September 11, Friday, Keynote II

Geographic Visualization of Movement Patterns

Gennady Andrienko and Natalia Andrienko
Fraunhofer Institute Intelligent Analysis and Information Systems


We present our recent results in visualization and visual analytics of movement data. The GeoPKDD project (Geographic Privacy-aware Knowledge Discovery and Delivery) and the recently started DFG project ViAMoD (Visual Spatiotemporal Pattern Analysis of Movement and Event Data) have brought into existence an array of new methods enabling the analysis of really large collections of movement data. Some of the methods are applicable even to data not fitting in the computer main memory. These include the techniques for database aggregation, cluster-based classification, and incremental summarisation of trajectories. The remaining methods can deal with data that fit in the main memory but are too big for the traditional visualization and interaction techniques. Among these methods are interactive visual cluster analysis of trajectories and dynamic aggregation of movement data. The visual analytics methods are based on the interplay of computational algorithms and interactive visual interfaces, which support the involvement of human capabilities for pattern recognition, association, interpretation, and reasoning. The projects have also moved forward the theoretical basis for visual analytics methods for movement data. We discuss analysis tasks and problems requiring further research.

About the Speaker:

Gennady Andrienko received his Master degrees in Computer Science from Kiev State University in 1986, and Ph.D. equivalent in Computer Science from Moscow State University in 1992. He undertook research on knowledge-based systems at the Mathematics Institute of Moldavian Academy of Sciences (Kishinev, Moldova), then at the Institute on Mathematical Problems of Biology of Russian Academy of Science (Pushchino Research Center, Russia). Since 1997 Dr. Andrienko has a research position at GMD, now Fraunhofer Institute for intelligent Analysis- and Information Systems (IAIS). He is a co-author of the monograph "Exploratory Analysis of Spatial and Temporal Data", 30+ peer-reviewed journal papers, 10+ book chapters, and 100+ papers in conference proceedings. He has been involved in numerous international research projects. His research interests include geovisualization, information visualization with a focus on spatial and temporal data, visual analytics, interactive knowledge discovery and data mining, spatial decision support and optimization.