© Copyright 2025 – Journal of King Saud University – Science.
Published by Scientific Scholar on behalf of King Saud University.
ISSN (Print): 1018-3647
ISSN (Online): 2213-686X
Full Length Article
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
Year: 2024, Volume: 36, Issue: 8, August
Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
