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Source: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts16

Usage

ll_get_nuts_eu(
  nuts_id = NULL,
  nuts_name = NULL,
  level = 3,
  resolution = 60,
  year = 2021,
  silent = FALSE
)

Arguments

nuts_id

NUTS id. Must correspond to the level given. e.g. "DE149" for the NUTS3 regionion of Sigmaringen in Germany.

nuts_name

Name of the NUTS region. Run ll_get_nuts_eu() to check valid values in NUTS_NAME column.

level

Defaults to 3, corresponding to nuts3. Available values are: 0, 1, 2, and 3.

resolution

Defaults to "60", for 1:60 Million. Available values: are 20, 10, 3, 1 (1 is highest quality available).

year

Defaults to 2021 Available values: 2021, 2016, 2013, 2010, 2006, 2003

Value

NUTS in sf format

Examples

ll_get_nuts_eu()
#>  © EuroGeographics for the administrative boundaries
#>  Source: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries
#> Simple feature collection with 1514 features and 9 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -61.8407 ymin: -21.3757 xmax: 55.8498 ymax: 80.7991
#> Geodetic CRS:  WGS 84
#> # A tibble: 1,514 × 10
#>    NUTS_ID LEVL_CODE CNTR_CODE NAME_LATN   NUTS_…¹ MOUNT…² URBN_…³ COAST…⁴ FID  
#>    <chr>       <int> <chr>     <chr>       <chr>     <int>   <int>   <int> <chr>
#>  1 DE149           3 DE        Sigmaringen Sigmar…       4       3       3 DE149
#>  2 DE211           3 DE        Ingolstadt… Ingols…       4       2       3 DE211
#>  3 DE212           3 DE        München, K… Münche…       4       1       3 DE212
#>  4 DE213           3 DE        Rosenheim,… Rosenh…       4       2       3 DE213
#>  5 DE214           3 DE        Altötting   Altött…       4       2       3 DE214
#>  6 DE215           3 DE        Berchtesga… Bercht…       3       2       3 DE215
#>  7 DE216           3 DE        Bad Tölz-W… Bad Tö…       2       2       3 DE216
#>  8 DE217           3 DE        Dachau      Dachau        4       2       3 DE217
#>  9 DE218           3 DE        Ebersberg   Ebersb…       4       2       3 DE218
#> 10 DE219           3 DE        Eichstätt   Eichst…       4       2       3 DE219
#> # … with 1,504 more rows, 1 more variable: geometry <MULTIPOLYGON [°]>, and
#> #   abbreviated variable names ¹​NUTS_NAME, ²​MOUNT_TYPE, ³​URBN_TYPE, ⁴​COAST_TYPE