dismo v0.5-10

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Species distribution modeling

Functions for species distribution modeling, that is, predicting entire geographic distributions form occurences at specific sites.

Functions in dismo

Name Description
gbif Data from GBIF
density density
biovars bioclimatic variables
Convex Hull Convex hull model
bioclim Bioclim
Geographic Distance Geographic distance model
boxplot Box plot of model evaluation data
ecocrop Ecocrop model
gbm.fixed gbm fixed
kfold k-fold partitioning
evaluate Model testing
randomPoints Random points
gbm.perspec gbm perspective plot
gbm.step gbm step
gbm.holdout gbm holdout
InvDistW Inverse-distance weighted model
calc.deviance Calculate deviance
geocode Georeferencing with Google
gbm.plot gbm plot
predict Distribution model predictions
domain Domain
evaluateROCR Model testing with the ROCR package
mahal Mahalanobis model
Anguilla data Anguilla australis distribution data
maxent Maxent
dismo-package Species distribution modeling
gbm.simplify gbm simplify
gridSample Stratified regular sample on a grid
plot Plot predictor values
Voronoi Hull Voronoi hull model
Circles Circles range
shapefile read a shapefile
pointValues point values
pairs Pair plots
acaule Solanum acaule data
evaluation plots Plot model evaluation data
gmap Get a Google map
gbm.plot.fits gbm plot fitted values
prepareData Prepare data for model fitting
movingFun Moving functions
biogeomancer Georeferencing
gbm.interactions gbm interactions
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Details

Type Package
Date 24-November-2010
License GPL (>= 3)
LazyLoad yes
Repository CRAN
Repository/R-Forge/Project dismo
Repository/R-Forge/Revision 243
Date/Publication 2010-11-27 07:11:20
Packaged 2010-11-25 21:54:27 UTC; rforge

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