monitor_dropEmpty

The incoming mts_monitor object is subset to retain
only time series with valid data.

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>.

Jonathan Callahan

AirMonitor

Air Quality Data Analysis

Spencer Pease

Hans Martin

Rex Thompson

monitor_dropEmpty function

<dl><dt>monitor</dt>
<dd>mts_monitor object. (A list with
<code>meta</code> and <code>data</code> dataframes.)</dd></dl>

Arguments

Drop device deployments with all missing data — monitor_dropEmpty

<dl>

<dt>monitor</dt>
<dd>mts_monitor object. (A list with
<code>meta</code> and <code>data</code> dataframes.)</dd>

</dl>

monitor_dropEmpty: Drop device deployments with all missing data

Description

Usage

Value

Arguments