Predicting vulnerability through hybrid modeling combining GAM and XGBoost - A case of affected population vulnerability to tropical cyclone in Hainan Province

Author:

Meng ChennaORCID,Xu Wei,Qiao YuORCID,Qin Lianjie,Su Peng,Liao Xinli

Publisher

Elsevier BV

Reference44 articles.

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2. Tropical cyclones and climate change assessment: Part II: projected response to anthropogenic warming;Knutson;Bull. Am. Meteorol. Soc.,2020

3. Double benefit of limiting global warming for tropical cyclone exposure;Geiger;Nat. Clim. Change,2021

4. A global historical data set of tropical cyclone exposure (TCE-DAT);Geiger;Earth Syst. Sci. Data,2018

5. Tropical cyclone risk assessment for China at the provincial level based on clustering analysis;Cai;Geomatics, Nat. Hazards Risk,2020

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