MaxentVariableSelection: Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling

Complex niche models show low performance in identifying the most important range-limiting environmental variables and in transferring habitat suitability to novel environmental conditions (Warren and Seifert, 2011; Warren et al., 2014). This package helps to identify the most important set of uncorrelated variables and to fine-tune Maxent's regularization multiplier. In combination, this allows to constrain complexity and increase performance of Maxent niche models (assessed by information criteria, such as AICc (Akaike, 1974) , and by the area under the receiver operating characteristic (AUC) (Fielding and Bell, 1997). Users of this package should be familiar with Maxent niche modelling.

Install the latest version of this package by entering the following in R:
install.packages("MaxentVariableSelection")
AuthorAlexander Jueterbock
Date of publication2016-04-02 23:31:35
Maintainer"Alexander Jueterbock" <Alexander-Jueterbock@web.de>
LicenseGPL (>= 2)
Version1.0-2

View on CRAN

Files

inst
inst/CITATION
inst/extdata
inst/extdata/Backgrounddata.csv
inst/extdata/Occurrencedata.csv
inst/doc
inst/doc/MaxentVariableSelection.R
inst/doc/MaxentVariableSelection.pdf
inst/doc/MaxentVariableSelection.Rmd
NAMESPACE
NEWS.md
R
R/ModelSelectionVisualization.r R/MaxentAUC.r R/ModelWithBestPerformance.r R/Subsetselection.R R/VariableSelection.r R/ExtractVariables.r R/Correlations.R R/MaxentIC.r R/Maxentrun.R
vignettes
vignettes/MaxentVariableSelection.Rmd
vignettes/MaxentVariableSelection.html
vignettes/ModelSelectionAUCTest_MarkedMaxAUCTest.png
vignettes/VariablesAtOccurrencelocations.csv
vignettes/ModelSelectionAICc_MarkedMinAICc.png
vignettes/auto
vignettes/auto/library.el
vignettes/library.bib
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/Occurrencedata.Rd man/VariableSelection.Rd man/MaxentVariableSelection-package.Rd man/Backgrounddata.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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