Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)-Reference-Cited by-同舟云学术

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

Published:2017-12-06 Issue:1 Volume:9 Page:49-69
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Kalantar Bahareh¹,Pradhan Biswajeet¹²^ORCID,Naghibi Seyed Amir³,Motevalli Alireza³,Mansor Shattri¹

Affiliation:

1. Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, Serdang, Malaysia

2. School of Systems, Management and Leadership, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales, Australia

3. Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://tandfonline.com/doi/pdf/10.1080/19475705.2017.1407368

Reference79 articles.

1. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

2. GENERALISED LINEAR MODELLING OF SUSCEPTIBILITY TO LANDSLIDING IN THE CENTRAL APENNINES, ITALY

3. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

4. Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan

5. Influence of sample and terrain unit on landslide susceptibility assessment at La Pobla de Lillet, Eastern Pyrenees, Spain

Cited by 391 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Susceptibility evaluation of highway landslide disasters based on SBAS-InSAR: a case study of S211 highway in Lanping County;Natural Hazards;2024-09-12

2. Assessing the Reliability of Landslides Susceptibility Models with Limited Data: Impact of Geomorphological Diversity and Technique Selection on Model Performance in Taounate Province, Northern Morocco;Earth Systems and Environment;2024-09-11

3. Reconstruction method for a three-demensional discrete element numerical model of landslides using an integrated multi-electrode resistivity tomography method and an unmanned aerial vehicle survey;Journal of Applied Geophysics;2024-09

4. Landslide susceptibility assessment in Addi Arkay, Ethiopia using GIS, remote sensing, and AHP;Quaternary Science Advances;2024-09

5. 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;Journal of King Saud University - Science;2024-09