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: 1.3-3
Depends: R (≥ 3.2.0), raster (≥ 2.5-2), sp (≥ 1.2-0)
Imports: Rcpp, methods
LinkingTo: Rcpp
Suggests: rJava (≥ 0.9-7), terra, rgdal, rgeos, XML, ROCR, deldir, gstat, randomForest, kernlab, maptools, jsonlite, gbm (≥ 2.1.1)
Published: 2020-11-17
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: BRT
Package source: dismo_1.3-3.tar.gz
Windows binaries: r-devel: dismo_1.3-3.zip, r-release: dismo_1.3-3.zip, r-oldrel: dismo_1.3-3.zip
macOS binaries: r-release: dismo_1.3-3.tgz, r-oldrel: dismo_1.3-3.tgz
Old sources: dismo archive

Reverse dependencies:

Reverse depends: ENMeval, ENMTools
Reverse imports: biomod2, ecospat, GmAMisc, GSIF, MinBAR, plotKML, PopGenReport, red, sdmApp, SDMPlay, SDMtune, sdStaf, SSDM, TreeLS, wallace, zoon
Reverse suggests: BiodiversityR, biogeo, ctmcmove, dartR, maxlike, rangeModelMetadata, sdm, streamDepletr


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