AirMonitor
Air Quality Data Analysis
Utilities for working with hourly air quality monitoring data with a focus on small particulates (PM2.5). A compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Algorithms to calculate NowCast and the associated Air Quality Index (AQI) are defined at the US Environmental Projection Agency AirNow program: <https://document.airnow.gov/technical-assistance-document-for-the-reporting-of-daily-air-quailty.pdf>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.3 |
2026-04-09 windows/windows R-4.5 | AirMonitor_0.4.3.zip |
1.1 MiB |
Dependencies (latest)
Imports
- dplyr
- dygraphs
- leaflet
- lubridate
- magrittr
- MazamaCoreUtils (>= 0.5.3)
- MazamaRollUtils (>= 0.1.4)
- MazamaTimeSeries (>= 0.3.1)
- readr
- rlang (>= 1.0.0)
- stringr
- tidyselect
- xts