Data from: Reliable species distributions are obtainable with sparse, patchy and biased data by leveraging over species and data types

Samantha L. Peel, Nicole A. Hill, Scott D. Foster, Simon J. Wotherspoon, Claudio Ghiglione & Stefano Schiaparelli
1. New methods for species distribution models (SDMs) utilise presence‐absence (PA) data to correct the sampling bias of presence‐only (PO) data in a spatial point process setting. These have been shown to improve species estimates when both data sets are large and dense. However, is a PA data set that is smaller and patchier than hitherto examined able to do the same? Furthermore, when both data sets are relatively small, is there enough information contained...
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