addClustering

tibble with geolocation information (e.g. created by <code>wrcc_qualityControl()</code> or <code>airsis_qualityControl</code>)

diameter in meters used to determine the number of clusters (see description)

clusterDiameter

name of longitude variable in the incoming tibble

lonVar

name of the latitude variable in the incoming tibble

latVar

maxClusters

flag, rather then remove, bad data during clustering

flagAndKeep

Clustering is used to assign individual measurements to deployment locations.
The value of <code>clusterRadius</code> is compared with the output of <code>cluster::pam(...)$clusinfo[,'av_diss']</code>
to determine the number of clusters.

internal

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/>.

Jonathan Callahan

addClustering: Add clustering information to a dataframe

Description

Usage

Arguments

Value

References