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 <doi:10.1890/10-1171.1>; Warren et al.,
2014 <doi:10.1111/ddi.12160>). 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
<doi:10.1109/TAC.1974.1100705>), and by the area under the receiver
operating characteristic (AUC) (Fielding and Bell, 1997
<doi:10.1017/S0376892997000088>). Users of this package should be
familiar with Maxent niche modelling.
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