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weatherjoin: Join Gridded Weather Data to Event Tables

High-level tools to attach gridded weather data from the NASA POWER Project to event-based datasets. The package plans efficient spatio-temporal API calls via the 'nasapower' R package, caches downloaded segments locally, and joins weather variables back to the input table using exact or rolling joins. This package is not affiliated with or endorsed by NASA.

Version: 0.2.2
Depends: R (≥ 4.1.0)
Imports: data.table, jsonlite
Suggests: nasapower, digest, fst, anytime, testthat (≥ 3.0.0), knitr, rmarkdown, withr
Published: 2026-02-04
DOI: 10.32614/CRAN.package.weatherjoin
Author: Przemek Dolowy [aut, cre] (affiliation: Harper Adams University)
Maintainer: Przemek Dolowy <pdolowy at harper-adams.ac.uk>
BugReports: https://github.com/hauae/weatherjoin/issues
License: MIT + file LICENSE
URL: https://github.com/hauae/weatherjoin
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: weatherjoin results

Documentation:

Reference manual: weatherjoin.html , weatherjoin.pdf
Vignettes: Joining Weather Data to Event Tables with weatherjoin (source, R code)

Downloads:

Package source: weatherjoin_0.2.2.tar.gz
Windows binaries: r-devel: weatherjoin_0.2.2.zip, r-release: weatherjoin_0.2.2.zip, r-oldrel: weatherjoin_0.2.2.zip
macOS binaries: r-release (arm64): weatherjoin_0.2.2.tgz, r-oldrel (arm64): weatherjoin_0.2.2.tgz, r-release (x86_64): weatherjoin_0.2.2.tgz, r-oldrel (x86_64): weatherjoin_0.2.2.tgz
Old sources: weatherjoin archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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