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]

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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'))

On CRAN:

Conda:

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

2.92 score 42 scripts 306 downloads 9 exports 0 dependencies

Last updated 2 years agofrom:6583775f40. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-winOKMar 01 2025
R-4.5-macOKMar 01 2025
R-4.5-linuxOKMar 01 2025
R-4.4-winOKMar 01 2025
R-4.4-macOKMar 01 2025
R-4.3-winOKMar 01 2025
R-4.3-macOKMar 01 2025

Exports:disBgdisBorderdisCRSdisDatadisEnvdisMapBookdisPadisPodisPredictors

Dependencies:

Data Visualisation for disdat data

Jane Elith and Roozbeh Valavi

Rendered fromdata_vis.Rmdusingknitr::rmarkdownon Mar 01 2025.

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

Modeling NCEAS data

Jane Elith and Roozbeh Valavi

Rendered frommodeling.Rmdusingknitr::rmarkdownon Mar 01 2025.

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