- Record: found
- Abstract: not found
- Article: not found
A comparative study of the bivariate, multivariate and machine-learning-based statistical models for landslide susceptibility mapping in a seismic-prone region in China
Read this article at
ScienceOpenPublisher
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Most cited references31
- Record: found
- Abstract: not found
- Article: not found
A review of statistically-based landslide susceptibility models
Mauro Rossi, Bruce Malamud, Fausto Guzzetti … (2018)
- Record: found
- Abstract: not found
- Article: not found
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Dieu Tien Bui, Khabat Khosravi, Binh Thai Pham … (2018)
- Record: found
- Abstract: not found
- Article: not found
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
Biswajeet Pradhan, Noordin Ahmad, Shattri Mansor … (2015)