Package: ClimaRep 1.0

Mario Mingarro

ClimaRep: Estimating Climate Representativeness

Offers tools to estimate the climate representativeness of reference polygons and quantifies 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>.

Authors:Mario Mingarro [aut, cre], Gabriel del Barrio [ctb], Jorge M. Lobo [ctb]

ClimaRep_1.0.tar.gz
ClimaRep_1.0.tar.gz(r-4.7-any)ClimaRep_1.0.tar.gz(r-4.6-any)
ClimaRep_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ClimaRep/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 5 scripts 190 downloads 4 exports 44 dependencies

Last updated from:7de661f423. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK226
source / vignettesOK169
linux-release-x86_64OK207
wasm-releaseOK133

Exports:mh_repmh_rep_chrep_overlayvif_filter

Dependencies:classclassIntclicpp11data.tableDBIdplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfstringistringrterratibbletidyrtidyselecttidyterraunitsutf8vctrsviridisLitewithrwk