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sf object with all the NUTS levels of Spain (2016)

Source: R/data.R
esp_nuts.sf.Rd

A sf object including all NUTS levels of Spain as provided by GISCO (2016 version).

Format

A sf object (resolution: 1:1million, EPSG:4258) with 86 rows and columns:

LEVL_CODE

NUTS level code (0,1,2,3)

NUTS_ID

NUTS identifier

URBN_TYPE

Urban Type, see Details

CNTR_CODE

Eurostat Country code ES

NAME_LATN

NUTS name on Latin characters

NUTS_NAME

NUTS name on local alphabet

MOUNT_TYPE

Mount Type, see Details

COAST_TYPE

Coast Type, see Details

FID

FID

geometry

geometry field

Source

https://gisco-services.ec.europa.eu/distribution/v2/nuts/, file NUTS_RG_20M_2016_4326.geojson.

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

See also

Other datasets: esp_codelist, esp_munic.sf, esp_tiles_providers, pobmun19

Other nuts: esp_get_nuts()

Examples

data("esp_nuts.sf")

nuts <- esp_nuts.sf

# Select NUTS 3
nuts3 <- esp_nuts.sf[esp_nuts.sf$LEVL_CODE == 3, ]

# Combine with full shape

spain <- esp_get_country(moveCAN = FALSE)

# Plot Urban Type: See
# https://ec.europa.eu/eurostat/web/rural-development/methodology

library(ggplot2)

nuts3$URBN_TYPE_cat <- as.factor(nuts3$URBN_TYPE)

levels(nuts3$URBN_TYPE_cat)
#> [1] "1" "2" "3"
levels(nuts3$URBN_TYPE_cat) <- c("Urban", "Intermediate", "Rural")

ggplot(nuts3) +
  geom_sf(aes(fill = URBN_TYPE_cat), linewidth = .1) +
  scale_fill_manual(values = c("grey80", "#FFC183", "#68AC20")) +
  labs(
    title = "NUTS3 levels of Spain",
    fill = "Urban topology"
  ) +
  theme_linedraw()