The analysis of multi-dimensional flow data demands a scientific representation environment which supports an e#ective study by a scientist or expert, in order to reduce design and production costs and aid in making critical decisions. The visual representations must clarify mutual relations, time-dependencies, location and scale of interesting phenomena. To support e#ective interactive analyses of these often large and complex flow domains, scientific flow visualization methods in virtual environments are used. The presence of a human in the visualization as well as the 3 dimensional nature of the environment and visual representations demand intuitive interaction and navigation possibilities.