Package: disdat 1.0-1

disdat: Data for Comparing Species Distribution Modeling Methods

Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species distribution modelling methods.

Authors:Robert J. Hijmans [aut], Roozbeh Valavi [cre, aut], Jane Elith [aut]

disdat_1.0-1.tar.gz
disdat_1.0-1.zip(r-4.5)disdat_1.0-1.zip(r-4.4)disdat_1.0-1.zip(r-4.3)
disdat_1.0-1.tgz(r-4.4-any)disdat_1.0-1.tgz(r-4.3-any)
disdat_1.0-1.tar.gz(r-4.5-noble)disdat_1.0-1.tar.gz(r-4.4-noble)
disdat_1.0-1.tgz(r-4.4-emscripten)disdat_1.0-1.tgz(r-4.3-emscripten)
disdat.pdf |disdat.html
disdat/json (API)

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

Peer review:

On CRAN:

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

9 exports 0.00 score 0 dependencies 36 scripts 317 downloads

Last updated 2 years agofrom:6583775f40. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:disBgdisBorderdisCRSdisDatadisEnvdisMapBookdisPadisPodisPredictors

Dependencies:

Data Visualisation for disdat data

Rendered fromdata_vis.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2023-02-07
Started: 2020-09-17

Modeling NCEAS data

Rendered frommodeling.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2023-02-07
Started: 2020-09-17