The AirSensor2 package’s predecessor, the AirSensorAirsensor package is widely used in air quality analysis throughout North America and the world. This document provides links to projects and publications that mention the AirSensor and AirSensor2 packages.

Publications using the AirSensor package

  • Mar, 2022 – Sensors for Indoor and Outdoor Air Quality Monitoring: From Research to Citizen Science Applications
    https://doi.org/10.3390/s22072543
    Towards the Development of a Sensor Educational Toolkit to Support Community and Citizen Science

  • Feb, 2022 – Environmental Modeling & Software
    https://doi.org/10.1016/j.envsoft.2021.105256
    AirSensor v1.0: Enhancements to the open-source R package to enable deep understanding of the long-term performance and reliability of PurpleAir sensors

  • Jan, 2022 – Journal of Aerosol Science
    https://doi.org/10.1016/j.jaerosci.2021.105872
    Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring

  • Dec, 2020 – Environmental Modeling & Software
    https://doi.org/10.1016/j.envsoft.2020.104832
    The AirSensor open-source R-package and DataViewer web application for interpreting community data collected by low-cost sensor networks