example_pas_raw

The <code>example_pas_raw</code> dataset provides a quickly loadable
version of raw Purple Air synoptic data JSON for practicing and code
examples. This dataset contains data for sensors in Washington and Oregon
and was generated on 2020-09-15 by running:<pre>
library(AirSensor)initializeMazamaSpatialUtils()example_pas_raw &lt;- 
 pas_downloadParseRawData() 
 dplyr::filter(Lon &gt; -125.0 &amp; Lon &lt; -117.0 &amp; Lat &gt; 42.0 &amp; Lat &lt; 49.0)save(example_pas_raw, file = "data/example_pas_raw.rda")
</pre>This dataset can be converted into a standard pas dataset with:<pre>
pas &lt;- pas_enhanceData(example_pas_raw)
</pre>

datasets

Process and display data from air quality sensors.
Initial focus is on PM2.5 measurements from sensors produced by 'PurpleAir'
<https://www2.purpleair.com>.

Jonathan Callahan

AirSensor

Process and Display Data from Air Quality Sensors

Hans Martin

Kayleigh Wilson

Tate Brasel

Helen Miller

Vasileios Papapostolou

Ashley Collier-Oxandale

Brandon Feenstra

example_pas_raw function

A tibble with 1233 rows and 32 columns of data.

Format

Example raw Purple Air Synoptic dataset — example_pas_raw

Example raw Purple Air Synoptic dataset

example_pas_raw: Example raw Purple Air Synoptic dataset

Description

Usage

Arguments

Format

See Also