Target-group backgrounds prove effective at correcting sampling bias in Maxent models
Target-group backgrounds prove effective at correcting sampling bias in Maxent models
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Publisher
Oxford: Wiley
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Language
English
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Publisher
Oxford: Wiley
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Contents
Aim
Accounting for sampling bias is the greatest challenge facing presence‐only and presence‐background species distribution models; no matter what type of model is chosen, using biased data will mask the true relationship between occurrences and environmental predictors. To address this issue, we review four established bias correction techniqu...
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Full title
Target-group backgrounds prove effective at correcting sampling bias in Maxent models
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TN_cdi_proquest_miscellaneous_2636461888
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2636461888
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ISSN
1366-9516
E-ISSN
1472-4642
DOI
10.1111/ddi.13442
