The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Offers tools to estimate the climate representativeness of defined areas and quantifies and analyzes its transformation under future climate change scenarios. Approaches described in Mingarro and Lobo (2018) <doi:10.32800/abc.2018.41.0333> and Mingarro and Lobo (2022) <doi:10.1017/S037689292100014X>.
Version: | 0.6 |
Imports: | ggplot2, terra, utils, stats, sf, tidyterra |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2025-06-27 |
DOI: | 10.32614/CRAN.package.ClimaRep |
Author: | Mario Mingarro Lopez
|
Maintainer: | Mario Mingarro Lopez <mario_mingarro at mncn.csic.es> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | ClimaRep results |
Reference manual: | ClimaRep.pdf |
Package source: | ClimaRep_0.6.tar.gz |
Windows binaries: | r-devel: ClimaRep_0.6.zip, r-release: not available, r-oldrel: ClimaRep_0.6.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): ClimaRep_0.6.tgz, r-oldrel (x86_64): ClimaRep_0.6.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ClimaRep to link to this page.
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.
Health stats visible at Monitor.