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POLYGON
object of Spain (2019)A sf
object including all municipalities of Spain as provided by GISCO
(2019 version).
A POLYGON
data frame (resolution: 1:1million, EPSG:4258) object with
8,131 rows and fields:
codauto: INE code of each autonomous community.
ine.ccaa.name: INE name of each autonomous community.
cpro: INE code of each province.
ine.prov.name: INE name of each province.
cmun: INE code of each municipality.
name: Name of the municipality.
LAU_CODE: LAU Code (GISCO) of the municipality. This is a combination of cpro and cmun, aligned with INE coding scheme.
geometry: geometry field.
Other datasets:
esp_codelist
,
esp_nuts.sf
,
leaflet.providersESP.df
,
pobmun19
Other municipalities:
esp_get_capimun()
,
esp_get_munic()
# NOT RUN {
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)
library(ggspatial)
ggplot(teruel_sf) +
geom_sf(fill = "#FDFBEA") +
geom_sf(data = teruel_city, aes(fill = name)) +
scale_fill_manual(
values = "#C12838",
labels = "City of Teruel"
) +
labs(
fill = "",
title = "Municipalities of Teruel"
) +
annotation_scale(location = "br") +
annotation_north_arrow(style = north_arrow_nautical) +
theme_minimal() +
theme(
text = element_text(face = "bold"),
panel.background = element_rect(colour = "black"),
panel.grid = element_blank(),
legend.position = c(.2, .95)
)
# }
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