A Spatiotemporal Wildfire Risk Prediction Framework Integrating Density-Based Clustering and GTWR-RFR
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DOI: 10.3390/f16111632
Abstract: Accurate wildfire prediction and identification of key environmental drivers are critical for effective wildfire management. We propose a spatiotemporally adaptive framework integrating ST-DBSCAN clustering with GTWR-RFR. In this hybrid model, Random Forest captures local nonlinear… read more here.
Keywords: framework integrating; risk; gtwr rfr; clustering gtwr ... See more keywords