A machine learning model predicts 1km-resolution nighttime summer air temperature from building volumes derived from a new fast CityGML voxelization method, with Random Forest capturing spatial patterns better than XGBoost.
Exploring the relationship between air temperature and urban morphology factors using machine learning under local climate zones
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Predicting Air Temperature from Volumetric Urban Morphology with Machine Learning
A machine learning model predicts 1km-resolution nighttime summer air temperature from building volumes derived from a new fast CityGML voxelization method, with Random Forest capturing spatial patterns better than XGBoost.