R Observatory: Metrics for geoAr version 1.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

geoAr

1.2.2

Argentina's Spatial Data Toolbox

0packages depend

4Kdownloads / year

0.0%test coverage

13/13checks pass

Overview

About

Maintained by Juan Pablo Ruiz NicoliniFirst published 2023-02-253 releasesCRAN page ↗GitHub ↗

Collection of tools that facilitates data access and workflow for spatial analysis of Argentina. Includes historical information from censuses, administrative limits at different levels of aggregation, location of human settlements, among others. Since it is expected that the majority of users will be Spanish-speaking, the documentation of the package prioritizes this language, although an effort is made to also offer annotations in English.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("geoAr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("PoliticaArgentina/geoAr")

Development version from PoliticaArgentina/geoAr. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-geoar

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-geoAr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-geoAr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.01

0.0%

Coverage · measured lines

97%

Documentation · exports

14

Dependencies · direct

Check history

OK2026-08-20
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-08-18
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 1 earlier snapshots

ERROR2026-03-10
12 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE

Documentation

READMEYes · 408 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 34%
Documented parameters: 100%
Return-value docs: 100%
References docs: 54%

Downloads

4K

CRAN downloads in the past year

Rank #11,087 · ~11/day · ~333/mo

Releases R versions

Daily download trend is not available in this view yet.

25330 days

89590 days

4K1 year

Compare downloads with other packages →

Also on102 r2u26 autocran

Repository

GitHub ↗ politicaargentina/geoar

21Stars

1Forks

7Open issues

0Open PRs

2Releases

102Commits

2Contributors

rgisargentinageomapsdata

102 commits · Last activity 2026-05-08 · 0% stars, 30d

Stars over time

2025-07-14 · 182026-07-15 · 21

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/politicaargentina/geoar on 2026-08-23.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (14)

dplyr sf httr2 promises assertthat attempt tidyr stringr magrittr curl glue leaflet jsonlite purrr

LinkingTo (0)

none

Suggests (7)

testthat gt knitr rmarkdown geofacet ggplot2 tibble

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Juan Pablo Ruiz Nicolini

Author, Maintainer, Copyright holder

Authors (3)

Juan Pablo Ruiz Nicolini

Author, Maintainer, Copyright holder

Patricio Del Boca

Author · added in 1.0.0

Juan Gabriel Juara

Author · added in 1.0.0

Copyright holders (1)

Juan Pablo Ruiz Nicolini

Author, Maintainer, Copyright holder

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

1.2.2Latest
2026-05-08 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.0
2024-03-03 · diff ↗
unarchivedReturned to CRAN
2024-03-03
archivedRemoved from CRAN
2023-12-12
issues were not corrected in time Uses suggested packages unconditionally
R
R 4.3.0 released · 2023-04-21
0.0.1.4.2
2023-02-25
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-25
Total releases: 3 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 9.6 KB / 3 files
Download size: 530 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("geoAr")

Format

Ruiz Nicolini, J. P., Del Boca, P., & Juara, J. G. (2026). geoAr: Argentina's Spatial Data Toolbox (Version 1.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.geoAr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for geoAr version 1.2.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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