scientific visualization in seismology

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Amit Chourasia Visualization Scientist Visualization Services Presented at : SCEC-CME All Hands Meeting Jun 2006 Scientific Visualization in Seismology

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Scientific Visualization in Seismology. Amit Chourasia Visualization Scientist Visualization Services Presented at : SCEC-CME All Hands Meeting Jun 2006. Viz Highlights – Terashake2.1. Movie. Colored SA Maps. Self Contoured SA Maps. Prototype SCEC Viz portal. Current Work. - PowerPoint PPT Presentation

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Page 1: Scientific Visualization in Seismology

Amit ChourasiaVisualization Scientist

Visualization Services

Presented at : SCEC-CME All Hands Meeting Jun 2006

Scientific Visualization in Seismology

Page 2: Scientific Visualization in Seismology

Viz Highlights – Terashake2.1

Movie

Page 3: Scientific Visualization in Seismology

Colored SA Maps

Page 4: Scientific Visualization in Seismology

Self Contoured SA Maps

Page 5: Scientific Visualization in Seismology

Prototype SCEC Viz portal

Page 6: Scientific Visualization in Seismology

Current Work

“Earthworks effort”

-Viz on demand through web On the fly viz

Page 7: 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...

Page 8: Scientific Visualization in Seismology

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

Page 9: Scientific Visualization in Seismology

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)

Page 10: Scientific Visualization in Seismology

Our Focus

Enable science through visualization

Page 11: Scientific Visualization in Seismology

Collaboration

What is missing ? What are features of interest ? How can features be extracted ? Tell us your visual interpretations and

conceptions of simulations.

Page 12: Scientific Visualization in Seismology

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

Page 13: Scientific Visualization in Seismology

Simulations•What happens ?•Where ( Place + Time) ?•How it happens ?

•Why?

Visualization

Science

Monitering-On the Fly

Diagnosis after completion

Page 14: Scientific Visualization in Seismology

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.

Page 15: Scientific Visualization in Seismology

People

Visualization Services Steve Cutchin Alex Decastro Amit Chourasia Patrick Yau (Former Intern)

Page 16: Scientific Visualization in Seismology

Hope you are still awake!

?- Drop a line: amit sdsc.edu

http://visservices.sdsc.edu/