Scientific visualization  provides graphical representations of numerical data for their qualitative and quantitative analysis. In contrast to a fully automatic analysis (e.g., with statistical methods), the final analytic step is left to the user, thus utilizing the power of the human visual system. Scientific visualization differs from the related field of information visualization in that it focuses on data that represent samples of continuous functions of space and time, as opposed to data that are inherently discrete.
Volumetric data, i.e., data given on a three-dimensional domain, occlude each other. This problem becomes even more challenging if data are not scalars, but vectors or even tensors.
Visualization should provide a global picture of the spatial and temporal behavior of the data, but also allow for...