Package: climodr 1.0.0-9.1.1

Alexander Klug

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.

Authors:Alexander Klug [aut, cre, cph], Luise Wraase [aut], Seda Bekar [ctb], Dirk Zeuss [aut]

climodr_1.0.0-9.1.1.tar.gz
climodr_1.0.0-9.1.1.zip(r-4.7-any)climodr_1.0.0-9.1.1.zip(r-4.6-any)climodr_1.0.0-9.1.1.zip(r-4.5-any)
climodr_1.0.0-9.1.1.tgz(r-4.6-any)climodr_1.0.0-9.1.1.tgz(r-4.5-any)
climodr_1.0.0-9.1.1.tar.gz(r-4.7-any)climodr_1.0.0-9.1.1.tar.gz(r-4.6-any)
climodr_1.0.0-9.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
climodr/json (API)

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

Bug tracker:https://github.com/envima/climodr/issues

Datasets:

On CRAN:

Conda:

3.48 score 1 stars 3 scripts 245 downloads 18 exports 102 dependencies

Last updated from:1abf6d2eb8. Checks:8 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR140
source / vignettesERROR302
linux-releaseERROR152
macos-releaseERROR166
macos-oldrelERROR183
windows-develERROR94
windows-releaseERROR80
windows-oldrelERROR78
wasm-releaseOK127

Exports:aggregate_sensorautocorrcalc.indicescalc.modelclim.sampleclimplotclimpredcrop.allenvi.createextractPredictorsfin.csvprep.csvprepClimateStationsprepRasterDataproc.csvreadClimateDataspat.csvsplitTime

Dependencies:askpasscaretCASTclassclassIntcliclockcodetoolscorrplotcpp11curldata.tableDBIdiagramdigestdoParalleldplyre1071farverFNNforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathttripredisobanditeratorsjsonliteKernSmoothlabelinglareslatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmimeModelMetricsnlmennetnumDerivopensslopenxlsxparallellypatchworkpillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartrpart.plotrvests2S7scalesselectrsfshapesparsevctrsSQUAREMstringistringrsurvivalsysterratibbletidyrtidyselecttimechangetimeDatetwosamplestzdbunitsutf8vctrsviridisLitewithrwkxml2yamlzipzoo