Pseudoabsence Generation Strategies for Species Distribution Models

Brice B Hanberry, Hong S He and Brian J Palik

PLOS ONE, 2012, vol. 7, issue 8, 1-12

Abstract: Background: Species distribution models require selection of species, study extent and spatial unit, statistical methods, variables, and assessment metrics. If absence data are not available, another important consideration is pseudoabsence generation. Different strategies for pseudoabsence generation can produce varying spatial representation of species. Methodology: We considered model outcomes from four different strategies for generating pseudoabsences. We generating pseudoabsences randomly by 1) selection from the entire study extent, 2) a two-step process of selection first from the entire study extent, followed by selection for pseudoabsences from areas with predicted probability

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0044486

DOI: 10.1371/journal.pone.0044486

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