most citedA dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data

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stat.AP2022★ 1 cited

A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data

Claire Heffernan, Roger Peng, Drew R. Gentner +2

Low-cost air pollution sensors, offering hyper-local characterization of pollutant concentrations, are becoming increasingly prevalent in environmental and public health research.…