A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China

In this study, a novel coupling model for landslide susceptibility mapping is presented. In practice, environmental factors may have different impacts at a local scale in study areas. To provide better predictions, a geographically weighted regression (GWR) technique is firstly used in our method to...

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Detalles Bibliográficos
Autores principales: Yu, Xianyu, Wang, Yi, Niu, Ruiqing, Hu, Youjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881112/
https://www.ncbi.nlm.nih.gov/pubmed/27187430
http://dx.doi.org/10.3390/ijerph13050487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881112/
https://www.ncbi.nlm.nih.gov/pubmed/27187430
http://dx.doi.org/10.3390/ijerph13050487

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