Exploring the spatio-temporal effects of urban thermal environment on the heat island using geographically interpretable machine learning
The Urban Heat Island (UHI) effect exacerbates environmental degradation, growing energy demand, and public health risks, especially in densely populated and vulnerable Mediterranean urban communities. This study investigates the spatial heterogeneity of the UHI effect in Barcelona from 2015 to 2023 by integrating multi-source geospatial data and interpretable machine learning techniques. Using Go
