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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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Version

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)

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