Integrating satellite information, land use regression, and machine learning to estimate the spatiotemporal variation of ionic composition in PM2.5 across Taiwan
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The growing understanding of PM2.5 compositions has promoted the application of machine learning in exposure estimation. However, data-driven approaches may neglect the necessity for expert knowledge. This study presents a theory-guided approach combining land... ...
