Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variable...
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
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Publisher
United States: PeerJ, Inc
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Language
English
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Publisher
United States: PeerJ, Inc
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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 predictions are maybe biased, and this is suboptimal...
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Full title
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
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TN_cdi_doaj_primary_oai_doaj_org_article_4bfec830fe31433dbe828a0831e83544
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bfec830fe31433dbe828a0831e83544
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ISSN
2167-8359
E-ISSN
2167-8359
DOI
10.7717/peerj.5518
