June 2015 – Jennifer A Miller, PhD

A new paper that continues my research on analyzing dynamic interactions using GPS data has just been published. This article employs a null model approach to assess how six currently used dynamic interaction metrics vary in terms of the type and magnitude of interaction they measure. ‘Towards a better understanding of dynamic interaction metrics for wildlife: a null model approach‘ (also see ‘Using spatially explicit simulated data to analyze animal interactions: a case study with brown hyenas in northern Botswana‘). This work will be presented as part of a special Frontiers in GIScience Research session at the ESRI User Conference July 22, 2015.

This research is supported by NSF #1424920.

Dr. Jennifer Miller has received funding from UT’s Center for Identity for a new project that explores how anonymous movement trajectories are based on GPS locations from smartphones. Location data are often released after they have been ‘anonymized’—which means that the trajectory has been stripped of any obvious

Microsoft GeoLife trajectories in Beijing

identifying information such as name, address, phone number, etc. However, personal points of interest (home, work) can be easily identified by mining trajectory data for movement patterns, and these points of interest are often associated with unique individuals. This project will explore privacy issues associated with smartphone location data using a computational movement analysis framework.

Month: June 2015

New article on analyzing dynamic interactions

New project on exploring anonymity in movement trajectories