Performance of logistic regression and support vector machine conjunction with the GIS and RS in the landslide susceptibility assessment: Case study in Nakhon Si Thammarat, southern Thailand

Performance of logistic regression and support vector machine conjunction with the GIS and RS in the landslide susceptibility assessment: Case study in Nakhon Si Thammarat, southern Thailand

The occurrence of landslides has risen in the past few decades, particularly in mountainous regions worldwide, including Nakhon Si Thammarat, southern Thailand. Despite various methods being employed for the initial management of landslide disasters, none have proven universally effective. The goal...

Full description

Bibliographic Details
Main Authors: Kiattisak Prathom, Chedtaporn Sujitapan
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Journal of King Saud University: Science
Subjects:
Landslide susceptibility maps (LSMs)
Logistic regression
Support vector machine (SVM)
Geographic Information System (GIS)
AUC
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364724002180

Internet

http://www.sciencedirect.com/science/article/pii/S1018364724002180

Similar Items