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dismo (version 1.0-5)
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
9,706
Version
1.0-5
License
GPL (>= 3)
Maintainer
Robert Hijmans
Last Published
September 10th, 2014
Functions in dismo (1.0-5)
Search functions
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