Rainfall-induced landslide susceptibility mapping using machine learning algorithms and comparison of their performance in Hilly area of Fujian Province, China
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DOI: 10.1007/s11069-022-05332-9
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- Azizi, Vahid & Hu, Guiping, 2020. "Multi-product pickup and delivery supply chain design with location-routing and direct shipment," International Journal of Production Economics, Elsevier, vol. 226(C).
- L. Lombardo & M. Cama & C. Conoscenti & M. Märker & E. Rotigliano, 2015. "Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messi," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1621-1648, December.
- Binh Thai Pham & Tran Van Phong & Mohammadtaghi Avand & Nadhir Al-Ansari & Sushant K. Singh & Hiep Van Le & Indra Prakash, 2020. "Improving Voting Feature Intervals for Spatial Prediction of Landslides," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-15, October.
- Wang, Zhe & Hong, Tianzhen & Piette, Mary Ann, 2020. "Building thermal load prediction through shallow machine learning and deep learning," Applied Energy, Elsevier, vol. 263(C).
- Krishna Devkota & Amar Regmi & Hamid Pourghasemi & Kohki Yoshida & Biswajeet Pradhan & In Ryu & Megh Dhital & Omar Althuwaynee, 2013. "Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 135-165, January.
- Juan Cao & Zhao Zhang & Jie Du & Liangliang Zhang & Yun Song & Geng Sun, 2020. "Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 851-871, July.
- C. Irigaray & T. Fernández & R. El Hamdouni & J. Chacón, 2007. "Evaluation and validation of landslide-susceptibility maps obtained by a GIS matrix method: examples from the Betic Cordillera (southern Spain)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(1), pages 61-79, April.
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Keywords
CatBoost; LightGBM; Multicollinearity; Landslide susceptibility;All these keywords.
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