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


Reference manual: dismo.pdf
Vignettes: SDM


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, changeRangeR, ctmcmove, dartR, dartR.base, dartR.spatial, maskRangeR, maxlike, rangeModelMetadata, sdm, wallace


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