most citedPyGRF: An improved Python Geographical Random Forest model and case studies in public health and natural disasters

30 citations · 30 across the 1 of their papers we have counts for

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1 paper

cs.CY2024★ 30 cited

PyGRF: An improved Python Geographical Random Forest model and case studies in public health and natural disasters

Kai Sun, Ryan Zhenqi Zhou, Jiyeon Kim +1

Geographical random forest (GRF) is a recently developed and spatially explicit machine learning model. With the ability to provide more accurate predictions and local interpretati…