| Title: | 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. |
| Authors: | Diego Hernangómez [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-8457-4658>), Eurostat [cph] (ROR: <https://ror.org/033d3q980>), Instituto Geográfico Nacional [cph] (ROR: <https://ror.org/03yycdv57>), Francisco J. Goerlich [ctb] (ORCID: <https://orcid.org/0000-0003-1626-525X>) |
| Maintainer: | Diego Hernangómez <[email protected]> |
| License: | GPL-3 |
| Version: | 1.2.0 |
| Built: | 2026-06-22 15:24:07 UTC |
| Source: | https://github.com/rOpenSpain/mapSpain |
Add a tile layer from Spanish public administrations to a leaflet map
addProviderEspTiles( map, provider, layerId = NULL, group = NULL, options = leaflet::providerTileOptions() )addProviderEspTiles( map, provider, layerId = NULL, group = NULL, options = leaflet::providerTileOptions() )
map |
the map to add the tile layer to |
provider |
The name of the provider, see esp_tiles_providers or https://dieghernan.github.io/leaflet-providersESP/preview/. |
layerId |
the layer id to assign |
group |
the name of the group the newly created layers should belong to
(for |
options |
tile options |
modified map object
https://dieghernan.github.io/leaflet-providersESP/, a plugin for leaflet, v1.3.3.
Static map tiles and imagery:
esp_get_tiles(),
esp_make_provider()
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) ) leafmaplibrary(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
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").
esp_clear_cache(config = FALSE, cached_data = TRUE, verbose = FALSE)esp_clear_cache(config = FALSE, cached_data = TRUE, verbose = FALSE)
config |
Logical. If |
cached_data |
Logical. If |
verbose |
A logical value. If |
This is an aggressive function intended to reset your installation as if you had never installed or used mapSpain.
Invisible. This function is called for its side effects.
Cache management utilities:
esp_set_cache_dir()
# 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)# 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)
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.
A tibble with 59 rows and columns:
NUTS 1 code.
NUTS 1 name.
NUTS 1 alternative name.
NUTS 1 short (common) name (Spanish).
INE code of the Autonomous Community or City.
ISO2 code of the Autonomous Community or City.
NUTS 2 code.
INE name of the Autonomous Community or City.
ISO2 name of the Autonomous Community or City (Spanish).
ISO2 name of the Autonomous Community or City (Catalan).
ISO2 name of the Autonomous Community or City (Galician).
ISO2 name of the Autonomous Community or City (Basque).
NUTS 2 name.
CLDR name of the Autonomous Community or City (English).
CLDR name of the Autonomous Community or City (Spanish).
CLDR name of the Autonomous Community or City (Catalan).
CLDR name of the Autonomous Community or City (Galician).
CLDR name of the Autonomous Community or City (Basque).
Short (common) name of the subdivision (English).
Short (common) name of the subdivision (Spanish).
Short (common) name of the subdivision (Catalan).
Short (common) name of the subdivision (Galician).
Short (common) name of the subdivision (Basque).
INE code of the province.
ISO2 code of the province.
NUTS code of the province.
INE name of the province.
ISO2 name of the province (Spanish).
ISO2 name of the province (Catalan).
ISO2 name of the province (Galician).
ISO2 name of the province (Basque).
CLDR name of the province (English).
CLDR name of the province (Spanish).
CLDR name of the province (Catalan).
CLDR name of the province (Galician).
CLDR name of the province (Basque).
Short (common) name of the province (English).
Short (common) name of the province (Spanish).
Short (common) name of the province (Catalan).
Short (common) name of the province (Galician).
Short (common) name of the province (Basque).
NUTS 3 code.
NUTS 3 name.
NUTS 3 short (common) name.
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.
INE: Instituto Nacional de Estadística, https://www.ine.es/.
Eurostat (NUTS): https://ec.europa.eu/eurostat/web/nuts/overview.
CLDR: https://www.unicode.org/cldr/charts/48/subdivisionNames/index.html
Included package datasets:
esp_nuts_2024,
esp_tiles_providers,
pobmun25
data("esp_codelist") esp_codelistdata("esp_codelist") esp_codelist
Convert Spanish subdivision names or identifiers between different coding schemes such as NUTS, ISO2 and province codes, or obtain human-readable names.
esp_dict_region_code(sourcevar, origin = "text", destination = "text") esp_dict_translate(sourcevar, lang = "en", all = FALSE)esp_dict_region_code(sourcevar, origin = "text", destination = "text") esp_dict_translate(sourcevar, lang = "en", all = FALSE)
sourcevar |
Character string. Vector that contains the codes or names to be converted. |
origin, destination
|
Character string. Coding scheme of origin and
destination. One of |
lang |
Character string. Target language code. Available values are
|
all |
Logical. If |
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.
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.
countrycode::countrycode() and esp_codelist.
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)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)
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.
esp_get_can_box( style = c("right", "left", "box", "poly"), moveCAN = TRUE, epsg = 4258 ) esp_get_can_provinces(moveCAN = TRUE, epsg = "4258")esp_get_can_box( style = c("right", "left", "box", "poly"), moveCAN = TRUE, epsg = 4258 ) esp_get_can_provinces(moveCAN = TRUE, epsg = "4258")
style |
Character string. One of |
moveCAN |
A logical |
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
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.
An sf object: a POLYGON (when style = "poly") or a
LINESTRING (other styles).
Coordinates of esp_get_can_provinces() derived from CartoBase ANE
(se89_mult_admin_provcan_l.shp).
Helpers for Canary Islands insets and displacement:
esp_move_can()
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() )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() )
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().
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 )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 )
year |
Character string or number. Release year. It must use format
|
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
region |
Optional. A vector of region names, NUTS or ISO codes
(see |
munic |
Character string. A name or |
moveCAN |
A logical |
rawcols |
Logical. If |
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.
A sf object.
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.
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:
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.
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.
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()
# 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")# 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")
Get Autonomous Communities and Cities of Spain at a specified scale.
esp_get_ccaa(ccaa = NULL, moveCAN = TRUE, ...)esp_get_ccaa(ccaa = NULL, moveCAN = TRUE, ...)
ccaa |
Character string. A vector of names, codes or both for
Autonomous Communities and Cities, or |
moveCAN |
A logical |
... |
Arguments passed on to
|
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.
A sf object.
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.
https://gisco-services.ec.europa.eu/distribution/v2/.
Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.
Datasets sourced from GISCO:
esp_get_munic(),
esp_get_nuts(),
esp_get_prov(),
esp_get_spain()
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"))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"))
Get Autonomous Communities and Cities of Spain at a specified scale.
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 )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 )
ccaa |
Character string. A vector of names, codes or both for
Autonomous Communities and Cities, or |
year |
Character string or number. Release year. It must use format
|
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
resolution |
Character string or number. Resolution of the geospatial data. One of:
|
moveCAN |
A logical |
rawcols |
Logical. If |
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.
A sf object.
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.
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:
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.
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.
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()
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")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")
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.
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 )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 )
region |
Character string. A vector of names, codes or both for
provinces, or |
comarca |
Character string. A name or |
moveCAN |
A logical |
type |
Character string. One of |
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
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.
A sf object.
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.
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).
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.
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.
INE: PC_Axis files, IGN, Ministry of Agriculture, Fisheries and Food (MAPA).
Additional boundary datasets and representations:
esp_get_gridmap,
esp_get_simpl
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")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")
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.
esp_get_countries_siane( year = Sys.Date(), epsg = 4258, cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, country = NULL )esp_get_countries_siane( year = Sys.Date(), epsg = 4258, cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, country = NULL )
year |
Character string or number. Release year. It must use format
|
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
country |
Character vector of country codes. It can be a vector of
country names, ISO3 country codes or ISO2 country codes. See also
|
A sf object.
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.
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:
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.
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.
giscoR::gisco_get_countries().
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()
cntries <- esp_get_countries_siane() library(ggplot2) ggplot(cntries) + geom_sf()cntries <- esp_get_countries_siane() library(ggplot2) ggplot(cntries) + geom_sf()
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.
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 )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 )
resolution |
Numeric. Resolution of the grid in kilometers. Must be one of:
|
type |
Character. The geographic scope of the grid:
|
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
ccaa |
Character string. A vector of names, codes or both for
Autonomous Communities and Cities. See Details on |
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.
A sf object.
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.
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.
Geographical grid datasets:
esp_get_grid_ESDAC(),
esp_get_grid_MTN()
# 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")# 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")
Loads a sf POLYGON with the geographic grids of Spain as
provided by the European Soil Data Centre (ESDAC).
esp_get_grid_ESDAC( resolution = c(10, 1), update_cache = FALSE, cache_dir = NULL, verbose = FALSE )esp_get_grid_ESDAC( resolution = c(10, 1), update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
resolution |
Numeric. Resolution of the grid in kilometers. Can be |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
A sf POLYGON.
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.
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.
Geographical grid datasets:
esp_get_grid_BDN(),
esp_get_grid_MTN()
## 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)## 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)
Loads a sf POLYGON with the geographic grids of Spain.
esp_get_grid_MTN( grid = "MTN25_ETRS89_Peninsula_Baleares_Canarias", update_cache = FALSE, cache_dir = NULL, verbose = FALSE )esp_get_grid_MTN( grid = "MTN25_ETRS89_Peninsula_Baleares_Canarias", update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
grid |
Name of the grid to be loaded. See Details. |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/MTN.
Possible values of grid are:
| grid_name |
| MTN25_ED50_Peninsula_Baleares |
| MTN25_ETRS89_ceuta_melilla_alboran |
| MTN25_ETRS89_Peninsula_Baleares_Canarias |
| MTN25_RegCan95_Canarias |
| MTN50_ED50_Peninsula_Baleares |
| MTN50_ETRS89_Peninsula_Baleares_Canarias |
| MTN50_RegCan95_Canarias |
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.
A sf POLYGON.
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.
IGN data distributed through the sianedata/MTN data branch (see
https://github.com/rOpenSpain/mapSpain/tree/sianedata/MTN).
Geographical grid datasets:
esp_get_grid_BDN(),
esp_get_grid_ESDAC()
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")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")
sf hexbin or squared POLYGON of SpainLoads a hexbin map (sf object) or a map of squares with
boundaries of the provinces or Autonomous Communities and Cities of Spain.
esp_get_hex_prov(prov = NULL) esp_get_hex_ccaa(ccaa = NULL) esp_get_grid_prov(prov = NULL) esp_get_grid_ccaa(ccaa = NULL)esp_get_hex_prov(prov = NULL) esp_get_hex_ccaa(ccaa = NULL) esp_get_grid_prov(prov = NULL) esp_get_grid_ccaa(ccaa = NULL)
prov, ccaa
|
Character. A vector of names, codes or both for provinces
and Autonomous Communities and Cities, or |
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.
A sf object.
Additional boundary datasets and representations:
esp_get_comarca(),
esp_get_simpl
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")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 are the areas of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters.
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") )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") )
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
resolution |
Character string or number. Resolution of the geospatial data. One of:
|
domain |
Character string. Type of river basin district. Possible
values are |
Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.
A sf object.
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.
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:
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.
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.
Natural feature datasets:
esp_get_hypsobath(),
esp_get_landwater
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()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()
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.
esp_get_hypsobath( epsg = 4258, cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = c(3, 6.5), spatialtype = c("area", "line") )esp_get_hypsobath( epsg = 4258, cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = c(3, 6.5), spatialtype = c("area", "line") )
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
resolution |
Character string or number. Resolution of the geospatial data. One of:
|
spatialtype |
Character string. Spatial type of the output. Use
|
Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.
A sf object.
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.
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:
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.
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.
Natural feature datasets:
esp_get_hydrobasin(),
esp_get_landwater
# 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$val_inf)) # Create the manual palette. br_bath <- length(levels[levels < 0]) br_terrain <- length(levels) - br_bath pal <- c( tidyterra::hypso.colors(br_bath, "wiki-2.0_bathy"), tidyterra::hypso.colors(br_terrain, "wiki-2.0_hypso") ) # Plot the Canary Islands. ggplot(hypsobath) + geom_sf(aes(fill = as.factor(val_inf)), color = NA ) + coord_sf( xlim = c(-18.6, -13), ylim = c(27, 29.5) ) + scale_fill_manual(values = pal) + guides(fill = guide_legend( title = "Elevation", direction = "horizontal", label.position = "bottom", title.position = "top", nrow = 1 )) + theme(legend.position = "bottom") # Plot mainland Spain. ggplot(hypsobath) + geom_sf(aes(fill = as.factor(val_inf)), color = NA ) + coord_sf( xlim = c(-9.5, 4.4), ylim = c(35.8, 44) ) + scale_fill_manual(values = pal) + guides(fill = guide_legend( title = "Elevation", reverse = TRUE, keyheight = 0.8 ))# This code produces a plot and takes a few seconds to run. library(ggplot2) hypsobath <- esp_get_hypsobath() # Tints from Wikipedia. # https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Maps/Conventions/ # Topographic_maps levels <- sort(unique(hypsobath$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 ))
Object representing rivers, lagoons, reservoirs and wetlands of Spain.
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 )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 )
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
resolution |
|
spatialtype |
|
moveCAN |
A logical |
name |
Character string or |
Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.
A sf object.
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.
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:
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.
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.
Natural feature datasets:
esp_get_hydrobasin(),
esp_get_hypsobath()
# Use of regex. regex1 <- esp_get_rivers(name = "Tajo|Segura") unique(regex1$rotulo) regex2 <- esp_get_rivers(name = "Tajo$| Segura") unique(regex2$rotulo) # See the difference. # Rivers in Spain. iberian <- giscoR::gisco_get_countries( country = c("ES", "PT", "FR"), resolution = 3 ) main_rivers <- esp_get_rivers() |> dplyr::filter(t_rio == 1) library(ggplot2) ggplot(iberian) + geom_sf() + geom_sf(data = main_rivers, color = "skyblue", linewidth = 2) + coord_sf( xlim = c(-10, 5), ylim = c(35, 44) ) # Wetlands in South-West Andalucia. and <- esp_get_prov(c("Huelva", "Sevilla", "Cadiz")) wetlands <- esp_get_wetlands() wetlands_south <- sf::st_filter(wetlands, and) ggplot(and) + geom_sf() + geom_sf( data = wetlands_south, fill = "skyblue", color = "skyblue", alpha = 0.5 )# Use of regex. regex1 <- esp_get_rivers(name = "Tajo|Segura") unique(regex1$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 )
Get boundaries of municipalities in Spain.
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" )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" )
year |
Year character string or number. Release year of the file. See
|
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
|
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
region |
Optional. A vector of region names, NUTS or ISO codes
(see |
munic |
Character string. A name or |
moveCAN |
A logical |
ext |
Character. Extension of the file (default |
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.
A sf object.
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.
Please check the download and usage provisions on
giscoR::gisco_attributions().
https://gisco-services.ec.europa.eu/distribution/v2/.
Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/statistical-units.
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()
# 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") )# 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") )
Get boundaries of municipalities in Spain.
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 )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 )
year |
Character string or number. Release year. It must use format
|
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
resolution |
Character string or number. Resolution of the geospatial data. One of:
|
region |
Optional. A vector of region names, NUTS or ISO codes
(see |
munic |
Character string. A name or |
moveCAN |
A logical |
rawcols |
Logical. If |
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.
A sf object.
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.
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.
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:
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.
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.
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()
# 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 = "" )# 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 = "" )
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.
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" )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" )
year |
Year character string or number. Release year of the file. See
|
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
resolution |
A character string or numeric value with the geospatial data resolution. One of:
|
spatialtype |
Character string. Type of geometry to be returned. Options available are:
|
region |
Optional. A vector of region names, NUTS or ISO codes
(see |
nuts_level |
A character string with the NUTS level. One of |
moveCAN |
A logical |
ext |
Character. Extension of the file (default |
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.
A sf object.
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.
Please check the download and usage provisions on
giscoR::gisco_attributions().
https://gisco-services.ec.europa.eu/distribution/v2/.
Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.
giscoR::gisco_get_nuts(), esp_dict_region_code().
NUTS boundary datasets:
esp_get_spain()
Datasets sourced from GISCO:
esp_get_ccaa(),
esp_get_munic(),
esp_get_prov(),
esp_get_spain()
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")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")
Get provinces of Spain at a specified scale.
esp_get_prov(prov = NULL, moveCAN = TRUE, ...)esp_get_prov(prov = NULL, moveCAN = TRUE, ...)
prov |
A vector of names, codes or both for provinces, or |
moveCAN |
A logical |
... |
Arguments passed on to
|
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.
A sf object.
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.
https://gisco-services.ec.europa.eu/distribution/v2/.
Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.
Datasets sourced from GISCO:
esp_get_ccaa(),
esp_get_munic(),
esp_get_nuts(),
esp_get_spain()
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()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()
Get provinces of Spain at a specified scale.
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 )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 )
prov |
A vector of names, codes or both for provinces, or |
year |
Character string or number. Release year. It must use format
|
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
resolution |
Character string or number. Resolution of the geospatial data. One of:
|
moveCAN |
A logical |
rawcols |
Logical. If |
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.
A sf object.
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.
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:
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.
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.
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()
library(ggplot2) esp_get_ccaa_siane() |> dplyr::glimpse() |> ggplot() + geom_sf()library(ggplot2) esp_get_ccaa_siane() |> dplyr::glimpse() |> ggplot() + geom_sf()
Loads a sf LINESTRING or POINT object representing the
nodes and railway lines of Spain.
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 )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 )
year |
Ignored. |
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
spatialtype |
|
A sf object.
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.
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:
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.
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.
Transport infrastructure datasets:
esp_get_roads()
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()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()
Object representing the main roads of Spain.
esp_get_roads( year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, moveCAN = TRUE )esp_get_roads( year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, moveCAN = TRUE )
year |
Ignored. |
epsg |
Character string or number. Projection of the map: 4-digit EPSG code. One of:
|
cache |
Logical. Whether to cache downloaded files. Defaults to |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
moveCAN |
A logical |
A sf object.
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.
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:
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.
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.
Transport infrastructure datasets:
esp_get_railway()
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")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 with the boundaries of the provinces or Autonomous Communities of Spain, as provided by the INE (Instituto Nacional de Estadística).
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 )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 )
prov, ccaa
|
Character. A vector of names, codes or both for provinces
and Autonomous Communities and Cities, or |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
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).
A sf object.
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.
INE: PC-Axis files.
Additional boundary datasets and representations:
esp_get_comarca(),
esp_get_gridmap
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)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)
Returns the boundaries of Spain as a single sf POLYGON at a
specified scale.
esp_get_spain(moveCAN = TRUE, ...)esp_get_spain(moveCAN = TRUE, ...)
moveCAN |
A logical |
... |
Arguments passed on to
|
Dataset derived from NUTS data provided by GISCO. Check esp_get_nuts() for
details.
A sf POLYGON object.
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.
https://gisco-services.ec.europa.eu/distribution/v2/.
Copyright: https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units.
NUTS boundary datasets:
esp_get_nuts()
Datasets sourced from GISCO:
esp_get_ccaa(),
esp_get_munic(),
esp_get_nuts(),
esp_get_prov()
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")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")
Returns the boundaries of Spain as a single sf POLYGON.
esp_get_spain_siane(moveCAN = TRUE, ...)esp_get_spain_siane(moveCAN = TRUE, ...)
moveCAN |
A logical |
... |
Arguments passed on to
|
A sf object.
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.
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:
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.
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.
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()
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")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 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.
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)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)
x |
|
type |
This argument can be one of:
|
zoom |
Character string or number. Only valid for WMTS providers, zoom
level to be downloaded. If |
zoommin |
Character string or number. Delta on default |
crop |
Logical. If |
res |
Character string or number. Only valid for WMS providers. Resolution (in pixels) of the final tile. |
bbox_expand |
Number. Expansion percentage of the bounding box of |
transparent |
Logical. Whether to use a transparent background, if supported. |
mask |
Logical. |
update_cache |
Logical. If |
cache_dir |
Character string. A path to a cache directory. See Caching. |
verbose |
A logical value. If |
options |
A named list containing additional options to pass to the query. |
Zoom levels are described on the OpenStreetMap wiki:
| zoom | area to represent |
| 0 | whole world |
| 3 | large country |
| 5 | state |
| 8 | county |
| 10 | metropolitan area |
| 11 | city |
| 13 | village or suburb |
| 16 | streets |
| 18 | some buildings, trees |
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)
A SpatRaster with 3 (RGB) or 4 (RGBA) layers, depending on
the provider. See terra::rast().
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.
https://dieghernan.github.io/leaflet-providersESP/, a plugin for leaflet, v1.3.3.
Static map tiles and imagery:
addProviderEspTiles(),
esp_make_provider()
## 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)## 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)
Helper function for esp_get_tiles() that helps to create a custom provider.
esp_make_provider(id, q, service, layers, ...)esp_make_provider(id, q, service, layers, ...)
id |
An identifier for the user. Used for identifying cached tiles. |
q |
The base URL of the service. |
service |
The type of tile service, either |
layers |
The name of the layer to retrieve. |
... |
Additional arguments to the query, such as |
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.
A named list with two elements id and q.
For a list of potential providers from Spain, check the IDEE Directory.
Static map tiles and imagery:
addProviderEspTiles(),
esp_get_tiles()
## 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)## 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)
sf object located in the Canary IslandsHelper 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.
esp_move_can(x, moveCAN = TRUE)esp_move_can(x, moveCAN = TRUE)
x |
An |
moveCAN |
A logical |
This helper function makes it easier to represent objects located in the Canary Islands that have been obtained from sources other than mapSpain.
A sf object of the same class and same CRS as x,
displaced accordingly.
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.
Helpers for Canary Islands insets and displacement:
esp_get_can_box()
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" )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" )
sf objectThis 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.
An sf object with MULTIPOLYGON geometries at 1:1 million
resolution in EPSG:4258 projection, containing
86 rows and 10 variables:
NUTS_IDNUTS identifier.
LEVL_CODENUTS level code (0, 1, 2, 3).
CNTR_CODEEurostat country code.
NAME_LATNNUTS name in Latin characters.
NUTS_NAMENUTS name in the local alphabet.
MOUNT_TYPEMountain type, see Details.
URBN_TYPEUrban type, see Details.
COAST_TYPECoastal type, see Details.
geoSame as NUTS_ID, provided for compatibility with
eurostat.
geometryGeometry field.
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.
NUTS_RG_01M_2024_4326.gpkg file.
Included package datasets:
esp_codelist,
esp_tiles_providers,
pobmun25
data("esp_nuts_2024") head(esp_nuts_2024)data("esp_nuts_2024") head(esp_nuts_2024)
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.
esp_set_cache_dir( cache_dir = NULL, overwrite = FALSE, install = FALSE, verbose = TRUE ) esp_detect_cache_dir()esp_set_cache_dir( cache_dir = NULL, overwrite = FALSE, install = FALSE, verbose = TRUE ) esp_detect_cache_dir()
cache_dir |
A path to a cache directory. When |
overwrite |
Logical. If |
install |
Logical. If |
verbose |
A logical value. If |
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").
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.
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.
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 base::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.
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.
Cache management utilities:
esp_clear_cache()
# 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()# 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()
Download zipped data from SIANE to the cache_dir
and extract the relevant files.
esp_siane_bulk_download( cache_dir = NULL, update_cache = FALSE, verbose = FALSE )esp_siane_bulk_download( cache_dir = NULL, update_cache = FALSE, verbose = FALSE )
cache_dir |
Character string. A path to a cache directory. See Caching. |
update_cache |
Logical. If |
verbose |
A logical value. If |
An invisible character vector with the full paths of the extracted files. See Examples.
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.
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:
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.
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.
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()
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)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)
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.
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().
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"
https://dieghernan.github.io/leaflet-providersESP/, a plugin for leaflet, v1.3.3.
Included package datasets:
esp_codelist,
esp_nuts_2024,
pobmun25
data("esp_tiles_providers") # Get a single provider. single <- esp_tiles_providers[["IGNBase.Todo"]] single$static single$leafletdata("esp_tiles_providers") # Get a single provider. single <- esp_tiles_providers[["IGNBase.Todo"]] single$static single$leaflet
Population of Spain by municipality (2025)
A tibble object with 8,132 rows containing population data by municipality in Spain for 2025.
INE code of the province.
Name of the province.
INE code of the municipality.
Name of the municipality.
Total population (2025).
Male population (2025).
Female population (2025).
INE, Instituto Nacional de Estadística. https://www.ine.es/dyngs/INEbase/categoria.htm?c=Estadistica_P&cid=1254734710990.
Included package datasets:
esp_codelist,
esp_nuts_2024,
esp_tiles_providers
data("pobmun25")data("pobmun25")