A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS-Reference-Cited by-同舟云学术

A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS

Published:2016-11-21 Issue:2 Volume:8 Page:649-671
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Pham Binh Thai¹²^ORCID,Bui Dieu Tien³^ORCID,Dholakia M.B.⁴,Prakash Indra⁵,Pham Ha Viet⁶,Mehmood Khalid⁵,Le Hung Quoc⁶

Affiliation:

1. Department of Civil Engineering, Gujarat Technological University, Ahmedabad , Gujarat, India

2. Department of Geotechnical Engineering, University of Transport Technology, Thanh Xuan, Ha Noi, Viet Nam

3. Geographic Information System Group, Department of Business Administration and Computer Science, University College of Southeast Norway, Bø i Telemark, Norway

4. Department of Civil Engineering, LDCE, Gujarat Technological University, Ahmedabad, Gujarat, India

5. Department of Science & Technology, Bhaskarcharya Institute for Space Applications and Geo-Informatics (BISAG), Government of Gujarat, Gandhinagar, India

6. Vietnam Institute of Geosciences and Mineral Resources, Thanh Xuan, Hanoi, Vietnam

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2016.1255667

Reference94 articles.

1. Estimation of rainfall-induced landslides using ANN and fuzzy clustering methods: A case study in Saeen Slope, Azerbaijan province, Iran

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

3. Bagging predictors

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