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

1 citations · 1 across the 1 of their papers we have counts for

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stat.AP2024

Unified calibration and spatial mapping of fine particulate matter data from multiple low-cost air pollution sensor networks in Baltimore, Maryland

Claire Heffernan, Kirsten Koehler, Drew R. Gentner +2

Low-cost air pollution sensor networks are increasingly being deployed globally, supplementing sparse regulatory monitoring with localized air quality data. In some areas, like Bal…

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.…