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A Forest of Forests: A Spatially Weighted and Computationally Efficient Formulation of Geographical Random Forests

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References

2015Geographical and Temporal Weighted Regression (GTWR)621 cited
2019Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction505 cited

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2025Geographical-XGBoost: a new ensemble model for spatially local regression based on gradient-boosted trees106 cited
2023Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA29 cited
2023The spatiotemporal socio-demography of the Tokyo capital region: a data-driven explorative approach8 cited

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