50% off | Unlimited Data & AI Learning
Get 50% off unlimited learning

⚠️There's a newer version (1.3-16) of this package.Take me there.

dismo (version 1.3-5)

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.

Copy Link

Version

Install

install.packages('dismo')

Monthly Downloads

10,279

Version

1.3-5

License

GPL (>= 3)

Maintainer

Last Published

October 11th, 2021

Functions in dismo (1.3-5)

acaule

Solanum acaule data
bioclim

Bioclim
calc.deviance

Calculate deviance
circleHull

Circle hull model
gbm.plot

gbm plot
dismo-package

Species distribution modeling
gbm.plot.fits

gbm plot fitted values
domain

Domain
gbm.simplify

gbm simplify
boxplot

Box plot of model evaluation data
biovars

bioclimatic variables
DistModel

Class "DistModel"
gbm.step

gbm step
ecocrop

Ecocrop model
kfold

k-fold partitioning
gridSample

Stratified regular sample on a grid
pwdSample

Pair-wise distance sampling
Anguilla data

Anguilla australis distribution data
gbif

Data from GBIF
evaluateROCR

Model testing with the ROCR package
evaluate

Model evaluation
ModelEvaluation

Class "ModelEvaluation"
response

response plots
rectHull

Rectangular hull model
randomPoints

Random points
geocode

Georeferencing with Google
ecolim

Ecolim model
gmap

Get a Google map
Geographic Distance

Geographic distance model
mess

Multivariate environmental similarity surfaces (MESS)
pairs

Pair plots
InvDistW

Inverse-distance weighted model
plot

Plot predictor values
ssb

Spatial sorting bias
Voronoi Hull

Voronoi hull model
voronoi

Voronoi polygons
threshold

Find a threshold
gbm.fixed

gbm fixed
nicheEquivalency

Niche equivalency
pointValues

point values
gbm.holdout

gbm holdout
CirclesRange

Circles range
Evaluation plots

Plot model evaluation data
Convex Hull

Convex hull model
dcEvaluate

Evaluate by distance class
mahal

Mahalanobis model
density

density
maxent

Maxent
prepareData

Prepare data for model fitting
nicheOverlap

Niche overlap
predict

Distribution model predictions
gbm.perspec

gbm perspective plot
gbm.interactions

gbm interactions
Random null model

Random null model