Package: climateBR 0.2.5

Kaio Bárbara

climateBR: Download Rainfall, Temperature, and Wind Data from Brazil

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

Authors:Kaio Bárbara [aut, cre, cph]

climateBR_0.2.5.tar.gz
climateBR_0.2.5.zip(r-4.7-any)climateBR_0.2.5.zip(r-4.6-any)climateBR_0.2.5.zip(r-4.5-any)
climateBR_0.2.5.tgz(r-4.6-any)climateBR_0.2.5.tgz(r-4.5-any)
climateBR_0.2.5.tar.gz(r-4.7-any)climateBR_0.2.5.tar.gz(r-4.6-any)
climateBR_0.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
climateBR/json (API)

# Install 'climateBR' in R:
install.packages('climateBR', repos = c('https://kaiorb52.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kaiorb52/climatebr/issues

Datasets:

On CRAN:

Conda:

5.92 score 5 stars 326 downloads 5 exports 53 dependencies

Last updated from:64a27f69de. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE186
source / vignettesOK242
linux-releaseNOTE183
macos-releaseNOTE207
macos-oldrelNOTE246
windows-develNOTE118
windows-releaseNOTE102
windows-oldrelNOTE169
wasm-releaseOK144

Exports:build_inmet_datasetdownload_inmetkriging_inmetnearest_stationsread_inmet

Dependencies:abindarrowassertthatbitbit64classclassIntclicpp11data.tableDBIdplyre1071FNNgenericsgluegstathmsintervalsjanitorKernSmoothlatticelifecyclelubridatemagrittrpillarpkgconfigpracmaproxypurrrR6Rcpprlangs2sfsftimesnakecasespspacetimestarsstringistringrtibbletidyrtidyselecttimechangeunitsutf8vctrswithrwkxtszoo

climateBR: An R package to download meteorological data from Brazil
Introduction | Installation | Stable version (CRAN) | Development version | Download data | Build the dataset | Read the dataset | How to Cite
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2026-10-02
Started: 2026-08-11

Finding the Closest INMET Station for Each Municipality
Introduction | Preparing the data | Finding the nearest station | Municipality–station connections
Rendered fromnearest_station.Rmdusingknitr::rmarkdown

Last update: 2026-10-02
Started: 2026-08-11

Spatial Interpolation Using Ordinary Kriging
Introduction | Input Data | Running the Kriging Model | Visualizing Kriging Predictions | Comparison with the Nearest-Station Approach
Rendered fromkriging.Rmdusingknitr::rmarkdown

Last update: 2026-10-02
Started: 2026-07-16