Package: dismo 1.3-14
Robert J. Hijmans
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.
Authors:
dismo_1.3-14.tar.gz
dismo_1.3-14.zip(r-4.5)dismo_1.3-14.zip(r-4.4)dismo_1.3-14.zip(r-4.3)
dismo_1.3-14.tgz(r-4.4-x86_64)dismo_1.3-14.tgz(r-4.4-arm64)dismo_1.3-14.tgz(r-4.3-x86_64)dismo_1.3-14.tgz(r-4.3-arm64)
dismo_1.3-14.tar.gz(r-4.5-noble)dismo_1.3-14.tar.gz(r-4.4-noble)
dismo_1.3-14.tgz(r-4.4-emscripten)dismo_1.3-14.tgz(r-4.3-emscripten)
dismo.pdf |dismo.html✨
dismo/json (API)
| # Install 'dismo' in R: |
| install.packages('dismo', repos = c('https://rspatial.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rspatial/dismo/issues
Datasets:
- Anguilla_grids - Anguilla australis distribution data
- Anguilla_test - Anguilla australis distribution data
- Anguilla_train - Anguilla australis distribution data
- ECOcrops - Ecocrop model
- acaule - Solanum acaule data
Last updated 12 months agofrom:d4e3fd8c61. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 04 2024 |
| R-4.5-win-x86_64 | NOTE | Sep 04 2024 |
| R-4.5-linux-x86_64 | NOTE | Sep 04 2024 |
| R-4.4-win-x86_64 | NOTE | Sep 04 2024 |
| R-4.4-mac-x86_64 | NOTE | Sep 04 2024 |
| R-4.4-mac-aarch64 | NOTE | Sep 04 2024 |
| R-4.3-win-x86_64 | NOTE | Sep 04 2024 |
| R-4.3-mac-x86_64 | NOTE | Sep 04 2024 |
| R-4.3-mac-aarch64 | NOTE | Sep 04 2024 |
Exports:bioclimbiovarscalc.deviancecircleHullcirclesconvHulldcEvaluatedomainecocropecolimevaluateevaluateROCRgbifgbm.fixedgbm.holdoutgbm.interactionsgbm.perspecgbm.plotgbm.plot.fitsgbm.simplifygbm.stepgeocodegeoDistgeoIDWgetCropgmapgridSamplekfoldmahalmaxentMercatormessnicheEquivalencynicheOverlapnullRandomplotpointspointValuespredictprepareDatapwdSamplerandomPointsrectHullresponsessbthresholdvoronoivoronoiHull
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Species distribution modeling | dismo-package dismo |
| Solanum acaule data | acaule |
| Anguilla australis distribution data | Anguilla_grids Anguilla_test Anguilla_train |
| Bioclim | bioclim bioclim,data.frame,missing-method bioclim,matrix,missing-method bioclim,Raster,data.frame-method bioclim,Raster,matrix-method bioclim,Raster,SpatialPoints-method bioclim,SpatialGridDataFrame,matrix-method bioclim,SpatialGridDataFrame,SpatialPoints-method Bioclim-class |
| bioclimatic variables | biovars biovars,matrix,matrix,matrix-method biovars,Raster,Raster,Raster-method biovars,vector,vector,vector-method |
| Box plot of model evaluation data | boxplot,ModelEvaluation-method |
| Calculate deviance | calc.deviance |
| Circle hull model | circleHull circleHull,data.frame-method circleHull,matrix-method circleHull,SpatialPoints-method CircleHull-class |
| Circles range | circles circles,data.frame-method circles,matrix-method circles,SpatialPoints-method CirclesRange-class |
| Convex hull model | ConvexHull-class convHull convHull,data.frame-method convHull,matrix-method convHull,SpatialPoints-method |
| Evaluate by distance class | dcEvaluate |
| density | density density,DistModel-method density,ModelEvaluation-method |
| Class "DistModel" | DistModel-class |
| Domain | domain domain,data.frame,missing-method domain,matrix,missing-method domain,Raster,data.frame-method domain,Raster,matrix-method domain,Raster,SpatialPoints-method Domain-class |
| Ecocrop model | ecocrop ECOCROP-class ECOCROPcrop-class ECOcrops getCrop plot,ECOCROP,missing-method plot,ECOCROPcrop,missing-method |
| Ecolim model | ecolim ecolim,matrix,matrix-method EcoLim-class plot,EcoLim,ANY-method predict,EcoLim-method |
| Model evaluation | evaluate |
| Model testing with the ROCR package | evaluateROCR |
| Plot model evaluation data | plot,ModelEvaluation,character-method |
| Data from GBIF | gbif |
| gbm fixed | gbm.fixed |
| gbm holdout | gbm.holdout |
| gbm interactions | gbm.interactions |
| gbm perspective plot | gbm.perspec |
| gbm plot | gbm.plot |
| gbm plot fitted values | gbm.plot.fits |
| gbm simplify | gbm.simplify |
| gbm step | gbm.step |
| Georeferencing with Google | geocode |
| Geographic distance model | geoDist geoDist,data.frame-method geoDist,matrix-method geoDist,SpatialPoints-method GeographicDistance-class |
| Get a Google map | gmap Mercator |
| Stratified regular sample on a grid | gridSample |
| Inverse-distance weighted model | geoIDW geoIDW,data.frame,data.frame-method geoIDW,matrix,matrix-method geoIDW,SpatialPoints,SpatialPoints-method InvDistWeightModel-class |
| k-fold partitioning | kfold |
| Mahalanobis model | mahal mahal,data.frame,missing-method mahal,matrix,missing-method mahal,Raster,data.frame-method mahal,Raster,matrix-method mahal,Raster,SpatialPoints-method Mahalanobis-class |
| Maxent | maxent maxent,data.frame,vector-method maxent,missing,missing-method maxent,Raster,ANY-method maxent,SpatialGridDataFrame,ANY-method MaxEnt-class MaxEntReplicates-class |
| Multivariate environmental similarity surfaces (MESS) | mess |
| Class "ModelEvaluation" | ModelEvaluation-class |
| Niche equivalency | nicheEquivalency |
| Niche overlap | nicheOverlap |
| Pair plots | pairs pairs,DistModel-method |
| Plot predictor values | plot,Bioclim,missing-method plot,CircleHull,missing-method plot,CirclesRange,missing-method plot,ConvexHull,missing-method plot,DistModel,numeric-method plot,MaxEnt,missing-method plot,RectangularHull,missing-method plot,VoronoiHull,missing-method points,DistModel-method |
| point values | pointValues |
| Distribution model predictions | predict predict,Bioclim-method predict,CircleHull-method predict,CirclesRange-method predict,ConvexHull-method predict,Domain-method predict,GeographicDistance-method predict,InvDistWeightModel-method predict,Mahalanobis-method predict,MaxEnt-method predict,MaxEntReplicates-method predict,RectangularHull-method predict,VoronoiHull-method |
| Prepare data for model fitting | prepareData |
| Pair-wise distance sampling | pwdSample |
| Random null model | nullRandom |
| Random points | randomPoints |
| Rectangular hull model | RectangularHull-class rectHull rectHull,data.frame-method rectHull,matrix-method rectHull,SpatialPoints-method |
| response plots | response response,ANY-method response,DistModel-method response,MaxEntReplicates-method |
| Spatial sorting bias | ssb |
| Find a threshold | threshold threshold,ModelEvaluation-method |
| Voronoi polygons | voronoi voronoi,ANY-method |
| Voronoi hull model | voronoiHull voronoiHull,data.frame,data.frame-method voronoiHull,matrix,matrix-method voronoiHull,SpatialPoints,SpatialPoints-method VoronoiHull-class |
