Introducing Spatial Heterogeneity via Regionalization Methods in Machine Learning Models for Geographical Prediction: A Spatially Conscious Paradigm

This study addresses the challenge of incorporating spatial heterogeneity in predictive modeling by introducing regionalization methods in the preprocessing step of the modeling workflow. Spatial heterogeneity, where the mean of attribute values varies across spatial units, poses difficulties for t...

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Bibliographic Details
Main Authors: Lukas Boegl, Ourania Kounadi
Format: Article
Language:English
Published: European Association of Geographers 2024-10-01
Series:European Journal of Geography
Subjects:
Online Access:https://www.eurogeojournal.eu/index.php/egj/article/view/667
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