R Observatory: Metrics for climateBR version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

climateBR

0.2.0Package record

Download Rainfall, Temperature, and Wind Data from Brazil

0packages depend

893downloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Kaio BárbaraCRAN page ↗GitHub ↗Issues ↗

Provides functions to download and import meteorological data from Brazil's National Institute of Meteorology (INMET) https://portal.inmet.gov.br.

Changes in 0.2.0

This new release introduces a new function, revamps the existing datasets with cleaner and more concise versions, and, most importantly, fixes several bugs related to downloading data and building the INMET database.

New function

nearest_stations — helps users identify the distances between municipalities and INMET stations and determine which stations are closest to each municipality.

Datasets

inmet_stations — this dataset is essentially a revamped version of the previous rain_stations dataset. The older dataset contained information on INMET stations available from 2000 to 2024, meaning that the same station could appear multiple times across different years. The new version uses the most recent station information available through 2026 and contains one observation per station, avoiding unnecessary repetition.
mun_stations — the previous mun_stations_distance dataset contained the distances between municipalities and INMET stations for every two-year period from 2008 to 2024. This new version contains the distances calculated between municipalities and INMET stations using the inmet_stations dataset and the nearest_stations function.
municipality — a brand-new dataset containing basic information on Brazilian municipalities, including IBGE and TSE municipality codes, state, and the latitude and longitude of each municipality's centroid.
floods_rs — renamed the 'id_who' column to 'code_wmo'.

Bugfixes and Quality of Life

Blank CSV files from 2026 could cause the build_inmet_dataset process to fail. This bug has been fixed.
The data variable in the time series from later years were categorized differently, which could result in an inconsistent partitioned database when using build_inmet_dataset and cause errors when running read_inmet.
New parameters years and partitioning_by, have been added to build_inmet_dataset.

Show all changes in 0.2.0Hide the rest of the changes in 0.2.0

Added a progress bar to the download_inmet() and build_inmet_dataset() functions.

From NEWS.md in the release

Install

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

install.packages("climateBR", 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("kaiorb52/climateBR")

Development version from kaiorb52/climateBR. 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-climatebr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-climateBR

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-climateBR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2ERROR11OK

Check messages

ERRORre-building of vignette outputsr-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

r-devel-linux-x86_64-fedora-clang

Error(s) in re-building vignettes:
--- re-building ‘introduction.Rmd’ using rmarkdown
[WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead.
--- finished re-building ‘introduction.Rmd’

--- re-building ‘kriging.Rmd’ using rmarkdown
trying URL 'https://github.com/kaiorb52/dados_municipais/raw/main/mun_24.rda'
Content type 'application/octet-stream' length 8238032 bytes (7.9 MB)
==================================================
downloaded 7.9 MB

OMP: Warning #96: Cannot form a team with 28 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
--- re-building ‘nearest_station.Rmd’ using rmarkdown
trying URL 'https://github.com/kaiorb52/dados_municipais/raw/main/mun_24.rda'
Content type 'application/octet-stream' length 8238032 bytes (7.9 MB)
==================================================
downloaded 7.9 MB

[WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead.
--- finished re-building ‘nearest_station.Rmd’

SUMMARY: processing the following file failed:
  ‘kriging.Rmd’

Error: Vignette re-building failed.
Execution halted

r-devel-linux-x86_64-fedora-gcc

Error(s) in re-building vignettes:
--- re-building ‘introduction.Rmd’ using rmarkdown
[WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead.
--- finished re-building ‘introduction.Rmd’

Warning: elapsed-time limit of 1 hours reached for sub-process
--- re-building ‘kriging.Rmd’ using rmarkdown
trying URL 'https://github.com/kaiorb52/dados_municipais/raw/main/mun_24.rda'
Content type 'application/octet-stream' length 8238032 bytes (7.9 MB)
==================================================
downloaded 7.9 MB

--- re-building ‘nearest_station.Rmd’ using rmarkdown
trying URL 'https://github.com/kaiorb52/dados_municipais/raw/main/mun_24.rda'
Content type 'application/octet-stream' length 8238032 bytes (7.9 MB)
==================================================
downloaded 7.9 MB

[WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead.
--- finished re-building ‘nearest_station.Rmd’

SUMMARY: processing the following file failed:
  ‘kriging.Rmd’

Error: Vignette re-building failed.
Execution halted

CRAN check page ↗

Slowest check: 91.7 min · r-devel-linux-x86_64-fedora-clang

Status changes

ERROR11 OK, 2 ERRORNow
ERROR4 OK, 2 ERROR2026-08-08

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 217 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNo

Help pages: 11
Examples that run: 64%7 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (3)

How these are measured

Downloads

893

CRAN downloads in the past year

Rank #12,553 · ~2/day · ~74/mo

Releases R versions

Daily download trend is not available in this view yet.

31930 days

89390 days

8931 year

Compare downloads with other packages →

Also on26 r2u15 autocran

How downloads are counted

Repository

kaiorb52/climatebr ↗Account: kaiorb52

5Stars

0Forks

0Open issues

0Open PRs

3Releases

63Commits

1Commit identities

63 commits · Last activity 2026-10-12 · +66.7% stars, 30d · Default branch at 0.2.5, ahead of CRAN 0.2.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 13
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-08-08 · 02026-09-28 · 5

How these are measured

PracticesBeta

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

Checks run against github.com/kaiorb52/climatebr on 2026-10-18.

Continuous integration (1)

GitHub Actions

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-10-12 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing climateBR adds 50 packages (32 with compiled code, 61 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, data.table 5.7 MB.

Depends (4)

R >= 4.1.0rlang sf gstat

Imports (9)

glue arrow dplyr tidyr janitor data.table pracma purrr tibble

LinkingTo (0)

none

Suggests (5)

knitr rmarkdown ggplot2 patchwork geobr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Kaio Bárbara

Releases (2)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-08-19 · current release · diff ↗ ·
added 1 export
nearest_stations
0.1.0
record
2026-08-07
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-07
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.5 MB / 6 files
Download size: 1.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("climateBR")

Format

Bárbara, K. (2026). climateBR: Download Rainfall, Temperature, and Wind Data from Brazil (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.climateBR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 climateBR version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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