UCFLeiHan/Spatial-ML

A novel spatial Machine Learning (ML) framework that integrates multiple ML models—Random Forest, XGBoost, and LightGBM—with geographically weighted regression to account for spatial heterogeneity. The framework has been successfully applied to intersection crash frequency modeling, achieving excellent performance.

语言：Jupyter Notebook · GitHub 星标：9 · Fork：2

话题：machie-learning · spatial-data-analysis · traffic-safety

在 GitHub 上查看原仓库