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(1/30: The visualization pipeline)
(2/13: Plotting)
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== 2/13: Plotting ==  
== 2/13: Plotting ==  
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Lecturer:  
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Lecturer: Claudio
Topics: Simple Plotting Methods:  Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others.  Advanced Plotting Methods:  Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.
Topics: Simple Plotting Methods:  Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others.  Advanced Plotting Methods:  Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.
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Notes:  
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Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]
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Slides:  
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Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]
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Vistrails:  
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Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory).
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Further Reading:   
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Further Reading:
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* The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.
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* Visualizing Data.  William S. Cleveland, Hobart Press, 1993.
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* The Visual Display of Quantitative Information.  Edward R. Tufte, Graphics Press, 2001.
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* Visual Explanations: Images and Quantities, Evidence and Narrative.  Edward R. Tufte, Graphics Press, 2997.
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* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]
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* [http://en.wikipedia.org/wiki/Correlation Correlation]
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* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]
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* [http://en.wikipedia.org/wiki/Box_plot Box Plots]
==  2/20:  NO CLASS (President's Day) ==
==  2/20:  NO CLASS (President's Day) ==

Revision as of 15:03, 24 February 2012

Contents

1/23: Introduction to visualization

Lecturer: Claudio

Topics: Scientific Visualization

Notes: lec01-notes.pdf

Slides: TBA

Animations: NCSA storm animation

Further reading:

(Optional reading) Provenance for Computational Tasks: A Survey

(Optional reading) Provenance for Visualizations: Reproducibility and Beyond, C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.

1/30: The visualization pipeline

Lecturer: Huy Vo

Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.

Notes: lec02-notes.pdf

Slides: dataflow.pdf

Further reading:

CMake Tutorial

2/6: Modeling Data for Visualization

Lecturer: Claudio Silva

Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms

Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem)

Notes: modeling data

Slides: processing.ppt

Further reading:

Basic Signal Processing

Surface Simplification Using Quadric Error Metrics

(Optional Reading) A Memory Insensitive Technique for Large Model Simplification

(Optional Reading) Quadric-based Simplification in any Dimension

http://en.wikipedia.org/wiki/Least_squares

(Optional Reading) Robust Moving Least-squares Fitting with Sharp Features

(Optional Reading) Optimal Bandwidth Selection for MLS Surfaces

2/13: Plotting

Lecturer: Claudio

Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.

Notes: PlottingNotes.pdf

Slides: Plotting1.pdf and Plotting2.pdf

Vistrails: PlottingVistrails.zip - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory).

Further Reading:

  • The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.
  • Visualizing Data. William S. Cleveland, Hobart Press, 1993.
  • The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.
  • Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.

2/20: NO CLASS (President's Day)

2/27: Color and Human Perception

Lecturer:

Topics: Color Science; Color spaces; Color Blindness; Color maps; Tone mapping

Notes:

Slides:

Links:

3/5 2D Visualization Techniques

Lecturer:

Topics: 2-D contours, marching quads, marching tris; Color mapping; height fields; NPR; 2-D vector fields, div, grad, curl in 2D; Steady vs Unsteady flows; Glyphs; 2-D streamlines, streaklines, pathlines

Slides:

Notes:

Vistrails:

3/12 NO CLASS (Spring Break)

3/19 Volume Visualization

Lecturer:

Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours

Slides:

References:

3/26 Volume Visualization

Lecturer:

Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification

Slides:

Notes:

Vistrails:

References:

4/2 Midterm

4/9 Vector & Tensor Visualization

Lecturer:

Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points

Slides:

References:

4/16: Information Visualization

Lecturer:

Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples

Slides:

Links:

4/23: Information Visualization

Lecturer:

Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples

Slides:

Links:

5/7: Information Visualization

Lecturer:

Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples

Slides:

Links:

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