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

Dataset	Description	Rows
`uy`	Country boundary of Uruguay	1
`uy_departamentos`	Administrative divisions (19 departamentos)	19

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.

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},
  }