Code to reproduce results from the manuscript "AirSensor v1.0: Enhancements to the open-source R package to enable deep understanding of the long-term performance and reliability of PurpleAir sensors"
Inlcudes:
- Part 1 - Identify relevant sensors and create a local archive of data
- Part 2 - Load the data from the local archive and process/organize for analysis and visualization, including: calculating a percent of data passing QA/QC per day, a cumulative runtime (in days), and an estimated cumulative expsoure or loading (in ug)
- Part 3 - Results and plots for Section 3.1
- Part 4 - Results and plots for Section 3.2
- Part 5 - Results and plots for Section 3.3
- Part 6 - Results and plots for Section 3.4
The code also notes all libraries requried in addition to the AirSensor package, and the versions used.
Funding Information and Disclaimer
The publication associated with this analysis was developed under Assistance Agreement No. RD83618401, awarded by the U.S. Environmental Protection Agency through the Science to Achieve Results (STAR) program to South Coast Air Quality Management District. It has not been formally reviewed by EPA. The views expressed in this document are solely those of the authors and do not necessarily reflect those of the EPA. South Coast AQMD and EPA do not endorse any products or commercial services mentioned in this publication.
Last edited: 10/7/21