geouy is an R package that allows users to easily
access official spatial data sets of Uruguay. The package includes a
wide range of geospatial datasets as simple features
(sf), available at various geographic scales and for
various years with harmonized attributes and projection (see detailed
list below).
Installation
# From CRAN
install.packages("geouy")
library(geouy)
# Use the development version with latest features
utils::remove.packages('geouy')
devtools::install_github("RichDeto/geouy")
library(geouy)obs. If you use Linux, you need to install a couple
dependencies before installing the libraries sf and
geouy. More
info here.
Basic Usage
load_geouy
The syntax of all geouy functions operate one the same
logic so it becomes intuitive to download any data set using a single
line of code. Like this:
secc <- load_geouy("Secciones")Available datasets:
Administrative limits
| Layer | Productor | Source | Year | Format |
|---|---|---|---|---|
"Uruguay" |
"INE" |
MIDES | 2011 | wfs |
"Areas administrativas" |
"SGM" |
SGM | 2011 | wfs |
"Deptos" |
"INE" |
IDE | 2011 | wfs |
"Dptos" |
"DINAMA" |
“MVOTMA” | 2020 | wfs |
"Limites departamentales" |
"IGM" |
“IGM” | 2011 | wfs |
"Departamentos" |
"IDE" |
“MIDES” | 2011 | wfs |
"Secciones" |
"INE Censo" |
MIDES | 2011 | wfs |
"Segmentos" |
"INE Censo" |
MIDES | 2011 | wfs |
"Zonas" |
"INE Censo" |
MIDES | 2011 | wfs |
"Secc MVD 2004" |
"INE" |
MIDES | 2004 | wfs |
"Segm MVD 2004" |
"INE" |
MIDES | 2004 | wfs |
"Segm URB INT 2004" |
"INE" |
MIDES | 2004 | wfs |
"Zonas MVD 2004" |
"INE" |
MIDES | 2004 | wfs |
"Zonas URB INT 2004" |
"INE" |
MIDES | 2004 | wfs |
"Localidades pg" |
"INE Censo" |
MIDES | 2011 | wfs |
"Localidades pt" |
"INE Censo" |
MIDES | 2011 | wfs |
"Centros poblados pg" |
"SGM" |
SGM | 2011 | wfs |
"Centros poblados pt" |
"SGM" |
SGM | 2011 | wfs |
"Municipios10" |
"DINOT-IM-IC" |
MVOTMA | 2010 | zip |
"Municipios15" |
"DINOT-IM-IC" |
MVOTMA | 2015 | zip |
"CCZ" |
"INE" |
MIDES | 2011 | wfs |
"Asentamientos irregulares" |
"PMB" |
MIDES | 2014 | wfs |
"Barrios" |
"INE" |
MIDES | 2011 | wfs |
"Balnearios" |
"MTOP" |
MTOP | 2017 | wfs |
"Secciones catastrales" |
"DNC" |
MVOTMA | 2013 | zip |
"Padrones rurales" |
"DNC" |
“MVOTMA” | 2014 | zip |
"Padrones urbanos" |
"DNC" |
MVOTMA | 2014 | zip |
"Secciones policiales" |
"MI" |
MVOTMA | 2017 | zip |
Demography
| Layer | Productor | Source | Year | Format |
|---|---|---|---|---|
"LocHog11" |
"INE" |
IDE | 2011 | zip |
"LocPobHom11" |
"INE" |
IDE | 2011 | zip |
"LocPobMuj11" |
"INE" |
IDE | 2011 | zip |
"LocViv11" |
"INE" |
IDE | 2011 | zip |
Hidrology
| Layer | Productor | Source | Year | Format |
|---|---|---|---|---|
"Cuencas hidro N1" |
"DINAGUA" |
MVOTMA | 2020 | zip |
"Cuencas hidro N2" |
"DINAGUA" |
MVOTMA | 2020 | zip |
"Cuencas hidro N3" |
"DINAGUA" |
MVOTMA | 2020 | zip |
"Cuencas hidro N4" |
"DINAGUA" |
MVOTMA | 2020 | zip |
"Cuencas hidro N5" |
"DINAGUA" |
MVOTMA | 2020 | zip |
"Cursos de agua navegables y flotables" |
"MTOP" |
MTOP | 2019 | wfs |
"Lagunas publicas" |
"MTOP" |
MTOP | 2019 | wfs |
"Ambientes acuaticos" |
"FREPLATA" |
MVOTMA | 2009 | zip |
"Areas protegidas" |
DINAMA" |
MVOTMA | 2015 | zip |
"Baniados" |
"DINAMA" |
MVOTMA | NA | zip |
"Batimetria" |
"DINAMA" |
MVOTMA | 2020 | zip |
Ways
| Layer | Productor | Source | Year | Format |
|---|---|---|---|---|
"Rutas" |
"IDE" |
MIDES | 2017 | wfs |
"Calles" |
"IDE - UTE - IM" |
MIDES | 2017 | wfs |
"Peajes" |
"MTOP" |
MTOP | 2019 | wfs |
"Postes Kilometros" |
"MTOP" |
MTOP | 2019 | wfs |
Services
| Layer | Productor | Source | Year | Format |
|---|---|---|---|---|
"OTs" |
"MIDES" |
MIDES | 2022 | zip |
"Educación en Primera Infancia e Inicial" |
"CEIP" |
MIDES | 2020 | zip |
"Jardines de infantes" |
"CEIP" |
MIDES | 2020 | zip |
"Colegios privados N0a3" |
"CEIP" |
MIDES | 2020 | zip |
"Escuelas con N3" |
"CEIP" |
MIDES | 2020 | zip |
"Escuelas" |
"CEIP" |
MIDES | 2020 | zip |
"Educacion especial" |
"CEIP" |
MIDES | 2020 | zip |
"Educacion secundaria" |
"CEIP" |
MIDES | 2020 | zip |
"UTU" |
"ANEP" |
MIDES | 2020 | zip |
"Instituciones deportivas" |
"IDE" |
MIDES | 2015 | wfs |
"Playas" |
"DINAMA¨ |
MVOTMA | 2007 | zip |
which_uy()
Add to an sf object its spatial coincidence with one or
more administrative units in Uruguay, generating the corresponding
variables.
where_uy()
You get an sf object of one or more administrative units
in Uruguay, according to a query by code or name in the layer.
Datasets
metadata
This dataset has the metadata of all vector geometries provided by
geouy and detailed at the top
metadata_wms
This dataset has the metadata of all the raster services that will be
provided by geouy, although the functions are still under
development.
History
This package arises from the conjugation of own ideas with an eye on the region. It started as a part of the package where I work with @calcita at ech, and some geospatial service packages in the region mainly: geobr and chilemapas
This walk on the shoulders of giants, allows this package focused on this small country (my beautiful Uruguay), to have its own particularities although it tries to fit especially to geobr in its structure and with a view to complementing ech.
Community contributions es
This package intends to incorporate any function of general requirements that use the geographic data of Uruguay as a base. All contributions in this regard are welcome.
If you work with geographic data of Uruguay and want to add your function or data, we recommend that you read the following tips on how to collaborate:
To add your function:
- Fork of this repository
- Add your function as an `.R` file in the `R/` folder with the same name as the function
- Document it with `roxygen2` clarifying its functionality, parameters and an example of use. To see how it is documented to review another function in the same directory
- Remember at the end of the documentation you must add a # '@export
- Check that the types and values of your function parameters are fine (for example, you can look at `data-raw/metadata.R`
- Add the dependencies in the `DESCRIPTION` file
- Check the package with devtools::check()
- If everything works fine, then make a pull requestTo add geographic data to the load_geouy()
function:
- Fork of this repository
- Identify the corresponding WFS service URL
- Add a record to the `metadata` file in the `data-raw/` directory, with the corresponding data.
- Also include this record in the corresponding table of the `README.md` file, with the corresponding format.
- If everything works fine, then make a pull requestCitation
To cite geouy in publications, please use:
Detomasi, Richard (2021) “geouy: Geographic Information of Uruguay”. R package version 0.2.5 URL: https://github.com/RichDeto/geouy.
A BibTeX entry for LaTeX users is:
@Misc{geouy,
title = {geouy: Geographic Information of Uruguay},
author = {Richard Detomasi},
note = {R package version 0.2.5},
year = {2021},
url = {https://github.com/RichDeto/geouy},
}
