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Get sf points of the municipalities of Spain

Source: R/esp_get_capimun.R
esp_get_capimun.Rd

Get 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().

Usage

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

Source

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

Arguments

year

Release year. See Details for years available.

epsg

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

  • "4258": ETRS89

  • "4326": WGS84

  • "3035": ETRS89 / ETRS-LAEA

  • "3857": Pseudo-Mercator

cache

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

update_cache

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

cache_dir

A path to a cache directory. See About caching.

verbose

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

region

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

munic

A name or regex expression with the names of the required municipalities. NULL would not produce any filtering.

moveCAN

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

rawcols

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

Value

A sf point object.

Details

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 superior level (Province, Autonomous Community or NUTS1) , all the municipalities of that level would be added.

About caching

You can set your cache_dir with esp_set_cache_dir().

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

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

Displacing the Canary Islands

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

See also

Other political: esp_codelist, esp_get_can_box(), esp_get_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

Examples

# \dontrun{
# This code compares centroids of municipalities against esp_get_capimun
# It also download tiles, make sure you are online

library(sf)
#> Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; sf_use_s2() is TRUE

# 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"))
#> [1] "353.42 km2"

# Extract centroid
centroid <- sf::st_centroid(area)
#> Warning: st_centroid assumes attributes are constant over geometries
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")

# }