Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

GIS-based frequency ratio, logistic regression and artificial neural network models for landslide susceptibility analysis in central Shenzhen, South China (HTT14-P03)(poster session)(abs.)

Authors=DI LU, Takashi Oguchi

Journal/Book_names=Abstracts, Japan Geoscience Union Meeting (online)

volume=2020

pages=HTT14-P03

Publish_year=2020

Publisher=Japan Geoscience Union

Language_of_Text=JA, EN

ID=300015220

@id=https://gbank.gsj.jp/ld/resource/geolis/300015220