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dismo (version 1.0-15)
Species Distribution Modeling
Description
Functions for species distribution modeling, that is, predicting entire geographic distributions form occurrences at a number of sites.
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Install
install.packages('dismo')
Monthly Downloads
9,181
Version
1.0-15
License
GPL (>= 3)
Maintainer
Robert Hijmans
Last Published
January 11th, 2016
Functions in dismo (1.0-15)
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Geographic Distance
Geographic distance model
gridSample
Stratified regular sample on a grid
dismo-package
Species distribution modeling
maxent
Maxent
Evaluation plots
Plot model evaluation data
response
response plots
nicheOverlap
Niche overlap
voronoi
Voronoi polygons
evaluateROCR
Model testing with the ROCR package
biovars
bioclimatic variables
density
density
Voronoi Hull
Voronoi hull model
gbm.simplify
gbm simplify
boxplot
Box plot of model evaluation data
pointValues
point values
gbm.fixed
gbm fixed
pwdSample
Pair-wise distance sampling
Random null model
Random null model
evaluate
Model evaluation
Convex Hull
Convex hull model
Anguilla data
Anguilla australis distribution data
prepareData
Prepare data for model fitting
domain
Domain
gbm.plot.fits
gbm plot fitted values
threshold
Find a threshold
ecocrop
Ecocrop model
gbm.interactions
gbm interactions
ModelEvaluation
Class "ModelEvaluation"
gbif
Data from GBIF
pairs
Pair plots
gbm.plot
gbm plot
gbm.step
gbm step
plot
Plot predictor values
predict
Distribution model predictions
acaule
Solanum acaule data
InvDistW
Inverse-distance weighted model
ecolim
Ecolim model
ssb
Spatial sorting bias
DistModel
Class "DistModel"
mahal
Mahalanobis model
dcEvaluate
Evaluate by distance class
calc.deviance
Calculate deviance
gbm.perspec
gbm perspective plot
kfold
k-fold partitioning
Circles
Circles range
gmap
Get a Google map
geocode
Georeferencing with Google
randomPoints
Random points
nicheEquivalency
Niche equivalency
mess
Multivariate environmental similarity surfaces (MESS)
bioclim
Bioclim
gbm.holdout
gbm holdout