dismo v0.5-14

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

Type Package
Date 14-January-2011
License GPL (>= 3)
LazyLoad yes
Repository CRAN
Repository/R-Forge/Project dismo
Repository/R-Forge/Revision 256
Date/Publication 2011-01-20 13:07:38
Packaged 2011-01-18 21:55:17 UTC; rforge

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