Bunching up the background betters bias in species distribution models
Abstract
Sets of presence records used to model species’ distributions typically consist of observations collected opportunistically rather than systematically. As a result, sampling probability is geographically uneven, which may confound the model's characterization of the species’ distribution. Modelers frequently address sampling bias by manipulating training data: either subsampling presence data or creating a similar spatial bias in non‐presence...
Paper Details
Title
Bunching up the background betters bias in species distribution models
Published Date
Jul 11, 2019
Journal
Volume
42
Issue
10
Pages
1717 - 1727
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