PWFSLSmoke: Utilities for Working with Air Quality Monitoring Data

Utilities for working with air quality monitoring data with a focus on small particulates (PM2.5) generated by wildfire smoke. Functions are provided for downloading available data from the United States 'EPA' <https://www.epa.gov/outdoor-air-quality-data> and it's 'AirNow' air quality site <https://www.airnow.gov>. Additional sources of PM2.5 data made accessible by the package include: 'AIRSIS' (password protected) <https://www.oceaneering.com/data-management/> and 'WRCC' <https://wrcc.dri.edu/cgi-bin/smoke.pl>. Data compilations are provided by 'PWFSL' <https://www.fs.fed.us/pnw/pwfsl/>.

Version: 1.2.111
Depends: R (≥ 3.3.0), dplyr (≥ 0.8.3), maps, MazamaCoreUtils (≥ 0.4.3), MazamaSpatialUtils (≥ 0.6.3)
Imports: curl, cluster, dygraphs (≥ 1.1.1.4), geosphere, ggmap, glue, httr, jsonlite, leaflet (≥ 1.0.0), lubridate, magrittr, mapproj, maptools, methods, openair, png, purrr, raster, RColorBrewer, rgdal, RgoogleMaps, readr, reshape2, rlang, sf, slippymath, sp, stringr, tibble, tidyr, xts
Suggests: knitr, lintr, rmarkdown, testthat (≥ 2.1.0)
Published: 2020-07-02
Author: Jonathan Callahan [aut, cre], Hans Martin [aut], Spencer Pease [aut], Helen Miller [aut], Zach Dingels [aut], Rohan Aras [aut], Jon Hagg [aut], Jimin Kim [aut], Rex Thompson [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan at gmail.com>
BugReports: https://github.com/MazamaScience/PWFSLSmoke/issues
License: GPL-3
URL: https://github.com/MazamaScience/PWFSLSmoke
NeedsCompilation: no
Materials: README
CRAN checks: PWFSLSmoke results

Downloads:

Reference manual: PWFSLSmoke.pdf
Vignettes: Data Model
Example: Save Data as CSV
Maps and Timeseries Plots
NowCast
Introduction to PWFSLSmoke
Package source: PWFSLSmoke_1.2.111.tar.gz
Windows binaries: r-devel: PWFSLSmoke_1.2.111.zip, r-release: PWFSLSmoke_1.2.111.zip, r-oldrel: PWFSLSmoke_1.2.111.zip
macOS binaries: r-release: PWFSLSmoke_1.2.111.tgz, r-oldrel: PWFSLSmoke_1.2.111.tgz
Old sources: PWFSLSmoke archive

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