esp_nuts.sf | R Documentation |
sf
object with all the NUTS levels of Spain (2016)A sf
object including all NUTS levels of Spain as provided by
GISCO (2016 version).
A sf
object (resolution: 1:1million, EPSG:4258) with
86 rows and columns:
NUTS level code (0,1,2,3)
NUTS identifier
Urban Type, see Details
Eurostat Country code ES
NUTS name on Latin characters
NUTS name on local alphabet
Mount Type, see Details
Coast Type, see Details
FID
geometry field
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
https://gisco-services.ec.europa.eu/distribution/v2/nuts/, file
NUTS_RG_20M_2016_4326.geojson
.
Other datasets:
esp_codelist
,
esp_munic.sf
,
esp_tiles_providers
,
pobmun19
Other nuts:
esp_get_nuts()
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)
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()
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