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: Linking:Please use the canonical form https://CRAN.R-project.org/package=climodr to link to this page.
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