A novel technology for unraveling the spatial risk of Natech disasters based on machine learning and GIS: a case study from the city of Changzhou, China
Author:
Funder
Postgraduate Research & Practice Innovation Program of Jiangsu Province
the key research and development program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12145-024-01484-3.pdf
Reference56 articles.
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5. Aydin HE, Iban MC (2023) Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with Shapley Additive explanations. Nat Hazards 116(3):2957–2991
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