Southern California Basin and Non-Basin Classification Algorithm for Ground Motion Site Amplification Model Applications

This project presents a model and dataset that complements the study carried out to propose a statistical classification model that determines the probability of a location residing within or outside a basin based on simple geologic features such as ground surface texture.

本项目提出了一个模型及对应的数据集，用于补充已开展的一项研究——该研究旨在构建一种统计分类模型，可基于地表纹理等简单地质特征，确定某位置位于盆地内部或外部的概率。