# SciVisFall2007/Schedule

## 8/21: Introduction to visualization

Lecturer: Claudio

Topics: Scientific Visualization

Notes: lec01-notes.pdf

Slides: lec01.pdf

Visualizing Spatial and Temporal Variability in Coastal Observatories, W. Herrera-Jimenez, W. Correa, C. Silva, and A. Baptista, IEEE Visualization 2003.

## 8/23: The visualization pipeline

Lecturer: Claudio

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: lec02.pdf

VisTrails: During this class, we built a pipeline equivalent to the cone.tcl (see class slides). Here is the vistrails file: cone.vt

Provenance for Visualizations: Reproducibility and Beyond, C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, to appear.

## 8/28: Modeling Data for Visualization

Lecturer: Carlos

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

Notes: TBA

Slides: .ppt file

There is no required reading for this lecture. The notes will be available shortly. The following papers are there for people that are looking to get more advanced material that will not be covered in class.

### Interpolation

Geodesic-loxodromes... This is the fancy interpolation for diffusion tensors I mentioned in class.

Bernstein polynomials These are the polynomials used for cubic Bezier curves that I mentioned in class.

#### Separability

Extensions of the Zwart-Powell Box spline... This is a recent paper that shows a class of trivariate reconstruction techniques that are not separable.

#### Tensors

Visualization and Analysis of Diffusion Tensor Fields Gordon Kindlmann's PhD. thesis, with everything you ever wanted to know about DTI. Section 2.1 has a good primer in tensor algebra.

## 8/30: Modeling Data for Visualization

Lecturer: Carlos

Topics: Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms

Notes: .pdf file. If you want to print these, you might want to wait for a week or two, until I finish polishing them.

Slides: .ppt file These slides include simplificatin algorithms, which I'll talk about next week.

Animations: TBA

## 9/4: Elementary Plotting Techniques

Lecturer: Steve

Topics: Principles of Graph Construction

Notes: PlottingNotes.pdf

Slides: Plotting1.pdf

Vistrails: See next lecture.

Further Reading: There is no required reading for this lecture. For those interested in more depth, the following books are very useful:

• 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.

## 9/6: Elementary Plotting Techniques

Lecturer: Steve

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: 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). If you don't have permission to write to this directory (CADE users), then unzip the file where you want. Just be aware that in this case the paths for the data files may not be correct for most vistrails and will need to be fixed before they will execute properly.

Further Reading: There is no required reading for this lecture. Some articles of interest:

## 9/11: Color and Human Perception

Lecturer: Claudio

Topics: Human vision system; Optical illusions

## 9/13: Color and Human Perception

Lecturer: Claudio

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

How Not to Lie with Visualization. B. Rogowitz and L. Treinish. Computers in Physics, 10, n.3, pp. 268-274, May/June 1996.

A Rule-based Tool for Assisting Colormap Selection. L. Bergman, B. Rogowitz and L. Treinish. IEEE Visualization '95, pp. 118-125, October 1995.

## 9/18: 2D Visualization Techniques

Lecturer: Carlos

Topics: 2-D contours, marching quads, marching tris; Color mapping; height fields; NPR

## 9/20: 2D Visualization Techniques

Lecturer: Carlos

Topics: 2-D vector fields, div, grad, curl in 2D; Steady vs Unsteady flows; Glyphs; 2-D streamlines; 2-D streaklines

## 9/25: Volume Vis

Lecturer: Claudio

Topics: Slicing; Contours; Marching algorithms

## 9/27: Volume Vis

Lecturer: Claudio

Topics: Accelerating structures; High-quality contours

## 10/2: Volume Vis

Lecturer: Steve

Topics: Direct volume rendering; optical models; Ray casting; Texture-based; Acceleration structures

## 10/4: Volume Vis

Lecturer: Steve

Topics: Unstructured techniques; ray casting; pt; zsweep; havs

## 10/16: Volume Vis

Lecturer: Steve

Topics: Transfer functions; function statistics (histograms); multi-dimensional; contour spectrum

## 10/23: Vector and Tensor Visualization

Lecturer: Carlos

Topics: Differential Geometry in 3D: Div, Grad, Curl; Revisit Unsteady vs. Steady flows; Streamribbons, surfaces, tubes, streamlines and streaklines

## 10/25: Vector and Tensor Visualization

Lecturer: Claudio

Topics: LIC; hyper LIC; Topology-based techniques

## 10/30: Simplification Techniques

Guest lecture: Yuan Zhou

## 11/1: Cosmology and EEG analysis

Guest lecture: Erik Anderson

## 11/6: Vector and Tensor Vis

Lecturer: Carlos

Topics: Glyphs; DTI techniques

## 11/8: Aesthetic Issues in Vis

Lecturer: Claudio

Topics: Volume Illustration and NPR

Lecturer: Steve

Topics: Tufte

Lecturer: Steve

Topics: Tufte

## 11/20: Information Visualization

Lecturer: Carlos

Topics: Parallel coordinates; Graph visualization

## 11/27: Information Visualization

Lecturer: Claudio

Topics: Hierarchical data vis; brushing; sizing text