Unravelling the importance of spatial and temporal resolutions in modeling urban air pollution using a machine learning approach

Details of the main steps of our proposed methodology to model urban air pollution using ML methods and assessing the importance of the spatial and temporal resolutions in modeling are shown in Fig. 2.

Fig. 2

The study’s primary workflow…

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