Spatially Adaptive Ensemble Learning with Calibrated Predictive Uncertainty

Air pollution exposure assessment often uses ensembles of spatio-temporal models, but a critical limitation is that conventional methods use deterministic weights and fail to quantify the uncertainty of their predictions. This yields suboptimal results and prevents the assessment of prediction relia