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: <>.

Version: 0.4.0
Depends: R (≥ 4.0.0)
Imports: dplyr, dygraphs, leaflet, lubridate, magrittr, MazamaCoreUtils (≥ 0.5.2), MazamaRollUtils (≥ 0.1.3), MazamaTimeSeries (≥ 0.2.16), readr, rlang (≥ 1.0.0), stringr, tidyselect, xts
Suggests: knitr, markdown, testthat, rmarkdown, roxygen2
Published: 2024-02-11
DOI: 10.32614/CRAN.package.AirMonitor
Author: Jonathan Callahan [aut, cre], Spencer Pease [ctb], Hans Martin [ctb], Rex Thompson [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: AirMonitor results


Reference manual: AirMonitor.pdf
Vignettes: Introduction to AirMonitor
Data Model
Developer Style Guide


Package source: AirMonitor_0.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): AirMonitor_0.4.0.tgz, r-oldrel (arm64): AirMonitor_0.4.0.tgz, r-release (x86_64): AirMonitor_0.4.0.tgz, r-oldrel (x86_64): AirMonitor_0.4.0.tgz
Old sources: AirMonitor archive


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