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Updated: May 23, 2025

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城市形状和表面温度之间的关系基于XGBoost SHAP可解释的机器学习模型

Jie Tan1, Qian-Jun Wei1, Zhao-Yang Liao1

  • 1College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China.

Ying yong sheng tai xue bao = The journal of applied ecology
|May 17, 2025
PubMed
概括

城市形态显著影响土地表面温度 (LST). 建筑密度和夜间照明增加了LST,而植被和开放空间减少了它,为城市热管理提供了洞察力.

关键词:
在XGBoost-SHAP模型中.可以解释的机器学习城市2D/3D形式城市热岛效应是一种效应.

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