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dismo (version 1.1-4)

Species Distribution Modeling

Description

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

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Version

Install

install.packages('dismo')

Monthly Downloads

12,071

Version

1.1-4

License

GPL (>= 3)

Maintainer

Robert Hijmans

Last Published

January 9th, 2017

Functions in dismo (1.1-4)

Convex Hull

Convex hull model
acaule

Solanum acaule data
circleHull

Circle hull model
boxplot

Box plot of model evaluation data
density

density
dcEvaluate

Evaluate by distance class
biovars

bioclimatic variables
CirclesRange

Circles range
bioclim

Bioclim
calc.deviance

Calculate deviance
Anguilla data

Anguilla australis distribution data
gbm.fixed

gbm fixed
ecocrop

Ecocrop model
domain

Domain
DistModel

Class "DistModel"
dismo-package

Species distribution modeling
ecolim

Ecolim model
evaluate

Model evaluation
gbif

Data from GBIF
evaluateROCR

Model testing with the ROCR package
gbm.perspec

gbm perspective plot
gbm.plot.fits

gbm plot fitted values
maxent

Maxent
mess

Multivariate environmental similarity surfaces (MESS)
pairs

Pair plots
gbm.holdout

gbm holdout
plot

Plot predictor values
gbm.interactions

gbm interactions
randomPoints

Random points
pwdSample

Pair-wise distance sampling
voronoi

Voronoi polygons
Geographic Distance

Geographic distance model
Voronoi Hull

Voronoi hull model
nicheOverlap

Niche overlap
Random null model

Random null model
InvDistW

Inverse-distance weighted model
rectHull

Rectangular hull model
response

response plots
gmap

Get a Google map
gridSample

Stratified regular sample on a grid
predict

Distribution model predictions
gbm.plot

gbm plot
prepareData

Prepare data for model fitting
gbm.simplify

gbm simplify
nicheEquivalency

Niche equivalency
Evaluation plots

Plot model evaluation data
ModelEvaluation

Class "ModelEvaluation"
pointValues

point values
geocode

Georeferencing with Google
gbm.step

gbm step
kfold

k-fold partitioning
mahal

Mahalanobis model
ssb

Spatial sorting bias
threshold

Find a threshold