Simplified map of provinces and Autonomous Communities and Cities of Spain

Simplified map with the boundaries of the provinces or Autonomous Communities of Spain, as provided by the INE (Instituto Nacional de Estadística).

Usage

esp_get_simpl_prov(
  prov = NULL,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

esp_get_simpl_ccaa(
  ccaa = NULL,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

Source

INE: PC-Axis files.

Arguments

prov, ccaa

Character. A vector of names, codes or both for provinces and Autonomous Communities and Cities, or NULL to get all the data. See Details.

update_cache

Logical. If TRUE, refreshes the cached file and forces a new download. Defaults to FALSE.

cache_dir

Character string. A path to a cache directory. See Caching.

verbose

A logical value. If TRUE displays informational messages.

Value

A sf object.

Details

Results are provided without CRS, as provided by the source.

You can use and mix names, ISO codes, "codauto" or "cpro" codes (see esp_codelist) and NUTS codes of different levels.

When using a code corresponding to a higher level (for example, esp_get_prov("Andalucia")), all the corresponding units of that level are provided (in this case, all the provinces of Andalusia).

Caching

Functions that download data store files in cache_dir. When cache_dir is NULL, they use the active package cache, which defaults to a temporary directory. Set update_cache = TRUE to replace an existing cached file. See Caching strategies in esp_set_cache_dir() to configure a persistent cache.

See also

Additional boundary datasets and representations: esp_get_comarca(), esp_get_gridmap

Examples

# \donttest{
prov_simp <- esp_get_simpl_prov()

library(ggplot2)

ggplot(prov_simp) +
  geom_sf(aes(fill = ine.ccaa.name)) +
  labs(fill = "Autonomous Communities and Cities")


# Provinces of a single Autonomous Community or City.

and_simple <- esp_get_simpl_prov("Andalucia")

ggplot(and_simple) +
  geom_sf()


# Autonomous Communities and Cities.

ccaa_simp <- esp_get_simpl_ccaa()

ggplot(ccaa_simp) +
  geom_sf() +
  geom_sf_text(aes(label = ine.ccaa.name), check_overlap = TRUE)

# }