Skip to contents

Simplified map of provinces and autonomous communities of Spain

Source: R/esp-get-simpl.R
esp_get_simpl.Rd

Simplified map with the boundaries of the provinces or autonomous communities of Spain, as provided by the INE (Instituto Nacional de Estadistica).

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 and/or codes for provinces and autonomous communities or NULL to get all the data. See Details.

update_cache

logical. Should the cached file be refreshed? Default is FALSE. When set to TRUE, it will force a new download.

cache_dir

character string. A path to a cache directory. See Caching strategies section in esp_set_cache_dir().

verbose

logical. If TRUE displays informational messages.

Value

A sf object.

Details

Results are provided without CRS, as provided by source.

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

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

See also

esp_get_gridmap.

Other datasets representing political borders: esp_get_capimun(), esp_get_ccaa(), esp_get_ccaa_siane(), esp_get_comarca(), esp_get_countries_siane(), esp_get_gridmap, esp_get_munic(), esp_get_munic_siane(), esp_get_nuts(), esp_get_prov(), esp_get_prov_siane(), esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Examples

# \donttest{
prov_simp <- esp_get_simpl_prov()

library(ggplot2)

ggplot(prov_simp) +
  geom_sf(aes(fill = ine.ccaa.name)) +
  labs(fill = "CCAA")


# Provs of Single CCAA

and_simple <- esp_get_simpl_prov("Andalucia")

ggplot(and_simple) +
  geom_sf()


# CCAAs

ccaa_simp <- esp_get_simpl_ccaa()

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

# }