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.
- Version1.0-3
- R version≥ 3.1.2
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- MaxentVariableSelection citation info
- Last release01/23/2018
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Alexander Jueterbock
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