Database of Environmental Factors–Driven Machine Learning for Global Landslide Susceptibility

This is the relevant data for the paper titled Machine Learning-Driven Global Landslide Susceptibility Assessment Reveals Critical Roles of Environmental Dynamics.The data mainly includes machine learning correlation factors, calculation results, final picture results, and relevant machine learning code. Due to the limitation of the number of files, they are packaged as compressed files for uploading. Below, I will introduce the relevant documents.

Input Dataset – Global Landslide Conditioning Factors.rar:Contains 17 driving factors and global historical landslide events for model training.

Model Outputs – Seasonal Susceptibility & Uncertainty Analysis.rar:Normal/Summer/Winter three sets of prediction results, including 7 model standard deviations and variance analysis files.

Visualization Package – Final Susceptibility Maps & Charts.rar:All final charts and maps drawn based on model results.