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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2018
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| Materias: | |
| 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 |