TY  - JOUR
PY  - 2022//
TI  - Analyzing GPS data for psychological research: a tutorial
JO  - Advances in methods and practices in psychological science
A1  - Müller, Sandrine R.
A1  - Bayer, Joseph B.
A1  - Ross, Morgan Quinn
A1  - Mount, Jerry
A1  - Stachl, Clemens
A1  - Harari, Gabriella M.
A1  - Chang, Yung-Ju
A1  - Le, Huyen T. K.
SP  - e25152459221082680
EP  - e25152459221082680
VL  - 5
IS  - 2
N2  - The ubiquity of location-data-enabled devices provides novel avenues for psychology researchers to incorporate spatial analytics into their studies. Spatial analytics use global positioning system (GPS) data to assess and understand mobility behavior (e.g., locations visited, movement patterns). In this tutorial, we provide a practical guide to analyzing GPS data in R and introduce researchers to key procedures and resources for conducting spatial analytics. We show readers how to clean GPS data, compute mobility features (e.g., time spent at home, number of unique places visited), and visualize locations and movement patterns. In addition, we discuss the challenges of ensuring participant privacy and interpreting the psychological implications of mobility behaviors. The tutorial is accompanied by an R Markdown script and a simulated GPS data set made available on the OSF.<p />  <p>Language: en</p>
LA  - en
SN  - 2515-2459
UR  - http://dx.doi.org/10.1177/25152459221082680
ID  - ref1
ER  -