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Get Autonomous Communities of Spain as sf polygons and points

Source: R/esp_get_ccaa.R
esp_get_ccaa.Rd

Returns Autonomous Communities of Spain as polygons and points at a specified scale.

  • esp_get_ccaa_siane() uses CartoBase ANE as source, provided by Instituto Geografico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Usage

esp_get_ccaa(ccaa = NULL, moveCAN = TRUE, ...)

esp_get_ccaa_siane(
  ccaa = NULL,
  year = Sys.Date(),
  epsg = "4258",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "3",
  moveCAN = TRUE,
  rawcols = FALSE
)

Source

IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).

Arguments

ccaa

A vector of names and/or codes for autonomous communities or NULL to get all the autonomous communities. See Details.

moveCAN

A logical TRUE/FALSE or a vector of coordinates c(lat, lon). It places the Canary Islands close to Spain's mainland. Initial position can be adjusted using the vector of coordinates. See Displacing the Canary Islands.

...

Arguments passed on to esp_get_nuts

spatialtype

Type of geometry to be returned:

  • "LB": Labels - point object.

  • "RG": Regions - polygon object.

year

Release year. See esp_get_nuts() for esp_get_ccaa() and Details for esp_get_ccaa_siane()

epsg

projection of the map: 4-digit EPSG code. One of:

  • "4258": ETRS89

  • "4326": WGS84

  • "3035": ETRS89 / ETRS-LAEA

  • "3857": Pseudo-Mercator

cache

A logical whether to do caching. Default is TRUE. See About caching.

update_cache

A logical whether to update cache. Default is FALSE. When set to TRUE it would force a fresh download of the source file.

cache_dir

A path to a cache directory. See About caching.

verbose

Logical, displays information. Useful for debugging, default is FALSE.

resolution

Resolution of the polygon. Values available are 3, 6.5 or 10.

rawcols

Logical. Setting this to TRUE would add the raw columns of the dataset provided by IGN.

Value

A sf object specified by spatialtype.

Details

When using ccaa you can use and mix names and NUTS codes (levels 1 or 2), ISO codes (corresponding to level 2) or codauto (see esp_codelist). Ceuta and Melilla are considered as Autonomous Communities on this function.

When calling a NUTS1 level, all the Autonomous Communities of that level would be added.

On esp_get_ccaa_siane(), year could be passed as a single year (YYYY format, as end of year) or as a specific date (YYYY-MM-DD format). Historical information starts as of 2005.

About caching

You can set your cache_dir with esp_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

If you experience any problem on download, try to download the corresponding .geojson file by any other method and save it on your cache_dir. Use the option verbose = TRUE for debugging the API query.

Displacing the Canary Islands

While moveCAN is useful for visualization, it would alter the actual geographic position of the Canary Islands. When using the output for spatial analysis or using tiles (e.g. with esp_getTiles() or addProviderEspTiles()) this option should be set to FALSE in order to get the actual coordinates, instead of the modified ones. See also esp_move_can() for displacing stand-alone sf objects.

See also

Other political: esp_codelist, esp_get_can_box(), esp_get_capimun(), esp_get_comarca(), esp_get_country(), esp_get_gridmap, esp_get_munic(), esp_get_nuts(), esp_get_prov(), esp_get_simpl_prov()

Examples

ccaa <- esp_get_ccaa()

library(ggplot2)

ggplot(ccaa) +
  geom_sf()


# Random CCAA
Random <- esp_get_ccaa(ccaa = c(
  "Euskadi",
  "Catalunya",
  "ES-EX",
  "Canarias",
  "ES52",
  "01"
))


ggplot(Random) +
  geom_sf(aes(fill = codauto), show.legend = FALSE) +
  geom_sf_label(aes(label = codauto), alpha = 0.3)
#> Warning: st_point_on_surface may not give correct results for longitude/latitude data


# All CCAA of a Zone plus an addition

Mix <-
  esp_get_ccaa(ccaa = c("La Rioja", "Noroeste"))

ggplot(Mix) +
  geom_sf()


# Combine with giscoR to get countries
# \donttest{

library(giscoR)
library(sf)

res <- 20 # Set same resoluion

europe <- gisco_get_countries(resolution = res)
ccaa <- esp_get_ccaa(moveCAN = FALSE, resolution = res)

# Transform to same CRS
europe <- st_transform(europe, 3035)
ccaa <- st_transform(ccaa, 3035)

ggplot(europe) +
  geom_sf(fill = "#DFDFDF", color = "#656565") +
  geom_sf(data = ccaa, fill = "#FDFBEA", color = "#656565") +
  coord_sf(
    xlim = c(23, 74) * 10e4,
    ylim = c(14, 55) * 10e4
  ) +
  theme(panel.background = element_rect(fill = "#C7E7FB"))

# }