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sf object with all the municipalities of Spain (2019)

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

A sf object including all municipalities of Spain as provided by GISCO (2019 version).

Format

A sf object (resolution: 1:1 million, EPSG:4258) object with 8,131 rows and columns:

codauto

INE code of the autonomous community.

ine.ccaa.name

INE name of the autonomous community.

cpro

INE code of the province.

ine.prov.name

INE name of the province.

cmun

INE code of the municipality.

name

Name of the municipality.

LAU_CODE

LAU Code (GISCO) of the municipality. This is a combination of cpro and cmun fields, aligned with INE coding scheme.

geometry

geometry field.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/statistical-units/local-administrative-units, LAU 2019 data.

See also

esp_get_munic().

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

Other municipalities: esp_get_capimun(), esp_get_munic()

Examples

data("esp_munic.sf")

teruel_cpro <- esp_dict_region_code("Teruel", destination = "cpro")

teruel_sf <- esp_munic.sf[esp_munic.sf$cpro == teruel_cpro, ]
teruel_city <- teruel_sf[teruel_sf$name == "Teruel", ]

# Plot

library(ggplot2)

ggplot(teruel_sf) +
  geom_sf(fill = "#FDFBEA") +
  geom_sf(data = teruel_city, aes(fill = name)) +
  scale_fill_manual(
    values = "#C12838",
    labels = "City of Teruel"
  ) +
  guides(fill = guide_legend(position = "inside")) +
  labs(
    fill = "",
    title = "Municipalities of Teruel"
  ) +
  theme_minimal() +
  theme(
    text = element_text(face = "bold"),
    panel.background = element_rect(colour = "black"),
    panel.grid = element_blank(),
    legend.position.inside = c(.2, .95)
  )