generate_walking_in_seattle_gps_data

This function generates a data frame containing GPS data for a walking activity in Seattle, WA on April 7th, 2012. It calls the function generate_gps_data to create a series of GPS locations and speeds. The resulting data frame has columns for time, latitude, longitude, and speed.

Process GPS and accelerometry data to generate walk bouts. A walk bout is a period of activity with accelerometer movement matching the patterns of walking with corresponding GPS measurements that confirm travel. The inputs of the 'walkboutr' package are individual-level accelerometry and GPS data. The outputs of the model are walk bouts with corresponding times, duration, and summary statistics on the sample population, which collapse all personally identifying information. These bouts can be used to measure walking both as an outcome of a change to the built environment or as a predictor of health outcomes such as a cardioprotective behavior. Kang B, Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.

Lauren Blair Wilner

walkboutr

Generate Walk Bouts from GPS and Accelerometry Data

Stephen J Mooney

generate_walking_in_seattle_gps_data function

<dl><dt>start_lat</dt>
<dd>The starting latitude of the walk.</dd>
<dt>start_long</dt>
<dd>The starting longitude of the walk.</dd>
<dt>start_time</dt>
<dd>The start time of a series of data</dd></dl>

Arguments

Generate GPS data for a walking activity in Seattle, WA — generate_walking_in_seattle_gps_data

<dl>

<dt>start_lat</dt>
<dd>The starting latitude of the walk.</dd>


<dt>start_long</dt>
<dd>The starting longitude of the walk.</dd>


<dt>start_time</dt>
<dd>The start time of a series of data</dd>

</dl>

generate_walking_in_seattle_gps_data: Generate GPS data for a walking activity in Seattle, WA

Description

Usage

Value

Arguments