Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data

Statistical approaches for inferring the spatial distribution of taxa (Species Distribution Models, SDMs) commonly rely on available occurrence data, which is often clumped and geographically restricted. Although available SDM methods address some of these factors, they could be more directly and ac...

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Detalles Bibliográficos
Autores principales: Redding, David W., Lucas, Tim C. D., Blackburn, Tim M., Jones, Kate E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708625/
https://www.ncbi.nlm.nih.gov/pubmed/29190296
http://dx.doi.org/10.1371/journal.pone.0187602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708625/
https://www.ncbi.nlm.nih.gov/pubmed/29190296
http://dx.doi.org/10.1371/journal.pone.0187602

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