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dismo (version 1.3-3)

Species Distribution Modeling

Description

Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.

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Version

Install

install.packages('dismo')

Monthly Downloads

12,778

Version

1.3-3

License

GPL (>= 3)

Maintainer

Robert Hijmans

Last Published

November 17th, 2020

Functions in dismo (1.3-3)

Calculate deviance

Solanum acaule data

Circle hull model

Class "DistModel"

bioclimatic variables

ModelEvaluation

Class "ModelEvaluation"

Box plot of model evaluation data

Evaluate by distance class

Mahalanobis model

Model evaluation

Rectangular hull model

Convex hull model

Model testing with the ROCR package

Geographic Distance

Geographic distance model

Spatial sorting bias

Species distribution modeling

Anguilla australis distribution data

Find a threshold

Inverse-distance weighted model

Georeferencing with Google

Get a Google map

Pair-wise distance sampling

Stratified regular sample on a grid

Plot predictor values

gbm plot fitted values

k-fold partitioning

Multivariate environmental similarity surfaces (MESS)

gbm.interactions

gbm interactions

nicheEquivalency

Niche equivalency

gbm perspective plot

Evaluation plots

Plot model evaluation data

Distribution model predictions

Random null model

Random null model

Prepare data for model fitting

Voronoi polygons

Voronoi hull model