dismo v1.3-3
0
Monthly downloads
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.
Functions in dismo
| Name | Description | |
| CirclesRange | Circles range | |
| bioclim | Bioclim | |
| calc.deviance | Calculate deviance | |
| acaule | Solanum acaule data | |
| circleHull | Circle hull model | |
| DistModel | Class "DistModel" | |
| biovars | bioclimatic variables | |
| ModelEvaluation | Class "ModelEvaluation" | |
| boxplot | Box plot of model evaluation data | |
| ecocrop | Ecocrop model | |
| density | density | |
| dcEvaluate | Evaluate by distance class | |
| mahal | Mahalanobis model | |
| ecolim | Ecolim model | |
| maxent | Maxent | |
| evaluate | Model evaluation | |
| gbif | Data from GBIF | |
| rectHull | Rectangular hull model | |
| response | response plots | |
| Convex Hull | Convex hull model | |
| evaluateROCR | Model testing with the ROCR package | |
| Geographic Distance | Geographic distance model | |
| domain | Domain | |
| ssb | Spatial sorting bias | |
| dismo-package | Species distribution modeling | |
| Anguilla data | Anguilla australis distribution data | |
| threshold | Find a threshold | |
| InvDistW | Inverse-distance weighted model | |
| gbm.fixed | gbm fixed | |
| gbm.simplify | gbm simplify | |
| gbm.step | gbm step | |
| geocode | Georeferencing with Google | |
| gmap | Get a Google map | |
| pairs | Pair plots | |
| pwdSample | Pair-wise distance sampling | |
| gbm.holdout | gbm holdout | |
| gridSample | Stratified regular sample on a grid | |
| plot | Plot predictor values | |
| randomPoints | Random points | |
| gbm.plot.fits | gbm plot fitted values | |
| gbm.plot | gbm plot | |
| kfold | k-fold partitioning | |
| mess | Multivariate environmental similarity surfaces (MESS) | |
| gbm.interactions | gbm interactions | |
| nicheEquivalency | Niche equivalency | |
| gbm.perspec | gbm perspective plot | |
| Evaluation plots | Plot model evaluation data | |
| nicheOverlap | Niche overlap | |
| pointValues | point values | |
| predict | Distribution model predictions | |
| Random null model | Random null model | |
| prepareData | Prepare data for model fitting | |
| voronoi | Voronoi polygons | |
| Voronoi Hull | Voronoi hull model | |
| No Results! | ||
Vignettes of dismo
| Name | ||
| brt.Rnw | ||
| sdm.Rnw | ||
| No Results! | ||
Last month downloads
Details
| Type | Package |
| Date | 2020-11-16 |
| LinkingTo | Rcpp |
| SystemRequirements | Java (>= 8) |
| License | GPL (>= 3) |
| LazyLoad | yes |
| URL | https://rspatial.org/raster/sdm/ |
| BugReports | https://github.com/rspatial/dismo/issues/ |
| NeedsCompilation | yes |
| Packaged | 2020-11-16 19:09:32 UTC; rhijm |
| Repository | CRAN |
| Date/Publication | 2020-11-17 08:30:08 UTC |
| suggests | deldir , gbm (>= 2.1.1) , gstat , jsonlite , kernlab , maptools , randomForest , rgdal , rgeos , rJava (>= 0.9-7) , ROCR , terra , XML |
| imports | methods , Rcpp |
| depends | R (>= 3.2.0) , raster (>= 2.5-2) , sp (>= 1.2-0) |
| Contributors | Robert Hijmans, Steven Phillips, John Leathwick, Jane Elith |
Include our badge in your README
[](http://www.rdocumentation.org/packages/dismo)