Schedule

Week	Date	Tuesday	Thursday
1	Mar 04/06	Introduction pdf	Design Principles pdf
2	Mar 11/13	Vis Process pdf [prefuse]	Data Types, Semantics + Tasks pdf [Munzner Ch. 2+3]
3	Mar 18/20	Visual Encoding Principles pdf [Munzner Ch. 5]	Encode: Single Views (Space+Color) pdf [Munzner Ch. 7+8+9]
	Mar 23	Due: A1 (23:59) A1: solutions
4	Mar 25/27	Encode: Single Views (Space+Color) pdf [Munzner Ch. 7+8+9]	Facet: Multiple Views pdf [Munzner Ch. 10]
5	Apr 01/03	Reduce: Items and Attributes pdf [Munzner Ch. 11]	Embed: Focus+Context pdf [Munzner Ch. 12]
	Apr 06	Due: M1 -- summary + meeting
6	Apr 08/10	D3 Tutorial pdf zip [D3 Barchart-Tutorial (Part I, II and III)]	3D Scalar Data pdf [Handbook Ch. 1]
	Apr 14	Due: Presentations: Topic Signup
7	Apr 15/17	Ostern	Ostern
8	Apr 22/24	Ostern	Ostern
	Apr 26	Due: M2 -- Project proposal
9	Apr 29, May 01	Volume Rendering pdf [Real-Time Ch. 1]	Staatsfeiertag
	May 06	Due: A2 (09:45)
10	May 06/08	Vector Data pdf [Handbook Ch. 12]	Tensor Data pdf [Handbook Ch. 16]
11	May 13/15	presentations 1	presentations 2
12	May 20/22	presentations 3	presentations 4
	May 24	Due: M3 -- update+meeting
13	May 27/29	presentations 5	Christi Himmelfahrt
14	Jun 03/05	Time data (Aigner) pdf	Evaluation (Sedlmair) pdf
15	Jun 10/12	Pfingsten	Focus: project
16	Jun 17/19	presentations 6	Fronleichnam
	Jun 22	Due: M4 -- final report
17	Jun 24/26	final presentations

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Lecture 1 Introduction / Inspiration

Further references:

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

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

On your own, please listen to these inspiring lectures:

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

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Lecture 2: Design Principles

Further references:

• 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.

Assignments: Assignment 1 - Due March 23, 2014 solutions

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Lecture 3: Visualization Process

Further references:

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

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Lecture 4: Data Types, Semantics and Tasks

Further references:

• Matthew Brehmer, Tamara Munzner, "A Multi-Level Typology of Abstract Visualization Tasks," IEEE TVCG (Proc. InfoVis 2013), 19(12), pp. 2376--2385
• Ben Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations," 1996 IEEE Symposium on Visual Languages, 1996
• Jeff Heer, Ben Shneiderman, "Interactive Dynamics for Visual Analysis," Communications of the ACM, Volume 55 Issue 4, pp 45-54, April 2012
• 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

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Lecture 5: Visual Encoding Principles

Further references:

• 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)

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Lecture 6: Encode: Single View Methods (Spatial + Color)

Further references:

• 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.

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Lecture 07: Multiple View Methods

Further references:

• 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

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Lecture 08 Reduce: Data Manipulation

Further references (Attribute reduction):

• Yang, Peng, Ward, Rundensteiner, Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration Of High Dimensional Datasets, InfoVis 2003
• Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, Torsten Möller, DimStiller: Workflows for dimensional analysis and reduction, VAST 2010

Further references (Dimensionality reduction):

• Richard Holbrey, Dimension Reduction Algorithms for Data Mining and Visualization, Techreport 2006.
• Stephen Ingram, Tamara Munzner, Marc Olano, Glimmer: Multilevel MDS on the GPU, TVCG 2009
• Michael Sedlmair, Tamara Munzner, and Melanie Tory, Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices, InfoVis 2013

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Lecture 09: Reduce: Navigation

Further references:

• 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.

Videos: TreeJuxtaposer, 2D PARC Hyperbolic Tree, H3

Demos: SpaceTree

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Lecture 10 Scalar Data

Further references:

• 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

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D3: Tutorial

Material:

• presentation-slides
• Demos on GitHub
• all demos and templates (zip)

Further references/resources:

• see A2-resources

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Lecture 11 Volume Rendering

Further references:

• Engel et al., "Real-time Volume Graphics", AK Peters, 2006; (Google Link),
  • Chapter 3 (Basic GPU-Based Volume Rendering)
  • Chapter 7 (GPU-Based Ray Casting)
  • 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)

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Lecture 12: Vector Visualization

Further references:

• 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,

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Lecture 13: Tensor Visualization

Further references:

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

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Student Presentations 1 (May 13)

• Philipp Sturmlechner - 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.
• Alexandra Tamas - Software Vis (slides)
  • chosen: 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
  • chosen: CVSscan: Visualization of Code Evolution, Lucian Voinea, Alex Telea, and Jarke J. van Wijk, Proc. SoftVis 2005, p 47-56.
• Christine Mayer - Biology (slides)
  • chosen: Advances in Geometric Morphometrics Philipp Mitteroecker, Philipp Gunz, Evolutionary Biology, 36(2), 235-247, 2009.
  • chosen: Studying developmental variation with geometric morphometric image analysis Christine Mayer, Brian D. Metscher, Gerd B. Müller, Philipp Mitteroecker, submitted
• Eike Jens Gnadt - Bioinformatics
  • 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.
  • 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.
  • chosen: 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.
• Alexander Pfundner - Bioinformatics (slides)
  • Visualizing Biological Data, Nature Methods Supplement, March 2010, Vol 7 Num 3s.
    • chosen: 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.
    • chosen: 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.
• Nikola Dichev - Bioinformatics (slides)
  • 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.
    • chosen: 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.
    • chosen: 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.

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Student Presentations 2 (May 15)

• Johannes Preisinger - Interaction (slides)
  • chosen: 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.
  • 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.
• Ahmad Rizal Meilian - Navigation (slides)
  • chosen: Topology-Aware Navigation in Large Networks, Tomer Moscovich, Fanny Chevalier, Nathalie Henry, Emmanuel Pietriga, Jean-Daniel Fekete, Proc CHI 2009, p 2319-2328.
  • Design Guidelines for Landmarks to Support Navigation in Virtual Environments, Norman G. Vinson, Proc. SIGCHI 99.
  • Effective View Navigation, George W. Furnas, Proc. SIGCHI 97, pp. 367-374.
  • Critical Zones in Desert Fog: Aids to Multiscale Navigation, Susanne Jul and George W. Furnas, Proc. UIST 98
  • chosen: Tuning and testing scrolling interfaces that automatically zoom, Andy Cockburn, Joshua Savage, Andrew Wallace, Proc CHI 05.
  • Smooth and Efficient Zooming and Panning, Jack J. van Wijk and Wim A.A. Nuij, Proc. InfoVis 2003, p. 15-22
• Franz Brandl - Tree / Hierarchy
  • 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.
  • 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.
• Manfred Klaffenböck - Parameter Space Analysis (slides)
  • 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)
  • chosen: World Lines, Jürgen Waser, Raphael Fuchs, Hrvoje Ribicic, 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.
• Roman Habitzl - Parameter Space Analysis (slides)
  • 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. 3-10, October 2010. (Supplementary Video)
  • chosen: LineUp: Visual Analysis of Multi-Attribute Rankings, Samuel Gratzl, Alexander Lex, Nils Gehlenborg, Hanspeter Pfister, Marc Streit, IEEE TVCG (Proceedings Information Visualization 2013)
  • 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)
• Michael Gruber - High-dimensional data (slides)
  • Coordinating Computational and Visualization Approaches for Interactive Feature Selection and Multivariate Clustering, Guo, Information Visualization, 2(4): 232-246.
  • 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.
  • chosen: 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.
  • chosen: 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.
  • A Partition-Based Framework for Building and Validating Regression Models, Thomas Mühlbacher, Harald Piringer, IEEE Trans. Vis. Comput. Graph. 19(12): 1962-1971 (2013).

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Student Presentations 3 (May 20)

• Dana Markovic - Graph Drawing (slides)
  • chosen: Search, Show Context, Expand on Demand: Supporting Large Graph Exploration with Degree-of-Interest, Frank van Ham and Adam Perer, InfoVis 2009.
  • Visual Exploration Across Biomedical Databases, Michael D. Lieberman, Sima Taheri, Huimin Guo, Fatemeh Mir-Rashed, Inbal Yahav, Aleks Aris, Ben Shneiderman, IEEE/ACM Trans. Computational Biology and Bioinformatics, April 2011.
  • Drawing on Physical Analogies, Ulrik Brandes, In Michael Kaufmann and Dorothea Wagner (Eds.): Drawing Graphs: Methods and Models. LNCS Tutorial 2025, p 71-86, Springer 2001.
  • chosen: Graph Visualisation and Navigation in Information Visualisation: a Survey, Ivan Herman, Guy Melancon, M. Scott Marshall, IEEE Trans. on Visualization and Computer Graphics, 6(1), pp. 24-44, 2000
• Dominik Dinulovic - Graph Drawing (slides)
  • Online Dynamic Graph Drawing, Yaniv Frishman and Ayellet Tal, Proc EuroVis 2007, 75-82.
  • Multi-Level Graph Layout on the GPU, Yaniv Frishman and Ayellet Tal, Proc InfoVis 2007
  • Drawing large graphs with a potential-field-based multilevel algorithm, S. Hachul and M. Junger, Proc. Graph Drawing 2004, volume 3383 of LNCS, p 285--295. Springer-Verlag.
  • chosen: NodeTrix: a Hybrid Visualization of Social Networks, Nathalie Henry, Jean-Daniel Fekete, and Michael McGuffin, InfoVis 2007.
  • chosen: MatrixExplorer: a Dual-Representation System to Explore Social Networks, Nathalie Henry and Jean-Daniel Fekete, InfoVis 2006.
• Sümeyye Kocaman - Social Network Vis
  • 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.
  • 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.
• Lea Koinig - Social Network Vis (slides)
  • 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.
  • chosen: 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.
• Anita Moser - Social Network Vis (slides)
  • chosen: Visualizing Social Groups, Linton C. Freeman, American Statistical Association, 1999 Proceedings of the Section on Statistical Graphics, 2000, 47-54.
  • Visualizing Social Networks, Linton C. Freeman, Journal of Social Structure, 1, 2000, (1).
  • chosen: Vizster: Visualizing Online Social Networks, Jeffrey Heer and Danah Boyd, InfoVis 2005. (Video)
  • Social Network Fragments, Chap 7, Danah Boyd, MS Thesis "Faceted Id/entity: Managing representation in a digital world".
• Mladen Magic - Vis for the Masses (slides)
  • Casual Information Visualization: Depictions of Data in Everyday Life, Zachary Pousman, John Stasko, Michael Mateas, IEEE TVCG (Proc. InfoVis 2007) 13(6):1145-1152, 2007.
  • chosen: Many Eyes: A Site for Visualization at Internet Scale, Fernanda B. Viégas, Martin Wattenberg, Frank van Ham, Jesse Kriss, Matt McKeon, Proc InfoVis 2007. See also other ManyEyes papers.
  • Baby Names, Visualization, and Social Data Analysis, Martin Wattenberg, Proc InfoVis 2005.
  • Your Place or Mine? Visualization as a Community Component, Catalina M. Danis, Fernanda B. Viégas, Martin Wattenberg, Jesse Kriss, Proc CHI 2008.
  • A Visual Backchannel for Large-Scale Events, Marian Dork, Daniel Gruen, Carey Williamson, and Sheelagh Carpendale, IEEE TVCG (Proc. InfoVis 2010) 16(6):1129-1138, 2010.
  • chosen: Diagrams for the Masses: Raising Public Awareness - From Neurath to Gapminder and Google Earth, Raul Nino Zambrano and Yuri Engelhardt. Diagrammatic Representation and Inference, Springer LNCS 5223, p 282-292, 2008.

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Student Presentations 4 (May 22)

• Michael Prater - Topology (slides)
  • Flexible isosurfaces: Simplifying and displaying scalar topology using the contour tree, Hamish Carr, Jack Snoeyink, Michiel van de Panne, Comput. Geom. 43(1): 42-58 (2010).
  • chosen: Joint Contour Nets: Computation and properties, Hamish Carr, David J. Duke, PacificVis 2013: 161-168.
  • chosen: Topological Spines: A Structure-preserving Visual Representation of Scalar Fields, Carlos D. Correa, Peter Lindstrom, Peer-Timo Bremer, IEEE Trans. Vis. Comput. Graph. 17(12): 1842-1851 (2011).
• Michael Tögel - Flow Vis (slides)
  • chosen: The State of the Art in Flow Visualization: Dense and Texture-Based Techniques, Robert S. Laramee, Helwig Hauser, Helmut Doleisch, Benjamin Vrolijk, Frits H. Post, and Daniel Weiskopf, Computer Graphics Forum, Vol. 23, No. 2, 2004, pages 203-221.
  • chosen: Over Two Decades of Integration-Based Geometric Flow Visualization, Tony McLouglin, Robert S. Laramee, Ronald Peikert, Frits H. Post and Min Chen, Computer Graphics Forum, Vol. 29, No. 6, 2010, pages 1807-1829.
  • chosen: Image Based Flow Visualization, Jarke J. van Wijk. ACM Trans. Graphics (Proc. Siggraph 2002).
• Michael Oppermann - Geo Vis (slides)
  • chosen: Necklace Maps. Bettina Speckmann, Kevin Verbeek. IEEE TVCG 16(6):881-889 (Proc. InfoVis 2010).
  • Flow Map Layout via Spiral Trees. Kevin Buchin, Bettina Speckmann, and Kevin Verbeek. IEEE TVCG 17(12):2536-2544 (Proc. InfoVis 2011).
  • BallotMaps: Detecting Name Bias in Alphabetically Ordered Ballot Papers. Jo Wood, Donia Badawood, Jason Dykes, Aidan Slingsby. IEEE TVCG 17(12): 2384-2391 (Proc InfoVis 2011).
  • Geographically weighted visualization - interactive graphics for scale-varying exploratory analysis Jason Dykes and Chris Brunsdon, IEEE TVCG 13(6):1161-1168 (Proc. InfoVis 2007)
  • chosen: Hotmap: Looking at Geographic Attention Danyel Fisher, IEEE TVCG 13(6):1184-1191 (Proc. InfoVis 2007)
  • Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup Jo Wood, Jason Dykes, Aidan Slingsby, and Keith Clarke IEEE TVCG 13(6):1176-1183 (Proc. InfoVis 2007)
  • CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms Daniel A. Keim, Stephen C. North, Christopher Panse, IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 10, No. 1, pp. 95-110, 2004
  • Case Study: Design and Assessment of an Enhanced Geographic Information System for Exploration of Multivariate Health Statistics Robert M. Edsall, Alan M. MacEachren and Linda Pickle. Proc. InfoVis 2001.
  • Geographic visualization: designing manipulable maps for exploring temporally varying georeferenced statistics Alan M. MacEachren, A.M. Boscoe, F.P. Haug, D. Pickle, L.W. (1998). Information Visualization. 1998, 87-94.
  • Conditioned Choropleth Maps and Hypothesis Generation. Daniel B. Carr, Denis White, Duncan MacPherson, and Alan M. MacEachren, Annals of the Association of American Geographers, 95(1), 2005, pp. 32-53
  • Unfolding the Earth: Myriahedral Projections. Jarke J. van Wijk, The Cartographic Journal, Vol. 45, No. 1, pp.32-42, February 2008.
• Martina Kapf - Perception (slides)
  • Evaluation of Artery Visualizations for Heart Disease Diagnosis, Borkin, Gajos, Peters, Mitsouras, Melchionna, Rybicki, Feldman, Pfister, InfoVis 2011.
  • 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.
  • 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
• Moritz Wustinger - Perception (slides)
  • chosen: Representing Colors as Three Numbers, Maureen Stone, Computer Graphics and Applications, 25(4), July 2005, pp. 78-85.
  • chosen: 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]
• Jacqueline Fischer - Perception / Animation (slides)
  • chosen: Animation: Can It Facilitate? Barbara Tversky, Julie Morrison, Mireille Betrancourt, International Journal of Human Computer Studies 57:4, pp 247-262, 2002.
  • chosen: 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)
  • Interactive Visualization of Genealogical Graphs, Michael J. McGuffin, Ravin Balakrishnan. Proc. InfoVis 2005, pp 17-24. (movie)
  • EdgeLens: An Interactive Method for Managing Edge Congestion in Graphs, Nelson Wong, M. Sheelagh T. Carpendale, Saul Greenberg, Proc. InfoVis03, pp 51-58. (movie)

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Student Presentations 5 (May 27)

• Himzo Tahic - Uncertainty (slides)
  • 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.
  • chosen: Point-based probabilistic surfaces to show surface uncertainty, G. Grigoryan, Penny Rheingans, IEEE Transaction on Visualization and Computer Graphics 10, 5 (2004), 564-573.
  • chosen: 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.
• Elif Bilgin - Music Vis (slides)
  • chosen: Mapping Music In The Palm Of Your Hand, Rob van Gulik, Fabio Vignoli, Huub van de Wetering, In Proceedings of ISMIR 2004.
  • chosen: Visualizing Musical Structure and Rhythm via Self-Similarity, Jonathan Foote and Matthew Cooper International Computer Music Conference Proceedings 2001.
• Mike Polzer - Music Vis (slides)
  • Listening Factors: A Large-Scale Principal Components Analysis of Long-Term Music Listening Histories, Baur, Büttgen, and Butz, CHI 2012.
  • chosen: 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: Rush: Repeated Recommendations on Mobile Devices, Baur, Boring, and Butz, International Conference on Intelligent User Interfaces (IUI 2010).
• Stefan Rammer - Music Vis
  • 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.
  • Songexplorer: a tabletop application for exploring large collections of songs, C. F. Julia and S. Jorda, In Proc. of ISMIR 2009.
• Magdalena Pöhl - Time Series (slides)
  • chosen: Visual Methods for Analyzing Time-Oriented Data Wolfgang Aigner, Silvia Miksch, Wolfgang Muller, Heidrun Schumann, Christian Tominski, IEEE TVCG 14(1): 47-60 (2008).
  • chosen: Exploratory Analysis of Time-series with ChronoLenses. Jian Zhao, Fanny Chevalier, Emmanuel Pietriga, Ravin Balakrishnan, IEEE TVCG 17(12):2422-2431 2011 (Proc. InfoVis 2011).
  • CloudLines: Compact Display of Event Episodes in Multiple Time-Series. Milos Krstajic, Enrico Bertini, Daniel Keim, IEEE TVCG 17(12):2432-2439 2011 (Proc. InfoVis 2011).
  • Interactive Pattern Search in Time Series Buono, P., Aris, A., Plaisant, C., Khella, A. and Shneiderman, B. Proc. VDA 2005.
  • Interactive Visualization of Serial Periodic Data, John V. Carlis and Joseph A. Konstan, Proc UIST 98.
  • Time-series Bitmaps: A Practical Visualization Tool for working with Large Time Series Databases Kumar, N., Lolla N., Keogh, E., Lonardi, S. , Ratanamahatana, C. A. and Wei, L. (2005). Proc. SDM '05, pp. 531-535
  • Visualizing and discovering non-trivial patterns in large time series databases, Jessica Lin, Eamonn Keogh, Stefano Lonardi, Information Visualization 4(2):61-82, July 2005.
• Jasmin Kuric - Business + Finance (slides)
  • chosen: WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions, Remco Chang, et al, IEEE Visual Analytics Science and Technology 2007, pp. 155-162.
  • chosen: finVis: Applied visual analytics for personal financial planning, Stephen Rudolph, Anya Savikhin, and David S. Ebert, VAST 2009.
  • Visual market sector analysis for financial time series data, Hartmut Ziegler, Marco Jenny, Tino Gruse, Daniel A. Keim, VAST 2010

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Student Presentations 6 (Jun 17)

• Ezgi Altug - Med Vis (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.
• Christopher David Viertmann - Med Vis (slides)
  • ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation, Ahmed Saad, Torsten Möller, Ghassan Hamarneh, EuroVis 2010. (Video)
  • chosen: 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.
  • Exploration and Visualization of Segmentation Uncertainty using Shape and Appearance Prior Information, Ahmed Saad, Ghassan Hamarneh, and Torsten Möller, Vis 2010.
  • chosen: Uncertainty-Aware Guided Volume Segmentation, Jörg-Stefan Praßni and Timo Ropinski and Klaus Hinrichs, IEEE TVCG, vol. 16, no. 6, pp. 1358-1365, 2010.
• Anuar Yesid Suarez - Med Vis / Interaction
  • BrainGazer - Visual Queries for Neurobiology Research, Bruckner et al, Vis 2009.
  • Visualization and Analysis of Large Data Collections: a Case Study Applied to Confocal Microscopy Data, Wim de Leeuw, P.J. Verschure, Robert van Liere, Vis 2006
  • Visualization of Cellular and Microvascular Relationships, David M. Mayerich, Louise Abbott, John Keyser, Vis 2008
  • Visualization in Connectomics, Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner, Vincent J. Dercksen, Hans-Christian Hege, Jos B.T.M. Roerdink, TechReport 2012.
• Aleksandar Jagodic - Statistical Graphics
  • An Extension of Wilkinson's Algorithm for Positioning Tick Labels on Axes, Justin Talbot, Sharon Lin, Pat Hanrahan, IEEE Trans. Vis. Comput. Graph. 16(6): 1036-1043 (2010).
  • An Empirical Model of Slope Ratio Comparisons, Justin Talbot, John Gerth, Pat Hanrahan, IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2012.
  • Arc Length-based Aspect Ratio Selection, Justin Talbot, John Gerth, Pat Hanrahan, InfoVis 2011.
• Michael Edward - Statistical Graphics
  • Contour Boxplots: A Method for Characterizing Uncertainty in Feature Sets from Simulation Ensembles, Ross T. Whitaker, Mahsa Mirzargar, Robert M. Kirby, IEEE TVCG 19 (12): 2713–2722, 2013.
  • Visualizing Summary Statistics and Uncertainty, Kristin Potter, Joe Kniss, Richard Riesenfeld, and Chris R. Johnson, EuroVis 2010, vol. 29, no. 3, pp. 823--831, 2010.
  • Selecting the Aspect Ratio of a Scatter Plot Based on Its Delaunay Triangulation, Martin Fink, Jan-Henrik Haunert, Joachim Spoerhase, Alexander Wolff, InfoVis 2013.
  • Graph-theoretic scagnostics, Leland Wilkinson, Anushka Anand, Robert Grossman, InfoVis 2005.
• Sümeyra Serdar - Brushing + Linking (slides)
  • Scented Widgets: Improving Navigation Cues with Embedded Visualizations, Wesley Willett, Jeffrey Heer, Maneesh Agrawala, InfoVis, 2007.
  • chosen: Supporting awareness through collaborative brushing and linking of tabular data, A.H. Hajizadeh, Melanie Tory, Rock Leung, VAST 2013.
  • chosen: Brushing of Attribute Clouds for the Visualization of Multivariate Data, Heike Jänicke, Michael Böttinger, and Gerik Scheuermann, Vis 2008.