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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.
Version: | 1.0-1 |
Depends: | R (≥ 3.5.0) |
Suggests: | knitr, rmarkdown, terra, sf, tmap, mapview |
Published: | 2023-02-07 |
DOI: | 10.32614/CRAN.package.disdat |
Author: | Robert J. Hijmans |
Maintainer: | Roozbeh Valavi <valavi.r at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Citation: | disdat citation info |
CRAN checks: | disdat results |
Reference manual: | disdat.pdf |
Vignettes: |
Data Visualisation for 'disdat' data Modeling NCEAS data |
Package source: | disdat_1.0-1.tar.gz |
Windows binaries: | r-devel: disdat_1.0-1.zip, r-release: disdat_1.0-1.zip, r-oldrel: disdat_1.0-1.zip |
macOS binaries: | r-release (arm64): disdat_1.0-1.tgz, r-oldrel (arm64): disdat_1.0-1.tgz, r-release (x86_64): disdat_1.0-1.tgz, r-oldrel (x86_64): disdat_1.0-1.tgz |
Old sources: | disdat archive |
Reverse suggests: | predicts |
Please use the canonical form https://CRAN.R-project.org/package=disdat to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.