MaxentVariableSelection

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

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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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