Geospatial data of Europe from GISCO in 1:60 million scale from year 2024

Usage

eurostat_geodata_60_2024

Format

sf object

The dataset contains 2016 observations (rows) and 12 variables (columns):

id: JSON id code, the same as NUTS_ID. See NUTS_ID below for further clarification.
LEVL_CODE: NUTS level code: 0 (national level), 1 (major socio-economic regions), 2 (basic regions for the application of regional policies) or 3 (small regions).
NUTS_ID: NUTS ID code, consisting of country code and numbers (1 for NUTS 1, 2 for NUTS 2 and 3 for NUTS 3)
CNTR_CODE: Country code: two-letter ISO code (ISO 3166 alpha-2), except in the case of Greece (EL).
NAME_LATN: NUTS name in local language, transliterated to Latin script
NUTS_NAME: NUTS name in local language, in local script.
MOUNT_TYPE: Mountain typology for NUTS 3 regions. 1: "where more than 50 % of the surface is covered by topographic mountain areas" 2: "in which more than 50 % of the regional population lives in topographic mountain areas" 3: "where 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 region 0: no classification provided (e.g. in the case of NUTS 1 and NUTS 2 and non-EU countries)
URBN_TYPE: Urban-rural typology for NUTS 3 regions. 1: predominantly urban region 2: intermediate region 3: predominantly rural region 0: no classification provided (e.g. in the case of NUTS 1 and NUTS 2 regions)
COAST_TYPE: Coastal typology for NUTS 3 regions. 1: coastal (on coast) 2: coastal (>= 50% of population living within 50km of the coastline) 3: non-coastal region 0: no classification provided (e.g. in the case of NUTS 1 and NUTS 2 regions)
FID: Same as NUTS_ID
geo: Same as NUTS_ID
geometry: geospatial information

Dataset updated: 2023-06-29. For a possibly more recent version, please use giscoR function gisco_get_nuts() function.

Source

Data source: Eurostat via giscoR package function gisco_get_nuts().

Data downloaded from: https://ec.europa.eu/eurostat/web/gisco/geodata

References

The following copyright notice is provided for end user convenience. Please check up-to-date copyright information from the eurostat website: GISCO - Geodata - Administrative units

"In addition to the general copyright and licence policy applicable to the whole Eurostat website, the following specific provisions apply to the datasets you are downloading. The download and usage of these data is subject to the acceptance of the following clauses:

The Commission agrees to grant the non-exclusive and not transferable right to use and process the Eurostat/GISCO geographical data downloaded from this page (the "data").
The permission to use the data is granted on condition that:
1. the data will not be used for commercial purposes;
2. the source will be acknowledged. A copyright notice, as specified below, will have to be visible on any printed or electronic publication using the data downloaded from this page.

Copyright notice

When data downloaded from this page 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:

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 regarding their licence agreements."

Examples


eurostat_geodata_60_2024 <- eurostat::eurostat_geodata_60_2024

# Manipulate and plot
if (require(sf)) {
  library(sf)
  # Filter NUTS3 from select countries like in a regular data frame
  example_nuts <- subset(eurostat_geodata_60_2024, LEVL_CODE == 3 &
    CNTR_CODE %in% c("DK", "DE", "PL"))

  plot(example_nuts["CNTR_CODE"])
}
#> Loading required package: sf
#> Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.4.0; sf_use_s2() is TRUE