1. AMIT CHOURASIA VISUALIZATION SCIENTIST VISUALIZATION SERVICES SAN DIEGO SUPERCOMPUTER CENTER PRESENTED AT : GEOINFORMATICS 2007, MAY 18 TH VISUAL REPRESENTATION OF SEISMIC DATA

2. Data Sources Observed: Sensors, experiments, etc… Simulated: Weather, earthquakes, etc… Data Attributes Time varying Multivariate Heterogeneous 2

3. Problems How to verify and validate ? How to analyze and gain scientific insight ? How to share information among experts and others? 3

4. Understanding Data Large amount of numbers don’t make much sense to humans Visual information can encode large amount of numbers to gain insight Low Bandwidth High Bandwidth 4

5. Quest for Visual Representation Desirable Attributes Intuitive Highlights feature of interest Color: Perceptual or Rainbow style? 5

6. Maps TeraShake1.3: Spectral Acceleration at 3.0 sec 6 Collab: SCEC

7. Self Contouring Technique TeraShake1.3: Spectral Acceleration at 3.0 sec 7 Collab: SCEC

8. Topography Deformation TeraShake2.1: Displacement magnitudePuente Hills Simulation Movie: Puente Hills 8 Collab: SCEC

9. Cross Sectional TeraShake2.1: Velocity Magnitude and Sliprate 9 Collab: SCEC

10. Volumetric TeraShake 2.2: Velocity-X Movie: TeraShake 2.1 10 Collab: SCEC

11. Design Evolution 11 TeraShake Aggregate Data: 100TB Collab: SCEC

12. Multivariate Encoding 1906 San Francisco Earthquake Simulation Movie: South Bound 12 Collab: USGS

13. Multivariate Encoding 1906 San Francisco Earthquake Simulation Color Blending Irregular Mesh (36,000 verts, 65,000 tri) 13 Color Scheme Collab: USGS

14. Seven Story Building Shake 14 Collab: NEES Movie: Deformation

15. Seven Story Building Shake Original video Match Check Match CombinedPerspective npr 15 Collab: NEES

16. Tools - SCEC Viz portal 16 Collab: SCEC

17. Dirty Data Issues Data Formats Data Translation Data transfer and replication between archival and active file systems Data larger than available memory 17

18. Lessons Learned (TeraShake) In the north-westward propagating rupture scenario the wave propagation is strongly guided toward the Los Angeles basin after leaving the San Andreas Fault (unexpected) The sediment filled basin acts as an amplification source for trapped waves. A Strong amplification is observed in the LA basin long after the initial rupture (unexpected) Contiguous basins act as energy channels, enhancing ground motion in parts of the San Gabriel and Los Angeles basins. Identification of regions of particularly strong shaking Validation of input rupture model and instability identification Observation of star burst patterns in the Spectral Amplification maps (unexpected) 18

19. Visualization Issues Domain knowledge Multivariate data representation design Temporal coherence Precision Loss (compression, etc…) Interaction vs. batch visualization Perceptual Issues Personal Bias (author & viewer) 19

20. “Information is infinite” Information overload Can’t win Can’t break even Can’t get out of the game Can visual representation help? Think Petascale Data Analysis Joseph Kielman Science Advisor Dept. of Homeland Security Comments at VAST2006 Capstone 20

21. Thanks for your patience ? - Web: http://visservices.sdsc.edu/ email: amit sdsc.edu http://visservices.sdsc.edu/ 21