The paper introduces R algorithms that use data-driven, varying-size buffers to adaptively delimit background regions for SDM/ENM, with the aim of addressing spatially uneven sampling / survey bias: https://journals.ku.edu/jbi/article/view/25045 #Rstats #GISChat #GIS #biogeography #macroecology
journals.ku.eduSpatially adaptive background delimitation strategies for species distribution models with unevenly surveyed occurrences
| Biodiversity Informatics
