dismo: Species Distribution Modeling (original) (raw)

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: 1.3-16
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: 2024-11-25
DOI: 10.32614/CRAN.package.dismo
Author: Robert J. Hijmans ORCID iD [cre, aut], Steven Phillips [aut], John Leathwick [aut], Jane Elith [aut]
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:
In views: Agriculture, Spatial
CRAN checks: dismo results

Documentation:

Downloads:

Reverse dependencies:

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

Linking:

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