mapSpain (version 0.6.1)

esp_get_munic: Get municipalities of Spain as sf polygons

Description

Returns municipalities of Spain as polygons 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.

Usage

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
)

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.

resolution

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

rawcols

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

Value

A sf polygon

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.

Details

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

See Also

giscoR::gisco_get_lau(), base::regex().

Other political: esp_codelist, esp_get_can_box(), esp_get_capimun(), esp_get_ccaa(), esp_get_country(), esp_get_gridmap, esp_get_nuts(), esp_get_prov()

Other municipalities: esp_get_capimun(), esp_munic.sf

Examples

# NOT RUN {
# 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()
# }