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Comparing spatial regression to random forests for large environmental data sets

Environmental data may be “large” due to number of records, number of covariates, or both. Random forests has a reputation for good predictive performance when using many covariates with nonlinear relationships, whereas spatial regression, when using reduced rank methods, has a reputation for good p...

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Detalles Bibliográficos
Autores principales: Fox, Eric W., Ver Hoef, Jay M., Olsen, Anthony R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089425/
https://www.ncbi.nlm.nih.gov/pubmed/32203555
http://dx.doi.org/10.1371/journal.pone.0229509