https://github.com/mazamascience/airsensor2

Utilities for working with data from low-cost air quality sensors
https://github.com/mazamascience/airsensor2

Last synced: 5 months ago
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Utilities for working with data from low-cost air quality sensors

• Host: GitHub
• URL: https://github.com/mazamascience/airsensor2
• Owner: MazamaScience
• License: gpl-3.0
• Created: 2022-04-19T22:48:27.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2025-03-25T23:30:47.000Z (over 1 year ago)
• Last Synced: 2025-06-01T04:14:43.854Z (about 1 year ago)
• Language: HTML
• Homepage: https://mazamascience.github.io/AirSensor2/
• Size: 7.5 MB
• Stars: 3
• Watchers: 4
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE

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README

          
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A dedicated Slack channel has been created for announcements, support and to help build a community of practice around this open source package. You may request an invitation to join from jonathan.callahan@dri.com.

# AirSensor2 R Package

```

Utilities for working with air quality monitoring data from low-cost sensors

with a focus on small particulates (PM2.5). Initial focus is on sensors

produced by 'PurpleAir' .

```

## Background

The **AirSensor2** package is a refactoring of the core data access and 

manipulation functionality found in the 

[AirSensor](https://mazamascience.github.io/AirSensor/) package. The goal in 

**AirSensor2** is to create a lean, generic package that is more easily 

maintained and is focused on data ingest and basic data manipulation.

While initially focused on data from PurpleAir sensors, **AirSensor2** 

aims to provide tools that can be used with a wide variety of low-cost

air quality sensors so that local communities can more easily access, QC and

visualize local air quality.

Development of the original **AirSensor** package was supported by the 

[South Coast Air Quality Management District](http://scaqmd.org)

with funds from a US EPA STAR grant. Additional support was provided by the US 

Forest Service [AirFire Research Team](https://www.airfire.org).

The **AirSensor2** is currently seeking sponsors for further development.

----

Initial development of this R package has been supported with funding from the 

following institutions:

* USFS [AirFire Research Team](https://www.airfire.org)

* [South Coast Air Quality Management District](http://www.aqmd.gov)