Package: ClimInd 0.1-6

Fergus Reig-Gracia

ClimInd: Climate Indices

Computes 138 standard climate indices at monthly, seasonal and annual resolution. These indices were selected, based on their direct and significant impacts on target sectors, after a thorough review of the literature in the field of extreme weather events and natural hazards. Overall, the selected indices characterize different aspects of the frequency, intensity and duration of extreme events, and are derived from a broad set of climatic variables, including surface air temperature, precipitation, relative humidity, wind speed, cloudiness, solar radiation, and snow cover. The 138 indices have been classified as follow: Temperature based indices (42), Precipitation based indices (22), Bioclimatic indices (21), Wind-based indices (5), Aridity/ continentality indices (10), Snow-based indices (13), Cloud/radiation based indices (6), Drought indices (8), Fire indices (5), Tourism indices (5).

Authors:Fergus Reig-Gracia [aut, cre], Sergio M. Vicente-Serrano [aut], Fernando Dominguez-Castro [aut], Joaquin Bedia-Jiménez [ctb]

ClimInd_0.1-6.tar.gz
ClimInd_0.1-6.zip(r-4.7-any)ClimInd_0.1-6.zip(r-4.6-any)ClimInd_0.1-6.zip(r-4.5-any)
ClimInd_0.1-6.tgz(r-4.6-any)ClimInd_0.1-6.tgz(r-4.5-any)
ClimInd_0.1-6.tar.gz(r-4.7-any)ClimInd_0.1-6.tar.gz(r-4.6-any)
ClimInd_0.1-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ClimInd/json (API)

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

Bug tracker:https://gitlab.com/indecis-eu/indecis

On CRAN:

Conda:

3.06 score 23 scripts 318 downloads 132 exports 41 dependencies

Last updated from:9738f30191. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING179
source / vignettesOK217
linux-releaseWARNING181
macos-releaseWARNING203
macos-oldrelWARNING189
windows-develWARNING109
windows-releaseWARNING92
windows-oldrelWARNING75
wasm-releaseOK132

Exports:aciasdatbibio10bio11bio13bio14bio15bio16bio17bio18bio19bio20bio4bio5bio6bio7bio8bio9calc_etocalculate_allcalculate_all_scalescccddcfdClimIndNewscmdcsdcsdicwdd32d50mmd95pdddd17dfx21dr1mmdr3mmdtreaiepetoetrextract_time_namesfdfgfg6bftfgcalmfodfpscfscfsdfxxgd4gslgsrgtggtngtxhd17hihsdidjcikoilpscmaimfimimoimsmsdngsrntgogs10ogs6pcipiciprcptotptgr10mmr20mmr95totr99totrtirx1dayrx5dscdsd0_10sd10_20sdiisndspei1spei12spei3spei6spi1spi12spi3spi6ssssdsspstn10stn15stx32suta_otm_stn10ptn90ptnntnxtrturctx10ptx90ptxntxxuaiucputcivcdvdtrvwdwciwkiwswsdixtgzcd

Dependencies:backportscheckmatechronclicontfraccpp11deSolveellipticfarvergenericsggplot2gluegoftestgtablehypergeoisobandlabelinglatticelifecyclelmomlmomcoLmomentslubridateMASSplyrR6RColorBrewerRcppRcppArmadilloreshaperlangS7scalesSPEItimechangeTLMomentsvctrsviridisLiteweathermetricswithrzoo