climodr: Climate Modeling with Point Data from Climate Stations
An automated and streamlined workflow for predictive climate
mapping using climate station data. Works within an environment
the user provides a destined path to - otherwise it's tempdir().
Quick and relatively easy creation of resilient and reproducible
climate models, predictions and climate maps, shortening the
usually long and complicated work of predictive modelling.
For more information, please find the provided URL.
Many methods in this package are new, but the main method is based
on a workflow from
Meyer (2019) <doi:10.1016/j.ecolmodel.2019.108815>
and
Meyer (2022) <doi:10.1038/s41467-022-29838-9> , however, it was generalized and adjusted in the context of this package.
| Version: |
1.0.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
caret, CAST, corrplot, doParallel, dplyr, grDevices, lares, magrittr, parallel, rlang, stats, stringr, terra, tidyr, utils |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), pls, randomForest, sp |
| Published: |
2025-06-12 |
| DOI: |
10.32614/CRAN.package.climodr |
| Author: |
Alexander Klug [aut, cre, cph],
Luise Wraase [aut],
Seda Bekar [ctb],
Dirk Zeuss [aut] |
| Maintainer: |
Alexander Klug <kluga at students.uni-marburg.de> |
| BugReports: |
https://github.com/envima/climodr/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://envima.github.io/climodr/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
climodr results |
Documentation:
Downloads:
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