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>.
Version: 0.4.3 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 Published: 2025-05-19 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 gmail.com> BugReports: https://github.com/MazamaScience/AirMonitor/issues License: GPL-3 URL: https://github.com/MazamaScience/AirMonitor, https://mazamascience.github.io/AirMonitor/ NeedsCompilation: no Materials: README NEWS CRAN checks: AirMonitor results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=AirMonitor to link to this page.
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