Computationally efficient joint species distribution modeling of big spatial data

The ongoing global change and the increased interest in macroecological processes call for the analysis of spatially extensive data on species communities to understand and forecast distributional changes of biodiversity. Recently developed joint species distribution models can deal with numerous sp...

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Detalles Bibliográficos
Autores principales: Tikhonov, Gleb, Duan, Li, Abrego, Nerea, Newell, Graeme, White, Matt, Dunson, David, Ovaskainen, Otso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Statistical Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027487/
https://www.ncbi.nlm.nih.gov/pubmed/31725922
http://dx.doi.org/10.1002/ecy.2929

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027487/
https://www.ncbi.nlm.nih.gov/pubmed/31725922
http://dx.doi.org/10.1002/ecy.2929

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