Cargando…
On the selection of thresholds for predicting species occurrence with presence‐only data
Presence‐only data present challenges for selecting thresholds to transform species distribution modeling results into binary outputs. In this article, we compare two recently published threshold selection methods (maxSSS and maxF (pb)) and examine the effectiveness of the threshold‐based prevalence...
Autores principales: | Liu, Canran, Newell, Graeme, White, Matt |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716501/ https://www.ncbi.nlm.nih.gov/pubmed/26811797 http://dx.doi.org/10.1002/ece3.1878 |
Ejemplares similares
-
Identifying wildlife corridors for the restoration of regional habitat connectivity: A multispecies approach and comparison of resistance surfaces
por: Liu, Canran, et al.
Publicado: (2018) -
Predicting the spatial expansion of an animal population with presence‐only data
por: Barton, Owain, et al.
Publicado: (2023) -
Nondetection sampling bias in marked presence-only data
por: Hefley, Trevor J, et al.
Publicado: (2013) -
Using presence-only and presence–absence data to estimate the current and potential distributions of established invasive species
por: Gormley, Andrew M, et al.
Publicado: (2011) -
Species Distribution Modelling: Contrasting presence-only models with plot abundance data
por: Gomes, Vitor H. F., et al.
Publicado: (2018)