Title: | Administrative Boundaries of Spain |
---|---|
Description: | Administrative Boundaries of Spain at several levels (Autonomous Communities, Provinces, Municipalities) based on the 'GISCO' 'Eurostat' database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles. |
Authors: | Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>, rOpenSpain) |
Maintainer: | Diego Hernangómez <[email protected]> |
License: | GPL-3 |
Version: | 0.9.2 |
Built: | 2024-09-30 13:38:17 UTC |
Source: | https://github.com/rOpenSpain/mapSpain |
Include tiles of public Spanish organisms to a leaflet::leaflet()
map.
addProviderEspTiles( map, provider, layerId = NULL, group = NULL, options = providerEspTileOptions() ) providerEspTileOptions(...)
addProviderEspTiles( map, provider, layerId = NULL, group = NULL, options = providerEspTileOptions() ) providerEspTileOptions(...)
map |
the map to add the tile layer to |
provider |
Name of the provider, see esp_tiles_providers for values available. |
layerId |
the layer id to assign |
group |
the name of the group the newly created layers should belong to
(for |
options |
tile options |
... |
Arguments passed on to |
providerEspTileOptions()
is a wrapper of leaflet::providerTileOptions()
.
A modified leaflet::leaflet()
map
object.
https://dieghernan.github.io/leaflet-providersESP/ leaflet plugin, v1.3.3.
leaflet::leaflet()
, leaflet::addTiles()
leaflet::providerTileOptions()
, leaflet::tileOptions()
Other imagery utilities:
esp_getTiles()
,
esp_make_provider()
,
esp_tiles_providers
library(leaflet) leafmap <- leaflet(width = "100%", height = "60vh") %>% setView(lat = 40.4166, lng = -3.7038400, zoom = 10) %>% addTiles(group = "Default (OSM)") %>% addProviderEspTiles( provider = "IDErioja.Claro", group = "IDErioja Claro" ) %>% addProviderEspTiles( provider = "RedTransporte.Carreteras", group = "Carreteras" ) %>% addLayersControl( baseGroups = c("IDErioja Claro", "Default (OSM)"), overlayGroups = "Carreteras", options = layersControlOptions(collapsed = FALSE) ) leafmap
library(leaflet) leafmap <- leaflet(width = "100%", height = "60vh") %>% setView(lat = 40.4166, lng = -3.7038400, zoom = 10) %>% addTiles(group = "Default (OSM)") %>% addProviderEspTiles( provider = "IDErioja.Claro", group = "IDErioja Claro" ) %>% addProviderEspTiles( provider = "RedTransporte.Carreteras", group = "Carreteras" ) %>% addLayersControl( baseGroups = c("IDErioja Claro", "Default (OSM)"), overlayGroups = "Carreteras", options = layersControlOptions(collapsed = FALSE) ) leafmap
Check if R has access to resources at https://github.com/rOpenSpain/mapSpain/tree/sianedata.
esp_check_access()
esp_check_access()
a logical.
Other helper:
esp_move_can()
esp_check_access()
esp_check_access()
Use this function with caution. This function would clear your cached data and configuration, specifically:
Deletes the mapSpain config directory
(rappdirs::user_config_dir("mapSpain", "R")
).
Deletes the cache_dir
directory.
Deletes the values on stored on Sys.getenv("MAPSPAIN_CACHE_DIR")
and
options(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 |
Logical, displays information. Useful for debugging,
default is |
This is an overkill function that is intended to reset your status as it you would never have installed and/or used mapSpain.
Invisible. This function is called for its side effects.
Other cache utilities:
esp_detect_cache_dir()
,
esp_set_cache_dir()
# Don't run this! It would modify your current state ## Not run: esp_clear_cache(verbose = TRUE) ## End(Not run) Sys.getenv("MAPSPAIN_CACHE_DIR")
# Don't run this! It would modify your current state ## Not run: esp_clear_cache(verbose = TRUE) ## End(Not run) Sys.getenv("MAPSPAIN_CACHE_DIR")
A data.frame
object used internally for translating codes and names of the
different subdivisions of Spain. The data.frame
provides the hierarchy of
the subdivisions including NUTS1 level, autonomous communities (equivalent
to NUTS2), provinces and NUTS3 level. See Note.
A data.frame
with 59 rows
codes and columns:
NUTS 1 code
NUTS 1 name
NUTS 1 alternative name
NUTS1 1 short (common) name (Spanish)
INE code of the autonomous community
ISO2 code of the autonomous community
NUTS 2 Code
INE name of the autonomous community
ISO2 name of the autonomous community (Spanish)
ISO2 name of the autonomous community (Catalan)
ISO2 name of the autonomous community (Galician)
ISO2 name of the autonomous community (Basque)
NUTS 2 name
CLDR name of the autonomous community (English)
CLDR name of the autonomous community (Spanish)
CLDR name of the autonomous community (Catalan)
CLDR name of the autonomous community (Galician)
CLDR name of the autonomous community (Basque)
Short (common) name of the autonomous community (English)
Short (common) name of the autonomous community (Spanish)
Short (common) name of the autonomous community (Catalan)
Short (common) name of the autonomous community (Galician)
Short (common) name of the autonomous community (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 NUTS2 matches the first subdivision level of Spain (CCAA - Autonomous Communities), it should be noted that NUTS3 does not match the second subdivision level of Spain (Provinces). NUTS3 provides a dedicated code for major islands whereas the provinces doesn't.
Ceuta and Melilla has an specific status (Autonomous Cities) but are considered as autonomous communities with a single province (as Madrid, Asturias or Murcia) on this database.
INE: Instituto Nacional de Estadistica: https://www.ine.es/
Eurostat (NUTS): https://ec.europa.eu/eurostat/web/nuts/overview
CLDR: https://unicode-org.github.io/cldr-staging/charts/38/index.html
Other datasets:
esp_munic.sf
,
esp_nuts.sf
,
esp_tiles_providers
,
pobmun19
Other political:
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
Other dictionary:
esp_dict_region_code()
data("esp_codelist")
data("esp_codelist")
Helper function to detect the current cache folder. See
esp_set_cache_dir()
.
esp_detect_cache_dir(x = NULL)
esp_detect_cache_dir(x = NULL)
x |
Ignored. |
A character with the path to your cache_dir
.
Other cache utilities:
esp_clear_cache()
,
esp_set_cache_dir()
esp_detect_cache_dir()
esp_detect_cache_dir()
Converts long subdivision names into different coding schemes and languages.
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 |
Vector which contains the subdivision names to be converted. |
origin , destination
|
One of |
lang |
Language of translation. Available languages are:
|
all |
Logical. Should the function return all names or not?
On |
If no match is found for any value, the function displays a warning and
returns NA
for those values.
Note that mixing names of different administrative levels (e.g. "Catalonia"
and "Barcelona") may return empty values, depending on the destination
values.
esp_dict_region_code()
returns a vector of characters.
esp_dict_translate()
returns a character
vector or a named list
with
each of the possible names of each sourcevar
on the required language
lang
.
Other dictionary:
esp_codelist
Other dictionary:
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 another 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") ## Not run: # Warning esp_dict_region_code(valsmix, destination = "codauto") esp_dict_region_code(valsmix, destination = "iso2") ## End(Not run) 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 another 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") ## Not run: # Warning esp_dict_region_code(valsmix, destination = "codauto") esp_dict_region_code(valsmix, destination = "iso2") ## End(Not run) 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)
sf
lines and polygons for insetting the Canary IslandsWhen plotting Spain, it is usual to represent the Canary Islands as an inset
(see moveCAN
on esp_get_nuts()
). These functions provides complementary
lines and polygons to be used when the Canary Islands are displayed
as an inset.
esp_get_can_box()
is used to draw lines around the displaced Canary
Islands.
esp_get_can_provinces()
is used to draw a separator line between the two
provinces of the Canary Islands.
See also esp_move_can()
to displace stand-alone objects on the Canary
Islands.
esp_get_can_box(style = "right", moveCAN = TRUE, epsg = "4258") esp_get_can_provinces(moveCAN = TRUE, epsg = "4258")
esp_get_can_box(style = "right", moveCAN = TRUE, epsg = "4258") esp_get_can_provinces(moveCAN = TRUE, epsg = "4258")
style |
Style of line around Canary Islands. Four options available:
|
moveCAN |
A logical |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
A sf
POLYGON
or LINESTRING
depending of style
parameter.
esp_get_can_provinces
returns a LINESTRING
object.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
esp_get_can_provinces
extracted from CartoBase ANE,
se89_mult_admin_provcan_l.shp
file.
Other political:
esp_codelist
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
Other Canary Islands:
esp_move_can()
Provs <- esp_get_prov() Box <- esp_get_can_box() Line <- esp_get_can_provinces() # Plot library(ggplot2) ggplot(Provs) + geom_sf() + geom_sf(data = Box) + geom_sf(data = Line) + theme_linedraw() # Displacing Canary # By same factor displace <- c(15, 0) Provs_D <- esp_get_prov(moveCAN = displace) Box_D <- esp_get_can_box(style = "left", moveCAN = displace) Line_D <- esp_get_can_provinces(moveCAN = displace) ggplot(Provs_D) + geom_sf() + geom_sf(data = Box_D) + geom_sf(data = Line_D) + theme_linedraw() # Example with poly option # Get countries with giscoR library(giscoR) # Low resolution map res <- "20" Countries <- gisco_get_countries( res = res, epsg = "4326", country = c("France", "Portugal", "Andorra", "Morocco", "Argelia") ) CANbox <- 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) # Same displacement factor) ) # Plot ggplot(Countries) + geom_sf(fill = "#DFDFDF") + geom_sf(data = CANbox, 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() # Plot library(ggplot2) ggplot(Provs) + geom_sf() + geom_sf(data = Box) + geom_sf(data = Line) + theme_linedraw() # Displacing Canary # By same factor displace <- c(15, 0) Provs_D <- esp_get_prov(moveCAN = displace) Box_D <- esp_get_can_box(style = "left", moveCAN = displace) Line_D <- esp_get_can_provinces(moveCAN = displace) ggplot(Provs_D) + geom_sf() + geom_sf(data = Box_D) + geom_sf(data = Line_D) + theme_linedraw() # Example with poly option # Get countries with giscoR library(giscoR) # Low resolution map res <- "20" Countries <- gisco_get_countries( res = res, epsg = "4326", country = c("France", "Portugal", "Andorra", "Morocco", "Argelia") ) CANbox <- 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) # Same displacement factor) ) # Plot ggplot(Countries) + geom_sf(fill = "#DFDFDF") + geom_sf(data = CANbox, 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() )
sf
POINT
of the municipalities of SpainGet a sf
POINT
with the location of the political powers for
each municipality (possibly the center of the municipality).
Note that this differs of the centroid of the boundaries of the
municipality, returned by esp_get_munic()
.
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 |
Release year. See Details for years available. |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
region |
A vector of names and/or codes for provinces
or |
munic |
A name or |
moveCAN |
A logical |
rawcols |
Logical. Setting this to |
year
could be passed as a single year (YYYY
format, as end of year) or
as a specific date (YYYY-MM-DD
format). Historical information starts as
of 2005.
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, CCAA or NUTS1), all the municipalities of that level would be added.
A sf
POINT
object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
Other municipalities:
esp_get_munic()
,
esp_munic.sf
## Not run: # This code compares centroids of municipalities against esp_get_capimun # It also download tiles, make sure you are online library(sf) # Get shape 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 centroid centroid <- sf::st_centroid(area) centroid$type <- "Centroid" # Compare with capimun capimun <- esp_get_capimun(munic = "Valladolid", epsg = 3857) capimun$type <- "Capimun" # Get a tile to check tile <- esp_getTiles(area, "IGNBase.Todo", zoommin = 2) # Join both point geometries points <- rbind( centroid[, "type"], capimun[, "type"] ) # Check on plot library(ggplot2) library(tidyterra) ggplot(points) + geom_spatraster_rgb(data = tile, maxcell = Inf) + 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")) + theme_void() + labs(title = "Centroid vs. capimun") ## End(Not run)
## Not run: # This code compares centroids of municipalities against esp_get_capimun # It also download tiles, make sure you are online library(sf) # Get shape 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 centroid centroid <- sf::st_centroid(area) centroid$type <- "Centroid" # Compare with capimun capimun <- esp_get_capimun(munic = "Valladolid", epsg = 3857) capimun$type <- "Capimun" # Get a tile to check tile <- esp_getTiles(area, "IGNBase.Todo", zoommin = 2) # Join both point geometries points <- rbind( centroid[, "type"], capimun[, "type"] ) # Check on plot library(ggplot2) library(tidyterra) ggplot(points) + geom_spatraster_rgb(data = tile, maxcell = Inf) + 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")) + theme_void() + labs(title = "Centroid vs. capimun") ## End(Not run)
sf
POLYGON
or POINT
Returns
Autonomous Communities of Spain as
sf
POLYGON
or POINT
at a specified scale.
esp_get_ccaa()
uses GISCO (Eurostat) as source. Please use
giscoR::gisco_attributions()
esp_get_ccaa_siane()
uses CartoBase ANE as source, provided by
Instituto Geografico Nacional (IGN), http://www.ign.es/web/ign/portal.
Years available are 2005 up to today.
esp_get_ccaa(ccaa = NULL, moveCAN = TRUE, ...) esp_get_ccaa_siane( ccaa = NULL, year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", moveCAN = TRUE, rawcols = FALSE )
esp_get_ccaa(ccaa = NULL, moveCAN = TRUE, ...) esp_get_ccaa_siane( ccaa = NULL, year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", moveCAN = TRUE, rawcols = FALSE )
ccaa |
A vector of names and/or codes for autonomous communities
or |
moveCAN |
A logical |
... |
Arguments passed on to
|
year |
Release year. See |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
resolution |
Resolution of the |
rawcols |
Logical. Setting this 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 considered as Autonomous Communities on this function.
When calling a NUTS1 level, all the Autonomous Communities of that level would be added.
On esp_get_ccaa_siane()
, year
could be passed as a single year (YYYY
format, as end of year) or as a specific date (YYYY-MM-DD
format).
Historical information starts as of 2005.
A sf
object specified by spatialtype
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
ccaa <- esp_get_ccaa() library(ggplot2) ggplot(ccaa) + geom_sf() # Random CCAA Random <- esp_get_ccaa(ccaa = c( "Euskadi", "Catalunya", "ES-EX", "Canarias", "ES52", "01" )) ggplot(Random) + geom_sf(aes(fill = codauto), show.legend = FALSE) + geom_sf_label(aes(label = codauto), alpha = 0.3) # All CCAA of a Zone plus an addition Mix <- esp_get_ccaa(ccaa = c("La Rioja", "Noroeste")) ggplot(Mix) + geom_sf() # Combine with giscoR to get countries library(giscoR) library(sf) res <- 20 # Set same resoluion europe <- gisco_get_countries(resolution = res) ccaa <- esp_get_ccaa(moveCAN = FALSE, resolution = res) # Transform to same CRS europe <- st_transform(europe, 3035) ccaa <- st_transform(ccaa, 3035) ggplot(europe) + geom_sf(fill = "#DFDFDF", color = "#656565") + geom_sf(data = ccaa, fill = "#FDFBEA", color = "#656565") + coord_sf( xlim = c(23, 74) * 10e4, ylim = c(14, 55) * 10e4 ) + theme(panel.background = element_rect(fill = "#C7E7FB"))
ccaa <- esp_get_ccaa() library(ggplot2) ggplot(ccaa) + geom_sf() # Random CCAA Random <- esp_get_ccaa(ccaa = c( "Euskadi", "Catalunya", "ES-EX", "Canarias", "ES52", "01" )) ggplot(Random) + geom_sf(aes(fill = codauto), show.legend = FALSE) + geom_sf_label(aes(label = codauto), alpha = 0.3) # All CCAA of a Zone plus an addition Mix <- esp_get_ccaa(ccaa = c("La Rioja", "Noroeste")) ggplot(Mix) + geom_sf() # Combine with giscoR to get countries library(giscoR) library(sf) res <- 20 # Set same resoluion europe <- gisco_get_countries(resolution = res) ccaa <- esp_get_ccaa(moveCAN = FALSE, resolution = res) # Transform to same CRS europe <- st_transform(europe, 3035) ccaa <- st_transform(ccaa, 3035) ggplot(europe) + geom_sf(fill = "#DFDFDF", color = "#656565") + geom_sf(data = ccaa, fill = "#FDFBEA", color = "#656565") + coord_sf( xlim = c(23, 74) * 10e4, ylim = c(14, 55) * 10e4 ) + theme(panel.background = element_rect(fill = "#C7E7FB"))
sf
POLYGON
Returns 'comarcas' of Spain as sf
POLYGON
objects, as provided by the
INE (Instituto Nacional de Estadistica).
esp_get_comarca( region = NULL, comarca = NULL, moveCAN = TRUE, epsg = "4258", update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
esp_get_comarca( region = NULL, comarca = NULL, moveCAN = TRUE, epsg = "4258", update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
region |
A vector of names and/or codes for provinces or |
comarca |
A name or |
moveCAN |
A logical |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
'Comarcas' (English equivalent: district, county, area or zone) does not always have a formal legal status. They correspond mainly to natural areas (valleys, river basins etc.) or even to historical regions or ancient kingdoms.
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 NUTS1), all the comarcas of that level would be added.
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.
A sf
polygon object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
INE: PC_Axis files.
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
comarcas <- esp_get_comarca(moveCAN = FALSE) library(ggplot2) ggplot(comarcas) + geom_sf() # Comarcas of Castille and Leon comarcas_cyl <- esp_get_comarca("Castilla y Leon") ggplot(comarcas_cyl) + geom_sf(aes(fill = ine.prov.name)) + labs(fill = "Province") # Comarcas with Mountains or Alt(o,a) in the name comarcas_alto <- esp_get_comarca( comarca = "Montaña|Monte|Sierra|Alt", epsg = 3857 ) ggplot(comarcas_alto) + geom_sf(aes(fill = ine.ccaa.name)) + geom_sf_text(aes(label = name), check_overlap = TRUE) + labs(fill = "CCAA")
comarcas <- esp_get_comarca(moveCAN = FALSE) library(ggplot2) ggplot(comarcas) + geom_sf() # Comarcas of Castille and Leon comarcas_cyl <- esp_get_comarca("Castilla y Leon") ggplot(comarcas_cyl) + geom_sf(aes(fill = ine.prov.name)) + labs(fill = "Province") # Comarcas with Mountains or Alt(o,a) in the name comarcas_alto <- esp_get_comarca( comarca = "Montaña|Monte|Sierra|Alt", epsg = 3857 ) ggplot(comarcas_alto) + geom_sf(aes(fill = ine.ccaa.name)) + geom_sf_text(aes(label = name), check_overlap = TRUE) + labs(fill = "CCAA")
sf
POLYGON
representing SpainReturns the boundaries of Spain as a single sf
POLYGON
at a
specified scale.
esp_get_country(moveCAN = TRUE, ...)
esp_get_country(moveCAN = TRUE, ...)
moveCAN |
A logical |
... |
Arguments passed on to
|
A sf
POLYGON
object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
OriginalCan <- esp_get_country(moveCAN = FALSE) # One row only nrow(OriginalCan) library(ggplot2) ggplot(OriginalCan) + geom_sf(fill = "grey70") # Less resolution MovedCan <- esp_get_country(moveCAN = TRUE, resolution = "20") library(ggplot2) ggplot(MovedCan) + geom_sf(fill = "grey70")
OriginalCan <- esp_get_country(moveCAN = FALSE) # One row only nrow(OriginalCan) library(ggplot2) ggplot(OriginalCan) + geom_sf(fill = "grey70") # Less resolution MovedCan <- esp_get_country(moveCAN = TRUE, resolution = "20") library(ggplot2) ggplot(MovedCan) + geom_sf(fill = "grey70")
sf
POLYGON
with the national geographic grids from BDNLoads a sf
POLYGON
with the geographic grids of Spain as
provided on the Banco de Datos de la Naturaleza (Nature Data Bank), by the
Ministry of Environment (MITECO):
esp_get_grid_BDN()
extracts country-wide grids with resolutions
5x5 or 10x10 kms.
esp_get_grid_BDN_ccaa()
extracts grids by Autonomous Community with
resolution 1x1 km.
esp_get_grid_BDN( resolution = 10, type = "main", 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 = 10, type = "main", update_cache = FALSE, cache_dir = NULL, verbose = FALSE ) esp_get_grid_BDN_ccaa( ccaa, update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
resolution |
Resolution of the grid in kms. Could be |
type |
The scope of the grid. It could be mainland Spain ( |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
ccaa |
A vector of names and/or codes for autonomous communities.
See Details on |
A sf
POLYGON
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
BDN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata/MTN).
See original metadata and source on https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-disponible/bdn-cart-aux-descargas-ccaa.html
Other grids:
esp_get_grid_EEA()
,
esp_get_grid_ESDAC()
,
esp_get_grid_MTN()
grid <- esp_get_grid_BDN(resolution = "10", type = "main") library(ggplot2) ggplot(grid) + geom_sf() + theme_light() + labs(title = "BDN Grid for Spain")
grid <- esp_get_grid_BDN(resolution = "10", type = "main") library(ggplot2) ggplot(grid) + geom_sf() + theme_light() + labs(title = "BDN Grid for Spain")
sf
POLYGON
of the national geographic grids from EEALoads a sf
POLYGON
with the geographic grids of Spain as
provided by the European Environment Agency (EEA).
esp_get_grid_EEA( resolution = 100, type = "main", update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
esp_get_grid_EEA( resolution = 100, type = "main", update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
resolution |
Resolution of the grid in kms. Could be |
type |
The scope of the grid. It could be mainland Spain ( |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
A sf
POLYGON
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
Other grids:
esp_get_grid_BDN()
,
esp_get_grid_ESDAC()
,
esp_get_grid_MTN()
## Not run: grid <- esp_get_grid_EEA(type = "main", resolution = 100) grid_can <- esp_get_grid_EEA(type = "canary", resolution = 100) esp <- esp_get_country(moveCAN = FALSE) library(ggplot2) ggplot(grid) + geom_sf() + geom_sf(data = grid_can) + geom_sf(data = esp, fill = NA) + theme_light() + labs(title = "EEA Grid for Spain") ## End(Not run)
## Not run: grid <- esp_get_grid_EEA(type = "main", resolution = 100) grid_can <- esp_get_grid_EEA(type = "canary", resolution = 100) esp <- esp_get_country(moveCAN = FALSE) library(ggplot2) ggplot(grid) + geom_sf() + geom_sf(data = grid_can) + geom_sf(data = esp, fill = NA) + theme_light() + labs(title = "EEA Grid for Spain") ## End(Not run)
sf
POLYGON
of the national geographic grids from ESDACLoads a sf
POLYGON
with the geographic grids of Spain as
provided by the European Soil Data Centre (ESDAC).
esp_get_grid_ESDAC( resolution = 10, update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
esp_get_grid_ESDAC( resolution = 10, update_cache = FALSE, cache_dir = NULL, verbose = FALSE )
resolution |
Resolution of the grid in kms. Could be |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
A sf
POLYGON
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
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.
Other grids:
esp_get_grid_BDN()
,
esp_get_grid_EEA()
,
esp_get_grid_MTN()
## Not run: grid <- esp_get_grid_ESDAC() esp <- esp_get_country(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_country(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)
sf
POLYGON
of the national geographic grids from IGNLoads 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 |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
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
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata/MTN).
Other grids:
esp_get_grid_BDN()
,
esp_get_grid_EEA()
,
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 the
boundaries of the provinces or autonomous communities 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 |
A vector of names and/or codes for provinces or |
ccaa |
A vector of names and/or codes for autonomous communities
or |
Hexbin or grid map has an advantage over usual choropleth maps. In choropleths, a large polygon data looks more emphasized just because of its size, what introduces a bias. Here with hexbin, each region is represented equally dismissing the bias.
You can use and mix names, ISO codes, "codauto"/ "cpro"
codes (see
esp_codelist) and NUTS codes of different levels.
When using a code corresponding of a higher level (e.g.
esp_get_prov("Andalucia")
) all the corresponding units of that level are
provided (in this case , all the provinces of Andalusia).
Results are provided in EPSG:4258, use sf::st_transform()
to change the projection.
A sf
POLYGON
object.
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
esp <- esp_get_country() 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: CCAA") 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: CCAA") 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_country() 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: CCAA") 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: CCAA") 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")
sf
POLYGON
of the drainage basin demarcations of SpainLoads a sf
POLYGON
object containing areas with the required
hydrographic elements of Spain.
esp_get_hydrobasin( epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", domain = "land" )
esp_get_hydrobasin( epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", domain = "land" )
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
resolution |
Resolution of the |
domain |
Possible values are |
Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.
A sf
POLYGON
object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other natural:
esp_get_hypsobath()
,
esp_get_rivers()
hydroland <- esp_get_hydrobasin(domain = "land") hydrolandsea <- esp_get_hydrobasin(domain = "landsea") library(ggplot2) ggplot(hydroland) + geom_sf(data = hydrolandsea, fill = "skyblue4", alpha = .4) + geom_sf(fill = "skyblue", alpha = .5) + geom_sf_text(aes(label = rotulo), size = 3, check_overlap = TRUE, fontface = "bold", family = "serif" ) + coord_sf( 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 = .4) + geom_sf(fill = "skyblue", alpha = .5) + geom_sf_text(aes(label = rotulo), size = 3, check_overlap = TRUE, fontface = "bold", family = "serif" ) + coord_sf( xlim = c(-9.5, 4.5), ylim = c(35, 44) ) + theme_void()
sf
POLYGON
or LINESTRING
with hypsometry and
bathymetry of SpainLoads a sf
POLYGON
or LINESTRING
object representing the
hypsometry and bathymetry of Spain.
Hypsometry represents the 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 = "3", spatialtype = "area" )
esp_get_hypsobath( epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", spatialtype = "area" )
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
resolution |
Resolution of the shape. Values available
are |
spatialtype |
Spatial type of the output. Use |
Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.
A sf
POLYGON
or LINESTRING
object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other natural:
esp_get_hydrobasin()
,
esp_get_rivers()
# This code would produce a nice plot - It will take a few seconds to run library(ggplot2) hypsobath <- esp_get_hypsobath() # Error on the data provided - There is an empty shape # Remove: hypsobath <- hypsobath[!sf::st_is_empty(hypsobath), ] # Tints from Wikipedia # https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Maps/Conventions/ # Topographic_maps bath_tints <- colorRampPalette( rev( c( "#D8F2FE", "#C6ECFF", "#B9E3FF", "#ACDBFB", "#A1D2F7", "#96C9F0", "#8DC1EA", "#84B9E3", "#79B2DE", "#71ABD8" ) ) ) hyps_tints <- colorRampPalette( rev( c( "#F5F4F2", "#E0DED8", "#CAC3B8", "#BAAE9A", "#AC9A7C", "#AA8753", "#B9985A", "#C3A76B", "#CAB982", "#D3CA9D", "#DED6A3", "#E8E1B6", "#EFEBC0", "#E1E4B5", "#D1D7AB", "#BDCC96", "#A8C68F", "#94BF8B", "#ACD0A5" ) ) ) levels <- sort(unique(hypsobath$val_inf)) # Create palette br_bath <- length(levels[levels < 0]) br_terrain <- length(levels) - br_bath pal <- c(bath_tints((br_bath)), hyps_tints((br_terrain))) # Plot Canary Islands ggplot(hypsobath) + geom_sf(aes(fill = as.factor(val_inf)), color = NA ) + coord_sf( xlim = c(-18.6, -13), ylim = c(27, 29.5) ) + scale_fill_manual(values = pal) + guides(fill = guide_legend( title = "Elevation", direction = "horizontal", label.position = "bottom", title.position = "top", nrow = 1 )) + theme(legend.position = "bottom") # Plot Mainland ggplot(hypsobath) + geom_sf(aes(fill = as.factor(val_inf)), color = NA ) + coord_sf( xlim = c(-9.5, 4.4), ylim = c(35.8, 44) ) + scale_fill_manual(values = pal) + guides(fill = guide_legend( title = "Elevation", reverse = TRUE, keyheight = .8 ))
# This code would produce a nice plot - It will take a few seconds to run library(ggplot2) hypsobath <- esp_get_hypsobath() # Error on the data provided - There is an empty shape # Remove: hypsobath <- hypsobath[!sf::st_is_empty(hypsobath), ] # Tints from Wikipedia # https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Maps/Conventions/ # Topographic_maps bath_tints <- colorRampPalette( rev( c( "#D8F2FE", "#C6ECFF", "#B9E3FF", "#ACDBFB", "#A1D2F7", "#96C9F0", "#8DC1EA", "#84B9E3", "#79B2DE", "#71ABD8" ) ) ) hyps_tints <- colorRampPalette( rev( c( "#F5F4F2", "#E0DED8", "#CAC3B8", "#BAAE9A", "#AC9A7C", "#AA8753", "#B9985A", "#C3A76B", "#CAB982", "#D3CA9D", "#DED6A3", "#E8E1B6", "#EFEBC0", "#E1E4B5", "#D1D7AB", "#BDCC96", "#A8C68F", "#94BF8B", "#ACD0A5" ) ) ) levels <- sort(unique(hypsobath$val_inf)) # Create palette br_bath <- length(levels[levels < 0]) br_terrain <- length(levels) - br_bath pal <- c(bath_tints((br_bath)), hyps_tints((br_terrain))) # Plot 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 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 = .8 ))
sf
POLYGON
Returns municipalities of Spain sf
POLYGON' at a specified scale.
esp_get_munic()
uses GISCO (Eurostat) as source. Please use
giscoR::gisco_attributions()
.
esp_get_munic_siane()
uses CartoBase ANE as source, provided by
Instituto Geografico Nacional (IGN), http://www.ign.es/web/ign/portal.
Years available are 2005 up to today.
esp_get_munic( year = "2019", epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, region = NULL, munic = NULL, moveCAN = TRUE ) esp_get_munic_siane( year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = 3, region = NULL, munic = NULL, moveCAN = TRUE, rawcols = FALSE )
esp_get_munic( year = "2019", epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, region = NULL, munic = NULL, moveCAN = TRUE ) esp_get_munic_siane( year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = 3, region = NULL, munic = NULL, moveCAN = TRUE, rawcols = FALSE )
year |
Release year. See Details for years available. |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
region |
A vector of names and/or codes for provinces
or |
munic |
A name or |
moveCAN |
A logical |
resolution |
Resolution of the polygon. Values available are
|
rawcols |
Logical. Setting this to |
The years available are:
esp_get_munic()
: year
could be one of "2001", "2004", "2006", "2008",
"2010", "2013" and any year between 2016 and 2019.
See giscoR::gisco_get_lau()
, giscoR::gisco_get_communes()
.
esp_get_munic_siane()
: year
could be passed as a single year ("YYYY"
format, as end of year) or as a specific date ("YYYY-MM-DD" format).
Historical information starts as of 2005.
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 NUTS1), all the municipalities of that level would be added.
A sf
POLYGON
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
giscoR::gisco_get_lau()
, base::regex()
.
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_nuts()
,
esp_get_prov()
,
esp_get_simpl_prov()
Other municipalities:
esp_get_capimun()
,
esp_munic.sf
# Get munics Base <- esp_get_munic(year = "2019", region = "Castilla y Leon") # Provs for delimiting provs <- esp_get_prov(prov = "Castilla y Leon") # Load population data data("pobmun19") # Arrange and create breaks Base_pop <- merge(Base, pobmun19, by = c("cpro", "cmun"), all.x = TRUE ) br <- sort(c( 0, 50, 100, 200, 500, 1000, 5000, 50000, 100000, Inf )) Base_pop$cuts <- cut(Base_pop$pob19, br, dig.lab = 20) # Plot library(ggplot2) ggplot(Base_pop) + geom_sf(aes(fill = cuts), color = NA) + geom_sf(data = provs, fill = NA, color = "grey70") + scale_fill_manual(values = hcl.colors(length(br), "cividis")) + labs( title = "Population in Castilla y Leon", subtitle = "INE, 2019", fill = "Persons" ) + theme_void()
# Get munics Base <- esp_get_munic(year = "2019", region = "Castilla y Leon") # Provs for delimiting provs <- esp_get_prov(prov = "Castilla y Leon") # Load population data data("pobmun19") # Arrange and create breaks Base_pop <- merge(Base, pobmun19, by = c("cpro", "cmun"), all.x = TRUE ) br <- sort(c( 0, 50, 100, 200, 500, 1000, 5000, 50000, 100000, Inf )) Base_pop$cuts <- cut(Base_pop$pob19, br, dig.lab = 20) # Plot library(ggplot2) ggplot(Base_pop) + geom_sf(aes(fill = cuts), color = NA) + geom_sf(data = provs, fill = NA, color = "grey70") + scale_fill_manual(values = hcl.colors(length(br), "cividis")) + labs( title = "Population in Castilla y Leon", subtitle = "INE, 2019", fill = "Persons" ) + theme_void()
sf
POLYGON
or POINT
Returns NUTS regions of Spain
as POLYGON
or POINT
at a specified scale, as provided by
GISCO
(Geographic Information System of the Commission, depending of Eurostat).
NUTS are provided at three different levels:
"0": Country level.
"1": Groups of autonomous communities.
"2": Autonomous communities (CCAA).
"3": Roughly matches the provinces, but providing specific individual objects for each major island.
esp_get_nuts( year = "2016", epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "01", spatialtype = "RG", region = NULL, nuts_level = "all", moveCAN = TRUE )
esp_get_nuts( year = "2016", epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "01", spatialtype = "RG", region = NULL, nuts_level = "all", moveCAN = TRUE )
year |
Release year of the file. One of |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
resolution |
Resolution of the geospatial data. One of
|
spatialtype |
Type of geometry to be returned:
|
region |
Optional. A vector of region names, NUTS or ISO codes
(see |
nuts_level |
NUTS level. One of |
moveCAN |
A logical |
A sf
object specified by spatialtype
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
Please check the download and usage provisions on
giscoR::gisco_attributions()
giscoR::gisco_get_nuts()
, esp_dict_region_code()
.
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_prov()
,
esp_get_simpl_prov()
Other nuts:
esp_nuts.sf
NUTS1 <- esp_get_nuts(nuts_level = 1, moveCAN = TRUE) library(ggplot2) ggplot(NUTS1) + geom_sf() + labs( title = "NUTS1: 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 = "NUTS1: 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 = "NUTS1", subtitle = "Canary Islands on the true location", caption = giscoR::gisco_attributions() ) AndOriental <- esp_get_nuts(region = c( "Almeria", "Granada", "Jaen", "Malaga" )) ggplot(AndOriental) + geom_sf() RandomRegions <- esp_get_nuts(region = c("ES1", "ES300", "ES51")) ggplot(RandomRegions) + geom_sf() + labs(title = "Random Regions") MixingCodes <- esp_get_nuts(region = c("ES4", "ES-PV", "Valencia")) ggplot(MixingCodes) + geom_sf() + labs(title = "Mixing Codes")
NUTS1 <- esp_get_nuts(nuts_level = 1, moveCAN = TRUE) library(ggplot2) ggplot(NUTS1) + geom_sf() + labs( title = "NUTS1: 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 = "NUTS1: 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 = "NUTS1", subtitle = "Canary Islands on the true location", caption = giscoR::gisco_attributions() ) AndOriental <- esp_get_nuts(region = c( "Almeria", "Granada", "Jaen", "Malaga" )) ggplot(AndOriental) + geom_sf() RandomRegions <- esp_get_nuts(region = c("ES1", "ES300", "ES51")) ggplot(RandomRegions) + geom_sf() + labs(title = "Random Regions") MixingCodes <- esp_get_nuts(region = c("ES4", "ES-PV", "Valencia")) ggplot(MixingCodes) + geom_sf() + labs(title = "Mixing Codes")
sf
POLYGON
or POINT
Returns
provinces of Spain
as POLYGON
or POINT
at a specified scale.
esp_get_prov()
uses GISCO (Eurostat) as source. Please use
giscoR::gisco_attributions()
esp_get_prov_siane()
uses CartoBase ANE as source, provided by Instituto
Geografico Nacional (IGN), http://www.ign.es/web/ign/portal. Years
available are 2005 up to today.
esp_get_prov(prov = NULL, moveCAN = TRUE, ...) esp_get_prov_siane( prov = NULL, year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", moveCAN = TRUE, rawcols = FALSE )
esp_get_prov(prov = NULL, moveCAN = TRUE, ...) esp_get_prov_siane( prov = NULL, year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", moveCAN = TRUE, rawcols = FALSE )
prov |
A vector of names and/or codes for provinces or |
moveCAN |
A logical |
... |
Arguments passed on to
|
year |
Release year. See |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
resolution |
Resolution of the |
rawcols |
Logical. Setting this 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 as provinces on this dataset.
When calling a higher level (Autonomous Community or NUTS1), all the provinces of that level would be added.
On esp_get_prov_siane()
, year
could be passed as a single year ("YYYY"
format, as end of year) or as a specific date ("YYYY-MM-DD" format).
Historical information starts as of 2005.
A sf
object specified by spatialtype
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_simpl_prov()
prov <- esp_get_prov() library(ggplot2) ggplot(prov) + geom_sf() + theme_void() # 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 an 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() # ISO codes available allprovs <- esp_get_prov() ggplot(allprovs) + geom_sf(fill = NA) + geom_sf_text(aes(label = iso2.prov.code), check_overlap = TRUE, fontface = "bold" ) + theme_void()
prov <- esp_get_prov() library(ggplot2) ggplot(prov) + geom_sf() + theme_void() # 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 an 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() # ISO codes available allprovs <- esp_get_prov() ggplot(allprovs) + geom_sf(fill = NA) + geom_sf_text(aes(label = iso2.prov.code), check_overlap = TRUE, fontface = "bold" ) + theme_void()
sf
LINESTRING
or POINT
with the railways of SpainLoads 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 = "line" )
esp_get_railway( year = Sys.Date(), epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, spatialtype = "line" )
year |
Release year. |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
spatialtype |
Spatial type of the output. Use |
A sf
LINESTRING
or POINT
object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other infrastructure:
esp_get_roads()
provs <- esp_get_prov() ccaa <- esp_get_ccaa() # Railways rails <- esp_get_railway() # Stations stations <- esp_get_railway(spatialtype = "point") # Map library(ggplot2) ggplot(provs) + geom_sf(fill = "grey99", color = "grey50") + geom_sf(data = ccaa, fill = NA) + geom_sf( data = rails, aes(color = tipo), show.legend = FALSE, linewidth = 1.5 ) + geom_sf( data = stations, color = "red", alpha = 0.5 ) + coord_sf( xlim = c(-7.5, -2.5), ylim = c(38, 41) ) + scale_color_manual(values = hcl.colors( length(unique(rails$tipo)), "viridis" )) + theme_minimal()
provs <- esp_get_prov() ccaa <- esp_get_ccaa() # Railways rails <- esp_get_railway() # Stations stations <- esp_get_railway(spatialtype = "point") # Map library(ggplot2) ggplot(provs) + geom_sf(fill = "grey99", color = "grey50") + geom_sf(data = ccaa, fill = NA) + geom_sf( data = rails, aes(color = tipo), show.legend = FALSE, linewidth = 1.5 ) + geom_sf( data = stations, color = "red", alpha = 0.5 ) + coord_sf( xlim = c(-7.5, -2.5), ylim = c(38, 41) ) + scale_color_manual(values = hcl.colors( length(unique(rails$tipo)), "viridis" )) + theme_minimal()
sf
POLYGON
or LINESTRING
of rivers, channels and other
wetlands of SpainLoads a sf
POLYGON
or LINESTRING
object representing
rivers, channels, reservoirs and other wetlands of Spain.
esp_get_rivers( epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", spatialtype = "line", name = NULL )
esp_get_rivers( epsg = "4258", cache = TRUE, update_cache = FALSE, cache_dir = NULL, verbose = FALSE, resolution = "3", spatialtype = "line", name = NULL )
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
resolution |
Resolution of the |
spatialtype |
Spatial type of the output. Use |
name |
Optional. A character or |
Metadata available on https://github.com/rOpenSpain/mapSpain/tree/sianedata/.
A sf
POLYGON
or LINESTRING
object.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other natural:
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$rotulo) # See the diference # Rivers in Spain shapeEsp <- esp_get_country(moveCAN = FALSE) MainRivers <- esp_get_rivers(name = "Tajo$|Ebro$|Ebre$|Duero|Guadiana$|Guadalquivir") sf::st_bbox(MainRivers) library(ggplot2) ggplot(shapeEsp) + geom_sf() + geom_sf(data = MainRivers, color = "skyblue", linewidth = 2) + coord_sf( xlim = c(-7.5, 1), ylim = c(36.8, 43) ) + theme_void() # Wetlands in South-West Andalucia and <- esp_get_prov(c("Huelva", "Sevilla", "Cadiz")) Wetlands <- esp_get_rivers(spatialtype = "area") ggplot(and) + geom_sf() + geom_sf( data = Wetlands, fill = "skyblue", color = "skyblue", alpha = 0.5 ) + coord_sf( xlim = c(-7.5, -4.5), ylim = c(36, 38.5) ) + theme_void()
# Use of regex regex1 <- esp_get_rivers(name = "Tajo|Segura") unique(regex1$rotulo) regex2 <- esp_get_rivers(name = "Tajo$| Segura") unique(regex2$rotulo) # See the diference # Rivers in Spain shapeEsp <- esp_get_country(moveCAN = FALSE) MainRivers <- esp_get_rivers(name = "Tajo$|Ebro$|Ebre$|Duero|Guadiana$|Guadalquivir") sf::st_bbox(MainRivers) library(ggplot2) ggplot(shapeEsp) + geom_sf() + geom_sf(data = MainRivers, color = "skyblue", linewidth = 2) + coord_sf( xlim = c(-7.5, 1), ylim = c(36.8, 43) ) + theme_void() # Wetlands in South-West Andalucia and <- esp_get_prov(c("Huelva", "Sevilla", "Cadiz")) Wetlands <- esp_get_rivers(spatialtype = "area") ggplot(and) + geom_sf() + geom_sf( data = Wetlands, fill = "skyblue", color = "skyblue", alpha = 0.5 ) + coord_sf( xlim = c(-7.5, -4.5), ylim = c(36, 38.5) ) + theme_void()
sf
LINESTRING
of the roads of SpainLoads a sf
LINESTRING
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 |
Release year. See Details for years available. |
epsg |
projection of the map: 4-digit EPSG code. One of:
|
cache |
A logical whether to do caching. Default is |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
moveCAN |
A logical |
year
could be passed as a single year ("YYYY" format, as end of year) or
as a specific date ("YYYY-MM-DD" format).
A sf
LINESTRING
object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
While moveCAN
is useful for visualization, it would alter the actual
geographic position of the Canary Islands. When using the output for
spatial analysis or using tiles (e.g. with esp_getTiles()
or
addProviderEspTiles()
) this option should be set to FALSE
in order to
get the actual coordinates, instead of the modified ones. See also
esp_move_can()
for displacing stand-alone sf
objects.
IGN data via a custom CDN (see https://github.com/rOpenSpain/mapSpain/tree/sianedata).
Other infrastructure:
esp_get_railway()
country <- esp_get_country() Roads <- esp_get_roads() library(ggplot2) ggplot(country) + geom_sf(fill = "grey90") + geom_sf(data = Roads, aes(color = tipo), 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_country() Roads <- esp_get_roads() library(ggplot2) ggplot(country) + geom_sf(fill = "grey90") + geom_sf(data = Roads, aes(color = tipo), 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")
Loads a simplified map (sf
object) with the boundaries of the
provinces or autonomous communities of Spain, as provided by the INE
(Instituto Nacional de Estadistica).
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 |
A vector of names and/or codes for provinces or |
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
ccaa |
A vector of names and/or codes for autonomous communities
or |
Results are provided without CRS, as provided on source.
You can use and mix names, ISO codes, "codauto"/"cpro"
codes (see
esp_codelist) and NUTS codes of different levels.
When using a code corresponding of a higher level (e.g.
esp_get_simpl_prov("Andalucia")
) all the corresponding units of that level
are provided (in this case , all the provinces of Andalusia).
A sf
POLYGON
object.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
INE: PC_Axis files
esp_get_hex_prov()
, esp_get_hex_ccaa()
Other political:
esp_codelist
,
esp_get_can_box()
,
esp_get_capimun()
,
esp_get_ccaa()
,
esp_get_comarca()
,
esp_get_country()
,
esp_get_gridmap
,
esp_get_munic()
,
esp_get_nuts()
,
esp_get_prov()
prov_simp <- esp_get_simpl_prov() library(ggplot2) ggplot(prov_simp) + geom_sf(aes(fill = ine.ccaa.name)) + labs(fill = "CCAA") # Provs of Single CCAA and_simple <- esp_get_simpl_prov("Andalucia") ggplot(and_simple) + geom_sf() # CCAAs ccaa_simp <- esp_get_simpl_ccaa() ggplot(ccaa_simp) + geom_sf() + geom_sf_text(aes(label = ine.ccaa.name), check_overlap = TRUE)
prov_simp <- esp_get_simpl_prov() library(ggplot2) ggplot(prov_simp) + geom_sf(aes(fill = ine.ccaa.name)) + labs(fill = "CCAA") # Provs of Single CCAA and_simple <- esp_get_simpl_prov("Andalucia") ggplot(and_simple) + geom_sf() # CCAAs ccaa_simp <- esp_get_simpl_ccaa() ggplot(ccaa_simp) + geom_sf() + geom_sf_text(aes(label = ine.ccaa.name), check_overlap = TRUE)
Get static map tiles based on a spatial object. Maps can be fetched from various open map servers.
This function is a implementation of the javascript plugin leaflet-providersESP v1.3.3.
esp_getTiles( 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_getTiles( 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 )
x |
|
type |
This parameter could be either:
|
zoom |
Zoom level. If |
zoommin |
Delta on default |
crop |
|
res |
Resolution (in pixels) of the final tile. Only valid for WMS. |
bbox_expand |
A numeric value that indicates the expansion percentage
of the bounding box of |
transparent |
Logical. Provides transparent background, if supported.
Depends on the selected provider on |
mask |
|
update_cache |
A logical whether to update cache. Default is |
cache_dir |
A path to a cache directory. See About caching. |
verbose |
Logical, displays information. Useful for debugging,
default is |
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". In case that the tile
looks deformed, try projecting first x
:
x <- sf::st_transform(x, 3857)
A SpatRaster
is returned, with 3 (RGB) or 4 (RGBA) layers, depending on
the provider. See terra::rast()
.
.
You can set your cache_dir
with esp_set_cache_dir()
.
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE
.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir
. Use the option verbose = TRUE
for debugging the API query.
https://dieghernan.github.io/leaflet-providersESP/ leaflet plugin, v1.3.3.
Other imagery utilities:
addProviderEspTiles()
,
esp_make_provider()
,
esp_tiles_providers
## Not run: # This script downloads tiles to your local machine # Run only if you are online segovia <- esp_get_prov_siane("segovia", epsg = 3857) tile <- esp_getTiles(segovia, "IGNBase.Todo") library(ggplot2) library(tidyterra) ggplot(segovia) + geom_spatraster_rgb(data = tile, maxcell = Inf) + geom_sf(fill = NA) # Another provider tile2 <- esp_getTiles(segovia, type = "MDT") ggplot(segovia) + geom_spatraster_rgb(data = tile2, maxcell = Inf) + geom_sf(fill = NA) # A custom WMS provided custom_wms <- esp_make_provider( id = "an_id_for_caching", q = "https://idecyl.jcyl.es/geoserver/ge/wms?", service = "WMS", version = "1.3.0", format = "image/png", layers = "geolog_cyl_litologia" ) custom_wms_tile <- esp_getTiles(segovia, custom_wms) autoplot(custom_wms_tile, maxcell = Inf) + geom_sf(data = segovia, fill = NA, 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_getTiles(segovia, custom_wmts) autoplot(custom_wmts_tile, maxcell = Inf) + geom_sf(data = segovia, fill = NA, color = "white", linewidth = 2) # Example from https://leaflet-extras.github.io/leaflet-providers/preview/ cartodb_voyager <- list( id = "CartoDB_Voyager", q = "https://a.basemaps.cartocdn.com/rastertiles/voyager/{z}/{x}/{y}.png" ) cartodb <- esp_getTiles(segovia, cartodb_voyager, zoommin = 1) autoplot(cartodb, maxcell = Inf) + geom_sf(data = segovia, fill = NA, color = "black", linewidth = 1) ## End(Not run)
## Not run: # This script downloads tiles to your local machine # Run only if you are online segovia <- esp_get_prov_siane("segovia", epsg = 3857) tile <- esp_getTiles(segovia, "IGNBase.Todo") library(ggplot2) library(tidyterra) ggplot(segovia) + geom_spatraster_rgb(data = tile, maxcell = Inf) + geom_sf(fill = NA) # Another provider tile2 <- esp_getTiles(segovia, type = "MDT") ggplot(segovia) + geom_spatraster_rgb(data = tile2, maxcell = Inf) + geom_sf(fill = NA) # A custom WMS provided custom_wms <- esp_make_provider( id = "an_id_for_caching", q = "https://idecyl.jcyl.es/geoserver/ge/wms?", service = "WMS", version = "1.3.0", format = "image/png", layers = "geolog_cyl_litologia" ) custom_wms_tile <- esp_getTiles(segovia, custom_wms) autoplot(custom_wms_tile, maxcell = Inf) + geom_sf(data = segovia, fill = NA, 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_getTiles(segovia, custom_wmts) autoplot(custom_wmts_tile, maxcell = Inf) + geom_sf(data = segovia, fill = NA, color = "white", linewidth = 2) # Example from https://leaflet-extras.github.io/leaflet-providers/preview/ cartodb_voyager <- list( id = "CartoDB_Voyager", q = "https://a.basemaps.cartocdn.com/rastertiles/voyager/{z}/{x}/{y}.png" ) cartodb <- esp_getTiles(segovia, cartodb_voyager, zoommin = 1) autoplot(cartodb, maxcell = Inf) + geom_sf(data = segovia, fill = NA, color = "black", linewidth = 1) ## End(Not run)
Helper function for esp_getTiles()
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. Would be used also 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 parameters to the query, like |
This function is meant to work with services provided as of the OGC Standard.
Note that:
mapSpain would not provide advice on the parameter q
to be
provided.
Currently, on 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 IDEE Directory.
Other imagery utilities:
addProviderEspTiles()
,
esp_getTiles()
,
esp_tiles_providers
## Not run: # This script downloads tiles to your local machine # Run only if you are online custom_wms <- esp_make_provider( id = "an_id_for_caching", q = "https://idecyl.jcyl.es/geoserver/ge/wms?", service = "WMS", version = "1.3.0", layers = "geolog_cyl_litologia" ) x <- esp_get_ccaa("Castilla y León", epsg = 3857) mytile <- esp_getTiles(x, type = custom_wms) tidyterra::autoplot(mytile) + ggplot2::geom_sf(data = x, fill = NA) ## End(Not run)
## Not run: # This script downloads tiles to your local machine # Run only if you are online custom_wms <- esp_make_provider( id = "an_id_for_caching", q = "https://idecyl.jcyl.es/geoserver/ge/wms?", service = "WMS", version = "1.3.0", layers = "geolog_cyl_litologia" ) x <- esp_get_ccaa("Castilla y León", epsg = 3857) mytile <- esp_getTiles(x, type = custom_wms) 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 the objects
provided by sf
with the option moveCAN = TRUE
.
esp_move_can(x, moveCAN = TRUE)
esp_move_can(x, moveCAN = TRUE)
x |
An |
moveCAN |
A logical |
This is a helper function that intends to ease the representation of objects located in the Canary Islands that have been obtained from other sources rather than the package mapSpain.
A sf
object of the same class and same CRS than x
but displaced accordingly.
Other helper:
esp_check_access()
Other Canary Islands:
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) # If we use any mapSpain produced object with moveCAN = TRUE... esp <- esp_get_country(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" ) # But we can 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) # If we use any mapSpain produced object with moveCAN = TRUE... esp <- esp_get_country(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" ) # But we can 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
object with all the municipalities of Spain (2019)A sf
object including all municipalities of Spain as provided
by GISCO (2019 version).
A sf
object (resolution: 1:1 million, EPSG:4258) object with
8,131 rows and columns:
INE code of the autonomous community.
INE name of the autonomous community.
INE code of the province.
INE name of the province.
INE code of the municipality.
Name of the municipality.
LAU Code (GISCO) of the municipality. This is a combination of cpro and cmun fields, aligned with INE coding scheme.
geometry field.
https://ec.europa.eu/eurostat/web/gisco/geodata/statistical-units/local-administrative-units, LAU 2019 data.
Other datasets:
esp_codelist
,
esp_nuts.sf
,
esp_tiles_providers
,
pobmun19
Other municipalities:
esp_get_capimun()
,
esp_get_munic()
data("esp_munic.sf") teruel_cpro <- esp_dict_region_code("Teruel", destination = "cpro") teruel_sf <- esp_munic.sf[esp_munic.sf$cpro == teruel_cpro, ] teruel_city <- teruel_sf[teruel_sf$name == "Teruel", ] # Plot library(ggplot2) ggplot(teruel_sf) + geom_sf(fill = "#FDFBEA") + geom_sf(data = teruel_city, aes(fill = name)) + scale_fill_manual( values = "#C12838", labels = "City of Teruel" ) + guides(fill = guide_legend(position = "inside")) + labs( fill = "", title = "Municipalities of Teruel" ) + theme_minimal() + theme( text = element_text(face = "bold"), panel.background = element_rect(colour = "black"), panel.grid = element_blank(), legend.position.inside = c(.2, .95) )
data("esp_munic.sf") teruel_cpro <- esp_dict_region_code("Teruel", destination = "cpro") teruel_sf <- esp_munic.sf[esp_munic.sf$cpro == teruel_cpro, ] teruel_city <- teruel_sf[teruel_sf$name == "Teruel", ] # Plot library(ggplot2) ggplot(teruel_sf) + geom_sf(fill = "#FDFBEA") + geom_sf(data = teruel_city, aes(fill = name)) + scale_fill_manual( values = "#C12838", labels = "City of Teruel" ) + guides(fill = guide_legend(position = "inside")) + labs( fill = "", title = "Municipalities of Teruel" ) + theme_minimal() + theme( text = element_text(face = "bold"), panel.background = element_rect(colour = "black"), panel.grid = element_blank(), legend.position.inside = c(.2, .95) )
sf
object with all the NUTS levels of Spain (2016)A sf
object including all NUTS levels of Spain as provided by
GISCO (2016 version).
A sf
object (resolution: 1:1million, EPSG:4258) with
86 rows and columns:
NUTS level code (0,1,2,3)
NUTS identifier
Urban Type, see Details
Eurostat Country code ES
NUTS name on Latin characters
NUTS name on local alphabet
Mount Type, see Details
Coast Type, see Details
FID
geometry 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
https://gisco-services.ec.europa.eu/distribution/v2/nuts/, file
NUTS_RG_20M_2016_4326.geojson
.
Other datasets:
esp_codelist
,
esp_munic.sf
,
esp_tiles_providers
,
pobmun19
Other nuts:
esp_get_nuts()
data("esp_nuts.sf") nuts <- esp_nuts.sf # Select NUTS 3 nuts3 <- esp_nuts.sf[esp_nuts.sf$LEVL_CODE == 3, ] # Combine with full shape spain <- esp_get_country(moveCAN = FALSE) # Plot Urban Type: See # https://ec.europa.eu/eurostat/web/rural-development/methodology library(ggplot2) nuts3$URBN_TYPE_cat <- as.factor(nuts3$URBN_TYPE) levels(nuts3$URBN_TYPE_cat) levels(nuts3$URBN_TYPE_cat) <- c("Urban", "Intermediate", "Rural") ggplot(nuts3) + geom_sf(aes(fill = URBN_TYPE_cat), linewidth = .1) + scale_fill_manual(values = c("grey80", "#FFC183", "#68AC20")) + labs( title = "NUTS3 levels of Spain", fill = "Urban topology" ) + theme_linedraw()
data("esp_nuts.sf") nuts <- esp_nuts.sf # Select NUTS 3 nuts3 <- esp_nuts.sf[esp_nuts.sf$LEVL_CODE == 3, ] # Combine with full shape spain <- esp_get_country(moveCAN = FALSE) # Plot Urban Type: See # https://ec.europa.eu/eurostat/web/rural-development/methodology library(ggplot2) nuts3$URBN_TYPE_cat <- as.factor(nuts3$URBN_TYPE) levels(nuts3$URBN_TYPE_cat) levels(nuts3$URBN_TYPE_cat) <- c("Urban", "Intermediate", "Rural") ggplot(nuts3) + geom_sf(aes(fill = URBN_TYPE_cat), linewidth = .1) + scale_fill_manual(values = c("grey80", "#FFC183", "#68AC20")) + labs( title = "NUTS3 levels of Spain", fill = "Urban topology" ) + theme_linedraw()
This function will store your cache_dir
path on your local machine and
would load it for future sessions. Type Sys.getenv("MAPSPAIN_CACHE_DIR")
to
find your cached path.
Alternatively, you can store the cache_dir
manually with the following
options:
Run Sys.setenv(MAPSPAIN_CACHE_DIR = "cache_dir")
. You would need to
run this command on each session (Similar to install = FALSE
).
Set options(mapSpain_cache_dir = "cache_dir")
. Similar to the previous
option. This is not recommended any more, and it is provided for
backwards compatibility purposes.
Write this line on your .Renviron file:
MAPSPAIN_CACHE_DIR = "value_for_cache_dir"
(same behavior than
install = TRUE
). This would store your cache_dir
permanently.
esp_set_cache_dir( cache_dir, overwrite = FALSE, install = FALSE, verbose = TRUE )
esp_set_cache_dir( cache_dir, overwrite = FALSE, install = FALSE, verbose = TRUE )
cache_dir |
A path to a cache directory. On missing value the function
would store the cached files on a temporary dir (See |
overwrite |
Logical. If this is set to |
install |
Logical. If |
verbose |
Logical, displays information. Useful for debugging,
default is |
An (invisible) character with the path to your cache_dir
.
Other cache utilities:
esp_clear_cache()
,
esp_detect_cache_dir()
# Don't run this! It would modify your current state ## Not run: esp_set_cache_dir(verbose = TRUE) ## End(Not run) Sys.getenv("MAPSPAIN_CACHE_DIR")
# Don't run this! It would modify your current state ## Not run: esp_set_cache_dir(verbose = TRUE) ## End(Not run) Sys.getenv("MAPSPAIN_CACHE_DIR")
A named list
of length 102
containing the parameters of the url information of different public WMS and
WMTSproviders of Spain.
Implementation of javascript plugin leaflet-providersESP v1.3.3.
A named list
of the providers available with the following structure:
Each item of the list is named with the provider alias.
Each element of the list contains two nested named lists:
static
with the parameters to get static tiles plus an additional item
named attribution
.
leaflet
with additional parameters to be passed onto
addProviderEspTiles()
.
Providers available to be passed to type
on esp_getTiles()
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/ leaflet plugin, v1.3.3.
Other datasets:
esp_codelist
,
esp_munic.sf
,
esp_nuts.sf
,
pobmun19
Other imagery utilities:
addProviderEspTiles()
,
esp_getTiles()
,
esp_make_provider()
data("esp_tiles_providers") # Get a single provider single <- esp_tiles_providers[["IGNBase.Todo"]] single$static single$leaflet
data("esp_tiles_providers") # Get a single provider single <- esp_tiles_providers[["IGNBase.Todo"]] single$static single$leaflet
Database with the population of Spain by municipality (2019)
An example data.frame
object with
8,131 rows containing the
population data by municipality in Spain (2019).
INE code of the province.
name of the province.
INE code of the municipality.
Name of the municipality.
Overall population (2019)
Men population (2019)
Women population (2019)
INE: Instituto Nacional de Estadistica https://www.ine.es/
Other datasets:
esp_codelist
,
esp_munic.sf
,
esp_nuts.sf
,
esp_tiles_providers
data("pobmun19")
data("pobmun19")