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Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling
Accurate large-scale wildfire spread modelling requires models that capture both the environmental conditions associated with fire occurrence and the local dynamics of fire propagation. We propose a three-stage framework that combines a Random Forest (RF) model with a cellular automaton (CA). First,
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