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)disdat_1.1-0.zip(r-4.6)disdat_1.1-0.zip(r-4.5)
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:

6.13 score 2 stars 91 scripts 2.5k downloads 9 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK275
linux-release-x86_64OK139
macos-release-arm64OK117
macos-oldrel-arm64OK231
windows-develOK86
windows-releaseOK87
windows-oldrelOK91
wasm-releaseOK151

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