Spatial prediction of shallow landslide: application of novel rotational forest-based reduced error pruning tree

Author:

Arabameri Alireza1,Santosh M.234,Saha Sunil5,Ghorbanzadeh Omid6ORCID,Roy Jagabandhu5,Tiefenbacher John P.7,Moayedi Hossein89,Costache Romulus1011

Affiliation:

1. Department of Literature and Humanities, Tarbiat Modares University, Tehran, Iran

2. Department of Earth Sciences, University of Adelaide, Adelaide, South Australia, Australia

3. School of Earth Sciences and Resources, China University of Geosciences, Beijing, Beijing, China

4. State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, China

5. Department of Geography, University of Gour Banga, Malda, West Bengal, India

6. Department of Geoinformatics – Z_GIS, University of Salzburg, Salzburg, Austria

7. Department of Geography, Texas State University, San Marcos, TX, USA

8. Informetrics Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam

9. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

10. National Institute of Hydrology and Water Management, Bucharest, Romania

11. Research Institute of the University of Bucharest, Bucharest, Romania

Funder

the Austrian Science Fund (FWF) through the Doctoral College GIScience

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

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