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Typhoon impacts in the Philippines exhibit strong neighbour hood-scale heterogeneity driven by interactions among haz ard intensity, exposure, and vulnerability, yet most opera tional assessments remain hazard-centric. This study presents a grid-based machine-learning framework for neighbour hood-scale typhoon risk mapping integrating geophysical...

Typhoon impacts in the Philippines exhibit strong neighbourhood-scale heterogeneity driven by interactions among hazard intensity, exposure, and vulnerability, yet most operational assessments remain hazard-centric. This study presents a grid-based machine-learning framework for neighbourhood-scale typhoon risk mapping integrating geophysical...