Package: disdat 1.1-0

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_1.1-0.tar.gz
disdat_1.1-0.zip(r-4.7-any)disdat_1.1-0.zip(r-4.6-any)disdat_1.1-0.zip(r-4.5-any)
disdat_1.1-0.tgz(r-4.6-any)disdat_1.1-0.tgz(r-4.5-any)
disdat_1.1-0.tar.gz(r-4.7-any)disdat_1.1-0.tar.gz(r-4.6-any)
disdat_1.1-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
disdat/json (API)

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

Bug tracker:https://github.com/rvalavi/disdat/issues

On CRAN:

Conda:

4.95 score 2 stars 1.5k downloads 9 exports 0 dependencies

Last updated from:817fd6d586. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK138
source / vignettesOK232
linux-releaseOK150
macos-releaseOK198
macos-oldrelOK189
windows-develOK85
windows-releaseOK84
windows-oldrelOK140
wasm-releaseOK126

Exports:disBgdisBorderdisCRSdisDatadisEnvdisMapBookdisPadisPodisPredictors

Dependencies:

Data Visualisation for disdat data
Correlation matrix | Density plots | Nearest-neighbour distance | Mapping species data | Plotting static map | Plotting interactive map
Rendered fromdata_vis.Rmdusingknitr::rmarkdown

Last update: 2026-05-03
Started: 2020-05-24

Modeling NCEAS data
Introduction | Modeling all species with one modeling method - example | Evaluating the models | Creating target group background (TGB) sample | TGB example | References
Rendered frommodeling.Rmdusingknitr::rmarkdown

Last update: 2026-05-03
Started: 2020-05-24