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Integrated Geospatial Machine Learning Frameworks for Forest Fire Risk Prediction: A Data-Driven Approach Using Random Forest and Non-Linear Feature Transformation in Anhui Province
Forest fire susceptibility mapping is an important component of disaster risk reduction, particularly in transitional climatic zones such as Anhui Province, China. Traditional approaches often rely on expert weighting (AHP) or linear assumptions, which may be insufficient for capturing the complex, non-linear interacti...