monitor_distinct

Two successive steps are used to guarantee that the
<code>datetime</code> axis contains no repeated values:
<ol>
<li>remove any duplicate records</li>
<li>guarantee that rows are in <code>datetime</code> order</li>
</ol>

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_distinct function

<dl><dt>monitor</dt>
<dd>mts_monitor object</dd></dl>

Arguments

Retain only distinct data records in monitor$data — monitor_distinct

<dl>

<dt>monitor</dt>
<dd>mts_monitor object</dd>

</dl>

monitor_distinct: Retain only distinct data records in monitor$data

Description

Usage

Value

Arguments