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Download Geospatial Data from GISCO

Source: R/get_eurostat_geospatial.R
get_eurostat_geospatial.Rd

Downloads either a simple features (sf) or a data_frame of NUTS regions. This function is a wrapper of giscoR::gisco_get_nuts(). This function requires to have installed the packages sf and giscoR.

Usage

get_eurostat_geospatial(
  output_class = "sf",
  resolution = "60",
  nuts_level = "all",
  year = "2016",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  crs = "4326",
  make_valid = "DEPRECATED",
  ...
)

Source

Data source: Eurostat

© EuroGeographics for the administrative boundaries

Data downloaded using giscoR

Arguments

output_class

Class of object returned, either sf simple features or df (data_frame). spdf output has been soft-deprecated, the function would switch to sf.

resolution

Resolution of the geospatial data. One of

  • "60" (1:60million),

  • "20" (1:20million)

  • "10" (1:10million)

  • "03" (1:3million) or

  • "01" (1:1million).

nuts_level

Level of NUTS classification of the geospatial data. One of "0", "1", "2", "3" or "all" (mimics the original behaviour)

year

NUTS release year. One of "2003", "2006", "2010", "2013", "2016" or "2021"

cache

a logical whether to do caching. Default is TRUE.

update_cache

a logical whether to update cache. Can be set also with options(eurostat_update = TRUE)

cache_dir

a path to a cache directory. See set_eurostat_cache_dir(). If NULL and the cache dir has not been set globally the file would be stored in the tempdir().

crs

projection of the map: 4-digit EPSG code. One of:

  • "4326" - WGS84

  • "3035" - ETRS89 / ETRS-LAEA

  • "3857" - Pseudo-Mercator

make_valid

Deprecated

...

Arguments passed on to giscoR::gisco_get_nuts

verbose

Logical, displays information. Useful for debugging, default is FALSE.

spatialtype

Type of geometry to be returned:

  • "BN": Boundaries - LINESTRING object.

  • "LB": Labels - POINT object.

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

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 c("Turkey","US","FRA")) would not work. See also countrycode::countrycode().

nuts_id

Optional. A character vector of NUTS IDs.

Value

a sf or data_frame

Details

The objects downloaded from GISCO should contain all or some of the following variable 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, added for for easier joins with dplyr. Consider the status of this column "questioning" and use other columns for joins when possible.

  • geometry: geospatial information.

The following copyright notice is provided for end user convenience. Please check up-to-date copyright information from the eurostat website: https://ec.europa.eu/eurostat/about-us/policies/copyright

"(c) European Union, 1995 - today

Eurostat has a policy of encouraging free re-use of its data, both for non-commercial and commercial purposes. All statistical data, metadata, content of web pages or other dissemination tools, official publications and other documents published on its website, with the exceptions listed below, can be reused without any payment or written licence provided that:

  • the source is indicated as Eurostat;

  • when re-use involves modifications to the data or text, this must be stated clearly to the end user of the information."

For exceptions to the abovementioned principles see Eurostat website

"Eurostat's general copyright notice and licence policy is applicable and can be consulted here: https://ec.europa.eu/eurostat/about-us/policies/copyright

Please also be aware of the European Commission's general conditions: https://commission.europa.eu/legal-notice_en

Moreover, there are specific provisions applicable to some of the following datasets available for downloading. The download and usage of these data is subject to their acceptance:

  • Administrative Units / Statistical Units

  • Population distribution / Demography

  • Transport Networks

  • Land Cover

  • Elevation (DEM)"

Of the abovementioned datasets, Administrative Units / Statistical Units is applicable if the user wants to draw maps with borders provided by GISCO / EuroGeographics.

Data source: GISCO - Administrative Units / Statistical Units

The following copyright notice is provided for end user convenience. Please check up-to-date copyright information from the GISCO website: GISCO: Geographical information and maps - Administrative units/statistical 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:

  1. 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").

  2. 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."

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:

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 regarding their licence agreements."

See also

giscoR::gisco_get_nuts()

Other geospatial: eurostat_geodata_60_2016

Author

Markus Kainu markuskainu@gmail.com, Diego Hernangomez https://github.com/dieghernan/

Examples

# \donttest{
# Uses cached dataset
sf <- get_eurostat_geospatial(
  output_class = "sf",
  resolution = "60",
  nuts_level = "all"
)
#> Extracting data from eurostat::eurostat_geodata_60_2016
# Downloads dataset from server
sf2 <- get_eurostat_geospatial(
  output_class = "sf",
  resolution = "20",
  nuts_level = "all"
)
#> Extracting data using giscoR package, please report issues on https://github.com/rOpenGov/giscoR/issues
#> Cache management as per giscoR. see 'giscoR::gisco_get_nuts()'
df <- get_eurostat_geospatial(
  output_class = "df",
  nuts_level = "0"
)
#> Extracting data from eurostat::eurostat_geodata_60_2016
# }