Data quantity is more important than its spatial bias for predictive species distribution modelling

Biological records are often the data of choice for training predictive species distribution models (SDMs), but spatial sampling bias is pervasive in biological records data at multiple spatial scales and is thought to impair the performance of SDMs. We simulated presences and absences of virtual sp...

Descripción completa

Detalles Bibliográficos
Autores principales: Gaul, Willson, Sadykova, Dinara, White, Hannah J., Leon-Sanchez, Lupe, Caplat, Paul, Emmerson, Mark C., Yearsley, Jon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Biogeography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703440/
https://www.ncbi.nlm.nih.gov/pubmed/33312769
http://dx.doi.org/10.7717/peerj.10411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703440/
https://www.ncbi.nlm.nih.gov/pubmed/33312769
http://dx.doi.org/10.7717/peerj.10411

Ejemplares similares