Geological Literature
GIS-based frequency ratio, logistic regression and artificial neural network models for landslide and sinkhole susceptibility analysis in central Shenzhen, South China (HTT14-P03)(poster session)(abs.)
DI LU, Takashi Oguchi
| item | description |
|---|---|
| Title | GIS-based frequency ratio, logistic regression and artificial neural network models for landslide and sinkhole susceptibility analysis in central Shenzhen, South China (HTT14-P03)(poster session)(abs.) |
| Authors | DI LU, Takashi Oguchi |
| Data name | Abstracts, Japan Geoscience Union Meeting (online) |
| Volume | 2021 |
| Page | HTT14-P03 |
| Year | 2021 |
| Publisher | Japan Geoscience Union |
| Language | EN |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300020820 |
| Link | |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300020820 |