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.
Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island
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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.