Visualization of scientific data can provide an
understanding of the phenomenon or data being studied. Visualization
can be approached in the traditional qualitative way. For example, one way it
contributes to theory validation is through demonstration of
qualitative effects seen in experiments such as Jeffery's orbits as
described in the visualization of high performance concrete.
But visualizations can also be treated as objects of study and examined
quantitatively. For example, in a tissue engineered scaffold structure,
the measurements and analyses on the visualizations enabled comparison of key
scaffold descriptors across images. The development of methods for the quantification
of uncertainty in visualization provides the needed information to
fully understand measurement and analysis in visualization. In this way the visualization environment
becomes a Virtual Laboratory.
Current visualization technology provides a full range of
hardware and techniques from static two-dimensional plots, to
interactive three-dimensional images projected onto a monitor, to
large screen fully immersive systems allowing the user to interact on
a human scale.
Immersive virtual reality (IVR) is an emerging
technique with the potential for handling the growing amount of data from large
parallel computations or advanced data acquisitions. The IVR systems
take advantage of human skills at pattern recognition by providing a
more natural environment where a stereoscopic display improves depth
perception and peripheral vision provides more context for human
The techniques used for parallel computing and visualization, as well as the
knowledge of hardware, are specialized and outside the experience of most
scientists. SAVG makes use of our experience in solving computational and
visualization problems as we collaborate with scientists to enhance
and interpret their data. Results of this work include theory validation,
experiment validation, new analysis tools, new insights, standard
reference codes and data, new parallel algorithms, new measurement techniques,
and new visualization techniques.