Lecture 1 Introduction

Slides: pdf
Reading (Recreational):

• E.R. Tufte, The Visual Display of Quantitative Information, Graphics Press, 2nd edition, 2001. (local link)

• Chapter 1, Tamara Munzner, "Visualization Design and Analysis: Abstractions, Principles, and Methods," AK Peters, 2014; (local link)

Lecture 1b Inspiration

On your own, please listen to these inspiring lectures:

• Hans Rosling at TED 2006 and TED 2007
• Robert Krulwich at RadioLab

Lecture 2 Design Principles

Slides: pdf
Reading (Must):

• E.R. Tufte, The Visual Display of Quantitative Information, Graphics Press, 2nd edition, 2001. (local link)

• Robin Williams, "The non-designers design book design and typographic principles for the visual novice," Peachpit Press, 2004;
• Robin Williams, "The non-designer's presentation book principles for effective presentation design," Peachpit Press, 2010;
• Stephen Few, Show me the numbers : designing tables and graphs to enlighten, Analytics Press, 2004.

Lecture 3 Visualization Process

Slides: pdf
Reading (Must):

• J. Heer, S.K. Card, J.A. Landay, "prefuse: a toolkit for interactive information visualization," CHI 2005; see demo.avi (local link)

• Jarke J. van Wijk, "The Value of Visualization," IEEE Visualization 2005.

Lecture 4 Data Types, Semantics and Tasks

Slides: pdf
Reading (Must):

• Chapter 3+4 (Data+Task abstraction), Tamara Munzner, "Visualization Design and Analysis: Abstractions, Principles, and Methods," AK Peters, 2014; (local link)
• Ben Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations," 1996 IEEE Symposium on Visual Languages, 1996

• Chapter 5 (Basic Data Representation): Schroeder et al., The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, Kitware, Clifton Park (local link)
• Chapter 3 (A Survey of Grid Generation Methodologies and Scientific Visualization Efforts): Nielson et al, Scientific Visualization, IEEE Computer Society Press, Los Alamitos, 1997, (local link)
• R.Amar, J.Eagan, J.Stasko, "Low-level components of analytic activity in information visualization,", InfoVis 2005.
• S.S. Stevens, "On the Theory of Scales of Measurement," Science, New Series, Vol. 103, No. 2684 (Jun. 7, 1946), pp. 677-680

Lecture 5 Visual Encoding Principles

Slides: pdf
Reading (Must):

• Chapter 5 (Visual Encoding Principles), Tamara Munzner, "Visualization Design and Analysis: Abstractions, Principles, and Methods," AK Peters, 2014; (local link)

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Chapter 4: Color
  • Chapter 5: Visual Attention and Information that Pops Out
• Margaret S. Livingstone: What Art can tell us about the brain (Vis 2008 keynote)
• J. Mackinlay, "Automating the design of graphical presentations of relational information", ACM ToG, 5(2), 110-141, 1986
• Chris Stolte, Diane Tang, Pat Hanrahan, "Polaris: a system for query, analysis, and visualization of multidimensional databases," Commun. ACM, ACM, 2008, 51, 75-84. (link to older version).
• Chapter 1 (Overview of Visualization): Johson+Hansen, The Visualization Handbook, (local link)

Visualization Critiques

Going through the results of assignment 1.
Assignments: Assignment 2 - Due April 28

Lecture 6 Scalar Data

Slides: pdf
Reading (Must):

• Engel et al., "Real-time Volume Graphics", AK Peters, 2006; (Google Link), (local link)
  • Chapter 4 (Transfer Functions)
  • Chapter 10 (Transfer Functions Reloaded)
  • Chapter 5 (Local Volume Illumination)

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 9 (Multidimensional Transfer Functions for Volume Rendering)
• Marc Levoy, "Display of Surfaces from Volume Data", IEEE Computer Graphics and Applications, 8(3), 29-37, 1988

Lecture 7 Isosurfaces

Slides: pdf
Reading (Must):

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 2 (Accelerated Isosurface Extraction Techniques)

• Schroeder et al, The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, Kitware, Clifton Park
  • Chapter 6.2 (Fundamental Algorithms - Scalar Algorithms)
  • Chapter 9.1 (Advanced Algorithms - Scalar Algorithms)
• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 3 (Time-Dependent Isosurface Extraction)
• William E. Lorensen and Harvey E. Cline, Marching Cubes: A High Resolution 3D Surface Construction Algorithm, Computer Graphics (Proceedings of SIGGRAPH 87), 21 (4), pp. 163-169 (July 1987, Anaheim, California).

Lecture 8 Volume Rendering

Slides: pdf
Reading (Must):

• Engel et al., "Real-time Volume Graphics", AK Peters, 2006; (Google Link), (local link)
  • Chapter 1 (Theoretical Background and Basic Approaches)
  • Chapter 9 (Improving Image Quality)

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 7 (Overview of Volume Rendering)
  • Chapter 8 (Volume Rendering Using Splatting)
  • Chapter 10 (Pre-Integrated Volume Rendering)
  • Chapter 11 (Hardware-Accelerated Volume Rendering)
• Engel et al., "Real-time Volume Graphics", AK Peters, 2006; (Google Link), (local link 3), (local link 7)
  • Chapter 3 (Basic GPU-Based Volume Rendering)
  • Chapter 7 (GPU-Based Ray Casting)

Lecture 9 Vector Visualization

Slides: pdf
Reading (Must):

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 12 (Overview of Flow Visualization)

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 13 (Flow Textures)
  • Chapter 17 (Topological Methods for Flow Visualization)
• Chapter 14 (Particle Tracing Algorithms for 3D Curvilinear Grids): Nielson et al, Scientific Visualization, IEEE Computer Society Press, Los Alamitos, 1997,

Lecture 0X OpenGL

Slides: pdf
Reading:

• Reference for all versions: opengl.org
• For 1.1: The Red Book
• For 1.1: The Blue Book
• For 2.x: NeHe
• For 3.x: opengl-tutorial.org
• For 4.x: OGLdev

Lecture 10 Tensor Visualization

Slides: pdf
Reading (Must):

• Johson+Hansen, The Visualization Handbook,
• Chapter 16 (Diffusion Tensor MRI Visualization)

• Johson+Hansen, The Visualization Handbook,
• Chapter 15 (Oriented Tensor Reconstruction)

Lecture 11 Single View Methods

Slides: pdf
Reading (Must):

• Chapter 7.1-7.3 (Making Views), Tamara Munzner, "Visualization Design and Analysis: Abstractions, Principles, and Methods," AK Peters, 2014; (local link)

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Chapter 3: Lightness, brightness, contrast, and constancy
  • Chapter 4: Color
  • Chapter 5: Visual Attention and Information that Pops Out
  • Chapter 6: Static and Moving Patterns
• E.R. Tufte, Envisioning Information, Graphics Press, 1990. (local link)
  • Chapter 2: Micro/Macro Readings
  • Chapter 4: Small Multiples
  • Chapter 5: Color and Information
• Mareen C. Stone: A Field Guide to Digital Color
• R. A. Becker, W. S. Cleveland, and M. J. Shyu The Visual Design and Control of Trellis Display, Journal of Computational and Statistical Graphics, 5:123-155, 1996.
• Daniel A. Keim and Hans-Peter Kriegel, VisDB: Database Exploration using Multidimensional Visualization, IEEE CG&A, 1994
• Herman, Melancon, Marshall, Graph Visualisation and navigation in information visualisation: a survey, IEEE Transactions on Visualization and Computer Graphics, 6(1), pp. 24-44, 2000
• Frank van Ham, Using Multilevel Call Matrices in Large Software Projects, Proc InfoVis 2003, pp. 227-232.
• Jack J. van Wijk and Huub van de Wetering, Cushion Treemaps, Proc InfoVis 1999, pp. 73-78
• A Visual Bibliography of Tree Visualization, Hans-Jörg Schulz, InfoVis 2010 Best Poster.
• Ka-Ping Yee, Danyel Fisher, Rachna Dhamija, and Marti Hearst, Animated Exploration of Graphs with Radial Layout, Proc InfoVis 2001. (see video)
• Yaniv Frishman and Ayellet Tal, Online Dynamic Graph Drawing Proc EuroVis 2007, 75-82. (see video)
• Frank van Ham and Bernice E. Rogowitz, Perceptual Organization in User-Generated Graph Layouts, IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2008), 14, 1333 -1339.
• Edward J. Wegman, Hyperdimensional Data Analysis Using Parallel Coordinates, Journal of the American Statistical Association, Vol. 85, No. 411 (Sep., 1990), pp. 664-675.
• Richard Holbrey, Dimension Reduction Algorithms for Data Mining and Visualization, Techreport 2006.

Lecture 12 Multiple View Methods

Slides: pdf
Reading (Must):

• Chapter 7.4-7.6 (Making Views), Tamara Munzner, "Visualization Design and Analysis: Abstractions, Principles, and Methods," AK Peters, 2014; (local link)

• Barbara Tversky, Julie Morrison, Mireille Betrancourt, Animation: Can It Facilitate?, International Journal of Human Computer Studies 57:4, pp 247-262, 2002.
• E.R. Tufte, Envisioning Information, Graphics Press, 1990. (local link)
  • Chapter 3: Layering and Separation
  • Chapter 6: Narratives of Space and Time

Lecture 13 Item Reduction Methods

Slides: pdf
Reading (Must):

• Chapter 8 (Reducing Items and Attributes), Tamara Munzner, "Visualization Design and Analysis: Abstractions, Principles, and Methods," AK Peters, 2014; (local link)

• Ben Bederson, and James D Hollan, Pad++: A Zooming Graphical Interface for Exploring Alternate Interface Physics, Proc UIST 94.
• George Furnas and Ben Bederson, Space-Scale Diagrams: Understanding Multiscale Interfaces, Proc SIGCHI '95.
• Takeo Igarashi and Ken Hinckley, Speed-Dependent Automatic Zooming for Browsing Large Documents, Proc. UIST'00, pp. 139-148.
• Jack J. van Wijk and Wim A.A. Nuij, Smooth and Efficient Zooming and Panning., Proc. InfoVis 2003, p. 15-22
• Andy Cockburn, Amy Karlson, and Benjamin B. Bederson, A review of overview+detail, zooming, and focus+context interfaces, ACM Computing Surveys 41(1), 2008.
• Munzner, H3: Laying Out Large Directed Graphs in 3D Hyperbolic Space, Proc InfoVis 97.
• Lamping and Rao, The Hyperbolic Browser: A Focus + Context Technique for Visualizing Large Hierarchies, Proc SIGCHI '95.
• Ramana Rao and Stuart K. Card, The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus + Context Visualization for Tabular Information SIGCHI '94, pp. 318-322, 1994.
• Leung and Apperley, A review and taxonomy of distortion-oriented presentation techniques, ACM Transactions on Computer-Human Interaction, Vol. 1, No. 2, June 1994, pp. 126-160.

Lecture 14 Attribute Reduction Methods

Slides: pdf
Reading (Must):

• Chapter 8 (Reducing Items and Attributes), Tamara Munzner, "Visualization Design and Analysis: Abstractions, Principles, and Methods," AK Peters, 2014; (local link)

• Yang, Peng, Ward, Rundensteiner, Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration Of High Dimensional Datasets, InfoVis 2003
• Richard Holbrey, Dimension Reduction Algorithms for Data Mining and Visualization, Techreport 2006.

Lecture 15 Evaluation
Guest lecture by Michael Sedlmair

Slides: pdf
Reading (Must):

• Carpendale, Evaluating Information Visualizations, Chapter in book "Information Visualization: Human-Centered Issues and Perspectives", pp. 19-45, 2008.

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Appendix C: The perceptual evaluation of visualization techniques and systems
• Ben Shneiderman, Catherine Plaisant, Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies, BELIV '06 Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization.
• Lam, Bertini, Isenberg, Plaisant, Carpendale: Empirical Studies in Information Visualization: Seven Scenarios, IEEE Trans. on Visualization and Computer Graphics, 18(9), pp.:1520 - 1536
• Saraiya, North, Duca: An Insight-Based Methodology for Evaluating Bioinformatics Visualizations, IEEE Trans. on Visualization and Computer Graphics, 11(4), pp.:443 - 456
• Sedlmair, Meyer, Munzner: Design Study Methodology: Reflections from the Trenches and the Stacks, IEEE Trans. on Visualization and Computer Graphics, 18(12), pp.:443 - 456

Lecture 16 Time data
Guest lecture by Wolfgang Aigner

Slides: pdf; pdf++
Reading (Must):

• Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski, Visualization of Time-Oriented Data, Human-Computer Interaction, 1st Edition, Springer, London, UK, 2011
  • Section 4 - 4.1: p.69 - 83 (local link)

• Todd T. Elvins, VisFiles: Presentation Techniques for Time-Series Data, SIGGRAPH Comput. Graph., 31(2):14 16, 1997.
• Sonia Fernandes Silva, Tiziana Catarci, Visualization of Linear Time-Oriented Data: as Survey, In Proceedings of the 1st International Conference on Web Information Systems Engineering, pp. 310- 319. IEEE, 2000.
• Wolfgang Aigner, Silvia Miksch, Wolfgang Müller, Heidrun Schumann, Christian Tominski, Visual Methods for Analyzing Time-Oriented Data, Transactions on Visualization and Computer Graphics, Vol. 14, No. 1, p. 47-60, IEEE Computer Society Press, 2008.
• Wolfgang Aigner, Silvia Miksch, Wolfgang Müller, Heidrun Schumann, Christian Tominski, Visualizing Time-Oriented Data - A Systematic View, Computers and Graphics, Vol. 31, No. 3, p. 401-409, Elsevier, June, 2007.
• The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data, http://survey.timeviz.net/
• Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski, "Visualization of Time-Oriented Data", Human-Computer Interaction, 1st Edition, Springer, London, UK, 2011.

Student Presentations 1 (Jun 06)

• Julian Kühnel - Animation: slides
  • Animation: Can It Facilitate? Barbara Tversky, Julie Morrison, Mireille Betrancourt, International Journal of Human Computer Studies 57:4, pp 247-262, 2002.
  • Principles of Traditional Animation Applied to Computer Animation, John Lasseter, Proceedings of SIGGRAPH 87, Computer Graphics, 21(4), pp. 35-44, July 1987. ( Illustrations of 11 Principles)
  • chosen: Interactive Visualization of Genealogical Graphs, Michael J. McGuffin, Ravin Balakrishnan. Proc. InfoVis 2005, pp 17-24. (movie)
  • chosen: EdgeLens: An Interactive Method for Managing Edge Congestion in Graphs, Nelson Wong, M. Sheelagh T. Carpendale, Saul Greenberg, Proc. InfoVis03, pp 51-58. (movie)
• Michael Trosin - Interaction: slides
  • A Framework of Interaction Costs in Information Visualization, Heidi Lam, Proc. InfoVis 2008.
  • Overview Use in Multiple Visual Information Resolution Interfaces, Heidi Lam, Tamara Munzner, and Robert Kincaid, Proc. InfoVis 2007.
  • chosen: Toward a Deeper Understanding of the Role of Interaction in Information Visualization, Ji Soo Yi, Youn ah Kang, John T. Stasko and Julie A. Jacko, Proc. InfoVis 2007.
  • Empirical Comparison of Dynamic Query Sliders and Brushing Histograms, Qing Li and Chris North, Proc. InfoVis 2003.
  • chosen: The Attribute Explorer: information synthesis via exploration, Robert Spence and Lisa Tweedie, Interacting with Computers, Vol. 11, pp. 137-146, 1998.
  • Cognitive costs of zooming versus using multiple windows, Matthew D. Plumlee and Colin Ware, ACM Trans. Applied Perception (TAP) 13(2):1-31, 2006.
  • Effective View Navigation, George W. Furnas, Proc. SIGCHI 97, pp. 367-374
  • Melange: Space Folding for Multi-Focus Interaction, Niklas Elmqvist, Nathalie Henry, Yann Riche, Jean-Daniel Fekete, IEEE Transactions on Visualization and Computer Graphics, 16(3):468-483, 2010.
  • Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines, Niklas Elmqvist and Jean-Daniel Fekete, IEEE Trans. on Visualization and Computer Graphics, Vol. 16, No. 3, May/June 2010, pp. 439-454.
  • Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations, John Stasko and Eugene Zhang, Proc. InfoVis 2000.
  • High interaction graphics, Stephen G. Eick and Graham J. Wills, European Journal of Operational Research, 81:445-459, 1995.
• Uygar Senocak - Uncertainty: slides
  • chosen: ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation, Ahmed Saad, Torsten Möller, Ghassan Hamarneh, EuroVis 2010. (Video)
  • chosen: Statistically quantitative volume visualization, Joe M. Kniss, Robert Van Uitert, Abraham Stephens, Guo-Shi Li, Tolga Tasdizen, Charles Hansen, Proceedings of IEEE Visualization (2005), pp. 287-294.
  • Point-based probabilistic surfaces to show surface uncertainty, G. Grigoryan, Penny Rheingans, IEEE Transaction on Visualization and Computer Graphics 10, 5 (2004), 564-573.
  • Uncertainty visualization in medical volume rendering using probabilistic animation, Clas Lundstrom, Patrick Ljung, Anders Persson, Anders Ynnerman, IEEE Transaction on Visualization and Computer Graphics 13, 6 (2007), 1648–1655.
  • Flow-based Scatterplots for Sensitivity Analysis, Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma Proc. IEEE Conference on Visual Analytics Science and Technology 2010.

Student Presentations 2 (Jun 11)

• Haris Becic - Music Vis: slides
  • Listening Factors: A Large-Scale Principal Components Analysis of Long-Term Music Listening Histories, Baur, Büttgen, and Butz, CHI 2012.
  • Rush: Repeated Recommendations on Mobile Devices, Baur, Boring, and Butz, International Conference on Intelligent User Interfaces (IUI 2010).
  • chosen: One-Touch Access to Music on Mobile Devices, Dominik Schnitzer, Tim Pohle, Peter Knees, and Gerhard Widmer, Proceedings of the 6th International Conference on Mobile and ubiquitous multimedia, pp. 103-109, 2007
  • A Visual Interface to a Music Database, Robert St. Amant, James E. Blair, Patrick Barry, Y. Bentor, Christopher G. Healey, In Proceedings Advanced Visual Interfaces 2002 (Trento, Italy, 2002), pp. 85-88.
  • Mapping Music In The Palm Of Your Hand, Rob van Gulik, Fabio Vignoli, Huub van de Wetering, In Proceedings of ISMIR 2004.
  • Visualizing Musical Structure and Rhythm via Self-Similarity, Jonathan Foote and Matthew Cooper International Computer Music Conference Proceedings 2001.
  • chosen: Songexplorer: a tabletop application for exploring large collections of songs, C. F. Julia and S. Jorda, In Proc. of ISMIR 2009.
• Cemil Seker - Social Network Vis: slides
  • Designing for Social Data Analysis, Martin Wattenberg and Jesse Kriss, IEEE Trans. Visualization and Computer Graphics, 12(4):549-557, 2006.
  • Artifacts of the Presence Era: Using Information Visualization to Create an Evocative Souvenir, Fernanda Viegas, Ethan Perry, Ethan Howe, and Judith Donath, Proc. InfoVis 2004, p 105-111.
  • The Streams of Our Lives: Visualizing Listening Histories in Context, Dominikus Baur, Frederik Seiffert, Michael Sedlmair, and Sebastian Boring, IEEE TVCG (Proc. InfoVis 2010) 16(6):1119-1128, 2010.
  • chosen: Vizster: Visualizing Online Social Networks, Jeffrey Heer and Danah Boyd, InfoVis 2005. (Video)
  • Visualizing Social Groups, Linton C. Freeman, American Statistical Association, 1999 Proceedings of the Section on Statistical Graphics, 2000, 47-54.
  • chosen: Visualizing Social Networks, Linton C. Freeman, Journal of Social Structure, 1, 2000, (1).
  • Social Network Fragments, Chap 7, Danah Boyd, MS Thesis "Faceted Id/entity: Managing representation in a digital world".
  • Online Dynamic Graph Drawing, Yaniv Frishman and Ayellet Tal, Proc EuroVis 2007, 75-82.
• Christopher Adrigan - Transfer Functions: slides
  • chosen: Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets, Joe Kniss, Gordon Kindlmann, and Charles Hansen, IEEE Visualization, pp. 255-262, 2001
  • Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications, Gordon Kindlmann, Ross Whitaker, Tolga Tasdizen, Torsten Möller Proceedings of IEEE Visualization 2003 (Vis03), pp. 513-520, Seattle, October 2003.
  • The contour spectrum, Chandrajit Bajaj, Valerio Pascucci, and Daniel Schikore, Proceedings of IEEE Visualization 1997, pages 167 - 173.
  • chosen: The transfer function bake-off, Hanspeter Pfister, Bill Lorensen, Chandrajit Bajaj, Gordon Kindlmann, Will Schroeder, Lisa S. Avila, Raghu K. Machiraju, and Jinho Lee, CG&A, May/June 2001 (vol. 21 no. 3), pp. 16-22
  • Fast detection of meaningful isosurfaces for volume data visualization, Vladimir Pekar, Rafael Wiemker, Daniel Hempel, Proceedings of IEEE Visualization 2001, pages 223 - 230.
  • Mastering Transfer Function Specification by using VolumePro Technology Andreas H. König and Eduard Gröller, Proceedings of the 17th Spring Conference on Computer Graphics (SCCG'01), Budmerice, Slovakia, IEEE, April 2001, pp. 279-286
  • Curvature-Based Transfer Functions for Direct Volume Rendering, Jiri Hladuvka, Andreas H. König and Eduard Gröller, In Spring Conference on Computer Graphics 2000, vol. 16, 58-65.
• Julian Holzmüller - Colour in Science: slides
  • Evaluation of Artery Visualizations for Heart Disease Diagnosis, Borkin, Gajos, Peters, Mitsouras, Melchionna, Rybicki, Feldman, Pfister, InfoVis 2011.
  • Representing Colors as Three Numbers, Maureen Stone, Computer Graphics and Applications, 25(4), July 2005, pp. 78-85.
  • chosen: How Not to Lie with Visualization, Bernice E. Rogowitz and Lloyd A. Treinish, Computers In Physics 10(3) May/June 1996, pp 268-273.
  • chosen: Why Should Engineers and Scientists Be Worried About Color? Bernice E. Rogowitz and Lloyd A. Treinish.
  • Color use guidelines for data representation C. Brewer, 1999.
  • Face-based Luminance Matching for Perceptual Colormap Generation, Gordon Kindlmann, Erik Reinhard, and Sarah Creem, Proc. Vis 2002, [Software]
  • Rainbow Color Map (Still) Considered Harmful, David Borland and Russell M. Taylor II, CG&A, March/April 2007 (vol. 27 no. 2), pp. 14-17

Student Presentations 3 (Jun 13)

• Kastor Felsner - Continuous Scatterplots: slides
  • chosen: Continuous scatterplots, Sven Bachthaler, Daniel Weiskopf, Proceedings IEEE Visualization 2008.
  • Discontinuities in Continuous Scatterplots, Dirk Lehmann and Holger Theisel, Proceedings IEEE Visualization 2010.
  • chosen: Progressive Splatting of Continuous Scatterplots and Parallel Coordinates, Julian Heinrich, Sven Bachthaler, Daniel Weiskopf, EuroVis 2011.
  • Features in Continuous Parallel Coordinates, Dirk Lehmann and Holger Theisel, Proceedings IEEE Visualization 2011.
• Olzvoi Bayasgalan - Parameter Spaces: slides
  • chosen: Vismon: Facilitating Analysis of Trade-Offs, Uncertainty, and Sensitivity In Fisheries Management Decision Making, Maryam Booshehrian, Torsten Möller, Randall M. Peterman, Tamara Munzner, EuroVis 2012. (Video + Source)
  • chosen: Tuner: Principled Parameter Finding for Image Segmentation Algorithms Using Visual Response Surface Exploration, Thomas Torsney-Weir, Ahmed Saad, Torsten Möller, Britta Weber, Hans-Christian Hege, Jean-Marc Verbavatz, Steven Bergner, Proceedings Visualization 2011. (Video)
  • Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design, Stefan Bruckner, Torsten M&oml;ller, Proceedings Visualization 2010. (Video)
  • World Lines, Jürgen Waser, Raphael Fuchs, Hrvoje Ribičić, Benjamin Schindler, Günter Blöschl, Eduard Gröller, Proceedings Visualization 2010.
  • HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation, Harald Piringer, Wolfgang Berger, Jürgen Krasser, Computer Graphics Forum (EuroVis 2010).
  • The grand tour: a tool for viewing multidimensional data, Daniel Asimov, SIAM Journal on Scientific and Statistical Computing, Volume 6 Issue 1, Jan. 1985
  • Design galleries: a general approach to setting parameters for computer graphics and animation, J. Marks et al., SIGGRAPH '97.
• Carsten Zuehlsdorf - Bioinformatics Vis: slides
  • Visualizing Biological Data, Nature Methods Supplement, March 2010, Vol 7 Num 3s.
    • Visualizing biological data - now and in the future. O'Donoghue et al.
    • Visualizing genomes: techniques and challenges. Nielsen et al.
    • Visualization of multiple alignments, phylogenies and gene family evolution. Proctor et al.
    • Visualization of image data from cells to organisms. Walter et al.
    • Visualization of macromolecular structures. O'Donoghue et al.
    • Visualization of omics data for systems biology. Gehlenborg et al.
  • Bioinformatics Visualization, Information Visualization Journal special issues, Vol 4 No 3, Sep 2005. ACM DL link,
    • Animated interval scatter-plot views for the exploratory analysis of large-scale microarray time-course data, Paul Craig, Jessie B. Kennedy, Andrew Cumming. p 149-163.
    • A Framework for Visualization of Microarray Data and Integrated Meta Information, Nils Gehlenborg, Janko Dietzsch, Kay Nieselt. p 164-175.
    • Exploratory visualization of array-based comparative genomic hybridization, Robert Kincaid, Amir Ben-Dor, Zohar Yakhini. p. 176-190.
    • Visualizing biological pathways: requirements analysis, systems evaluation and research agenda, Purvi Saraiya, Chris North, Karen Duca, p 191-205
    • Extending taxonomic visualisation to incorporate synonymy and structural markers, Martin Graham, Jessie B. Kennedy, p 206-223.
    • A system for visualizing and analyzing near-optimal protein sequence alignments, Michael E. Smoot, Ellen J. Bass, Stephanie A. Guerlain, William R. Pearson. p. 224-237.
  • chosen: Pathline: A Tool for Comparative Functional Genomics, Miriah Meyer, Bang Wong, Tamara Munzner, Mark Styczynski and Hanspeter Pfister, EuroVis 2010.
  • ABySS-Explorer: Visualizing Genome Sequence Assemblies, C.B. Nielsen, S.D. Jackman, I. Birol, S.J.M. Jones, InfoVis 2009.
  • chosen: MizBee: A Multiscale Synteny Browser, Miriah Meyer, Tamara Munzner, and Hanspeter Pfister, InfoVis 2009.
  • Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context, Aaron Barsky, Tamara Munzner, Jennifer L. Gardy, and Robert Kincaid, IEEE Transactions on Visualization and Computer Graphics (Proc. Vis/InfoVis 2008) 14(6) (Nov-Dec) 2008, pp. 1253-1260.
  • Interactive Exploration of Multidimensional Microarray Data: Scatterplot Ordering, Gene Ontology Browser, and Profile Search, Jinwook Seo and Ben Shneiderman. University of Maryland Compouter Science Department Technical Report 4486 (HCIL-2003-25), 2003.
  • GeneVis: Visualization Tools for Genetic Regulatory Network Dynamics, C.A.H. Baker, M.S.T. Carpendale, M. Surette, P. Prusinkiewicz. Proc. Visualization 02, pages 243-250.

Student Presentations 4 (Jun 25)

• Philipp Hemmer - Network Vis: slides
  • Visualizing Network Data, Richard A. Becker, Stephen G. Eick, Allan R. Wilks, IEEE Trans. Visualization and Computer Graphics, Vol 1(1), March 1995, pp 16-28.
  • Visualizing Large-Scale Telecommunication Networks and Services, Eleftherios Koutsofios, Stephen C. North, Russell Truscott, Daniel A. Keim, Proc IEEE Visualization 1999, pp 457-461.
  • chosen: Countering Security Analyst and Network Administrator Overload Through Alert and Packet Visualization, G. Conti, K. Abdullah, J. Grizzard, J. Stasko, J. Copeland, M. Ahamad, H. Owen and C. Lee, IEEE Computer Graphics and Applications (CG&A), March 2006.
  • Mapping and Visualizing the Internet, Bill Cheswick, Hal Burch, and Steve Branigan, USENIX, San Diego, CA, June 2000.
  • chosen: OverFlow: An Overview Visualization for Network Analysis, J. Glanfield, S. Brooks, T. Taylor, D. Paterson, C Smith, C. Gates, J. McHugh, VizSec 2009.
  • Countering Security Information Overload Through Alert and Packet Visualization, G. Conti, K. Abdullah, J. Grizzard, J. Stasko, J. Copeland, M. Ahamad, H. Owen and C. Lee. IEEE CG&A, 2006.
• Nick Müller - Software Vis: slides
  • chosen: Visualizing Compiled Executables for Malware Analysis, Daniel A. Quist and Lorie M. Liebrock, VizSec 2009.
  • chosen: Visualizing Application Behavior on Superscalar Processors, Chris Stolte, Robert Bosch, Pat Hanrahan, and Mendel Rosenblum, Proc. InfoVis 1999
  • Software Visualization in the Large, Thomas A. Ball and Stephen G. Eick, IEEE Computer 29(4):33-43, 1996
  • Execution Patterns in Object-Oriented Visualization, Wim De Pauw, David Lorenz, John Vlissides, and Mark Wegman, Proc. Conference on Object-Oriented Technologies and Systems (COOTS '98)
  • Strata-Various : Multi-Layer Visualization of Dynamics in Software System Behavior, Doug Kimelman, Bryan Rosenburg, Tova Roth. Proc. Visualization 1994
  • CVSscan: Visualization of Code Evolution, Lucian Voinea, Alex Telea, and Jarke J. van Wijk, Proc. SoftVis 2005, p 47-56.
  • Visually Encoding Program Test Information to Find Faults in Software, James Eagan and Mary Jen Harrold and James A. Jones and John Stasko, Proc InfoVis 2001 pp. 33-36.
  • Visualization of Program-Execution Data for Deployed Software, Alessandro Orso, James Jones, Mary Jean Harrold, Proc. of the ACM Symp. on Software Visualization, San Diego, CA, June 2003, pages 67--76.
• Raphael Mitsch - Tree / Hierarchy: slides
  • Interactive Visualization of Genealogical Graphs, Michael J. McGuffin, Ravin Balakrishnan. Proc. InfoVis 2005, pp 17-24.
  • Topological Fisheye Views for Visualizing Large Graphs, Emden Gansner, Yehuda Koren and Stephen North, IEEE Trans. on Visualization and Computer Graphics, 11(4), p 457-468, 2005
  • Visual Exploration of Multivariate Graphs, Martin Wattenberg, Proc. CHI 2006.
  • Multiscale Visualization of Small World Networks, David Auber, Yves Chiricota, Fabien Jourdan, Guy Melancon, Proc. InfoVis 2003
  • EdgeLens: An Interactive Method for Managing Edge Congestion in Graphs, Nelson Wong, M. Sheelagh T. Carpendale, Saul Greenberg, Proc. InfoVis03, pp 51-58.
  • GrouseFlocks: Steerable Exploration of Graph Hierarchy Space, Daniel Archambault, Tamara Munzner, and David Auber, IEEE Trans. Visualization and Computer Graphics 14(4):900-913 2008.
  • Polyarchy Visualization: Visualizing multiple intersecting hierarchies, George G. Robertson, Kim Cameron, Mary Czerwinski, and Daniel Robbins, Information Visualization, 1(1), p.50-65, 2002.
  • User Experiments with Tree Visualization Systems, Alfred Kobsa, Proc InfoVis 2004.
  • chosen: Botanical Visualization of Huge Hierarchies, Ernst Kleiberg, Huub van de Wetering, and Jarke J. van Wijk Proc. InfoVis 2001, p 87-94.
  • chosen: Cone Trees: Animated 3D Visualizations of Hierarchical Information, George G. Robertson, Jock D. Mackinlay, Stuart K. Card, SIGCHI 1991
  • Multitrees: Enriching and reusing hierarchical structures, George W. Furnas and Jeff Zacks, SIGCHI 1994 , pp 330-336.
  • H3: Laying Out Large Directed Graphs in 3D Hyperbolic Space, Tamara Munzner, Proc InfoVis 97.
  • Cushion Treemaps. Jack J. van Wijk and Huub van de Wetering, Proc InfoVis 1999, pp 73-78.
• Michael Gruber - High-Dimensional Data Analysis:
  • A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data, Seo and Shneiderman, Information Visualization, Vol. 4, No. 2, pp. 99-113, 2005.
  • Coordinating Computational and Visualization Approaches for Interactive Feature Selection and Multivariate Clustering, Guo, Information Visualization, 2(4): 232-246.
  • chosen: Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets, Jing Yang, Wei Peng, Matthew O. Ward and Elke A. Rundensteiner, Proc. IEEE Symposium on Information Visualization 2003, pp 105 - 112.
  • Value and relation display for interactive exploration of high dimensional datasets, J. Yang, A. Patro, S. Huang, N. Mehta, M. Ward, and E. Rundensteiner, Proc. IEEE Symposium on Information Visualization, pp. 73--80, 2004.
  • Clutter reduction in multi-dimensional data visualization using dimension reordering, W. Peng, M. Ward, and E. Rundensteiner, Proc. IEEE Symposium on Information Visualization, pp. 89--96, 2004.
  • Hifocon: Object and Dimensional Coherence and Correlation in Multidimensional Visualization, Soon Tee Teoh and Kwan-Liu Ma, Proc. International Symposium on Visual Computing 2005, pp. 235-242.
  • Polaris: a system for query, analysis, and visualization of multidimensional databases, Stolte, C., Tang, D., and Hanrahan, P. Commun. ACM 51, 11 (Nov. 2008), 75-84.
  • Selecting good views of high-dimensional data using class consistency, Mike Sips, Boris Neubert, John P. Lewis, Pat Hanrahan, Computer Graphics Forum (Proc. EuroVis'09), Volume 28, Issue 3, pages 831-838, June 2009.
  • chosen: DimStiller: Workflows for dimensional analysis and reduction, Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, Torsten Möller, Proceedings of the 5th IEEE Conference on Visual Analytics in Science and Technology (VAST) 2010, pp. ???--???, October 2010. (Supplementary Video)
  • Dimensional Anchors: a Graphic Primitive for Multidimensional Multivariate Information Visualizations, Patrick Hoffman, Georges Grinstein, and David Pinkney, Proc. Workshop on New Paradigms in Information Visualization and Manipulation, Nov. 1999, pp. 9-16.