English(EN) Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

可解释的机器学习揭示城市形态对热应力的影响，超越地表温度

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-24 10:48

研究人员开发了一个新框架，用于分析地表温度（LST）与以人为本的热应力指标（如通用热气候指数（UTCI））之间的差异。该研究使用地理加权XGBoost和广义相加模型等机器学习模型，揭示了城市形态对这些热量测量值影响的显著空间差异。研究结果表明，LST不能充分代表实际的人类热应力，尤其是在天空视野和反照率等对有效城市规划和热风险管理至关重要的因素方面。 AI

影响提供了一种更准确的评估城市热应力的方法，为气候适应性规划和热风险管理提供信息。

排序理由学术论文，详细介绍了用于城市热应力分析的空间机器学习的新方法和研究结果。

在 arXiv cs.LG 阅读 →

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报道来源 [2]

arXiv cs.LG TIER_1 English(EN) · Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs · 2026-04-27 04:00

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

arXiv:2604.22433v1 Announce Type: new Abstract: Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Understanding the spatial heterogeneity of heat exposure and its drivers is vital for climate-adaptiv…
arXiv cs.LG TIER_1 English(EN) · Rudi Stouffs · 2026-04-24 10:48

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Understanding the spatial heterogeneity of heat exposure and its drivers is vital for climate-adaptive urban planning. However, most planning-oriente…

报道来源 [2]

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

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