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.
Do water bodies play an important role in the relationship between urban form and land surface temperature? Sustainable cities and society , 39:487–498, 2018
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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.