amit chourasia visualization scientist visualization services presented at : scec-cme all hands...
Post on 01-Jan-2016
213 Views
Preview:
TRANSCRIPT
Amit ChourasiaVisualization Scientist
Visualization Services
Presented at : SCEC-CME All Hands Meeting Jun 2006
Scientific Visualization in Seismology
Past Work
SCEC data used for IEEE Vis 2006 contest Cover for GRL Movies being used in Teacher Training Movies part of National Geographic’s
Documentary Movies shown at TV/Internet News Movies shown at key meetings/conferences...
Insight?
Purpose of Visualization is insight But, what exactly is insight? How can it be measured?
Ref: North. C., Towards measuring Visualization Insight, CGA, May/June 2006
Some important characteristics of Insight are Complex Deep Qualitative Unexpected Relevant
Lets take a look at Insight Complex - involving all or large amounts of data in a synergistic
way, not simple data values. (Whittier Narrows effect) Deep – it builds up over time, accumulating and building up on
itself to create depth. It often generates further questions. (Movie stack for different simulations, comparison movies)
Qualitative – is not exact, can be uncertain and subjective, and can have multiple levels of resolution. (Input wave super shear)
Unexpected – is often unpredictable, serendipitous and creative. (Sun bursts patterns, reflection in ocean)
Relevant – is deeply embedded in the data domain, connecting the data to existing domain knowledge and giving relevant meaning. It goes beyond dry analysis, to relevant domain impact. (Coupling surface information like fault lines, freeways, topography, etc)
Collaboration
What is missing ? What are features of interest ? How can features be extracted ? Tell us your visual interpretations and
conceptions of simulations.
Software Tools
Vista (SDSC/NPACI) Mesh Viewer (SDSC/NPACI) DeskVox Autodesk’s Maya & Image Studio Adobe’s suite (After Effects, Photoshop,
Illustrator) Other tools that’ll work
Simulations•What happens ?•Where ( Place + Time) ?•How it happens ?
•Why?
Visualization
Science
Monitering-On the Fly
Diagnosis after completion
Future Directions
Visualization
Monitering
Diagnosis/
Analysis •Feature Driven•Multivariate•Replicable•Quick
•Integrated •Web based?
Automated
Caution:
What is left out?
What is distilled?
Ensure detail and significant features are not lost.
People
Visualization Services Steve Cutchin Alex Decastro Amit Chourasia Patrick Yau (Former Intern)
top related