dismo v1.0-5

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by Robert Hijmans

Species distribution modeling

Functions for species distribution modeling, that is, predicting entire geographic distributions form occurrences at a number of sites.

Functions in dismo

Name Description
gbm.simplify gbm simplify
kfold k-fold partitioning
gbif Data from GBIF
lookup lookup
acaule Solanum acaule data
Convex Hull Convex hull model
ModelEvaluation Class "ModelEvaluation"
pwdSample Pair-wise distance sampling
maxent Maxent
calc.deviance Calculate deviance
threshold Find a threshold
nicheEquivalency Niche equivalency
ecolim Ecolim model
voronoi Voronoi polygons
Evaluation plots Plot model evaluation data
pointValues point values
ssb Spatial sorting bias
evaluate Model evaluation
gbm.step gbm step
Geographic Distance Geographic distance model
mahal Mahalanobis model
density density
gbm.interactions gbm interactions
pairs Pair plots
response response plots
boxplot Box plot of model evaluation data
plot Plot predictor values
dcEvaluate Evaluate by distance class
randomPoints Random points
dismo-package Species distribution modeling
evaluateROCR Model testing with the ROCR package
mess Multivariate environmental similarity surfaces (MESS)
Voronoi Hull Voronoi hull model
geocode Georeferencing with Google
gbm.plot gbm plot
gbm.perspec gbm perspective plot
Circles Circles range
Anguilla data Anguilla australis distribution data
Random null model Random null model
prepareData Prepare data for model fitting
domain Domain
gbm.plot.fits gbm plot fitted values
InvDistW Inverse-distance weighted model
ecocrop Ecocrop model
nicheOverlap Niche overlap
bioclim Bioclim
DistModel Class "DistModel"
gbm.holdout gbm holdout
gbm.fixed gbm fixed
gmap Get a Google map
predict Distribution model predictions
gridSample Stratified regular sample on a grid
biovars bioclimatic variables
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Details

Type Package
Date 2014-9-9
License GPL (>= 3)
LazyLoad yes
Packaged 2014-09-10 05:53:24 UTC; rhijmans
NeedsCompilation yes
Repository CRAN
Date/Publication 2014-09-10 09:33:32

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