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Amit Chourasia

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Amit Chourasia. Visualization Scientist. Visualization ... Scientific Visualization in Seismology. Viz Highlights Terashake2.1. Movie. Colored SA Maps ... – PowerPoint PPT presentation

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Title: Amit Chourasia


1
Scientific Visualization in Seismology
  • Amit Chourasia
  • Visualization Scientist
  • Visualization Services
  • Presented at SCEC-CME All Hands Meeting Jun 2006

2
Viz Highlights Terashake2.1
Movie
3
Colored SA Maps
4
Self Contoured SA Maps
5
Prototype SCEC Viz portal
6
Current Work
  • Earthworks effort
  • -Viz on demand through web
  • On the fly viz

7
Past Work
  • SCEC data used for IEEE Vis 2006 contest
  • Cover for GRL
  • Movies being used in Teacher Training
  • Movies part of National Geographics Documentary
  • Movies shown at TV/Internet News
  • Movies shown at key meetings/conferences...

8
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

9
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)

10
Our Focus
  • Enable science through visualization

11
Collaboration
  • What is missing ?
  • What are features of interest ?
  • How can features be extracted ?
  • Tell us your visual interpretations and
    conceptions of simulations.

12
Software Tools
  • Vista (SDSC/NPACI)
  • Mesh Viewer (SDSC/NPACI)
  • DeskVox
  • Autodesks Maya Image Studio
  • Adobes suite (After Effects, Photoshop,
    Illustrator)
  • Other tools thatll work

13
Simulations
  • What happens ?
  • Where ( Place Time) ?
  • How it happens ?

Visualization
Monitering-On the Fly
  • Why?

Diagnosis after completion
Science
14
Future Directions
Visualization
Caution What is left out? What is
distilled? Ensure detail and significant features
are not lost.
Monitering
  • Integrated
  • Web based?

Automated
Diagnosis / Analysis
  • Feature Driven
  • Multivariate
  • Replicable
  • Quick

15
People
  • Visualization Services
  • Steve Cutchin
  • Alex Decastro
  • Amit Chourasia
  • Patrick Yau (Former Intern)

16
Hope you are still awake!
  • ?- ?
  • Drop a line amit_at_sdsc.edu
  • http//visservices.sdsc.edu/
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