identify_walk_bouts_in_gps_and_accelerometry_data

This function identifies walking bouts in GPS and accelerometry data.
It processes the GPS data and accelerometry counts to create walk bouts.

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

identify_walk_bouts_in_gps_and_accelerometry_data function

<dl><dt>gps_data</dt>
<dd>A data frame containing GPS data</dd>
<dt>accelerometry_counts</dt>
<dd>A data frame containing accelerometry counts</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to the function</dd>
<dt>collated_arguments</dt>
<dd>A list of collated arguments</dd></dl>

Arguments

Identify walking bouts in GPS and accelerometry data: — identify_walk_bouts_in_gps_and_accelerometry_data

<dl>

<dt>gps_data</dt>
<dd>A data frame containing GPS data</dd>


<dt>accelerometry_counts</dt>
<dd>A data frame containing accelerometry counts</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to the function</dd>


<dt>collated_arguments</dt>
<dd>A list of collated arguments</dd>

</dl>

identify_walk_bouts_in_gps_and_accelerometry_data: Identify walking bouts in GPS and accelerometry data:

Description

Usage

Value

Arguments