Image Processing Reference
In-Depth Information
Chapter 28
Cross-Scale, Multi-Scale, and Multi-Source
Data Visualization and Analysis
Issues and Opportunities
David Ebert, Kelly Gaither, Yun Jang and Sonia Lasher-Trapp
Abstract
As computational and experimental science have evolved, a new
dimension
of challenges for visualization and analysis has emerged: enabling
research, understanding, discovery at multiple problem scales and the interaction
of the scales, and abstractions of phenomena. Visualization and analysis tools are
needed to enable interacting and reasoning at multiple simultaneous scales of rep-
resentations of data, systems, and processes. Moreover, visualization is crucial to
help scientists and engineers understand the critical processes at the scale bound-
aries through the use of external visual cognitive artifacts to enable more natural
reasoning across these boundaries.
28.1 The Challenge of Multi-Scale Interactions
“Multi-Scale Interactions” has been used to characterize and emphasize that
significant breakthroughs need to occur in a variety of fields by understanding both
how the larger scales fuel the smaller scales, and how smaller scales feed back into
larger scales. One fundamental example of this is turbulence. Turbulence is a major
unsolved problem for fluid flow and is applicable to weather, medicine, engineering,
and climate change. Biology gives us another example where scientists are working
to understand structure and function from the cellular level up to the level of organs,
then to functional subsystems within the body. Another example occurs in para-
meterization in numerical modeling: how one represents processes occurring at the
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,Y.Jang
·
S. Lasher-Trapp
Purdue University, West Lafayette, USA
e-mail: ebertd@purdue.edu
S. Lasher-Trapp
e-mail: slasher@purdue.edu
K. Gaither
Texas Advanced Computing Center, Austin, USA
e-mail: kelly@tacc.utexas.edu
Y. J a n g
Sejong University, Seoul, South Korea
e-mail: jjangyn@gmail.com
D. Ebert
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