Analysis of Movement Data 2016
The past 10-15 years have seen a dramatic improvement of positioning technologies, which led to massive volumes of tracking data about virtually any object that moves, in a multitude of application domains. Consequently, many new methods for these data have been developed, and computational movement analysis has evolved as an important stream of research in GIScience. However, many challenges remain, such as integration of trajectories with space-time environmental data, multi-sensor data integration, scale-adaptive analysis, integration of analytical and visual methods, modeling and simulation of movement, passing from individual to collective movement, or linking patterns back to behavioural events and processes.
This workshop pursues two objectives. First, to provide a platform to discuss recent trends, and review the current state of the art in this domain. And second, to identify the key challenges for future research and (re-)define the research agenda. These objectives will be pursued using a mix of short presentations, a panel discussion, and break-out and plenary sessions.