Using landslide-inventory mapping for a combined bagged-1 trees and logistic-regression approach to determining landslide susceptibility in eastern Kentucky, United States

The statistical data used in the combined machine-learning functions are available here as csv files. This includes all geomorphic data at the determined radial buffer size (36 variables), the results of the bagged trees function (12 variables), and the bagged trees resulting feature importance data.

本数据集所采用的统计数据包含在以下csv文件中。其中涵盖了所有以确定径向缓冲区大小（共计36个变量）所获取的地理形态数据，以及由袋装树函数产生的结果（共计12个变量），以及由此产生的袋装树特征重要性数据。