Air Quality Data Analysis R package AirMonitor version 0.4.3 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>. Software Depends: R (>= 4.0.0) 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 Suggests: knitr, markdown, testthat, rmarkdown, roxygen2 Jonathan Callahan <jonathan.s.callahan@gmail.com> Comprehensive R Archive Network (CRAN) Jonathan Callahan [aut, cre], Spencer Pease [ctb], Hans Martin [ctb], Rex Thompson [ctb] GPL-3 2025-05-19 application/tgz https://CRAN.R-project.org/package=AirMonitor doi:10.32614/CRAN.package.AirMonitor