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dismo: Species Distribution Modeling

Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.

Version: 1.3-14
Depends: R (≥ 3.6.3), raster (≥ 3.5-21), sp (≥ 1.4-5)
Imports: Rcpp, methods, terra (≥ 1.5-34)
LinkingTo: Rcpp
Suggests: rJava (≥ 0.9-7), XML, ROCR, deldir, gstat, randomForest, kernlab, jsonlite, gbm (≥ 2.1.1)
Published: 2023-05-21
DOI: 10.32614/CRAN.package.dismo
Author: Robert J. Hijmans, Steven Phillips, John Leathwick and Jane Elith
Maintainer: Robert J. Hijmans <r.hijmans at gmail.com>
BugReports: https://github.com/rspatial/dismo/issues/
License: GPL (≥ 3)
URL: https://rspatial.org/raster/sdm/
NeedsCompilation: yes
SystemRequirements: Java (>= 8)
Materials: ChangeLog
CRAN checks: dismo results

Documentation:

Reference manual: dismo.pdf
Vignettes: SDM

Downloads:

Package source: dismo_1.3-14.tar.gz
Windows binaries: r-devel: dismo_1.3-14.zip, r-release: dismo_1.3-14.zip, r-oldrel: dismo_1.3-14.zip
macOS binaries: r-release (arm64): dismo_1.3-14.tgz, r-oldrel (arm64): dismo_1.3-14.tgz, r-release (x86_64): dismo_1.3-14.tgz, r-oldrel (x86_64): dismo_1.3-14.tgz
Old sources: dismo archive

Reverse dependencies:

Reverse depends: ENMTools
Reverse imports: ecospat, ENMeval, gbm.auto, hemispheR, NicheBarcoding, PopGenReport, red, SDMtune, SSDM, webSDM
Reverse suggests: BiodiversityR, biomod2, ctmcmove, dartR, dartR.base, dartR.spatial, maskRangeR, maxlike, rangeModelMetadata, sdm, wallace

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dismo 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.