An Interpretable Machine Learning Method to Inform Urban Adaptation to Heat Waves
Author:
Affiliation:
1. School of Civil and Environmental Engineering and Earth Sciences, College of Engineering, Computing, and Applied Sciences, Clemson Univ., Clemson, SC.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485248.020
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4. Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran
5. Interpretable machine learning learns complex interactions of urban features to understand socio‐economic inequality;Fan C.;Computer-Aided Civil and Infrastructure Engineering,2023
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