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Exploring environmental coverages of species: a new variable contribution estimation methodology for rulesets from the genetic algorithm for rule-set prediction

BLACKBURN, YANG – Exploring environmental coverages of species: a new variable contribution estimation methodology for rulesets from the genetic algorithm for rule-set prediction Anni Yang, Juan Pablo Gomez, and Jason K. Blackburn Article first published online: 12 MAY 2020 PeerJ DOI: 10.7717/peerj.8968 ABSTRACT: Variable contribution estimation for, and determination of variable importance within, ecological niche […]

Latest SEER Lab publication introduces novel variable selection method for ecological niche modeling

Ecological niche models (ENMs) are widely used to predict the geographic distribution of species and are applied across taxa. Within the geography department, ENMs have been used to map hosts, vectors, and pathogens for MedGeo studies, species of conservation concern, and invasive species potential. Such models rely on relating non-random patterns of occurrences, locations where […]