GVU Technical Report Number:
GIT-GVU-94-27
Title:
Next-Generation Data Visualization Tools
Authors:
William Ribarsky
James Foley
Abstract:
Scientific data visualization has finally come of age as an important and
accepted discipline. While scientists have been using computer graphics
to visualize experimental data and computational results for at least 30
years, recent improvements in cost/performance of graphics workstations,
more readily available software, and the new-found name "scientific data
visualization" have solidified the discipline. Many thousands of
scientists regularly use visualizations as part of their work. Our
thesis is that scientists are forced to work too hard to create these
visualizations, but that the evolving set of visualization tools can
greatly reduce the requisite effort. Further, these tools, and those of
the next generation, will open significant new ways to understand
increasingly complex and large datasets. Principal causes for this will
be the increased interactivity that the tools will naturally offer
and the need for designs based on careful consideration of
scientific and engineering analysis requirements.
Keywords:
Scientific data visualization, computer graphics, designs, visualization
tools
You can access this technical report via:
PDF
Postscript
|
