Dr Jed Long – 26 June, 2017
With the development of ubiquitous tracking technologies, space-time analysis of movement data has become one of the most prominent areas of GIScience research. This study will investigate how recent developments in space-time analytics can be applied to a novel GPS tracking dataset consisting of a large sample of hunters and white-tailed deer simultaneously tracked during hunting season in Oklahoma. The analysis is conducted using the free and open source statistical software R. Of focus is the identification, timing, and location of ‘encounters’ and the subsequent movement behaviour surrounding encounter events; both by the hunters and the white-tailed deer. The research here demonstrates how space-time analytics can be used to answer targeted research questions from tracking data at the interface of humans and wildlife. Linkages to broader issues commonly faced in space-time analysis of tracking data are highlighted and discussed. This research represents a new direction emerging in wildlife movement ecology, one that simultaneously considers human movement dynamics alongside the movements of wildlife.