dismo v1.1-1
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Species Distribution Modeling
Functions for species distribution modeling, that is, predicting entire geographic distributions form occurrences at a number of sites and the environment at these sites.
Functions in dismo
| Name | Description | |
| acaule | Solanum acaule data | |
| density | density | |
| CirclesRange | Circles range | |
| dismo-package | Species distribution modeling | |
| calc.deviance | Calculate deviance | |
| boxplot | Box plot of model evaluation data | |
| biovars | bioclimatic variables | |
| Convex Hull | Convex hull model | |
| bioclim | Bioclim | |
| dcEvaluate | Evaluate by distance class | |
| Anguilla data | Anguilla australis distribution data | |
| ecocrop | Ecocrop model | |
| domain | Domain | |
| ecolim | Ecolim model | |
| evaluateROCR | Model testing with the ROCR package | |
| gbm.fixed | gbm fixed | |
| gbm.holdout | gbm holdout | |
| DistModel | Class "DistModel" | |
| gbif | Data from GBIF | |
| evaluate | Model evaluation | |
| gbm.plot.fits | gbm plot fitted values | |
| gbm.perspec | gbm perspective plot | |
| gbm.interactions | gbm interactions | |
| gmap | Get a Google map | |
| gbm.step | gbm step | |
| Geographic Distance | Geographic distance model | |
| gbm.simplify | gbm simplify | |
| InvDistW | Inverse-distance weighted model | |
| gbm.plot | gbm plot | |
| geocode | Georeferencing with Google | |
| mahal | Mahalanobis model | |
| pairs | Pair plots | |
| Random null model | Random null model | |
| gridSample | Stratified regular sample on a grid | |
| kfold | k-fold partitioning | |
| mess | Multivariate environmental similarity surfaces (MESS) | |
| ModelEvaluation | Class "ModelEvaluation" | |
| nicheEquivalency | Niche equivalency | |
| nicheOverlap | Niche overlap | |
| maxent | Maxent | |
| plot | Plot predictor values | |
| randomPoints | Random points | |
| prepareData | Prepare data for model fitting | |
| Evaluation plots | Plot model evaluation data | |
| pointValues | point values | |
| response | response plots | |
| ssb | Spatial sorting bias | |
| Rectangular Hull | Rectangular hull model | |
| predict | Distribution model predictions | |
| pwdSample | Pair-wise distance sampling | |
| voronoi | Voronoi polygons | |
| threshold | Find a threshold | |
| Voronoi Hull | Voronoi hull model | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2016-6-15 |
| License | GPL (>= 3) |
| LazyLoad | yes |
| NeedsCompilation | yes |
| Packaged | 2016-06-15 20:02:45 UTC; rhijmans |
| Repository | CRAN |
| Date/Publication | 2016-06-16 05:28:23 |
| suggests | deldir , gbm (>= 2.1.1) , gstat , jsonlite , kernlab , maptools , randomForest , rgdal , rgeos , rJava (>= 0.5-0) , ROCR , XML |
| depends | methods , R (>= 2.13.0) , raster (>= 2.3-40) , sp (>= 1.0-13) |
| Contributors | Robert Hijmans, Steven Phillips, John Leathwick, Jane Elith |
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