Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide susceptibility maps that can be used by land-use manage...

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Detalles Bibliográficos
Autores principales: Nhu, Viet-Ha, Shirzadi, Ataollah, Shahabi, Himan, Singh, Sushant K., Al-Ansari, Nadhir, Clague, John J., Jaafari, Abolfazl, Chen, Wei, Miraki, Shaghayegh, Dou, Jie, Luu, Chinh, Górski, Krzysztof, Thai Pham, Binh, Nguyen, Huu Duy, Ahmad, Baharin Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215797/
https://www.ncbi.nlm.nih.gov/pubmed/32316191
http://dx.doi.org/10.3390/ijerph17082749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215797/
https://www.ncbi.nlm.nih.gov/pubmed/32316191
http://dx.doi.org/10.3390/ijerph17082749

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