Package {mapSpain}

Type:	Package
Title:	Administrative Boundaries and Static Map Tiles for Spain
Version:	1.2.0
Description:	Administrative boundaries of Spain at several levels (Autonomous Communities and Cities, provinces, municipalities and 'NUTS'), based on 'GISCO' from 'Eurostat' https://ec.europa.eu/eurostat/web/gisco and 'CartoBase ANE' from 'Instituto Geográfico Nacional' https://www.ign.es/. Includes tools to download and process static map tiles and a 'leaflet' plugin for Spanish public administration tile providers.
License:	GPL-3
URL:	https://ropenspain.github.io/mapSpain/, https://github.com/rOpenSpain/mapSpain
BugReports:	https://github.com/rOpenSpain/mapSpain/issues
Depends:	R (≥ 4.1.0)
Imports:	cli (≥ 3.6.0), countrycode (≥ 1.2.0), giscoR (≥ 1.0.0), httr2 (≥ 1.2.0), jsonlite, leaflet (≥ 2.0.0), lifecycle, rappdirs (≥ 0.3.0), sf (≥ 1.0.0), terra (≥ 1.1-4), tibble, tools, utils
Suggests:	dplyr, ggplot2 (≥ 3.5.0), knitr, quarto, testthat (≥ 3.0.0), tidyterra, withr
VignetteBuilder:	quarto
Config/Needs/check:	curl
Config/Needs/coverage:	covr
Config/Needs/website:	ragg, reactable, rnaturalearth, tidyverse, devtools, remotes, ropenspain/rostemplate, ropensci/rnaturalearthhires, geodata, sessioninfo, sfheaders, rapidjsonr, jsonify, geometries, geobounds
Config/roxygen2/markdown:	TRUE
Config/roxygen2/version:	8.0.0
Config/testthat/edition:	3
Config/testthat/parallel:	true
Copyright:	© EuroGeographics for the administrative boundaries. Atlas Nacional de España (ANE) CC-BY 4.0 <http://www.ign.es>. INE <https://www.ine.es/en/index.htm>
Encoding:	UTF-8
LazyData:	true
X-schema.org-applicationCategory:	cartography
X-schema.org-isPartOf:	https://ropenspain.es/
X-schema.org-keywords:	ropenspain, tiles, r, maps, spatial, rstats, r-package, municipalities, spain, gisco, provinces, ign, autonomous-communities, administrative-boundaries, static-tiles, cran, ggplot2, gis, nuts, ccaa
NeedsCompilation:	no
Packaged:	2026-06-17 12:41:37 UTC; diego
Author:	Diego Hernangómez [aut, cre, cph], Eurostat [cph], Instituto Geográfico Nacional [cph], Francisco J. Goerlich [ctb]
Maintainer:	Diego Hernangómez <diego.hernangomezherrero@gmail.com>
Repository:	CRAN
Date/Publication:	2026-06-17 14:50:02 UTC

mapSpain: Administrative Boundaries and Static Map Tiles for Spain

Description

Administrative boundaries of Spain at several levels (Autonomous Communities and Cities, provinces, municipalities and 'NUTS'), based on 'GISCO' from 'Eurostat' https://ec.europa.eu/eurostat/web/gisco and 'CartoBase ANE' from 'Instituto Geográfico Nacional' https://www.ign.es/. Includes tools to download and process static map tiles and a 'leaflet' plugin for Spanish public administration tile providers.

Author(s)

Maintainer: Diego Hernangómez diego.hernangomezherrero@gmail.com (ORCID) [copyright holder]

Authors:

• Diego Hernangómez diego.hernangomezherrero@gmail.com (ORCID) [copyright holder]

Other contributors:

• Eurostat (ROR) [copyright holder]

• Instituto Geográfico Nacional (ROR) [copyright holder]

• Francisco J. Goerlich (ORCID) [contributor]

See Also

Useful links:

• https://ropenspain.github.io/mapSpain/

• https://github.com/rOpenSpain/mapSpain

• Report bugs at https://github.com/rOpenSpain/mapSpain/issues

Add a tile layer from Spanish public administrations to a leaflet map

Description

Add a tile layer from Spanish public administrations to a leaflet map

Usage

addProviderEspTiles(
  map,
  provider,
  layerId = NULL,
  group = NULL,
  options = leaflet::providerTileOptions()
)

Arguments

Value

modified map object

Source

https://dieghernan.github.io/leaflet-providersESP/, a plugin for leaflet, v1.3.3.

See Also

• leaflet::leaflet().

• leaflet::addTiles().

• leaflet::addWMSTiles().

• esp_tiles_providers.

Static map tiles and imagery: esp_get_tiles(), esp_make_provider()

Examples

library(leaflet)
leafmap <- leaflet(width = "100%", height = "60vh") |>
  setView(lat = 40.4166, lng = -3.7038400, zoom = 10) |>
  addTiles(group = "Default (OSM)") |>
  addProviderEspTiles(
    provider = "IDErioja.Claro",
    group = "IDErioja Claro"
  ) |>
  addProviderEspTiles(
    provider = "RedTransporte.Carreteras",
    group = "Carreteras"
  ) |>
  addLayersControl(
    baseGroups = c("IDErioja Claro", "Default (OSM)"),
    overlayGroups = "Carreteras",
    options = layersControlOptions(collapsed = FALSE)
  )

leafmap

Check access to SIANE data resources

Description

Check whether R has access to resources at https://github.com/rOpenSpain/mapSpain/tree/sianedata.

Usage

esp_check_access()

Value

Logical scalar, TRUE if accessible and FALSE otherwise.

See Also

giscoR::gisco_check_access().

Examples

esp_check_access()

Clear your mapSpain cache directory

Description

Use this function with caution. It clears your cached data and configuration, specifically:

• Deletes the mapSpain configuration directory (tools::R_user_dir("mapSpain", "config")).

• Deletes the cache_dir directory and its contents.

• Clears the value stored in Sys.getenv("MAPSPAIN_CACHE_DIR").

Usage

esp_clear_cache(config = FALSE, cached_data = TRUE, verbose = FALSE)

Arguments

Details

This is an aggressive function intended to reset your installation as if you had never installed or used mapSpain.

Value

Invisible. This function is called for its side effects.

See Also

tools::R_user_dir()

Cache management utilities: esp_set_cache_dir()

Examples

# Do not run this. It would modify your current state.
## Not run: 
my_cache <- esp_detect_cache_dir()

# Set an example cache.
ex <- file.path(tempdir(), "example", "cache")
esp_set_cache_dir(ex, verbose = FALSE)

# Restore the initial cache.
esp_clear_cache(verbose = TRUE)

esp_set_cache_dir(my_cache)
identical(my_cache, esp_detect_cache_dir())

## End(Not run)

Spanish subdivision codes and names

Description

A tibble object used internally to translate codes and names for different Spanish subdivisions. This tibble provides a hierarchical representation of Spain's subdivisions, including NUTS 1, Autonomous Communities and Cities (equivalent to NUTS 2), provinces and province-level NUTS 3 units. See the note below for coverage details.

Format

A tibble with 59 rows and columns:

nuts1.code

NUTS 1 code.

nuts1.name

NUTS 1 name.

nuts1.name.alt

NUTS 1 alternative name.

nuts1.shortname.es

NUTS 1 short (common) name (Spanish).

codauto

INE code of the Autonomous Community or City.

iso2.ccaa.code

ISO2 code of the Autonomous Community or City.

nuts2.code

NUTS 2 code.

ine.ccaa.name

INE name of the Autonomous Community or City.

iso2.ccaa.name.es

ISO2 name of the Autonomous Community or City (Spanish).

iso2.ccaa.name.ca

ISO2 name of the Autonomous Community or City (Catalan).

iso2.ccaa.name.gl

ISO2 name of the Autonomous Community or City (Galician).

iso2.ccaa.name.eu

ISO2 name of the Autonomous Community or City (Basque).

nuts2.name

NUTS 2 name.

cldr.ccaa.name.en

CLDR name of the Autonomous Community or City (English).

cldr.ccaa.name.es

CLDR name of the Autonomous Community or City (Spanish).

cldr.ccaa.name.ca

CLDR name of the Autonomous Community or City (Catalan).

cldr.ccaa.name.ga

CLDR name of the Autonomous Community or City (Galician).

cldr.ccaa.name.eu

CLDR name of the Autonomous Community or City (Basque).

ccaa.shortname.en

Short (common) name of the subdivision (English).

ccaa.shortname.es

Short (common) name of the subdivision (Spanish).

ccaa.shortname.ca

Short (common) name of the subdivision (Catalan).

ccaa.shortname.ga

Short (common) name of the subdivision (Galician).

ccaa.shortname.eu

Short (common) name of the subdivision (Basque).

cpro

INE code of the province.

iso2.prov.code

ISO2 code of the province.

nuts.prov.code

NUTS code of the province.

ine.prov.name

INE name of the province.

iso2.prov.name.es

ISO2 name of the province (Spanish).

iso2.prov.name.ca

ISO2 name of the province (Catalan).

iso2.prov.name.ga

ISO2 name of the province (Galician).

iso2.prov.name.eu

ISO2 name of the province (Basque).

cldr.prov.name.en

CLDR name of the province (English).

cldr.prov.name.es

CLDR name of the province (Spanish).

cldr.prov.name.ca

CLDR name of the province (Catalan).

cldr.prov.name.ga

CLDR name of the province (Galician).

cldr.prov.name.eu

CLDR name of the province (Basque).

prov.shortname.en

Short (common) name of the province (English).

prov.shortname.es

Short (common) name of the province (Spanish).

prov.shortname.ca

Short (common) name of the province (Catalan).

prov.shortname.ga

Short (common) name of the province (Galician).

prov.shortname.eu

Short (common) name of the province (Basque).

nuts3.code

NUTS 3 code.

nuts3.name

NUTS 3 name.

nuts3.shortname.es

NUTS 3 short (common) name.

Note

Although NUTS 2 aligns with the first subdivision level of Spain (Autonomous Communities and Cities), NUTS 3 does not correspond to the second subdivision level of Spain (provinces). NUTS 3 provides dedicated codes for major islands, whereas provinces do not.

Ceuta and Melilla have special status as Autonomous Cities but are represented at the Autonomous Communities and Cities level with a single province, like Madrid, Asturias or Murcia, in this database.

Source

• INE: Instituto Nacional de Estadística, https://www.ine.es/.

• Eurostat (NUTS): https://ec.europa.eu/eurostat/web/nuts/overview.

• ISO: https://www.iso.org/obp/ui/#iso:code:3166:ES.

• CLDR: https://www.unicode.org/cldr/charts/48/subdivisionNames/index.html

See Also

Included package datasets: esp_nuts_2024, esp_tiles_providers, pobmun25

Examples

data("esp_codelist")
esp_codelist

Convert and translate Spanish subdivision names and codes

Description

Convert Spanish subdivision names or identifiers between different coding schemes such as NUTS, ISO2 and province codes, or obtain human-readable names.

Usage

esp_dict_region_code(sourcevar, origin = "text", destination = "text")

esp_dict_translate(sourcevar, lang = "en", all = FALSE)

Arguments

Details

This function uses internal dictionaries together with countrycode to map between schemes. When ⁠origin == destination == "text"⁠ the input is returned unchanged. Mixing names from different administrative levels, for example Autonomous Community or City and province, may produce NA values for some entries.

Value

esp_dict_region_code() returns a character vector with converted subdivision identifiers or names. If a value cannot be matched, the corresponding element will be NA and a warning is emitted via cli::cli_alert_warning().

esp_dict_translate() translates a vector of names from one language to another. If all = FALSE, it returns a character vector with the translated name for each element of sourcevar. If all = TRUE, it returns a named list where each element contains all available translations for the corresponding input value.

Examples

vals <- c("Errioxa", "Coruna", "Gerona", "Madrid")

esp_dict_region_code(vals)
esp_dict_region_code(vals, destination = "nuts")
esp_dict_region_code(vals, destination = "cpro")
esp_dict_region_code(vals, destination = "iso2")

# From ISO2 to other codes.

iso2vals <- c("ES-M", "ES-S", "ES-SG")
esp_dict_region_code(iso2vals, origin = "iso2")
esp_dict_region_code(iso2vals,
  origin = "iso2",
  destination = "nuts"
)
esp_dict_region_code(iso2vals,
  origin = "iso2",
  destination = "cpro"
)

# Mixing levels.
valsmix <- c("Centro", "Andalucia", "Seville", "Menorca")
esp_dict_region_code(valsmix, destination = "nuts")

esp_dict_region_code(valsmix, destination = "codauto")
esp_dict_region_code(valsmix, destination = "iso2")

vals <- c("La Rioja", "Sevilla", "Madrid", "Jaen", "Orense", "Baleares")

esp_dict_translate(vals)
esp_dict_translate(vals, lang = "es")
esp_dict_translate(vals, lang = "ca")
esp_dict_translate(vals, lang = "eu")
esp_dict_translate(vals, lang = "ga")

esp_dict_translate(vals, lang = "ga", all = TRUE)

Canary Islands inset box and outline

Description

Create an sf POLYGON or LINESTRING that can be used to mark or frame the Canary Islands when they are displayed as an inset on maps of Spain. This object is useful together with esp_move_can() and the moveCAN arguments available in other mapSpain getters.

esp_get_can_provinces() returns a small LINESTRING used to mark the separator between the two provinces of the Canary Islands. This helper is intended for cartographic use when composing inset maps of Spain.

Usage

esp_get_can_box(
  style = c("right", "left", "box", "poly"),
  moveCAN = TRUE,
  epsg = 4258
)

esp_get_can_provinces(moveCAN = TRUE, epsg = "4258")

Arguments

Details

The style parameter controls the geometry returned:

• "box": a rectangular boundary returned as a LINESTRING.

• "poly": a slightly expanded rectangle returned as a filled POLYGON.

• "left" / "right": decorative LINESTRING variants that follow the western or eastern side of the islands respectively.

Value

An sf object: a POLYGON (when style = "poly") or a LINESTRING (other styles).

Source

Coordinates of esp_get_can_provinces() derived from CartoBase ANE (se89_mult_admin_provcan_l.shp).

See Also

Helpers for Canary Islands insets and displacement: esp_move_can()

Examples

provs <- esp_get_prov()
box <- esp_get_can_box()
line <- esp_get_can_provinces()

library(ggplot2)
ggplot(provs) +
  geom_sf() +
  geom_sf(data = box, linewidth = 0.15) +
  geom_sf(data = line, linewidth = 0.15) +
  theme_linedraw()


# Displacing the Canary Islands by a custom offset.
displace <- c(15, 0)
provs_disp <- esp_get_prov(moveCAN = displace)
box_disp <- esp_get_can_box(style = "left", moveCAN = displace)
line_disp <- esp_get_can_provinces(moveCAN = displace)
ggplot(provs_disp) +
  geom_sf() +
  geom_sf(data = box_disp, linewidth = 0.15) +
  geom_sf(data = line_disp, linewidth = 0.15) +
  theme_linedraw()

# Example using the polygon style together with other layers.
library(giscoR)
res <- "20"
countries <- gisco_get_countries(
  res = res, epsg = "4326",
  country = c("France", "Portugal", "Andorra", "Morocco", "Argelia")
)
can_box <- esp_get_can_box(
  style = "poly", epsg = "4326",
  moveCAN = c(12.5, 0)
)
ccaa <- esp_get_ccaa(res = res, epsg = "4326", moveCAN = c(12.5, 0))
ggplot(countries) +
  geom_sf(fill = "#DFDFDF") +
  geom_sf(data = can_box, fill = "#C7E7FB", linewidth = 1) +
  geom_sf(data = ccaa, fill = "#FDFBEA") +
  coord_sf(xlim = c(-10, 4.3), ylim = c(34.6, 44)) +
  theme(
    panel.background = element_rect(fill = "#C7E7FB"),
    panel.grid = element_blank()
  )

City where the municipal public authorities are based from SIANE

Description

Get a sf POINT with the location of the political powers for each municipality.

Note that this differs from the centroid of the boundaries of the municipality, returned by esp_get_munic_siane().

Usage

esp_get_capimun(
  year = Sys.Date(),
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  region = NULL,
  munic = NULL,
  moveCAN = TRUE,
  rawcols = FALSE
)

Arguments

Details

When using region you can use and mix names and NUTS codes (levels 1, 2 or 3), ISO codes (corresponding to level 2 or 3) or "cpro" (see esp_codelist).

When calling a higher level (province, Autonomous Community or City, or NUTS 1), all municipalities of that level are added.

Value

A sf object.

Note

Although mapSpain supplies cartographically suitable datasets, a historical database of Spanish municipal boundaries is also available, offering higher-resolution geometries that may be more appropriate for GIS-oriented workflows:

• Goerlich, F. J. & Pérez Vázquez, P. (2025). Base de datos histórica de contornos municipales de España -LAU2boundaries4Spain- [Data set]. Zenodo. doi:10.5281/zenodo.15345101, https://www.uv.es/goerlich/Ivie/LAU2boundaries4Spain.html.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Political and administrative boundary datasets: 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_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Datasets sourced from CartoBase ANE (Atlas Nacional de España): esp_get_ccaa_siane(), esp_get_countries_siane(), esp_get_munic_siane(), esp_get_prov_siane(), esp_get_spain_siane(), esp_siane_bulk_download()

Municipality-level datasets: esp_get_munic(), esp_get_munic_siane()

Examples

# Compare municipality centroids against esp_get_capimun().

# Get the municipality boundary.
area <- esp_get_munic_siane(munic = "Valladolid", epsg = 3857)

# Area in km2.
print(paste0(round(as.double(sf::st_area(area)) / 1000000, 2), " km2"))

# Extract the centroid.
centroid <- sf::st_centroid(area)
centroid$type <- "Centroid"

# Compare with capimun.
capimun <- esp_get_capimun(munic = "Valladolid", epsg = 3857)
capimun$type <- "Capimun"

# Join both point geometries.
points <- dplyr::bind_rows(centroid, capimun)

# Check on a plot.
library(ggplot2)

ggplot(points) +
  geom_sf(data = area, fill = NA, color = "blue") +
  geom_sf(data = points, aes(fill = type), size = 5, shape = 21) +
  scale_fill_manual(values = c("green", "red")) +
  labs(title = "Centroid vs. capimun")

Autonomous Communities and Cities of Spain from GISCO

Description

Get Autonomous Communities and Cities of Spain at a specified scale.

Usage

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

Arguments

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 included at the Autonomous Communities and Cities level in this function.

When calling a NUTS 1 level, all Autonomous Communities and Cities of that level are added.

Value

A sf object.

Note

Please check the download and usage provisions on giscoR::gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/.

Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.

See Also

Political and administrative boundary datasets: esp_get_capimun(), 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_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Datasets sourced from GISCO: esp_get_munic(), esp_get_nuts(), esp_get_prov(), esp_get_spain()

Examples

ccaa <- esp_get_ccaa()

library(ggplot2)

ggplot(ccaa) +
  geom_sf()

# Random Autonomous Communities and Cities.
random_ccaa <- esp_get_ccaa(ccaa = c(
  "Euskadi",
  "Catalunya",
  "ES-EX",
  "Canarias",
  "ES52",
  "01"
))

ggplot(random_ccaa) +
  geom_sf(aes(fill = codauto), show.legend = FALSE) +
  geom_sf_label(aes(label = codauto), alpha = 0.3) +
  coord_sf(crs = 3857)

# All Autonomous Communities and Cities of a NUTS 1 region plus one.

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

ggplot(mixed) +
  geom_sf()

# Combine with giscoR to get countries.


library(giscoR)
library(sf)

res <- 20 # Use the same resolution.

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

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,
    crs = 3035
  ) +
  theme(panel.background = element_rect(fill = "#C7E7FB"))

Autonomous Communities and Cities of Spain from SIANE

Description

Get Autonomous Communities and Cities of Spain at a specified scale.

Usage

esp_get_ccaa_siane(
  ccaa = NULL,
  year = Sys.Date(),
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = c(3, 6.5, 10),
  moveCAN = TRUE,
  rawcols = FALSE
)

Arguments

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 included at the Autonomous Communities and Cities level in this function.

When calling a NUTS 1 level, all Autonomous Communities and Cities of that level are added.

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Political and administrative boundary datasets: esp_get_capimun(), esp_get_ccaa(), 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_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Datasets sourced from CartoBase ANE (Atlas Nacional de España): esp_get_capimun(), esp_get_countries_siane(), esp_get_munic_siane(), esp_get_prov_siane(), esp_get_spain_siane(), esp_siane_bulk_download()

Examples

ccaas1 <- esp_get_ccaa_siane()
dplyr::glimpse(ccaas1)

# Low resolution.
ccaas_low <- esp_get_ccaa_siane(
  rawcols = TRUE, moveCAN = FALSE,
  resolution = 10, epsg = 3035
)

library(ggplot2)

ggplot(ccaas_low) +
  geom_sf(aes(fill = nuts1.name)) +
  scale_fill_viridis_d(option = "cividis")

Comarcas of Spain

Description

Get comarcas of Spain. Comarcas are traditional informal territorial divisions comprising several municipalities that share geographical, economic or cultural traits, typically with poorly defined limits.

Usage

esp_get_comarca(
  region = NULL,
  comarca = NULL,
  moveCAN = TRUE,
  type = c("INE", "IGN", "AGR", "LIV"),
  epsg = 4258,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

Arguments

Details

When using region you can use and mix names and NUTS codes (levels 1, 2 or 3), ISO codes (corresponding to level 2 or 3) or "cpro" (see esp_codelist).

When calling a higher level (province, Autonomous Community or City, or NUTS 1), all comarcas of that level are added.

Value

A sf object.

About comarcas

Comarcas (English equivalent: district, county, area or zone) do not always have a formal legal status. They correspond mainly to natural areas (valleys, river basins and similar areas), historical regions or ancient kingdoms.

In the case of Spain, comarcas only have an administrative character legally recognized in Catalonia, the Basque Country, Navarra (named merindades instead), the region of El Bierzo (Castilla y Leon) and Aragon. Galicia, the Principality of Asturias and Andalusia have functional comarcas.

Types

esp_get_comarca() can retrieve several types of comarcas, each provided under different classification criteria.

• "INE": Comarcas defined by the National Statistics Institute (INE).

• "IGN": Official comarcas, only available for some Autonomous Communities and Cities, provided by the National Geographic Institute.

• "AGR": Agrarian comarcas defined by the Ministry of Agriculture, Fisheries and Food (MAPA).

• "LIV": Livestock comarcas defined by the Ministry of Agriculture, Fisheries and Food (MAPA).

Note

The use of the information contained on the INE website may be carried out by users or re-use agents, at their own risk, and they will be the sole liable parties in the case of having to answer to third parties due to damages arising from such use.

Source

INE: PC_Axis files, IGN, Ministry of Agriculture, Fisheries and Food (MAPA).

See Also

Political and administrative boundary datasets: esp_get_capimun(), esp_get_ccaa(), esp_get_ccaa_siane(), 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_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Examples

comarcas <- esp_get_comarca(moveCAN = FALSE)

library(ggplot2)

ggplot(comarcas) +
  geom_sf()

# IGN provides recognized comarcas.

rec <- esp_get_comarca(type = "IGN")

ggplot(rec) +
  geom_sf(aes(fill = t_comarca))

# Legal comarcas of Catalunya.

comarcas_cat <- esp_get_comarca("Catalunya", type = "IGN")

ggplot(comarcas_cat) +
  geom_sf(aes(fill = ine.prov.name)) +
  labs(fill = "Province")

Countries of the world from SIANE

Description

This dataset contains the administrative boundaries at country level of the world.

The data included in this cartographic database do not imply any opinion of the IGN regarding its legal status.

Usage

esp_get_countries_siane(
  year = Sys.Date(),
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL
)

Arguments

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

giscoR::gisco_get_countries().

Political and administrative boundary datasets: esp_get_capimun(), esp_get_ccaa(), esp_get_ccaa_siane(), esp_get_comarca(), esp_get_gridmap, esp_get_munic(), esp_get_munic_siane(), esp_get_nuts(), esp_get_prov(), esp_get_prov_siane(), esp_get_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Datasets sourced from CartoBase ANE (Atlas Nacional de España): esp_get_capimun(), esp_get_ccaa_siane(), esp_get_munic_siane(), esp_get_prov_siane(), esp_get_spain_siane(), esp_siane_bulk_download()

Examples

cntries <- esp_get_countries_siane()

library(ggplot2)
ggplot(cntries) +
  geom_sf()

National geographic grids from BDN (Nature Data Bank)

Description

Load an sf POLYGON object with the geographic grids of Spain as provided by the Banco de Datos de la Naturaleza (Nature Data Bank), under the Ministry of Environment (MITECO).

This dataset provides two accessors. esp_get_grid_BDN() extracts country-wide regular grids with resolutions of 5 x 5 or 10 x 10 kilometers for mainland Spain or the Canary Islands. esp_get_grid_BDN_ccaa() extracts 1 x 1 kilometer resolution grids for individual Autonomous Communities and Cities.

These grids are useful for biodiversity analysis, environmental monitoring, and spatial statistical applications.

esp_get_grid_BDN_ccaa() provides higher-resolution 1 x 1 kilometer grids for specific Autonomous Communities and Cities, useful for regional analysis with finer spatial detail.

Usage

esp_get_grid_BDN(
  resolution = c(10, 5),
  type = c("main", "canary"),
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

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

Arguments

Details

The BDN provides standardized geographic grids for Spain that follow the Nature Data Bank's specifications. The data are downloaded from the sianedata/MITECO/dist data branch and is regularly updated.

Value

A sf object.

Source

Data sourced from the Banco de Datos de la Naturaleza (BDN). See the repository structure: https://github.com/rOpenSpain/mapSpain/tree/sianedata/MITECO/dist

For more information about BDN grids and other resources, visit: https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-disponible/bdn-cart-aux-descargas-ccaa.html.

See Also

esp_get_ccaa()

Geographical grid datasets: esp_get_grid_ESDAC(), esp_get_grid_MTN()

Examples

# Load a 10 x 10 km grid for mainland Spain.
grid <- esp_get_grid_BDN(resolution = 10, type = "main")

# Visualize the grid.
library(ggplot2)

ggplot(grid) +
  geom_sf(fill = NA, color = "steelblue") +
  theme_light() +
  labs(title = "BDN Geographic Grid: 10x10 km Spain")

Get sf POLYGON of the national geographic grids from EEA

Description

This function is defunct because the source file is no longer available.

Usage

esp_get_grid_EEA(
  resolution = 100,
  type = "main",
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

Arguments

Value

A sf POLYGON.

Source

EEA reference grid.

National geographic grids from the European Soil Data Centre (ESDAC)

Description

Loads a sf POLYGON with the geographic grids of Spain as provided by the European Soil Data Centre (ESDAC).

Usage

esp_get_grid_ESDAC(
  resolution = c(10, 1),
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

Arguments

Value

A sf POLYGON.

Source

EEA reference grid.

References

• Panagos P., Van Liedekerke M., Jones A., Montanarella L., "European Soil Data Centre: Response to European policy support and public data requirements", (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003

• European Soil Data Centre (ESDAC), esdac.jrc.ec.europa.eu, European Commission, Joint Research Centre.

See Also

Geographical grid datasets: esp_get_grid_BDN(), esp_get_grid_MTN()

Examples

## Not run: 
grid <- esp_get_grid_ESDAC()
esp <- esp_get_spain(moveCAN = FALSE)

library(ggplot2)

ggplot(grid) +
  geom_sf() +
  geom_sf(data = esp, color = "grey50", fill = NA) +
  theme_light() +
  labs(title = "ESDAC Grid for Spain")

## End(Not run)

National geographic grids from IGN MTN (Mapa Topografico Nacional)

Description

Loads a sf POLYGON with the geographic grids of Spain.

Usage

esp_get_grid_MTN(
  grid = "MTN25_ETRS89_Peninsula_Baleares_Canarias",
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

Arguments

Details

Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/MTN.

Possible values of grid are:

MTN grids

A description of the MTN (Mapa Topografico Nacional) grids available:

MTN25_ED50_Peninsula_Baleares

MTN25 grid corresponding to the Peninsula and Balearic Islands, in ED50 and geographical coordinates (longitude, latitude). This is the real MTN25 grid, that is, the one that divides the current printed series of the map, taking into account special sheets and irregularities.

MTN50_ED50_Peninsula_Baleares

MTN50 grid corresponding to the Peninsula and Balearic Islands, in ED50 and geographical coordinates (longitude, latitude). This is the real MTN50 grid, that is, the one that divides the current printed series of the map, taking into account special sheets and irregularities.

MTN25_ETRS89_ceuta_melilla_alboran

MTN25 grid corresponding to Ceuta, Melilla, Alboran and Spanish territories in North Africa, adjusted to the new official geodetic reference system ETRS89, in geographical coordinates (longitude, latitude).

MTN25_ETRS89_Peninsula_Baleares_Canarias

MTN25 real grid corresponding to the Peninsula, the Balearic Islands and the Canary Islands, adjusted to the new ETRS89 official reference geodetic system, in geographical coordinates (longitude, latitude).

MTN50_ETRS89_Peninsula_Baleares_Canarias

MTN50 real grid corresponding to the Peninsula, the Balearic Islands and the Canary Islands, adjusted to the new ETRS89 official reference geodetic system, in geographical coordinates (longitude, latitude).

MTN25_RegCan95_Canarias

MTN25 grid corresponding to the Canary Islands, in REGCAN95 (WGS84 compatible) and geographic coordinates (longitude, latitude). It is the real MTN25 grid, that is, the one that divides the current printed series of the map, taking into account the special distribution of the Canary Islands sheets.

MTN50_RegCan95_Canarias

MTN50 grid corresponding to the Canary Islands, in REGCAN95 (WGS84 compatible) and geographic coordinates (longitude, latitude). This is the real grid of the MTN50, that is, the one that divides the current printed series of the map, taking into account the special distribution of the Canary Islands sheets.

Value

A sf POLYGON.

Source

IGN data distributed through the sianedata/MTN data branch (see https://github.com/rOpenSpain/mapSpain/tree/sianedata/MTN).

See Also

Geographical grid datasets: esp_get_grid_BDN(), esp_get_grid_ESDAC()

Examples

grid <- esp_get_grid_MTN(grid = "MTN50_ETRS89_Peninsula_Baleares_Canarias")

library(ggplot2)

ggplot(grid) +
  geom_sf() +
  theme_light() +
  labs(title = "MTN50 Grid for Spain")

Get a sf hexbin or squared POLYGON of Spain

Description

Loads a hexbin map (sf object) or a map of squares with boundaries of the provinces or Autonomous Communities and Cities of Spain.

Usage

esp_get_hex_prov(prov = NULL)

esp_get_hex_ccaa(ccaa = NULL)

esp_get_grid_prov(prov = NULL)

esp_get_grid_ccaa(ccaa = NULL)

Arguments

Details

Hexbin (or grid) maps have an advantage over traditional choropleth maps. In choropleths, regions with larger polygons tend to appear more prominent simply because of their size, which introduces visual bias. With hexbin maps, each region is represented equally, reducing this bias.

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).

Results are provided in EPSG:4258. Use sf::st_transform() to change the projection.

Value

A sf object.

See Also

esp_get_simpl().

Political and administrative boundary datasets: esp_get_capimun(), esp_get_ccaa(), esp_get_ccaa_siane(), esp_get_comarca(), esp_get_countries_siane(), esp_get_munic(), esp_get_munic_siane(), esp_get_nuts(), esp_get_prov(), esp_get_prov_siane(), esp_get_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Examples

esp <- esp_get_spain()
hexccaa <- esp_get_hex_ccaa()

library(ggplot2)

ggplot(hexccaa) +
  geom_sf(data = esp) +
  geom_sf(aes(fill = codauto), alpha = 0.3, show.legend = FALSE) +
  geom_sf_text(aes(label = label), check_overlap = TRUE) +
  theme_void() +
  labs(title = "Hexbin: Autonomous Communities and Cities")

hexprov <- esp_get_hex_prov()

ggplot(hexprov) +
  geom_sf(data = esp) +
  geom_sf(aes(fill = codauto), alpha = 0.3, show.legend = FALSE) +
  geom_sf_text(aes(label = label), check_overlap = TRUE) +
  theme_void() +
  labs(title = "Hexbin: Provinces")

gridccaa <- esp_get_grid_ccaa()

ggplot(gridccaa) +
  geom_sf(data = esp) +
  geom_sf(aes(fill = codauto), alpha = 0.3, show.legend = FALSE) +
  geom_sf_text(aes(label = label), check_overlap = TRUE) +
  theme_void() +
  labs(title = "Grid: Autonomous Communities and Cities")

gridprov <- esp_get_grid_prov()

ggplot(gridprov) +
  geom_sf(data = esp) +
  geom_sf(aes(fill = codauto), alpha = 0.3, show.legend = FALSE) +
  geom_sf_text(aes(label = label), check_overlap = TRUE) +
  theme_void() +
  labs(title = "Grid: Provinces")

River basin districts of Spain from SIANE

Description

River basin districts are the areas of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters.

Usage

esp_get_hydrobasin(
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = c(3, 6.5, 10),
  domain = c("land", "landsea")
)

Arguments

Details

Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Natural feature datasets: esp_get_hypsobath(), esp_get_landwater

Examples

hydroland <- esp_get_hydrobasin(domain = "land")
hydrolandsea <- esp_get_hydrobasin(domain = "landsea")

library(ggplot2)

ggplot(hydroland) +
  geom_sf(data = hydrolandsea, fill = "skyblue4", alpha = 0.4) +
  geom_sf(fill = "skyblue", alpha = 0.5) +
  geom_sf_text(aes(label = rotulo),
    size = 2, check_overlap = TRUE,
    fontface = "bold",
    family = "serif"
  ) +
  coord_sf(
    crs = 3857,
    xlim = c(-9.5, 4.5),
    ylim = c(35, 44)
  ) +
  theme_void()

Hypsometry and bathymetry of Spain from SIANE

Description

Dataset representing the hypsometry and bathymetry of Spain.

• Hypsometry represents the elevation and depth of features of the Earth's surface relative to mean sea level.

• Bathymetry is the measurement of the depth of water in oceans, rivers, or lakes.

Usage

esp_get_hypsobath(
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = c(3, 6.5),
  spatialtype = c("area", "line")
)

Arguments

Details

Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Natural feature datasets: esp_get_hydrobasin(), esp_get_landwater

Examples

# This code produces a plot and takes a few seconds to run.
library(ggplot2)

hypsobath <- esp_get_hypsobath()

# Tints from Wikipedia.
# https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Maps/Conventions/
# Topographic_maps

levels <- sort(unique(hypsobath$val_inf))

# Create the manual palette.
br_bath <- length(levels[levels < 0])
br_terrain <- length(levels) - br_bath
pal <- c(
  tidyterra::hypso.colors(br_bath, "wiki-2.0_bathy"),
  tidyterra::hypso.colors(br_terrain, "wiki-2.0_hypso")
)

# Plot the Canary Islands.
ggplot(hypsobath) +
  geom_sf(aes(fill = as.factor(val_inf)),
    color = NA
  ) +
  coord_sf(
    xlim = c(-18.6, -13),
    ylim = c(27, 29.5)
  ) +
  scale_fill_manual(values = pal) +
  guides(fill = guide_legend(
    title = "Elevation",
    direction = "horizontal",
    label.position = "bottom",
    title.position = "top",
    nrow = 1
  )) +
  theme(legend.position = "bottom")

# Plot mainland Spain.
ggplot(hypsobath) +
  geom_sf(aes(fill = as.factor(val_inf)),
    color = NA
  ) +
  coord_sf(
    xlim = c(-9.5, 4.4),
    ylim = c(35.8, 44)
  ) +
  scale_fill_manual(values = pal) +
  guides(fill = guide_legend(
    title = "Elevation",
    reverse = TRUE,
    keyheight = 0.8
  ))

Rivers and wetlands of Spain from SIANE

Description

Object representing rivers, lagoons, reservoirs and wetlands of Spain.

Usage

esp_get_rivers(
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = deprecated(),
  spatialtype = c("line", "area"),
  moveCAN = TRUE,
  name = NULL
)

esp_get_wetlands(
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  moveCAN = TRUE,
  name = NULL
)

Arguments

Details

Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Natural feature datasets: esp_get_hydrobasin(), esp_get_hypsobath()

Examples

# Use of regex.

regex1 <- esp_get_rivers(name = "Tajo|Segura")
unique(regex1$rotulo)

regex2 <- esp_get_rivers(name = "Tajo$| Segura")
unique(regex2$rotulo)

# See the difference.

# Rivers in Spain.
iberian <- giscoR::gisco_get_countries(
  country = c("ES", "PT", "FR"), resolution = 3
)

main_rivers <- esp_get_rivers() |>
  dplyr::filter(t_rio == 1)

library(ggplot2)

ggplot(iberian) +
  geom_sf() +
  geom_sf(data = main_rivers, color = "skyblue", linewidth = 2) +
  coord_sf(
    xlim = c(-10, 5),
    ylim = c(35, 44)
  )

# Wetlands in South-West Andalucia.
and <- esp_get_prov(c("Huelva", "Sevilla", "Cadiz"))
wetlands <- esp_get_wetlands()
wetlands_south <- sf::st_filter(wetlands, and)

ggplot(and) +
  geom_sf() +
  geom_sf(
    data = wetlands_south, fill = "skyblue",
    color = "skyblue", alpha = 0.5
  )

Municipalities of Spain from GISCO

Description

Get boundaries of municipalities in Spain.

Usage

esp_get_munic(
  year = 2024,
  epsg = 4258,
  cache = deprecated(),
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  region = NULL,
  munic = NULL,
  moveCAN = TRUE,
  ext = "gpkg"
)

Arguments

Details

When using region you can use and mix names and NUTS codes (levels 1, 2 or 3), ISO codes (corresponding to level 2 or 3) or "cpro" (see esp_codelist).

When calling a higher level (province, Autonomous Community or City, or NUTS 1), all municipalities of that level are added.

Value

A sf object.

Note

Please check the download and usage provisions on giscoR::gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/.

Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/statistical-units.

See Also

• giscoR::gisco_get_lau().

• giscoR::gisco_get_communes().

Political and administrative boundary datasets: esp_get_capimun(), esp_get_ccaa(), esp_get_ccaa_siane(), esp_get_comarca(), esp_get_countries_siane(), esp_get_gridmap, esp_get_munic_siane(), esp_get_nuts(), esp_get_prov(), esp_get_prov_siane(), esp_get_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Municipality-level datasets: esp_get_capimun(), esp_get_munic_siane()

Datasets sourced from GISCO: esp_get_ccaa(), esp_get_nuts(), esp_get_prov(), esp_get_spain()

Examples

# The Spanish Lapland:
# https://en.wikipedia.org/wiki/Celtiberian_Range

# Get municipalities.
spanish_laplad <- esp_get_munic(
  year = 2023,
  region = c(
    "Cuenca", "Teruel",
    "Zaragoza", "Guadalajara",
    "Soria", "Burgos",
    "La Rioja"
  )
)

breaks <- sort(c(0, 5, 10, 50, 100, 200, 500, 1000, Inf))
spanish_laplad$dens_breaks <- cut(spanish_laplad$POP_DENS_2023, breaks,
  dig.lab = 20
)

cut_labs <- prettyNum(breaks, big.mark = " ")[-1]
cut_labs[length(breaks)] <- "> 1000"

library(ggplot2)
ggplot(spanish_laplad) +
  geom_sf(aes(fill = dens_breaks), color = "grey30", linewidth = 0.1) +
  scale_fill_manual(
    values = hcl.colors(length(breaks) - 1, "Spectral"), na.value = "black",
    name = "people per sq. kilometer",
    labels = cut_labs,
    guide = guide_legend(
      direction = "horizontal",
      nrow = 1
    )
  ) +
  theme_void() +
  labs(
    title = "The Spanish Lapland",
    caption = giscoR::gisco_attributions()
  ) +
  theme(
    text = element_text(colour = "white"),
    plot.background = element_rect(fill = "grey2"),
    plot.title = element_text(hjust = 0.5),
    plot.subtitle = element_text(hjust = 0.5, face = "bold"),
    plot.caption = element_text(
      color = "grey60", hjust = 0.5, vjust = 0,
      margin = margin(t = 5, b = 10)
    ),
    legend.position = "bottom",
    legend.title.position = "top",
    legend.text.position = "bottom",
    legend.key.height = unit(0.5, "lines"),
    legend.key.width = unit(1, "lines")
  )

Municipalities of Spain from SIANE

Description

Get boundaries of municipalities in Spain.

Usage

esp_get_munic_siane(
  year = Sys.Date(),
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = c(3, 6.5, 10),
  region = NULL,
  munic = NULL,
  moveCAN = TRUE,
  rawcols = FALSE
)

Arguments

Details

When using region you can use and mix names and NUTS codes (levels 1, 2 or 3), ISO codes (corresponding to level 2 or 3) or "cpro" (see esp_codelist).

When calling a higher level (province, Autonomous Community or City, or NUTS 1), all municipalities of that level are added.

Value

A sf object.

Note

Although mapSpain supplies cartographically suitable datasets, a historical database of Spanish municipal boundaries is also available, offering higher-resolution geometries that may be more appropriate for GIS-oriented workflows:

• Goerlich, F. J. & Pérez Vázquez, P. (2025). Base de datos histórica de contornos municipales de España -LAU2boundaries4Spain- [Data set]. Zenodo. doi:10.5281/zenodo.15345101, https://www.uv.es/goerlich/Ivie/LAU2boundaries4Spain.html.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Political and administrative boundary datasets: 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_nuts(), esp_get_prov(), esp_get_prov_siane(), esp_get_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Datasets sourced from CartoBase ANE (Atlas Nacional de España): esp_get_capimun(), esp_get_ccaa_siane(), esp_get_countries_siane(), esp_get_prov_siane(), esp_get_spain_siane(), esp_siane_bulk_download()

Municipality-level datasets: esp_get_capimun(), esp_get_munic()

Examples

# Municipalities that have changed in the past: three snapshots.
munis2005 <- esp_get_munic_siane(year = 2005, rawcols = TRUE)
munis2015 <- esp_get_munic_siane(year = 2015, rawcols = TRUE)
munis2024 <- esp_get_munic_siane(year = 2024, rawcols = TRUE)

# Manipulate data.
library(dplyr)
allmunis_unique <- bind_rows(munis2005, munis2015, munis2024) |>
  distinct()

id_all <- allmunis_unique |>
  sf::st_drop_geometry() |>
  group_by(id_ine, name) |>
  count() |>
  ungroup() |>
  arrange(desc(n)) |>
  slice_head(n = 1) |>
  glimpse()

library(ggplot2)
allmunis_unique |>
  filter(id_ine == id_all$id_ine) |>
  ggplot() +
  geom_sf(aes(fill = as.factor(fecha_alta)),
    alpha = 0.7,
    show.legend = FALSE
  ) +
  scale_fill_viridis_d() +
  facet_wrap(~fecha_alta) +
  labs(
    title = id_all$name,
    subtitle = "Boundary changes over time",
    fill = ""
  )

Territorial Spanish units for statistics (NUTS) dataset

Description

The GISCO statistical unit dataset represents NUTS (Nomenclature of Territorial Units for Statistics) and statistical regions using multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions.

NUTS is a hierarchical system divided into three levels:

• NUTS 1: major socioeconomic regions.

• NUTS 2: basic regions for the application of regional policies.

• NUTS 3: small regions for specific diagnoses.

There is also a NUTS 0 level, which usually corresponds to the national boundaries.

Usage

esp_get_nuts(
  year = 2024,
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = 1,
  spatialtype = c("RG", "LB"),
  region = NULL,
  nuts_level = c("all", "0", "1", "2", "3"),
  moveCAN = TRUE,
  ext = "gpkg"
)

Arguments

Details

The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional country level (NUTS 0) is also available for countries where the nation at statistical level does not coincide with the administrative boundaries.

The NUTS classification has been officially established through Commission Delegated Regulation 2019/1755. An unofficial NUTS-like classification has been defined for the EFTA countries, candidate countries and potential candidates based on a bilateral agreement between Eurostat and the respective statistical agencies.

Value

A sf object.

Note

Please check the download and usage provisions on giscoR::gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/.

Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.

See Also

giscoR::gisco_get_nuts(), esp_dict_region_code().

Political and administrative boundary datasets: 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_prov(), esp_get_prov_siane(), esp_get_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

NUTS boundary datasets: esp_get_spain()

Datasets sourced from GISCO: esp_get_ccaa(), esp_get_munic(), esp_get_prov(), esp_get_spain()

Examples

nuts1 <- esp_get_nuts(nuts_level = 1, moveCAN = TRUE)

library(ggplot2)

ggplot(nuts1) +
  geom_sf() +
  labs(
    title = "NUTS 1: Displacing Canary Islands",
    caption = giscoR::gisco_attributions()
  )

nuts1_alt <- esp_get_nuts(nuts_level = 1, moveCAN = c(15, 0))

ggplot(nuts1_alt) +
  geom_sf() +
  labs(
    title = "NUTS 1: Displacing Canary Islands",
    subtitle = "to the right",
    caption = giscoR::gisco_attributions()
  )

nuts1_orig <- esp_get_nuts(nuts_level = 1, moveCAN = FALSE)

ggplot(nuts1_orig) +
  geom_sf() +
  labs(
    title = "NUTS 1",
    subtitle = "Canary Islands in their true location",
    caption = giscoR::gisco_attributions()
  )

and_orient <- esp_get_nuts(region = c(
  "Almeria", "Granada",
  "Jaen", "Malaga"
))

ggplot(and_orient) +
  geom_sf()

random_regions <- esp_get_nuts(region = c("ES1", "ES300", "ES51"))

ggplot(random_regions) +
  geom_sf() +
  labs(title = "Random Regions")

mixing_codes <- esp_get_nuts(region = c("ES4", "ES-PV", "Valencia"))

ggplot(mixing_codes) +
  geom_sf() +
  labs(title = "Mixing Codes")

Provinces of Spain from GISCO

Description

Get provinces of Spain at a specified scale.

Usage

esp_get_prov(prov = NULL, moveCAN = TRUE, ...)

Arguments

Details

When using prov you can use and mix names and NUTS codes (levels 1, 2 or 3), ISO codes (corresponding to level 2 or 3) or "cpro" (see esp_codelist).

Ceuta and Melilla are considered provinces in this dataset.

When calling a higher level (Autonomous Community or City, or NUTS 1), all provinces of that level are added.

Value

A sf object.

Note

Please check the download and usage provisions on giscoR::gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/.

Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.

See Also

Political and administrative boundary datasets: 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_siane(), esp_get_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Datasets sourced from GISCO: esp_get_ccaa(), esp_get_munic(), esp_get_nuts(), esp_get_spain()

Examples

prov <- esp_get_prov()

library(ggplot2)

ggplot(prov) +
  geom_sf() +
  theme_minimal()


# Random provinces.
random <- esp_get_prov(prov = c(
  "Zamora", "Palencia", "ES-GR",
  "ES521", "01"
))

ggplot(random) +
  geom_sf(aes(fill = codauto), show.legend = FALSE, alpha = 0.5) +
  scale_fill_manual(values = hcl.colors(nrow(random), "Spectral")) +
  theme_minimal()

# All provinces of a zone plus one addition.
mix <- esp_get_prov(prov = c(
  "Noroeste",
  "Castilla y Leon", "La Rioja"
))

mix$ccaa <- esp_dict_region_code(
  mix$codauto,
  origin = "codauto"
)

ggplot(mix) +
  geom_sf(aes(fill = ccaa), alpha = 0.5) +
  scale_fill_discrete(type = hcl.colors(5, "Temps")) +
  theme_classic()

# Available ISO codes.

allprovs <- esp_get_prov()

ggplot(allprovs) +
  geom_sf(fill = NA) +
  geom_sf_text(aes(label = iso2.prov.code),
    check_overlap = TRUE,
    fontface = "bold"
  ) +
  coord_sf(crs = 3857) +
  theme_void()

Provinces of Spain from SIANE

Description

Get provinces of Spain at a specified scale.

Usage

esp_get_prov_siane(
  prov = NULL,
  year = Sys.Date(),
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = c(3, 6.5, 10),
  moveCAN = TRUE,
  rawcols = FALSE
)

Arguments

Details

When using prov you can use and mix names and NUTS codes (levels 1, 2 or 3), ISO codes (corresponding to level 2 or 3) or "cpro" (see esp_codelist).

Ceuta and Melilla are considered provinces in this dataset.

When calling a higher level (Autonomous Community or City, or NUTS 1), all provinces of that level are added.

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Political and administrative boundary datasets: 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_simpl, esp_get_spain(), esp_get_spain_siane(), esp_siane_bulk_download()

Datasets sourced from CartoBase ANE (Atlas Nacional de España): esp_get_capimun(), esp_get_ccaa_siane(), esp_get_countries_siane(), esp_get_munic_siane(), esp_get_spain_siane(), esp_siane_bulk_download()

Examples

library(ggplot2)

esp_get_ccaa_siane() |>
  dplyr::glimpse() |>
  ggplot() +
  geom_sf()

Railways of Spain from SIANE

Description

Loads a sf LINESTRING or POINT object representing the nodes and railway lines of Spain.

Usage

esp_get_railway(
  year = Sys.Date(),
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = c("line", "point")
)

esp_get_stations(
  year = Sys.Date(),
  epsg = 4258,
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE
)

Arguments

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Transport infrastructure datasets: esp_get_roads()

Examples

provs <- esp_get_prov()
ccaa <- esp_get_ccaa()

# Railways.
rails <- esp_get_railway()

# Stations.
stations <- esp_get_stations()

# Map.

library(ggplot2)

ggplot(provs) +
  geom_sf(fill = "grey99", color = "grey50") +
  geom_sf(data = ccaa, fill = NA) +
  geom_sf(
    data = rails, aes(color = t_ffcc_desc),
    show.legend = FALSE,
    linewidth = 1.5
  ) +
  geom_sf(
    data = stations,
    color = "red", alpha = 0.5
  ) +
  scale_colour_viridis_d() +
  facet_wrap(~t_ffcc_desc) +
  theme_minimal()

Roads of Spain from SIANE

Description

Object representing the main roads of Spain.

Usage

esp_get_roads(
  year = Sys.Date(),
  epsg = "4258",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  moveCAN = TRUE
)

Arguments

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Transport infrastructure datasets: esp_get_railway()

Examples

country <- esp_get_spain()
roads <- esp_get_roads()

library(ggplot2)

ggplot(country) +
  geom_sf(fill = "grey90") +
  geom_sf(data = roads, aes(color = t_ctra_desc), show.legend = "line") +
  scale_color_manual(
    values = c("#003399", "#003399", "#ff0000", "#ffff00")
  ) +
  guides(color = guide_legend(direction = "vertical")) +
  theme_minimal() +
  labs(color = "Road type") +
  theme(legend.position = "bottom")

Simplified map of provinces and Autonomous Communities and Cities of Spain

Description

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
)

Arguments

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).

Value

A sf object.

Source

INE: PC-Axis files.

See Also

esp_get_gridmap().

Political and administrative boundary datasets: 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

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)

Boundaries of Spain from GISCO

Description

Returns the boundaries of Spain as a single sf POLYGON at a specified scale.

Usage

esp_get_spain(moveCAN = TRUE, ...)

Arguments

Details

Dataset derived from NUTS data provided by GISCO. Check esp_get_nuts() for details.

Value

A sf POLYGON object.

Note

Please check the download and usage provisions on giscoR::gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/.

Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.

See Also

Political and administrative boundary datasets: 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_simpl, esp_get_spain_siane(), esp_siane_bulk_download()

NUTS boundary datasets: esp_get_nuts()

Datasets sourced from GISCO: esp_get_ccaa(), esp_get_munic(), esp_get_nuts(), esp_get_prov()

Examples

original_can <- esp_get_spain(moveCAN = FALSE)

# One row only.
original_can

library(ggplot2)

ggplot(original_can) +
  geom_sf(fill = "grey70")

# Less resolution.
moved_can <- esp_get_spain(moveCAN = TRUE, resolution = 20)

ggplot(moved_can) +
  geom_sf(fill = "grey70")

Boundaries of Spain from SIANE

Description

Returns the boundaries of Spain as a single sf POLYGON.

Usage

esp_get_spain_siane(moveCAN = TRUE, ...)

Arguments

Value

A sf object.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Political and administrative boundary datasets: 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_simpl, esp_get_spain(), esp_siane_bulk_download()

Datasets sourced from CartoBase ANE (Atlas Nacional de España): esp_get_capimun(), esp_get_ccaa_siane(), esp_get_countries_siane(), esp_get_munic_siane(), esp_get_prov_siane(), esp_siane_bulk_download()

Examples

original_can <- esp_get_spain_siane(moveCAN = FALSE)

# One row only.
original_can

library(ggplot2)

ggplot(original_can) +
  geom_sf(fill = "grey70")

# Less resolution.
moved_can <- esp_get_spain_siane(moveCAN = TRUE, resolution = 10)

ggplot(moved_can) +
  geom_sf(fill = "grey70")

Get static map tiles from public administrations of Spain

Description

Get static map tiles based on a spatial object. Maps can be fetched from WMS and WMTS providers.

This function is an implementation of the JavaScript plugin leaflet-providersESP v1.3.3.

esp_get_attributions() gets the attribution of a tile provider defined by the type argument.

Usage

esp_get_tiles(
  x,
  type = "IDErioja",
  zoom = NULL,
  zoommin = 0,
  crop = TRUE,
  res = 512,
  bbox_expand = 0.05,
  transparent = TRUE,
  mask = FALSE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  options = NULL
)

esp_get_attributions(type, options = NULL)

Arguments

Details

Zoom levels are described on the OpenStreetMap wiki:

For a complete list of providers, see esp_tiles_providers.

Most WMS/WMTS providers provide tiles on "EPSG:3857". If the tile looks deformed, try projecting x first:

x <- sf::st_transform(x, 3857)

Value

A SpatRaster with 3 (RGB) or 4 (RGBA) layers, depending on the provider. See terra::rast().

Source

https://dieghernan.github.io/leaflet-providersESP/, a plugin for leaflet, v1.3.3.

See Also

• terra::rast().

• esp_tiles_providers.

giscoR::gisco_attributions()

Static map tiles and imagery: addProviderEspTiles(), esp_make_provider()

Examples

## Not run: 

# This example downloads data to your local computer.

segovia <- esp_get_prov_siane("segovia", epsg = 3857)
tile <- esp_get_tiles(segovia, "IGNBase.Todo")

library(ggplot2)
library(tidyterra)

ggplot(segovia) +
  geom_spatraster_rgb(data = tile, maxcell = Inf) +
  geom_sf(fill = NA, linewidth = 1)

# Another provider.

tile2 <- esp_get_tiles(segovia, type = "MDT")

ggplot(segovia) +
  geom_spatraster_rgb(data = tile2, maxcell = Inf) +
  geom_sf(fill = NA, linewidth = 1, color = "red")

# A custom WMTS provider.

custom_wmts <- esp_make_provider(
  id = "cyl_wmts",
  q = "https://www.ign.es/wmts/pnoa-ma?",
  service = "WMTS",
  layer = "OI.OrthoimageCoverage"
)

custom_wmts_tile <- esp_get_tiles(segovia, custom_wmts)

autoplot(custom_wmts_tile, maxcell = Inf) +
  geom_sf(data = segovia, fill = NA, color = "white", linewidth = 1)

# Example from https://leaflet-extras.github.io/leaflet-providers/preview/.
cartodb_dark <- list(
  id = "CartoDB_DarkMatter",
  q = "https://a.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}{r}.png"
)
cartodb_dark_tile <- esp_get_tiles(segovia, cartodb_dark,
  zoommin = 1,
  update_cache = TRUE
)

autoplot(cartodb_dark_tile, maxcell = Inf) +
  geom_sf(data = segovia, fill = NA, color = "white", linewidth = 1)

## End(Not run)

Create a custom tile provider

Description

Helper function for esp_get_tiles() that helps to create a custom provider.

Usage

esp_make_provider(id, q, service, layers, ...)

Arguments

Details

This function is meant to work with services provided under the OGC Standard.

Note that:

• mapSpain does not provide advice on the value of q.

• Currently, for WMTS requests only services with tilematrixset=GoogleMapsCompatible are supported.

Value

A named list with two elements id and q.

See Also

esp_get_tiles().

For a list of potential providers from Spain, check the IDEE Directory.

Static map tiles and imagery: addProviderEspTiles(), esp_get_tiles()

Examples

## Not run: 
custom_wmts <- esp_make_provider(
  id = "example",
  q = "https://www.ign.es/wmts/ign-base?",
  service = "WMTS",
  layer = "IGNBaseTodo"
)

x <- esp_get_ccaa("Castilla y León", epsg = 3857)

mytile <- esp_get_tiles(x, type = custom_wmts)

tidyterra::autoplot(mytile) +
  ggplot2::geom_sf(data = x, fill = NA)

## End(Not run)

Displace a sf object located in the Canary Islands

Description

Helper function to displace an external sf object, potentially representing a location in the Canary Islands, to align it with mapSpain objects generated with moveCAN = TRUE.

Usage

esp_move_can(x, moveCAN = TRUE)

Arguments

Details

This helper function makes it easier to represent objects located in the Canary Islands that have been obtained from sources other than mapSpain.

Value

A sf object of the same class and same CRS as x, displaced accordingly.

Displacing the Canary Islands

While moveCAN is useful for visualization, it will alter the actual geographic position of the Canary Islands. When using the output for spatial analysis or tiles (for example, with esp_get_tiles() or addProviderEspTiles()), set this option to FALSE to get the actual coordinates instead of the modified ones.

See Also

Helpers for Canary Islands insets and displacement: esp_get_can_box()

Examples

library(sf)
teide <- data.frame(
  name = "Teide Peak",
  lon = -16.6437593,
  lat = 28.2722883
)

teide_sf <- st_as_sf(teide, coords = c("lon", "lat"), crs = 4326)

# A mapSpain object with moveCAN = TRUE is displaced.

esp <- esp_get_spain(moveCAN = c(13, 0))

library(ggplot2)

ggplot(esp) +
  geom_sf() +
  geom_sf(data = teide_sf, color = "red") +
  labs(
    title = "Canary Islands displaced",
    subtitle = "But not the external Teide object"
  )

# Displace the external object too.

teide_sf_disp <- esp_move_can(teide_sf, moveCAN = c(13, 0))

ggplot(esp) +
  geom_sf() +
  geom_sf(data = teide_sf_disp, color = "red") +
  labs(
    title = "Canary Islands displaced",
    subtitle = "And also the external Teide object"
  )

NUTS 2024 for Spain sf object

Description

This dataset represents Spanish subdivisions at NUTS levels 0, 1, 2 and 3 according to the Nomenclature of Territorial Units for Statistics (NUTS) classification for 2024.

Format

An sf object with MULTIPOLYGON geometries at 1:1 million resolution in EPSG:4258 projection, containing 86 rows and 10 variables:

NUTS_ID

NUTS identifier.

LEVL_CODE

NUTS level code ⁠(0, 1, 2, 3)⁠.

CNTR_CODE

Eurostat country code.

NAME_LATN

NUTS name in Latin characters.

NUTS_NAME

NUTS name in the local alphabet.

MOUNT_TYPE

Mountain type, see Details.

URBN_TYPE

Urban type, see Details.

COAST_TYPE

Coastal type, see Details.

geo

Same as NUTS_ID, provided for compatibility with eurostat.

geometry

Geometry field.

Details

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.

Source

NUTS_RG_01M_2024_4326.gpkg file.

See Also

esp_get_nuts()

Included package datasets: esp_codelist, esp_tiles_providers, pobmun25

Examples

data("esp_nuts_2024")
head(esp_nuts_2024)

Set your mapSpain cache directory

Description

This function stores your cache_dir path on your local machine and loads it for future sessions. Use Sys.getenv("MAPSPAIN_CACHE_DIR") or esp_detect_cache_dir() to find the cached path.

Usage

esp_set_cache_dir(
  cache_dir = NULL,
  overwrite = FALSE,
  install = FALSE,
  verbose = TRUE
)

esp_detect_cache_dir()

Arguments

Details

By default, when no cache_dir is set, the package uses a folder inside base::tempdir() (files are temporary and removed when the R session ends). To persist a cache across R sessions, use esp_set_cache_dir(cache_dir, install = TRUE), which writes the chosen path to a configuration file under tools::R_user_dir("mapSpain", "config").

Value

esp_set_cache_dir() returns an invisible character string with the path to your cache_dir. It is primarily called for its side effect.

esp_detect_cache_dir() returns the path to the cache_dir used in the current session.

Caching strategies

Some files can be read from their online source without caching using the option cache = FALSE. Otherwise the source files are downloaded to your computer. mapSpain implements the following caching options:

• For occasional use, rely on the default tempdir()-based cache (no install).

• Modify the cache for a single session by setting esp_set_cache_dir(cache_dir = "a/path/here").

• For reproducible workflows, install a persistent cache with esp_set_cache_dir(cache_dir = "a/path/here", install = TRUE), which persists across R sessions.

• For caching specific files, use the cache_dir argument in the corresponding function.

Sometimes cached files may be corrupted. In that case, try re-downloading the data by setting update_cache = TRUE in the corresponding function.

If you experience download problems, try downloading the file by another method and save it to your cache_dir. Use verbose = TRUE to debug the API query and esp_detect_cache_dir() to identify your cache path.

Note

In mapSpain >= 1.0.0, the configuration file location has moved from rappdirs::user_config_dir("mapSpain", "R") to tools::R_user_dir("mapSpain", "config"). A migration function automatically transfers previous configuration files from the old to the new location. A message appears once during this migration.

See Also

tools::R_user_dir()

Cache management utilities: esp_clear_cache()

Examples

# Do not run this. It would modify your current state.
## Not run: 
my_cache <- esp_detect_cache_dir()

# Set an example cache.
ex <- file.path(tempdir(), "example", "cachenew")
esp_set_cache_dir(ex)

esp_detect_cache_dir()

# Restore the initial cache.
esp_set_cache_dir(my_cache)
identical(my_cache, esp_detect_cache_dir())

## End(Not run)


esp_detect_cache_dir()

SIANE bulk download

Description

Download zipped data from SIANE to the cache_dir and extract the relevant files.

Usage

esp_siane_bulk_download(
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

Value

An invisible character vector with the full paths of the extracted files. See Examples.

Source

CartoBase ANE (Atlas Nacional de España) provided by Instituto Geográfico Nacional (IGN), http://www.ign.es/web/ign/portal. Years available are 2005 up to today.

Copyright: https://centrodedescargas.cnig.es/CentroDescargas/cartobase-ane

Always acknowledge authorship using the following statements:

1. When the original digital product is not modified or altered, use one of the following statements:

   • CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

   • CartoBase ANE 2006-2024 CC-BY 4.0 Instituto Geográfico Nacional.

2. When a new product is generated:

   • Obra derivada de CartoBase ANE 2006-2024 CC-BY 4.0 ign.es.

Data distributed through the sianedata data branch, see https://github.com/rOpenSpain/mapSpain/tree/sianedata.

See Also

Political and administrative boundary datasets: 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_simpl, esp_get_spain(), esp_get_spain_siane()

Datasets sourced from CartoBase ANE (Atlas Nacional de España): esp_get_capimun(), esp_get_ccaa_siane(), esp_get_countries_siane(), esp_get_munic_siane(), esp_get_prov_siane(), esp_get_spain_siane()

Examples

tmp <- file.path(tempdir(), "testexample")
dest_files <- esp_siane_bulk_download(cache_dir = tmp)

# Read one file.
library(sf)
read_sf(dest_files[1]) |> head()

# Connect the function with the downloaded data.

connect <- esp_get_munic_siane(cache_dir = tmp, verbose = TRUE)

# The message shows that the file is already cached.

# Clean up.
unlink(tmp, force = TRUE, recursive = TRUE)

Public WMS and WMTS providers for Spain

Description

A named list of length 102, containing URL information from different public WMS and WMTS tile providers in Spain.

This dataset is an implementation of the JavaScript plugin leaflet-providersESP v1.3.3.

Format

A named list of available providers with the following structure:

Each list item is named with the provider alias. Each element contains two nested named lists: static with the parameters required to obtain static map tiles plus an additional item named attribution, and leaflet with additional parameters to pass to addProviderEspTiles().

Details

Providers available to be passed to type in esp_get_tiles() are:

• "IDErioja"

• "IDErioja.Base"

• "IDErioja.Relieve"

• "IDErioja.Claro"

• "IDErioja.Oscuro"

• "IGNBase"

• "IGNBase.Todo"

• "IGNBase.Gris"

• "IGNBase.TodoNoFondo"

• "IGNBase.Orto"

• "MDT"

• "MDT.Elevaciones"

• "MDT.Relieve"

• "MDT.CurvasNivel"

• "MDT.SpotElevation"

• "PNOA"

• "PNOA.MaximaActualidad"

• "PNOA.Mosaico"

• "OcupacionSuelo"

• "OcupacionSuelo.Ocupacion"

• "OcupacionSuelo.Usos"

• "LiDAR"

• "MTN"

• "Geofisica"

• "Geofisica.Terremotos10dias"

• "Geofisica.Terremotos30dias"

• "Geofisica.Terremotos365dias"

• "Geofisica.ObservedEvents"

• "Geofisica.HazardArea"

• "VigilanciaVolcanica"

• "VigilanciaVolcanica.ErupcionesHistoricas"

• "CaminoDeSantiago"

• "CaminoDeSantiago.CaminoFrances"

• "CaminoDeSantiago.CaminosFrancia"

• "CaminoDeSantiago.CaminosGalicia"

• "CaminoDeSantiago.CaminosDelNorte"

• "CaminoDeSantiago.CaminosAndaluces"

• "CaminoDeSantiago.CaminosCentro"

• "CaminoDeSantiago.CaminosEste"

• "CaminoDeSantiago.CaminosCatalanes"

• "CaminoDeSantiago.CaminosSureste"

• "CaminoDeSantiago.CaminosInsulares"

• "CaminoDeSantiago.CaminosPortugueses"

• "Catastro"

• "Catastro.Catastro"

• "Catastro.Parcela"

• "Catastro.CadastralParcel"

• "Catastro.CadastralZoning"

• "Catastro.Address"

• "Catastro.Building"

• "Catastro.BuildingPart"

• "Catastro.AdministrativeBoundary"

• "Catastro.AdministrativeUnit"

• "RedTransporte"

• "RedTransporte.Carreteras"

• "RedTransporte.Ferroviario"

• "RedTransporte.Aerodromo"

• "RedTransporte.AreaServicio"

• "RedTransporte.EstacionesFerroviario"

• "RedTransporte.Puertos"

• "Cartociudad"

• "Cartociudad.CodigosPostales"

• "Cartociudad.Direcciones"

• "NombresGeograficos"

• "UnidadesAdm"

• "UnidadesAdm.Limites"

• "UnidadesAdm.Unidades"

• "Hidrografia"

• "Hidrografia.MasaAgua"

• "Hidrografia.Cuencas"

• "Hidrografia.Subcuencas"

• "Hidrografia.POI"

• "Hidrografia.ManMade"

• "Hidrografia.LineaCosta"

• "Hidrografia.Rios"

• "Hidrografia.Humedales"

• "Militar"

• "Militar.CEGET1M"

• "Militar.CEGETM7814"

• "Militar.CEGETM7815"

• "Militar.CEGETM682"

• "Militar.CECAF1M"

• "ADIF"

• "ADIF.Vias"

• "ADIF.Nodos"

• "ADIF.Estaciones"

• "LimitesMaritimos"

• "LimitesMaritimos.LimitesMaritimos"

• "LimitesMaritimos.LineasBase"

• "Copernicus"

• "Copernicus.Forest"

• "Copernicus.ForestLeaf"

• "Copernicus.WaterWet"

• "Copernicus.SoilSeal"

• "Copernicus.GrassLand"

• "Copernicus.RiparianGreen"

• "Copernicus.RiparianLandCover"

• "Copernicus.Natura2k"

• "Copernicus.UrbanAtlas"

• "ParquesNaturales"

• "ParquesNaturales.Limites"

• "ParquesNaturales.ZonasPerifericas"

Source

https://dieghernan.github.io/leaflet-providersESP/, a plugin for leaflet, v1.3.3.

See Also

Included package datasets: esp_codelist, esp_nuts_2024, pobmun25

Examples

data("esp_tiles_providers")
# Get a single provider.

single <- esp_tiles_providers[["IGNBase.Todo"]]
single$static

single$leaflet

Population of Spain by municipality (2025)

Description

Population of Spain by municipality (2025)

Format

A tibble object with 8,132 rows containing population data by municipality in Spain for 2025.

cpro

INE code of the province.

provincia

Name of the province.

cmun

INE code of the municipality.

name

Name of the municipality.

pob25

Total population (2025).

men

Male population (2025).

women

Female population (2025).

Source

INE, Instituto Nacional de Estadística. https://www.ine.es/dyngs/INEbase/categoria.htm?c=Estadistica_P&cid=1254734710990.

See Also

Included package datasets: esp_codelist, esp_nuts_2024, esp_tiles_providers

Examples

data("pobmun25")