Interpretable AutoML and Double Machine Learning for Landslide Susceptibility Assessment in Tongren, Qinghai–Tibet Plateau
Landslide susceptibility assessment in cold, high-altitude regions is complicated by interactions among topographic, lithological, hydrological, and anthropogenic factors. Machine learning methods are widely used, but model selection, spatially independent evaluation, and interpretation of covariate-adjusted associatio...