make_full_walk_bout_df

<p>This function combines accelerometer and GPS data to create a data frame of walking bouts.
It generates a full day of activity with bouts of minimum and non-bout periods, and GPS data for walking in Seattle.
The accelerometer data is processed into bouts using the <code>process_accelerometry_counts_into_bouts</code> function.
The GPS data is processed into epochs using the <code>process_gps_data_into_gps_epochs</code> function.</p>

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

make_full_walk_bout_df: Create a data frame of walking bouts with GPS data

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