are not separated in the source.
city City name (sometimes refers to a region or municipality).
cntr_id Country code (2 letters, ISO 3166-1 alpha-2).
levels Education levels represented by a single integer or range (ISCED 2011).
max_students Measure of capacity by maximum number of students.
enrollment Measure of capacity by number of enrolled students.
fields Academic disciplines the institution specializes in (ISCED-F 2013).
facility_type Type of institution in reference to ownership and operation, such as Catholic or international.
public_private The public or private status of the education service.
tel Telephone number.
email Email address.
url URL for the institution's website.
ref_date The reference date (DD/MM/YYYY) the data refers to. The dataset represents the reality as it was at this date.
geo_qual Geolocation quality indicator: 1 = Good, 2 = Medium, 3 = Low, 4 = From source, -1 = Unknown, -2 = Not geocoded.
comments Additional information on the education service.

Value

A sf object.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/basic-services.

There are no specific download rules for the datasets shown below. However, please refer to the general copyright notice and license provisions, which must be complied with. Permission to download and use these data are subject to these rules being accepted.

The data are extracted from official national registers. They may contain inconsistencies, inaccuracies and gaps, due to the heterogeneity of the input national data.

See Also

Other basic services datasets: gisco_get_healthcare()

Examples

edu_austria <- gisco_get_education(country = "Austria", year = 2023)

# Plot if downloaded
if (!is.null(edu_austria)) {
  austria_nuts3 <- gisco_get_nuts(country = "Austria", nuts_level = 3)

  library(ggplot2)
  ggplot(austria_nuts3) +
    geom_sf(fill = "grey10", color = "grey60") +
    geom_sf(
      data = edu_austria, aes(color = rev(public_private)),
      alpha = 0.25
    ) +
    theme_void() +
    theme(
      plot.background = element_rect(fill = "black"),
      text = element_text(color = "white"),
      panel.grid = element_blank(),
      plot.title = element_text(face = "bold", hjust = 0.5),
      plot.subtitle = element_text(face = "italic", hjust = 0.5)
    ) +
    labs(
      title = "Education", subtitle = "Austria (2023)",
      caption = "Source: Eurostat, Education 2023 dataset.",
      color = "Type"
    ) +
    coord_sf(crs = 3035)
}

Grid dataset

Description

These datasets contain grid cells covering the European land territory, for various resolutions from 1km to 100km. Base statistics such as population figures are provided for these cells.

Usage

gisco_get_grid(
  resolution = c(100, 50, 20, 10, 5, 2, 1),
  spatialtype = c("REGION", "POINT"),
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

resolution

The grid cell resolution in km. Available values are "1", "2", "5", "10", "20", "50" and "100". See Details.
spatialtype

A character string selecting "REGION" or "POINT".
cache_dir

A character string with a path to a cache directory. 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.
verbose

A logical value. If TRUE displays informational messages.

Details

Files are distributed on EPSG:3035.

The file sizes range from 428 KB (resolution = 100) to 1.7 GB (resolution = 1).

Value

A sf object.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/grids.

There are specific downloading provisions, please see https://ec.europa.eu/eurostat/web/gisco/geodata/grids.

Examples

grid <- gisco_get_grid(resolution = 20)

# If downloaded correctly proceed

if (!is.null(grid)) {
  library(dplyr)

  grid <- grid |>
    mutate(popdens = TOT_P_2021 / 20)

  breaks <- c(0, 0.1, 100, 500, 1000, 5000, 10000, Inf)

  # Cut groups.
  grid <- grid |>
    mutate(popdens_cut = cut(popdens,
      breaks = breaks,
      include.lowest = TRUE
    ))

  cut_labs <- prettyNum(breaks, big.mark = " ")[-1]
  cut_labs[1] <- "0"
  cut_labs[7] <- "> 10 000"

  pal <- c("black", hcl.colors(length(breaks) - 2,
    palette = "Spectral",
    alpha = 0.9
  ))

  library(ggplot2)

  ggplot(grid) +
    geom_sf(aes(fill = popdens_cut), color = NA, linewidth = 0) +
    coord_sf(
      xlim = c(2500000, 7000000),
      ylim = c(1500000, 5200000)
    ) +
    scale_fill_manual(
      values = pal, na.value = "black",
      name = "people per square kilometer",
      labels = cut_labs,
      guide = guide_legend(
        direction = "horizontal",
        nrow = 1
      )
    ) +
    theme_void() +
    labs(
      title = "Population density in Europe (2021)",
      subtitle = "Grid: 20 km.",
      caption = gisco_attributions()
    ) +
    theme(
      text = element_text(colour = "white"),
      plot.background = element_rect(fill = "grey2"),
      plot.title = element_text(hjust = 0.5),
      plot.subtitle = element_text(hjust = 0.5, face = "bold"),
      plot.caption = element_text(
        color = "grey60", hjust = 0.5, vjust = 0,
        margin = margin(t = 5, b = 10)
      ),
      legend.position = "bottom",
      legend.title.position = "top",
      legend.text.position = "bottom",
      legend.key.height = unit(0.5, "lines"),
      legend.key.width = unit(1, "lines")
    )
}

Healthcare services in Europe

Description

The dataset contains information on main healthcare services considered to be 'hospitals' by Member States. The definition varies slightly from country to country, but roughly includes the following:

  • "'Hospitals' comprises licensed establishments primarily engaged in providing medical, diagnostic and treatment services that include physician, nursing and other health services to in-patients and the specialised accommodation services required by inpatients."*

Usage

gisco_get_healthcare(
  year = c(2023, 2020),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL
)

Arguments

year

A character string or numeric value with the release year of the file. One of 2023, 2020.
cache

A logical value indicating whether to cache results. Default is TRUE. 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().

Details

Files are distributed on EPSG:4326.

Brief description of each attribute:

Attribute Description
id The healthcare service identifier. This identifier is based on national identification codes, if it exists.
hospital_name The name of the healthcare institution.
site_name The name of the specific site or branch of a healthcare institution.
lat Latitude (WGS 84).
lon Longitude (WGS 84).
street Street name.
house_number House number.
postcode Postcode.
address Address information when the different components of the address are not separated in the source.
city City name (sometimes refers to a region or municipality).
cntr_id Country code (2 letters, ISO 3166-1 alpha-2).
emergency yes or no, indicating whether the healthcare site provides emergency medical services.
cap_beds Measure of capacity by number of beds (most common).
cap_prac Measure of capacity by number of practitioners.
cap_rooms Measure of capacity by number of rooms.
facility_type Type of healthcare service (e.g., psychiatric hospital), based on national classification.
public_private public or private status of the healthcare service.
list_specs List of specialties recognized in the EU and EEA according to the 2005 EU Directive (Annex V).
tel Telephone number.
email Email address.
url URL for the institution's website.
ref_date The date (DD/MM/YYYY) the data refers to (reference date).
pub_date The publication date of the dataset by Eurostat (DD/MM/YYYY).
geo_qual Geolocation quality indicator: 1 = Good, 2 = Medium, 3 = Low, 4 = From source, -1 = Unknown, -2 = Not geocoded.
comments Additional information on the healthcare service.

Value

A sf object.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/basic-services.

There are no specific download rules for the datasets shown below. However, please refer to the general copyright notice and license provisions, which must be complied with. Permission to download and use these data are subject to these rules being accepted.

The data are extracted from official national registers. They may contain inconsistencies, inaccuracies and gaps, due to the heterogeneity of the input national data.

See Also

Other basic services datasets: gisco_get_education()

Examples

health_benelux <- gisco_get_healthcare(
  country = c("BE", "NL", "LU"),
  year = 2023
)

# Plot if downloaded
if (!is.null(health_benelux)) {
  benelux <- gisco_get_countries(country = c("BE", "NL", "LU"))

  library(ggplot2)
  ggplot(benelux) +
    geom_sf(fill = "grey10", color = "grey20") +
    geom_sf(
      data = health_benelux, color = "red",
      size = 0.2, alpha = 0.25
    ) +
    theme_void() +
    theme(
      plot.background = element_rect(fill = "black"),
      text = element_text(color = "white"),
      panel.grid = element_blank(),
      plot.title = element_text(face = "bold", hjust = 0.5),
      plot.subtitle = element_text(face = "italic", hjust = 0.5)
    ) +
    labs(
      title = "Healthcare services", subtitle = "Benelux (2023)",
      caption = "Source: Eurostat, Healthcare 2023 dataset."
    ) +
    coord_sf(crs = 3035)
}

Local Administrative Units (LAU) dataset

Description

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"
)

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".

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.

Value

A sf object.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

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

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

## Not run: 

lu_lau <- gisco_get_lau(year = 2024, country = "Luxembourg")

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")
}

## End(Not run)

Get metadata

Description

Get a table with the names and IDs of administrative and statistical units.

Usage

gisco_get_metadata(
  id = c("nuts", "countries", "urban_audit"),
  year = 2024,
  verbose = FALSE
)

Arguments

id

A character string with the unit type to download. Accepted values are "nuts", "countries" or "urban_audit".
year

A character string or numeric value with the release year of the metadata.
verbose

A logical value. If TRUE displays informational messages.

Value

A tibble.

Source

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

See Also

gisco_get_nuts(), gisco_get_countries(), gisco_get_urban_audit().

Other database utils: gisco_db, gisco_get_cached_db()

Examples

cities <- gisco_get_metadata(id = "urban_audit", year = 2020)

cities

Territorial units for statistics (NUTS) dataset

Description

The GISCO statistical unit dataset represents the NUTS (nomenclature of territorial units for statistics) and statistical regions by means of multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualise multipart polygonal regions.

The NUTS are a hierarchical system divided into 3 levels:

  • NUTS 1: major socio-economic regions.

  • NUTS 2: basic regions for the application of regional policies.

  • NUTS 3: small regions for specific diagnoses.

Also, there is a NUTS 0 level, which usually corresponds to the national boundaries.

This function gets data from the aggregated GISCO NUTS file, which contains data for all countries at the requested NUTS level or levels. To download individual NUTS files, use gisco_get_unit_nuts().

Usage

gisco_get_nuts(
  year = 2024,
  epsg = 4326,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = 20,
  spatialtype = "RG",
  country = NULL,
  nuts_id = NULL,
  nuts_level = c("all", "0", "1", "2", "3"),
  ext = "gpkg"
)

Arguments

year

A character string or numeric value with the release year of the file. One of "2024", "2021", "2016", "2013", "2010", "2006", "2003".
epsg

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

cache

A logical value indicating whether to cache results. Default is TRUE. 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.
resolution

A character string or numeric value with the geospatial data resolution. One of:

  • "60": 1:60 million.

  • "20": 1:20 million.

  • "10": 1:10 million.

  • "03": 1:3 million.

  • "01": 1:1 million.

spatialtype

A character string with the type of geometry to return. Options available are:

  • "RG": Regions - MULTIPOLYGON/POLYGON object.

  • "LB": Labels - POINT object.

  • "BN": Boundaries - LINESTRING object.

    Arguments country, nuts_level and nuts_id are only applied when spatialtype is "RG" or "LB".

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().
nuts_id

An optional character vector of NUTS IDs.
nuts_level

A character string with the NUTS level. One of 0, 1, 2, 3 or all for all levels.
ext

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

Details

The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the nation at statistical level does not coincide with the administrative boundaries.

The NUTS classification has been officially established through Commission Delegated Regulation 2019/1755. A non-official NUTS-like classification has been defined for the EFTA countries, candidate countries and potential candidates based on a bilateral agreement between Eurostat and the respective statistical agencies.

An introduction to the NUTS classification is available here: https://ec.europa.eu/eurostat/web/nuts/overview.

Value

A sf object.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

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

See Also

gisco_nuts_2024, eurostat::get_eurostat_geospatial().

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

See gisco_get_unit_nuts() to download single files.

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

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

Examples

nuts2 <- gisco_get_nuts(nuts_level = 2)

library(ggplot2)

ggplot(nuts2) +
  geom_sf() +
  # ETRS89 / ETRS-LAEA
  coord_sf(
    crs = 3035, xlim = c(2377294, 7453440),
    ylim = c(1313597, 5628510)
  ) +
  labs(title = "NUTS-2 levels")
# NUTS-3 for Germany
germany_nuts3 <- gisco_get_nuts(nuts_level = 3, country = "Germany")

ggplot(germany_nuts3) +
  geom_sf() +
  labs(
    title = "NUTS-3 levels",
    subtitle = "Germany",
    caption = gisco_attributions()
  )

# Select specific regions
select_nuts <- gisco_get_nuts(nuts_id = c("ES2", "FRJ", "FRL", "ITC"))

ggplot(select_nuts) +
  geom_sf(aes(fill = CNTR_CODE)) +
  scale_fill_viridis_d()

Ports dataset

Description

This dataset includes the location of over 2,440 pan-European ports. The ports are identified following the UN LOCODE list.

Usage

gisco_get_ports(
  year = c(2013, 2009),
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

year

A character string or numeric value with the release year of the file. One of 2013, 2009.
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().
cache_dir

A character string with a path to a cache directory. 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.
verbose

A logical value. If TRUE displays informational messages.

Details

Dataset includes objects in EPSG:4326.

gisco_get_ports() adds a new field CNTR_ISO2 to the original data identifying the country of the port.

Value

A sf object.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/transport-networks.

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

See Also

Other transport networks datasets: gisco_get_airports()

Examples

library(sf)

ports <- gisco_get_ports(2013)
coast <- giscoR::gisco_coastal_lines

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

  ggplot(coast) +
    geom_sf(fill = "grey10", color = "grey20") +
    geom_sf(
      data = ports, color = "#6bb857",
      size = 0.2, alpha = 0.25
    ) +
    theme_void() +
    theme(
      plot.background = element_rect(fill = "black"),
      text = element_text(color = "white"),
      panel.grid = element_blank(),
      plot.title = element_text(face = "bold", hjust = 0.5),
      plot.subtitle = element_text(face = "italic", hjust = 0.5)
    ) +
    labs(
      title = "Ports Worldwide", subtitle = "Year 2013",
      caption = "Source: Eurostat, Ports 2013 dataset."
    ) +
    coord_sf(crs = "ESRI:54030")
}

Postal codes dataset

Description

The postal code point dataset shows the location of postal codes, NUTS codes and the Degree of Urbanisation classification across the EU, EFTA and candidate countries from a variety of sources. Its primary purpose is to create correspondence tables for the NUTS classification (EC) 1059/2003 as part of the Tercet Regulation (EU) 2017/2391.

Usage

gisco_get_postal_codes(
  year = 2024,
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  ext = "gpkg"
)

Arguments

year

A character string or numeric value with the release year of the file. One of "2024", "2020".
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().
cache_dir

A character string with a path to a cache directory. 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.
verbose

A logical value. If TRUE displays informational messages.
ext

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

Value

A sf object.

Copyright

The dataset is released under the CC-BY-SA-4.0 license and requires the following attribution whenever used: © European Union - GISCO, 2024, postal code point dataset, Licence CC-BY-SA 4.0.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

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

See Also

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

Other administrative units datasets: gisco_get_communes(), gisco_get_countries()

Examples

# Heavy-weight download!
## Not run: 

pc_bel <- gisco_get_postal_codes(country = "BE")

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

  ggplot(pc_bel) +
    geom_sf(color = "gold") +
    theme_bw() +
    labs(
      title = "Postcodes of Belgium",
      subtitle = "2024",
      caption = paste("\u00a9 European Union - GISCO, 2024,",
        "postal code point dataset",
        "License CC-BY-SA 4.0",
        sep = "\n"
      )
    )
}

## End(Not run)

GISCO API single download

Description

Download datasets of single spatial units from GISCO to the cache_dir.

Unlike gisco_get_countries(), gisco_get_nuts() or gisco_get_urban_audit() (which downloads a full dataset and applies filters), these functions download a single file per unit, reducing the time needed to download and read into your R session.

Usage

gisco_get_unit_country(
  unit = "ES",
  year = 2024,
  epsg = c(4326, 3857, 3035),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = c(1, 3, 10, 20, 60),
  spatialtype = c("RG", "LB")
)

gisco_get_unit_nuts(
  unit = "ES416",
  year = 2024,
  epsg = c(4326, 3857, 3035),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = c(1, 3, 10, 20, 60),
  spatialtype = c("RG", "LB")
)

gisco_get_unit_urban_audit(
  unit = "ES001F",
  year = 2024,
  epsg = c(4326, 3857, 3035),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = c("RG", "LB")
)

Arguments

unit

A character vector of unit IDs to be downloaded. See Details.
year

A character string or numeric value with the release year of the file.
epsg

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

cache

A logical value indicating whether to cache results. Default is TRUE. 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.
resolution

A character string or numeric value with the geospatial data resolution. One of:

  • "60": 1:60 million.

  • "20": 1:20 million.

  • "10": 1:10 million.

  • "03": 1:3 million.

  • "01": 1:1 million.

spatialtype

A character string with the type of geometry to return. Options available are:

  • "RG": Regions - MULTIPOLYGON/POLYGON object.

  • "LB": Labels - POINT object.

Details

Check the available unit IDs with the required combination of arguments with gisco_get_metadata().

Value

A sf object.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

All the source files are .geojson files.

See Also

gisco_get_metadata(), gisco_get_countries(), gisco_get_nuts(), gisco_get_urban_audit().

See gisco_id_api to download via GISCO ID service API.

Additional utils for downloading datasets: gisco_bulk_download()

Examples

# Get metadata
cities <- gisco_get_metadata("urban_audit", year = 2024)

# Valencia, Spain
valencia <- cities[grep("Valencia", cities$URAU_NAME), ]
valencia
library(dplyr)
# Now get the sf objects and order by AREA_SQM
valencia_sf <- gisco_get_unit_urban_audit(
  unit = valencia$URAU_CODE,
  year = 2024,
) |>
  arrange(desc(AREA_SQM))
# Plot
library(ggplot2)

ggplot(valencia_sf) +
  geom_sf(aes(fill = URAU_CATG)) +
  scale_fill_viridis_d() +
  labs(
    title = "Valencia",
    subtitle = "Urban Audit 2020",
    fill = "Category"
  )

Get geospatial units data from GISCO API

Description

[Deprecated]

This function is deprecated. Use:

Usage

gisco_get_units(
  id_giscoR = c("nuts", "countries", "urban_audit"),
  unit = "ES4",
  mode = c("sf", "df"),
  year = 2016,
  epsg = 4326,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = 20,
  spatialtype = "RG"
)

Arguments

id_giscoR

A character string with the unit type to download. Accepted values are "nuts", "countries" or "urban_audit".
unit

A unit ID to download.
mode

A character string controlling the output of the function. Possible values are "sf" or "df". See Value.
year

A character string or numeric value with the release year of the file.
epsg

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

cache

A logical value indicating whether to cache results. Default is TRUE. 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.
resolution

A character string or numeric value with the geospatial data resolution. One of:

  • "60": 1:60 million.

  • "20": 1:20 million.

  • "10": 1:10 million.

  • "03": 1:3 million.

  • "01": 1:1 million.

spatialtype

A character string with the type of geometry to return. Options available are:

  • "RG": Regions - MULTIPOLYGON/POLYGON object.

  • "LB": Labels - POINT object.

Value

A sf object on mode = "sf" or a tibble on mode = "df".

Note

Check the download and usage provisions in gisco_attributions().

Source

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

All the source files are .geojson files.

See Also

gisco_get_metadata(), ?gisco_get_unit functions.

Examples

# mode df
gisco_get_units("nuts", mode = "df", year = 2016)
# ->
gisco_get_metadata("nuts", year = 2016)

# mode sf for NUTS
gisco_get_units("nuts", unit = "ES111", mode = "sf", year = 2016)
# ->
gisco_get_unit_nuts(unit = "ES111", year = 2016)

Urban Audit dataset

Description

This dataset contains the boundaries of cities ("CITIES"), greater cities ("GREATER_CITIES") and functional urban areas ("FUA") as defined according to the EC-OECD city definition. This is used for the Eurostat Urban Audit data collection.

This function gets data from the aggregated GISCO Urban Audit file. To download individual Urban Audit files, use gisco_get_unit_urban_audit().

Usage

gisco_get_urban_audit(
  year = 2024,
  epsg = 4326,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = c("RG", "LB"),
  country = NULL,
  level = c("all", "CITIES", "FUA", "GREATER_CITIES", "CITY", "KERN", "LUZ"),
  ext = "gpkg"
)

Arguments

year

A character string or numeric value with the release year of the file. One of "2024", "2021", "2020", "2018", "2014", "2004", "2001".
epsg

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

cache

A logical value indicating whether to cache results. Default is TRUE. 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.
spatialtype

A character string with the type of geometry to return. Options available are:

  • "RG": Regions - MULTIPOLYGON/POLYGON object.

  • "LB": Labels - POINT object.

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().
level

A character string with the Urban Audit level. Possible values are "all" (the default), which downloads the full dataset, "CITIES", "FUA" and, for versions prior to year = 2020, "GREATER_CITIES", "CITY", "KERN" or "LUZ".
ext

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

Details

See more at: Eurostat - Statistics Explained.

The cities are defined at several conceptual levels:

  • The core city ("CITIES"), using an administrative definition.

  • The Functional Urban Area/Large Urban Zone ("FUA"), approximating the functional urban region. The coverage is the EU plus Iceland, Norway and Switzerland. The dataset includes polygon features, point features and a related attribute table which can be joined on the URAU code field.

The "URAU_CATG" field defines the Urban Audit category:

  • "C" = City.

  • "F" = Functional urban area service type.

Value

A sf object.

Note

Check the download and usage provisions in gisco_attributions().

Source

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

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

See Also

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

See gisco_get_unit_urban_audit() to download single files.

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

Examples

cities <- gisco_get_urban_audit(year = 2024, level = "CITIES")

if (!is.null(cities)) {
  bcn <- cities[cities$URAU_NAME == "Barcelona", ]

  library(ggplot2)
  ggplot(bcn) +
    geom_sf()
}

GISCO ID service API

Description

Functions to interact with the GISCO ID service API, which returns attributes and, optionally, geometry for different datasets at specified longitude and latitude coordinates.

Each endpoint available is implemented through a specific function, see Details.

Usage

gisco_id_api_geonames(
  x = NULL,
  y = NULL,
  xmin = NULL,
  ymin = NULL,
  xmax = NULL,
  ymax = NULL,
  verbose = FALSE
)

gisco_id_api_nuts(
  x = NULL,
  y = NULL,
  year = 2024,
  epsg = c(4326, 4258, 3035),
  verbose = FALSE,
  nuts_id = NULL,
  nuts_level = NULL,
  geometry = TRUE
)

gisco_id_api_lau(
  x,
  y,
  year = 2024,
  epsg = c(4326, 4258, 3035),
  verbose = FALSE,
  geometry = TRUE
)

gisco_id_api_country(
  x,
  y,
  year = 2024,
  epsg = c(4326, 4258, 3035),
  verbose = FALSE,
  geometry = TRUE
)

gisco_id_api_river_basin(
  x,
  y,
  year = 2019,
  epsg = c(4326, 4258, 3035),
  verbose = FALSE,
  geometry = TRUE
)

gisco_id_api_biogeo_region(
  x,
  y,
  year = 2016,
  epsg = c(4326, 4258, 3035),
  verbose = FALSE,
  geometry = TRUE
)

gisco_id_api_census_grid(
  x,
  y,
  year = 2021,
  epsg = c(4326, 4258, 3035),
  verbose = FALSE,
  geometry = TRUE
)

Arguments

x, y

A character string or numeric value with the x and y coordinates (as longitude and latitude) to identify.
xmin, ymin, xmax, ymax

A character string or numeric value with bounding box coordinates to identify all geonames within the box.
verbose

A logical value. If TRUE displays informational messages.
year

A character string or numeric value with the dataset year, see Details.
epsg

A character string or numeric value with the EPSG code for the coordinate reference system.
nuts_id

A character value with the NUTS ID code.
nuts_level

A character string with the NUTS level. One of 0, 1, 2 or 3.
geometry

A logical value indicating whether to return geometry. If TRUE, a sf object is returned. If FALSE, a tibble is returned.

Details

The available endpoints are:

  • gisco_id_api_geonames(): Get geographic placenames either from x/y coordinates or a bounding box.

  • gisco_id_api_nuts(): Returns NUTS regions from either a specified longitude and latitude (x,y) or ID. Accepted values for year are "2024", "2021", "2016", "2013", "2010", "2006".

  • gisco_id_api_lau(): Returns the ID and, optionally, geometry for Local Administrative Units (LAU) at specified longitude and latitude (x,y). Accepted values for year are "2024", "2023", "2022", "2021", "2020", "2019", "2018", "2017", "2016", "2015", "2014", "2013", "2012", "2011".

  • gisco_id_api_country(): Returns the ID and, optionally, geometry for countries at specified longitude and latitude (x,y). Accepted values for year are "2024", "2020", "2016", "2013", "2010", "2006".

  • gisco_id_api_river_basin(): Returns the ID and, optionally, geometry for river basins at specified longitude and latitude (x,y), based on the Water Framework Directive (WFD) reference spatial data sets. Accepted values for year are "2024", "2023", "2022", "2021", "2020", "2019".

  • gisco_id_api_biogeo_region(): Returns the ID and, optionally, geometry for biogeo regions at specified longitude and latitude (x,y). The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network. Accepted values for year is "2016".

  • gisco_id_api_census_grid(): Returns the ID and, optionally, geometry for census grid cells at specified longitude and latitude (x,y). Accepted values for year is "2021".

Value

A tibble or a sf object.

Source

https://gisco-services.ec.europa.eu/id/api-docs/.

See Also

gisco_get_nuts(), gisco_get_lau(), gisco_get_countries(), gisco_get_census().

Other API tools: gisco_address_api

Examples

gisco_id_api_geonames(x = -2.5, y = 43.06)

lau <- gisco_id_api_lau(x = -2.5, y = 43.06)
nuts3 <- gisco_id_api_nuts(x = -2.5, y = 43.06, nuts_level = 3)

if (all(!is.null(lau), !is.null(nuts3))) {
  library(ggplot2)

  ggplot(nuts3) +
    geom_sf(fill = "lightblue", color = "black") +
    geom_sf(data = lau, fill = "orange", color = "red") +
    labs(
      title = "NUTS3 and LAU boundaries",
      subtitle = "Arrasate, Basque Country, Spain",
      caption = "Source: GISCO ID service API"
    )
}

NUTS 2024 sf object

Description

This dataset represents the regions for levels 0, 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2024.

Format

A sf object with MULTIPOLYGON geometries, resolution: 1:20 million and EPSG:4326. It has 1798 rows and 10 variables:

NUTS_ID

NUTS identifier.

LEVL_CODE

NUTS level code ⁠(0,1,2,3)⁠.

CNTR_CODE

Eurostat Country code.

NAME_LATN

NUTS name on Latin characters.

NUTS_NAME

NUTS name on local alphabet.

MOUNT_TYPE

Mount Type, see Details.

URBN_TYPE

Urban Type, see Details.

COAST_TYPE

Coast Type, see Details.

geo

Same as NUTS_ID, provided for compatibility with eurostat.

geometry

geometry field.

Details

MOUNT_TYPE: Mountain typology:

  • 1: More than 50 % of the surface is covered by topographic mountain areas.

  • 2: More than 50 % of the regional population lives in topographic mountain areas.

  • 3: More than 50 % of the surface is covered by topographic mountain areas and where more than 50 % of the regional population lives in these mountain areas.

  • 4: Non-mountain region / other regions.

  • 0: No classification provided.

URBN_TYPE: Urban-rural typology:

  • 1: Predominantly urban region.

  • 2: Intermediate region.

  • 3: Predominantly rural region.

  • 0: No classification provided.

COAST_TYPE: Coastal typology:

  • 1: Coastal (on coast).

  • 2: Coastal (less than 50% of population living within 50 km. of the coastline).

  • 3: Non-coastal region.

  • 0: No classification provided.

Source

NUTS_RG_20M_2024_4326.gpkg file.

See Also

gisco_get_nuts()

Other datasets: gisco_coastal_lines, gisco_countries_2024, gisco_countrycode, gisco_db

Examples

data("gisco_nuts_2024")
head(gisco_nuts_2024)

Set your giscoR cache dir

Description

This function stores your cache_dir path on your local machine and loads it for future sessions. Type Sys.getenv("GISCO_CACHE_DIR") to find your cached path or use gisco_detect_cache_dir().

Usage

gisco_set_cache_dir(
  cache_dir = NULL,
  overwrite = FALSE,
  install = FALSE,
  verbose = TRUE
)

gisco_detect_cache_dir()

Arguments

cache_dir

A path to a cache directory. If NULL, the function stores cached files in a temporary directory (see base::tempdir()).
overwrite

If TRUE, overwrite an existing GISCO_CACHE_DIR that you already have on your local machine.
install

If TRUE, install the key on your local machine for use in future sessions. Defaults to FALSE. If cache_dir is FALSE, install is automatically set to FALSE.
verbose

A logical value. If TRUE displays informational messages.

Details

By default, when no cache cache_dir is set, the package uses a folder inside base::tempdir() (so files are temporary and are removed when the R session ends). To persist a cache across R sessions, use gisco_set_cache_dir(cache_dir, install = TRUE), which writes the chosen path to a small configuration file under tools::R_user_dir("giscoR", "config").

Value

gisco_set_cache_dir() returns an (invisible) character with the path to your cache_dir, but it is mainly called for its side effect.

gisco_detect_cache_dir() returns the path to the cache_dir used in this session.

Caching strategies

Some files can be read from their online source without caching using the option cache = FALSE. Otherwise the source file is downloaded to your computer. giscoR implements the following caching options:

  • For occasional use, rely on the default tempdir()-based cache (no install).

  • Modify the cache for a single session by setting gisco_set_cache_dir(cache_dir = "a/path/here").

  • For reproducible workflows, install a persistent cache with gisco_set_cache_dir(cache_dir = "a/path/here", install = TRUE) that is kept across R sessions.

  • For caching specific files, use the cache_dir argument in the corresponding function. See example in gisco_get_nuts().

Sometimes cached files may be corrupt. In that case, try re-downloading the data by setting update_cache = TRUE in the corresponding function.

If you experience any download problem, try to download the corresponding file by another method and save it in your cache_dir. Use the option verbose = TRUE for debugging the API query and gisco_detect_cache_dir() to identify your cached path.

Note

In giscoR >= 1.0.0 the location of the configuration file has moved from rappdirs::user_config_dir("giscoR", "R") to tools::R_user_dir("giscoR", "config"). We have implemented a function that migrates previous configuration files from one location to another with a message. This message appears only once to inform you of the migration.

See Also

tools::R_user_dir()

Other cache utilities: gisco_clear_cache()

Examples

# Do not run this. It modifies your current state.
## Not run: 
my_cache <- gisco_detect_cache_dir()

# Set an example cache
ex <- file.path(tempdir(), "example", "cachenew")
gisco_set_cache_dir(ex)

gisco_detect_cache_dir()

# Restore initial cache
gisco_set_cache_dir(my_cache)
identical(my_cache, gisco_detect_cache_dir())

## End(Not run)


gisco_detect_cache_dir()