Incorporating spatial information in machine learning: The Moran eigenvector spatial filter approach
Incorporating spatial information in machine learning: The Moran eigenvector spatial filter approach
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Publisher
Oxford: Blackwell Publishing Ltd
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Language
English
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Oxford: Blackwell Publishing Ltd
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Contents
Spatial statistical models are highly effective for modeling geospatial data as they consider spatial information of geographic spaces and other non‐spatial covariates, enabling them to minimize spatial autocorrelation by addressing spatial dependence. In contrast, machine learning (ML) models are highly effective for predicting non‐spatial data, b...
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Full title
Incorporating spatial information in machine learning: The Moran eigenvector spatial filter approach
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TN_cdi_proquest_journals_2648465762
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2648465762
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ISSN
1361-1682
E-ISSN
1467-9671
DOI
10.1111/tgis.12894
