Geospatial Data for Uruguay

Provides geospatial data for Uruguay, including country boundaries and administrative divisions (departments). Data are provided as 'sf' objects ready for use with the 'sf' and 'ggplot2' packages.

uygeo

uygeo provides ready-to-use geospatial data for Uruguay as sf objects. The package is inspired by crgeo and follows the same design philosophy: minimal dependencies, tidy data, and compatibility with the tidyverse ecosystem.

Installation

You can install the development version of uygeo from GitHub:

# install.packages("pak")
pak::pak("ManuelSpinola/uygeo")

Available datasets

Usage

Country boundary

library(uygeo)
library(ggplot2)

ggplot(uy) +
  geom_sf(fill = "#009FCC", color = "white") +
  theme_minimal() +
  labs(title = "Uruguay")

Departamentos

ggplot(uy_departamentos) +
  geom_sf(fill = "#009FCC", color = "white") +
  theme_minimal() +
  labs(title = "Departamentos de Uruguay")

Label each departamento

library(sf)

ggplot(uy_departamentos) +
  geom_sf(fill = "#E8F4F8", color = "#009FCC") +
  geom_sf_text(aes(label = NOMDEPTO), size = 2.5, color = "gray30") +
  theme_void() +
  labs(
    title = "Uruguay",
    subtitle = "División departamental",
    caption = "Fuente: INE Uruguay, Censo 2023"
  )

Data sources

• Instituto Nacional de Estadística (INE) — límites departamentales, Censo 2023. Licencia de Datos Abiertos Uruguay.

Related packages

• crgeo — geospatial data for Costa Rica (same author)
• sf — simple features for R

Citation

citation("uygeo")

To cite uygeo in publications use:

  Manuel Spinola (2025). uygeo: Geospatial Data for Uruguay. R package
  version 0.1.0. https://github.com/ManuelSpinola/uygeo

A BibTeX entry for LaTeX users is:

  @Manual{,
    title  = {uygeo: Geospatial Data for Uruguay},
    author = {Manuel Spinola},
    year   = {2025},
    note   = {R package version 0.1.0},
    url    = {https://github.com/ManuelSpinola/uygeo},
  }

License

MIT © Manuel Spinola