Introduction to Data Visualization<br />Hao Wang<br />Thoughtworks<br />
Data Acquisition<br />
2D Scalar Fields<br />
Quantitative v.s Qualitative<br />
Redundant Cues<br />
Trumbo’s Principles<br />Ordered values should be represented by ordered colors<br />Significantly different levels should ...
Height Field<br />
Isocontours<br />
Marching Triangles<br />
Marching Cubes<br />
Marching Cubes<br />
Speedup<br />Octree<br />Extrema Graph<br />View Dependent Approach<br />
Direct Volume Rendering<br />What if we want to see multiple layers of data?<br />
Optical Models<br />
Optical Models<br />Maximum Intensity Projection<br />Absorption<br />Absorption and Emission<br />
Transfer Functions<br />
Isosurfacev.s Volume Rendering<br />Isosurface: hard, binary<br />Volume Rendering: soft, noisy<br />
Vector Fields<br />
Streamlines<br />
LIC<br />
LIC<br />
3D Vector Fields<br />
Critical Points<br />
Information Visualization<br />
Multivariate Data<br />
Hierarchical Data<br />
Hierarchical Data<br />
Map Data<br />
Social Data<br />
Acknowledgement<br />Charles Hansen, University of Utah<br />Claudio Silva, University of Utah<br />Carlos Scheidegger, AT...
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Introduction to scientific visualization

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Introduction to scientific visualization

  1. 1. Introduction to Data Visualization<br />Hao Wang<br />Thoughtworks<br />
  2. 2. Data Acquisition<br />
  3. 3. 2D Scalar Fields<br />
  4. 4. Quantitative v.s Qualitative<br />
  5. 5. Redundant Cues<br />
  6. 6. Trumbo’s Principles<br />Ordered values should be represented by ordered colors<br />Significantly different levels should be given significantly different colors<br />
  7. 7. Height Field<br />
  8. 8. Isocontours<br />
  9. 9. Marching Triangles<br />
  10. 10. Marching Cubes<br />
  11. 11. Marching Cubes<br />
  12. 12. Speedup<br />Octree<br />Extrema Graph<br />View Dependent Approach<br />
  13. 13. Direct Volume Rendering<br />What if we want to see multiple layers of data?<br />
  14. 14. Optical Models<br />
  15. 15. Optical Models<br />Maximum Intensity Projection<br />Absorption<br />Absorption and Emission<br />
  16. 16. Transfer Functions<br />
  17. 17. Isosurfacev.s Volume Rendering<br />Isosurface: hard, binary<br />Volume Rendering: soft, noisy<br />
  18. 18. Vector Fields<br />
  19. 19. Streamlines<br />
  20. 20. LIC<br />
  21. 21. LIC<br />
  22. 22. 3D Vector Fields<br />
  23. 23. Critical Points<br />
  24. 24. Information Visualization<br />
  25. 25. Multivariate Data<br />
  26. 26. Hierarchical Data<br />
  27. 27. Hierarchical Data<br />
  28. 28. Map Data<br />
  29. 29. Social Data<br />
  30. 30. Acknowledgement<br />Charles Hansen, University of Utah<br />Claudio Silva, University of Utah<br />Carlos Scheidegger, AT&T<br />IBM Manyeyes<br />

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