Data Visualization

Being able to visualize data adds a new dimension to scientific results. Visualization helps scientists comprehend the complex interrelationships that exist in large volumes of data -- even though these patterns may not be apparent when the data are in raw form. Through visualization, data are transformed into information and knowledge.

DIS computer scientists are developing data visualization tools that synthesize large amounts of complex, interconnected tabular data. Using these graphical tools enables scientists to analyze data more effectively and then:

• Display data through color coding, which shows gradations or fluctuations in data (e.g., changes in temperature or pressure)
• Superimpose data on objects such as maps and diagrams
• Display data in three-dimensional shapes

Time-stepped models can project and illustrate the dynamic changes to a system and how it evolves as time progresses. If relevant, the models can be interrupted to analyze intermediate states. Such models help scientists understand how characteristics or behaviors evolve, what features are important to the final outcomes, and what factors (even if very subtle) can serve as predictors of later events. Tropical storms, for example, can be interpreted to determine how they can evolve into hurricanes or typhoons.

For more information, contact:
Craig Swietlik
Information Sciences Group
Decision and Information Sciences Division
Argonne National Laboratory
9700 South Cass Ave., Bldg. 900
Argonne, IL 60439
Phone: 630-252-8912
Fax: 630-252-5128
E-mail Craig Swietlik