Event based visualization for user centered visual analysis

In recent years, visualization has become an increasingly important tool to support exploration and analysis of larger volumes of data. Still, the interests of the users are only rarely considered. Therefore, it is the goal of this thesis to shift the needs of users into the focus. For doing so, an event-based approach to visualization is pursued. This approach allows users to specify their interests as event types. During the visualization, instances of the specified event types are detected. It is then possible to automatically adjust visual representations according to the detected event instances. This process results in visualizations that are adapted to the needs and interests of users. Hence, users are supported in achieving their task at hand. In this thesis, a generalized model of event-based visualization is developed. Furthermore, it is demonstrated how the developed methods and concepts can be implemented in an event-based visualization framework. Several event-enhanced visualizations are introduced to substantiate the claims made.