Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

Random forest and similar Machine Learning techniques are already used to generate spatial predictions, but spatial location of points (geography) is often ignored in the modeling process. Spatial auto-correlation, especially if still existent in the cross-validation residuals, indicates that the pr...

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Detalles Bibliográficos
Autores principales: Hengl, Tomislav, Nussbaum, Madlene, Wright, Marvin N., Heuvelink, Gerard B.M., Gräler, Benedikt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Biogeography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119462/
https://www.ncbi.nlm.nih.gov/pubmed/30186691
http://dx.doi.org/10.7717/peerj.5518

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119462/
https://www.ncbi.nlm.nih.gov/pubmed/30186691
http://dx.doi.org/10.7717/peerj.5518

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