Citations

In AirMonitor: Air Quality Data Analysis

knitr::opts_chunk$set(echo = TRUE)

The AirMonitor package's predecessor, the PWFSLSmoke 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 PWFSLSmoke package.

PWFSLSmoke

The predecessor to the AirMonitor package is the PWFSLSmoke package from which many functions were copied and refactored.

Packages Dependent Upon PWFSLSmoke

The following R packages depend upon PWFSLSmoke:

• AirSensor -- Process and Display Data from Air Quality Sensors

Publications that mention PWFSLSmoke

• Feb, 2022 -- Environmental Modeling & Software
  https://doi.org/10.1016/j.envsoft.2021.105256
  "the AirSensor package leverages the PWFSLSmoke package to provide access to PM2.5 data"

• Feb, 2021 -- Eos
  https://doi.org/10.1029/2021EO155076
  "Special thanks go to ... Mazama Science for the PWFSLSmoke R statistical package"

• Dec, 2020 -- Environmental Modeling & Software
  https://doi.org/10.1016/j.envsoft.2020.104832
  "AirSensor has been integrated with the PWFSLSmoke R package for access to regulatory AM data"

• Sep, 2020 -- Journal of the Air & Waste Management Association
  https://doi.org/10.1080/10962247.2021.1891994
  "Data were accessed and processed by the PWFSLSmoke statistical package"

• Sep, 2020 -- Atmosphere
  https://doi.org/10.3390/atmos11090970
  "daily average concentrations of PM2.5 were downloaded in R using the PWFSLSmoke Package"

Student Theses that mention PWFSLSmoke

• 2021 -- UW Masters Thesis
  http://hdl.handle.net/1773/48258
  "Many thanks to the USFS Pacific Wildland Fire Sciences Lab Airfire team for developing the PWFSLSmoke R package and making it available for researchers."

AirMonitor documentation built on Aug. 26, 2023, 1:08 a.m.