Mitigating urban thermal effects by analyzing nonlinear and threshold influences of urban factors using interpretable spatial machine-learningOA
Mitigating urban thermal effects by analyzing nonlinear and threshold influences of urban factors using interpretable spatial machine-learning
Yonghang Xie;Ali Hashemizadeh;Yutian Lei;Cheng Fan;Hironori Watanabe
Sino-Australia Joint Research Center in BIM and Smart Construction,Shenzhen University,Shenzhen,ChinaSino-Australia Joint Research Center in BIM and Smart Construction,Shenzhen University,Shenzhen,ChinaSino-Australia Joint Research Center in BIM and Smart Construction,Shenzhen University,Shenzhen,ChinaState Key Laboratory of Subtropical Building and Urban Science,Shenzhen,China||Key Laboratory of Coastal Urban Resilient Infrastructures(Ministry of Education),College of Civil and Transportation Engineering,Shenzhen University,Shenzhen 518060,China||Sino-Australia Joint Research Center in BIM and Smart Construction,Shenzhen University,Shenzhen,ChinaDepartment of Architecture,Tohoku Institute of Technology,Sendai,Japan
nonlinear and threshold effectsinterpretable machine learningdiurnal land surface temperaturesmulti-source GIS datasustainable development
nonlinear and threshold effectsinterpretable machine learningdiurnal land surface temperaturesmulti-source GIS datasustainable development
《建筑模拟（英文版）》 2026 (2)
471-489,19
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).
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