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Get a sf hexbin or squared POLYGON of Spain

Source: R/esp_get_gridmap.R
esp_get_gridmap.Rd

Loads a hexbin map (sf object) or a map of squares with the boundaries of the provinces or autonomous communities of Spain.

Usage

esp_get_hex_prov(prov = NULL)

esp_get_hex_ccaa(ccaa = NULL)

esp_get_grid_prov(prov = NULL)

esp_get_grid_ccaa(ccaa = NULL)

Arguments

prov

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

ccaa

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

Value

A sf POLYGON object.

Details

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.

See also

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()

Examples

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")
#> Warning: st_point_on_surface may not give correct results for longitude/latitude data






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")
#> Warning: st_point_on_surface may not give correct results for longitude/latitude data




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")
#> Warning: st_point_on_surface may not give correct results for longitude/latitude data



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")
#> Warning: st_point_on_surface may not give correct results for longitude/latitude data