A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility-Reference-Cited by-同舟云学术

A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility

Published:2017-04 Issue: Volume:151 Page:147-160
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Chen Wei,Xie Xiaoshen,Wang Jiale,Pradhan Biswajeet,Hong Haoyuan^ORCID,Bui Dieu Tien,Duan Zhao,Ma Jianquan

Funder

Xi'an University of Science and Technology

Geohazard Prevention and Geoenvironment Protection

National Science Foundation of China

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference94 articles.

1. A feature selection technique for classificatory analysis;Ahmad;Pattern Recogn. Lett.,2005

2. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm;Akgun;Comput. Geosci.,2012

3. Landslide hazard assessment: summary review and new perspectives;Aleotti;Bull. Eng. Geol. Environ.,1999

4. The classification and regression tree approach to pump failure rate analysis;Bevilacqua;Reliab. Eng. Syst. Saf.,2003

5. Random forests;Breiman;Mach. Learn.,2001

Cited by 688 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. A novel multi-step ahead prediction method for landslide displacement based on autoregressive integrated moving average and intelligent algorithm;Engineering Applications of Artificial Intelligence;2024-11

2. Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules;GEOSCI FRONT;2024

3. Dust source susceptibility in the lower Mesopotamian floodplain of Iraq;Remote Sensing Applications: Society and Environment;2024-11

4. Machine Learning–Based Systems for Early Warning of Rainfall-Induced Landslide;Natural Hazards Review;2024-11

5. Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules;Geoscience Frontiers;2024-11