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Explainable ML reveals urban morphology's impact on heat stress beyond LST

Researchers have developed a new framework to analyze the differences between land surface temperature (LST) and human-centric heat stress metrics like the Universal Thermal Climate Index (UTCI). Using machine learning models such as geographically weighted XGBoost and generalized additive models, the study revealed significant spatial variations in how urban morphology impacts these thermal measures. The findings indicate that LST inadequately represents actual human heat stress, particularly concerning factors like sky view and albedo, which are crucial for effective urban planning and heat risk management. AI

IMPACT Provides a more accurate method for assessing urban heat stress, informing climate-adaptive planning and heat risk management.

RANK_REASON Academic paper detailing a new methodology and findings on spatial machine learning for urban heat stress analysis.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Explainable ML reveals urban morphology's impact on heat stress beyond LST

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Academic paper detailing a new methodology and findings on spatial machine learning for urban heat stress analysis.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs ·

    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…

  2. arXiv cs.LG TIER_1 English(EN) · Rudi Stouffs ·

    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…