Citation

Müller SR, Bayer JB, Ross MQ, Mount J, Stachl C, Harari GM, Chang YJ, Le HTK. Adv. Meth. Pract. Psychol. Sci. 2022; 5(2): e25152459221082680.

Copyright

(Copyright © 2022, SAGE Publishing)

DOI

10.1177/25152459221082680

PMID

unavailable

Abstract

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.

Language: en

Keywords

digital traces; GPS; location; mobile analytics; open data; open materials; sensing; spatial analytics; tracking