建筑模拟(英文版)2026,Vol.19Issue(2):471-489,19.DOI:10.1007/s12273-026-1399-y
Mitigating urban thermal effects by analyzing nonlinear and threshold influences of urban factors using interpretable spatial machine-learning
Mitigating urban thermal effects by analyzing nonlinear and threshold influences of urban factors using interpretable spatial machine-learning
摘要
关键词
nonlinear and threshold effects/interpretable machine learning/diurnal land surface temperatures/multi-source GIS data/sustainable developmentKey words
nonlinear and threshold effects/interpretable machine learning/diurnal land surface temperatures/multi-source GIS data/sustainable development引用本文复制引用
Yonghang Xie,Ali Hashemizadeh,Yutian Lei,Cheng Fan,Hironori Watanabe..Mitigating urban thermal effects by analyzing nonlinear and threshold influences of urban factors using interpretable spatial machine-learning[J].建筑模拟(英文版),2026,19(2):471-489,19.基金项目
The authors gratefully acknowledge the support from the National Natural Science Foundation of China(No.52578137 and No.52278117),Guangdong Basic and Applied Basic Research Foundation(No.2024A1515011549),and Shenzhen Science and Technology Program(No.20240813143330039). (No.52578137 and No.52278117)