Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model

Author:

Zhang Junyi,Ma Xianglong,Zhang JialanORCID,Sun Deliang,Zhou Xinzhi,Mi Changlin,Wen HaijiaORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference39 articles.

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3. Ba, Q., Chen, Y., Deng, S., Yang, J., Li, H., 2018. A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment. Earth Science Informatics 11, 3,373-388.

4. Bergstra, J., Bardenet, R., Kégl, B., Bengio, Y., 2011. Algorithms for hyper-parameter optimization. Adv. Neural Inf. Process. Syst.24 (NIPS 2011).

5. A systematic review of landslide probability mapping using logistic regression;Budimir;Landslides,2015

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