Instructor: Tamara Munzner
First Class: Thu Sep 10
Time/Location: Tue/Thu 2:00-3:30, DMP 101
Office Hours: Tue 3:30-4:30 or by appointment. X661 ICICS/CS Bldg (X Wing)
UBC Cal Page: main, waitlist, both

Visualization Analysis and Design, Tamara Munzner (A K Peters Visualization Series, CRC Press, 2014) is the course textbook.

The UBC library has multiple ebook licenses: library catalog page, EZProxy direct link.

To buy your own copy online, it's currently US$75 new from amazon.com and US$80 from CRC (I'll give out promo code for 20% off in lecture, so it's $64); CD$105 from amazon.ca and CD$107 from chapters.ca. When you buy the hardcover book, you'll get the ebook version for free; you can also buy an ebook-only for less.

All additional readings are research papers available online, links posted below.

For digital library access from off-campus, use EZproxy with your CWL login through the UBC library.
EZproxy direct links: IEEE DL, Springer DL, ACM DL, JSTOR

Slides: pdf, pdf 16up, keynote

Further Reading

• Visualization. Tamara Munzner. Chapter 27, p 675-707, of Fundamentals of Graphics, Third Edition, by Peter Shirley et al. AK Peters, 2009.
• A Tour through the Visualization Zoo. Jeffrey Heer, Michael Bostock, Vadim Ogievetsky. Communications of the ACM, 53(6), pp. 59-67, Jun 2010.
• Paper types: InfoVis14 call for papers, Pitfalls paper

• VAD Chapter 5. Marks and Channels
• Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases (extended paper) Chris Stolte, Diane Tang and Pat Hanrahan. IEEE TVCG 8(1):52-65 2002. [type: system]
  • errata: should be b_j not b_i in section 4.1.3

Slides: pdf, pdf 16up, keynote

Further Reading

• Ch 5: Marks and Channels
  • Semiology of Graphics, Jacques Bertin, Gauthier-Villars 1967, EHESS 1998.
  • Graphical Perception: Theory, Experimentation and the Application to the Development of Graphical Models. William S. Cleveland, Robert McGill, J. Am. Stat. Assoc. 79:387, pp. 531-554, 1984.
  • A Model for Studying Display Methods of Statistical Graphics (with Discussion). William S. Cleveland. Journal of Computational and Statistical Graphics 2(4):323-364 1993.
  • Automating the Design of Graphical Presentations of Relational Information. Jock Mackinlay, ACM Transaction on Graphics, vol. 5, no. 2, April 1986, pp. 110-141.
  • Information Visualization: Perception for Design, 3rd edition, Colin Ware, Morgan Kaufmann, 2013.
  • How Maps Work: Representation, Visualization, and Design. Alan M. MacEachren. Guilford Press, 1995.
  • Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design. Jeffrey Heer and Michael Bostock. Proc. CHI 2010.
  • Taxonomy-Based Glyph Design---With a Case Study on Visualizing Workflows of Biological Experiments. Eamonn Maguire, Philippe Rocca-Serra, Susanna-Assunta Sansone, Jim Davies, and Min Chen. IEEE TVCG (Proc. InfoVis 12) 18(12):2603-2612 2012.
  • Glyph-Based Visualization: Foundations, Design Guidelines, Techniques and Applications. Rita Borgo, Johannes Kehrer, David H.S. Chung, Eamonn Maguire, Robert S. Laramee, Helwig Hauser, Matthew Ward, and Min Chen. Eurographics State of the Art Reports (STAR):39-63 2013.
  • On the Theory of Scales of Measurement. S. S. Stevens. Science 103(2684):677-680, 1946.
  • Psychophysics: Introduction to Its Perceptual, Neural, and Social Prospects, S. S. Stevens, Wiley 1975.
  • Visual Thinking for Design, Colin Ware, Morgan Kaufmann 2008.
  • Perception in Vision web page with demos, Christopher Healey. (see also Attention and Visual Memory in Visualization and Computer Graphics, Christopher G. Healey and James T. Enns, IEEE TVCG 18(7):1170-1188 2012.)
  • Feature Analysis in Early Vision: Evidence from Search Asymmetries. Treisman and Gormican. Psychological Review 95(1):15-48, 1988.
• Polaris paper
  • The Grammar of Graphics, Leland Wilkinson, Springer-Verlag 1999.
  • Multiscale Visualization Using Data Cubes, Chris Stolte, Diane Tang and Pat Hanrahan, Proc. InfoVis 2002, pp 7-14.

Slides: pdf, pdf 16up, keynote

In Class

• Cluster and Calendar-based Visualization of Time Series Data, InfoVis 1999, van Wijk and van Selow
• BinX course project final report and InfoVis 2004 poster, Berry
• LiveRAC paper and video, CHI 2008, McLachlan et al

Further Reading

• General
  • Mathematics and the Internet: A Source of Enormous Confusion and Great Potential. Walter Willinger, David Alderson, and John C. Doyle. Notices of the AMS 56(5):586-599, 2009.
• Ch 1: What's Vis and Why Do It?
  • The Nature of External Representations in Problem Solving. Jiajie Zhang. Cognitive Science 21:2 (1997), 179-217.
  • A Representational Analysis of Numeration Systems. Jiajie Zhang and Donald A. Norman. Cognition 57 (1995), 271-295.
  • Why a Diagram Is (Sometimes) Worth Ten Thousand Words.. Jill H. Larkin and Herbert A. Simon. Cognitive Science 11:1 (1987), 65-99.
  • Graphs in Statistical Analysis.F.J. Anscombe. American Statistician 27 (1973), 17-21.
  • Design Study Methodology: Reflections from the Trenches and the Stacks. Michael Sedlmair, Miriah Meyer, and Tamara Munzner. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 2012), 18(12):2431-2440, 2012.
  • Information Visualization: Perception for Design, 3rd edition, Colin Ware, Morgan Kaufmann, 2013.
  • Current approaches to change blindness Daniel J. Simons. Visual Cognition 7, 1/2/3 (2000), 1-15.
  • Semiology of Graphics, Jacques Bertin, Gauthier-Villars 1967, EHESS 1998
  • The Visual Display of Quantitative Information. Edward R. Tufte. Graphics Press, 1983.
• Ch 2: Data Abstraction
  • Readings in Information Visualization: Using Vision To Think, Chapter 1. Stuart K. Card, Jock Mackinlay, and Ben Shneiderman. Morgan Kaufmann, 1999.
  • Rethinking Visualization: A High-Level Taxonomy. InfoVis 2004, p 151-158, 2004.
  • The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations Ben Shneiderman, Proc. 1996 IEEE Visual Languages
  • Data Visualization: Principles and Practice, 2nd ed. Alexandru Telea, CRC Press, 2014.
  • Interactive Data Visualization: Foundations, Techniques, and Applications, 2nd ed. Matthew O. Ward, Georges Grinstein, Daniel Keim. CRC Press, 2015.
  • The Visualization Handbook. Charles Hansen and Chris Johnson, eds. Academic Press, 2004.
  • Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, 4th ed. Will Schroeder, Ken Martin, and Bill Lorensen. Kitware 2006.
  • The Structure of the Information Visualization Design Space. Stuart Card and Jock Mackinlay, Proc. InfoVis 97.
  • Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases (extended paper) Chris Stolte, Diane Tang and Pat Hanrahan. IEEE TVCG 8(1):52-65 2002.
  • Visualization of Time-Oriented Data. Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Chris Tominski. Springer 2011.

• VAD Chapter 3. Why: Task Abstraction
• Design Study Methodology: Reflections from the Trenches and the Stacks. Michael Sedlmair, Miriah Meyer, and Tamara Munzner. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 2012), 18(12):2431-2440, 2012. [type: model]

Slides: pdf, pdf 16up, keynote

Further Reading

• General
  • pointers to many design studies
• Ch 3: Task Abstraction
  • A Multi-Level Typology of Abstract Visualization Tasks.. Matthew Brehmer and Tamara Munzner. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 13) 19:12 (2013), 2376-2385.
  • A characterization of the scientific data analysis process. Rebecca R. Springmeyer, Meera M. Blattner, and Nelson M. Max. Proc. Vis 1992, p 235-252.
  • Low-Level Components of Analytic Activity in Information Visualization. Robert Amar, James Eagan, and John Stasko. Proc. InfoVis 05, pp. 111-117.
  • Task taxonomy for graph visualization. Bongshin Lee, Catherine Plaisant, Cynthia Sims Parr, Jean-Daniel Fekete, and Nathalie Henry. Proc. BELIV 2006.
  • Interactive Dynamics for Visual Analysis. Jeffrey Heer and Ben Shneiderman. Communications of the ACM, 55(4), pp. 45-54, 2012.
  • What does the user want to see?: what do the data want to be? A. Johannes Pretorius and Jarke J. van Wijk. Information Visualization 8(3):153-166, 2009.
  • Chapter 1, Readings in Information Visualization: Using Vision to Think. Stuart Card, Jock Mackinlay, and Ben Shneiderman, Morgan Kaufmann 1999.
  • An Operator Interaction Framework for Visualization Systems. Ed H. Chi and John T. Riedl. Proc. InfoVis 1998, p 63-70.
  • Nominal, Ordinal, Interval, and Ratio Typologies are Misleading. Paul F. Velleman and Leland Wilkinson. The American Statistician 47(1):65-72, 1993.
  • Rethinking Visualization: A High-Level Taxonomy. Melanie Tory and Torsten Möller, Proc. InfoVis 2004, pp. 151-158.
  • SpaceTree: Supporting Exploration in Large Node Link Tree, Design Evolution and Empirical Evaluation. Catherine Plaisant, Jesse Grosjean, and Ben B. Bederson. Proc. InfoVis 2002.
  • TreeJuxtaposer: Scalable Tree Comparison using Focus+Context with Guaranteed Visibility Tamara Munzner, Francois Guimbretiere, Serdar Tasiran, Li Zhang, and Yunhong Zhou. SIGGRAPH 2003.
  • Feature detection in linked derived spaces. Chris Henze. Proc. Visualization (Vis) 1998, p 87-94.
  • Using Strahler numbers for real time visual exploration of huge graphs. David Auber. Intl Conf. Computer Vision and Graphics, 2002, p 56-69.

• VAD Chapter 6. Rules of Thumb
• Evaluation of Artery Visualizations for Heart Disease Diagnosis. Borkin et al, IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 2011), 17(12):2479-2488, 2011. [type: evaluation / design study]

Slides: pdf, pdf 16up, keynote, HemoViz PDF

Further Reading

• Ch 6: Rules of Thumb
  • Visual Thinking for Design, Colin Ware, Morgan Kaufmann 2008.
  • Information Visualization: Perception for Design, 3rd edition, Colin Ware, Morgan Kaufmann, 2013.
  • The Use of 2-D and 3-D Displays for Shape Understanding versus Relative Position Tasks. Mark St. John, Michael B. Cowen, Harvey S. Smallman, and Heather M. Oonk. Human Factors 43:1 (2001), 79-98.
  • An Evaluation of Cone Trees. Andy Cockburn and Bruce McKenzie. In People and Computers XIV: Usability or Else. British Computer Society Conference on Human Computer Interaction, pp. 425-436. Springer, 2000.
  • 3D or Not 3D? Evaluating the Effect of the Third Dimension in a Document Management System. Andy Cockburn and Bruce McKenzie. Proc. CHI 2003, p 434-441.
  • Evaluating Spatial Memory in Two and Three Dimensions. Andy Cockburn and Bruce McKenzie. International Journal of Human-Computer Studies. 61(30):359-373.
  • Supporting and Exploiting Spatial Memory in User Interfaces. Joey Scarr, Andy Cockburn, and Carl Gutwin. Foundations and Trends in Human-Computer Interaction. 2013. 6:1 1-84.
  • Principles of Traditional Animation Applied to Computer Animation John Lasseter, Proceedings of SIGGRAPH 87, Computer Graphics, 21(4), pp. 35-44, July 1987.
  • Animation: Can It Facilitate? Barbara Tversky, Julie Morrison, Mireille Betrancourt. International Journal of Human Computer Studies 57:4, pp 247-262, 2002.
  • Structuring information interfaces for procedural learning. Jeffrey M. Zacks and Barbara Tversky. Journal of Experimental Psychology: Applied, Vol 9(2), Jun 2003, 88-100.
  • Effectiveness of Animation in Trend Visualization. George Robertson and Roland Fernandez and Danyel Fisher and Bongshin Lee and John Stasko. IEEE Trans. on Visualization and Computer Graphics 14(6):1325-1332, 2008 (Proc. InfoVis08).
  • Current Approaches to Change Blindness. Daniel J. Simons. Visual Cognition 7:1/2/3 (2000), 1-15.
  • The eyes have it: A task by data type taxonomy for information visualizations. Ben Shneiderman. Proc. Conf. Visual Languages 1996, p 336-343.
  • The Notion of Overview in Information Visualization. Kaspar Hornbaek and Morten Hertzum. International Journal of Human-Computer Studies 69:7-8 (2011), 509-525.
  • The Information Visualizer, an Information Workspace. Stuart Card, George Robertson, and Jock Mackinlay. Proc. CHI 1991, p 181-186.
  • Designing with the Mind in Mind: Simple Guide to Understanding User Interface Design Rules. Jeff Johnson. Morgan Kaufmann, 2010.
  • A Framework of Interaction Costs in Information Visualization. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 08) 14:6 (2008), 1149-1156.
  • 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. TVCG (Proc. InfoVis 07) 13:6 (2007), 1224-1231.
  • Get It Right in Black and White. Maureen Stone. Functional Color, 2010.
  • The Non-Designer's Design Book. Robin Williams. Peachpit Press, 2008.

• VAD Chapter 4. Analysis: Four Levels for Validation
• D3: Data-Driven Documents. Michael Bostock, Vadim Ogievetsky, Jeffrey Heer. IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2011. [type: system]

Slides: pdf, pdf 16up, keynote

Further Reading

• Storks Deliver Babies (p= 0.008). Robert Matthews. Teaching Statistics 22(2):36-38, 2000. DOI
• The Earth is spherical (p < 0.05): alternative methods of statistical inference. Kim J. Vicente and Gerard L. Torenvliet. Theoretical Issues in Ergonomics Science, 1(3):248-271, 2000.
• The Prospects for Psychological Science in Human-Computer Interaction. Allen Newell and Stuart K. Card. Journal Human-Computer Interaction 1(3):209-242, 1985.
• How to do good research, get it published in SIGKDD and get it cited!, Eamonn Keogh, SIGKDD Tutorial 2009.
• False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant. Joseph P. Simmons, Leif D. Nelson and Uri Simonsohn. Psychological Science 22(11):1359-1366, 2011.
• Externalisation - how writing changes thinking.. Alan Dix. Interfaces, Autumn 2008.

• VAD Chapter 7. Arrange Tables
• Paper: Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges, Bilal Alsallakh, Luana Micallef, Wolfgang Aigner, Helwig Hauser, Silvia Miksch, and Peter Rodgers. EuroVis State of The Art Report 2014.

• VAD Chapter 8. Arrange Spatial Data
• Paper: Stenomaps: Shorthand for shapes Arthur van Goethem, Andreas Reimer, Bettina Speckmann, Jo Wood. TVCG 20(12):2053-2062 (Proc. InfoVis 2014) 2014.

Slides: pdf, pdf 16up, keynote

• VAD Chapter 9. Arrange Networks and Trees
• Paper: Topological Fisheye Views for Visualizing Large Graphs, Emden Gansner, Yehuda Koren and Stephen North. IEEE TVCG 11(4):457-468, 2005.

Slides: pdf, pdf 16up, keynote

Pointers from discussion

• Non-Euclidean Spring Embedders, Kobourov and Wampler, Proc. InfoVis 2004 (use of hyperbolic space for laying out networks)
• Escher Circle Limit III (2D hyperbolic tiling projected into disk, where circle boundary corresponds to infinity)
• Cluster Stability and the Use of Noise in Interpretation of Clustering. Davidson, Wylie, and Boyack. Proc. InfoVis 2001 (example of comparing results across different random seeds for layouts)
• (orthogonal layout examples)
• An Extended Evaluation of the Readability of Tapered, Animated, and Textured Directed-Edge Representations in Node-Link Graphs. Holten, Isenberg, van Wijk, Fekete. Proc. PacificVis 2011 (example of curved edges to show directionality)
• (graphvis example of true curved edges created with splines)
• NodeTrix: A Hybrid Visualization of Social Networks. Henry, Fekete, McGuffin. Proc. InfoVis 2007 (example of combining matrix and node-link layouts)
• Hive Plots by Martin Krzywinski (alternative to node-link layouts, where hard problem is transmuted to ordering the axes and node ordering within each axis)
• GeneaQuilts: A System for Exploring Large Genealogies. Bezerianos, Dragicevic, Fekete, Bae, Watson. Proc. InfoVis 2010 (another alternative to node-link layouts)
• ACE: A Fast Multiscale Eigenvector Computation for Drawing Huge Graphs. Koren, Carmel, Harel. Proc. InfoVis 2002 (layout technique that works well on mesh-like networks with regular connectivity, but poorly when connectivity structure is highly variable)
• Interactive Visualization of Small World Graphs. van Ham and van Wijk. Proc. InfoVis 2004 (similar approach to topological fisheye)
• (Voronoi diagrams vs Delaunay triangulations, dual structures to each other)
• Kaleidotile (showing idea of duality by morphing between vertices and faces; tiling with triangles to create Archimedean and Platonic solids in spherical case, planar tilings in Euclidean case, and hyperbolic tilings in hyperbolic case)
• The Shape of Space (video about spaces that are finite but have no boundary: spaces tiled in 2D and 3D)
• cartograms (distortion of maps to change total area while preserving space as much as possible; only useful if geography is familiar to viewer)
• Voronoi treemaps (something I first thought was just technique for technique's sake, that I later realized could be useful)

• VAD Chapter 10. Map Color and Other Channels
• Representing Colors as Three Numbers, Maureen Stone, IEEE Computer Graphics and Applications, 25(4), July 2005, pp. 78-85.

Slides: pdf, pdf 16up, keynote

Demos:

• ColorBrewer color palette/ramp chooser
• rehue color blindness simulator
• coblis color blindness simulator
• etre color blindness simulator

Pointers from discussion

• HSL double cone vs HSV single cone
• annotated CIE chromaticity diagram (even better than the one I showed in class)
• Planckian locus (showing whitepoints for different color temperatures)
• Photometric vs radiometric measurement (in photometric quantities every wavelength is weighted according to how sensitive the human eye is to it, while radiometric quantities use unweighted absolute power)
• (gamut comparisons between printer and monitor/display spaces)
• (gamut of HDTV monitor on chromacitity diagram)

Further Readings

• Ch 10: Color
  • Information Visualization: Perception for Design, 3rd edition, Colin Ware, Morgan Kaufmann, 2013.
  • A Field Guide To Digital Color, Maureen Stone, AK Peters 2003.
  • Color use guidelines for data representation C. Brewer, 1999.
  • How Not to Lie with Visualization, Bernice E. Rogowitz and Lloyd A. Treinish, Computers In Physics 10(3) May/June 1996, pp 268-273.
  • Rainbow Color Map (Still) Considered Harmful. David Borland and Russell M. Taylor, III. IEEE Computer Graphics and Applications 27:2 (2007), 14-17.
  • Information Visualization: Perception for Design, 3rd edition, Colin Ware, Morgan Kaufmann, 2013.
  • A Rule-Based Tool for Assisting Colormap Selection.. Lawrence D. Bergman, Bernice E. Rogowitz, and Lloyd A. Treinish. Proc. IEEE Visualization (Vis) 1995, 118-125.
  • An Empirical Inquiry Concerning Human Understanding of Two-Variable Color Maps.. Howard Wainer and Carl M. Francolini. The American Statistician 34:2 (1980), 81-93.
  • Motion to Support Rapid Interactive Queries on Node–Link Diagrams.. Colin Ware and Robert Bobrow. Transactions on Applied Perception (TAP) 1:1 (2004), 3-18.
• General
  • Maureen Stone's VIS 2005 Color course notes
  • Color Vision
  • Face-based Luminance Matching for Perceptual Colormap Generation Gordon Kindlmann, Erik Reinhard, and Sarah Creem Proc. Vis 2002. [Software]
  • Measuring Spectral Sensitivity, Chapter 8 of The Joy of Visual Perception by Peter Kaiser

• VAD Chapter 11. Manipulate View
• Interactive Visualization of Genealogical Graphs. Michael J. McGuffin, Ravin Balakrishnan. Proc. InfoVis 2005, pp 17-24.
  • video

Slides: pdf, pdf 16up, keynote

Demos/Videos:

• Lineup demo
• Animated Transitions in Statistical Data Graphics
• LiveRAC video
• Constellation video

Further Readings

• Ch 11: Manipulate View
  • Starting Simple - Adding Value to Static Visualisation Through Simple Interaction.. A. Dix and G. Ellis. Proc. Advanced Visual Interfaces (AVI) 1998, 124-134.
  • Animated Transitions in Statistical Data Graphics Jeffrey Heer and George G. Robertson. IEEE TVCG (Proc. InfoVis 2007) 13(6): 1240-1247, 2007. [Archived version]
  • Selection: 524,288 Ways To Say 'This Is Interesting'. Graham J. Wills. Proc. InfoVis 1996, p 54-61.
  • Pad++: A Zooming Graphical Interface for Exploring Alternate Interface Physics Ben Bederson, and James D Hollan, Proc UIST 94.
  • LiveRAC - Interactive Visual Exploration of System Management Time-Series Data. Peter McLachlan, Tamara Munzner, Eleftherios Koutsofios, Stephen North. Proc. Conf. on Human Factors in Computing Systems (CHI) 2008, 1483-1492.
  • Rapid Controlled Movement Through a Virtual 3D Workspace Jock Mackinlay, Stuart Card, and George Robertson. Proc SIGGRAPH '90, pp 171-176.
  • Smooth and Efficient Zooming and Panning. Jack J. van Wijk and Wim A.A. Nuij, Proc. InfoVis 2003, p. 15-22.
• General
  • Topology-Aware Navigation in Large Networks. Tomer Moscovich, Fanny Chevalier, Nathalie Henry, Emmanuel Pietriga, Jean-Daniel Fekete. Proc CHI 2009, p 2319-2328.
  • Tuning and testing scrolling interfaces that automatically zoom. Andy Cockburn, Joshua Savage, Andrew Wallace. Proc CHI 05.
  • Critical Zones in Desert Fog: Aids to Multiscale Navigation. Susanne Jul and George W. Furnas, Proc. UIST 98
  • Effective View Navigation, George W. Furnas, Proc. SIGCHI 97, pp. 367-374 DOI
  • Unfolding the Earth: Myriahedral Projections. Jarke J. van Wijk. The Cartographic Journal, Vol. 45, No. 1, pp.32-42, February 2008.

• VAD Chapter 12. Facet into Multiple Views
• Paper: Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data. Daniel F. Keefe, Marcus Ewert, William Ribarsky, Remco Chang. IEEE Trans. Visualization and Computer Graphics (Proc. Vis 2009), 15(6):1383-1390, 2009.

Slides: pdf, pdf 16up, keynote

Demos/Videos: Biomech video

Pointers from discussion

• Trellis plots from Cleveland
• GPLOM: The Generalized Plot Matrix for Visualizing Multidimensional Multivariate Data. Im, McGuffin, and Leung. TVCG (Proc InfoVis 2013).
• Improvise Ions example (see video link)
• Improvise architecture paper
• HIVE notation/framework for partitioning from giCentre

Further Reading

• Exploring the Design Space of Composite Visualizations Javed and Elmqvist, PacificVis 2012, p 1-8.

Slides: pdf, pdf 16up

Consider joining the LAVA Hackathon Oct 24/25

• VAD Chapter 13. Reduce Items and Attributes
• Paper: Glimmer: Multilevel MDS on the GPU. Stephen Ingram, Tamara Munzner and Marc Olano. IEEE TVCG, 15(2):249-261, Mar/Apr 2009.

Slides: pdf, pdf 16up, key

• VAD Chapter 14. Embed: Focus+Context
• TreeJuxtaposer: Scalable Tree Comparison using Focus+Context with Guaranteed Visibility. Tamara Munzner, Francois Guimbretiere, Serdar Tasiran, Li Zhang, and Yunhong Zhou. SIGGRAPH 2003.

Slides: pdf, pdf 16up, key

• VAD Chapter 15. Analysis Case Studies
• Paper: An Algebraic Process for Visualization Design. Carlos Scheidegger and Gordon Kindlmann. IEEE TVCG (Proc. InfoVis 2014), 20(12):2181-2190.

Slides: pdf, pdf 16up, key
Algebraic Design talk slides (PDF)

Further Reading

• Ch 15: Case Studies
  • Graph-Theoretic Scagnostics. Leland Wilkinson, Anushka Anand, and Robert Grossman. Proc InfoVis 05.
  • Scagnostics Distributions. Leland Wilkinson and Graham Wills. Journal of Computational and Graphical Statistics (JCGS) 17:2 (2008), 473-491.
  • VisDB: Database Exploration using Multidimensional Visualization. Daniel A. Keim and Hans-Peter Kriegel, IEEE CG&A, 1994
  • Interactively Exploring Hierarchical Clustering Results. Jinwook Seo and Ben Shneiderman. IEEE Computer 35:7 (2002), 80-86.
  • A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data. Jinwook Seo and Ben Shneiderman. Information Visualization 4:2 (2005), 96-113.
  • Visual Exploration of Multivariate Graphs. Martin Wattenberg, Proc. CHI 2006.
  • InterRing: An Interactive Tool for Visually Navigating and Manipulating Hierarchical Structures. Jing Yang, Matthew O. Ward, and Elke A. Rundensteiner. Proc InfoVis 2002, 77-84.
  • Constellation: A Visualization Tool For Linguistic Queries from MindNet. Tamara Munzner, Francois Guimbretiere, and George Robertson. Proc. InfoVis 1999, p 132-135.
  • Constellation: Linguistic Semantic Networks Tamara Munzner, Interactive Visualization of Large Graphs and Networks (PhD thesis) Chapter 5, Stanford University, 2000, pp 87-122

• Mike bioinformatics: PhenoBlocks: Phenotype Comparison Visualizations. Michael Glueck, Peter Hamilton, Fanny Chevalier, Simon Breslav, Azam Khan, Daniel Wigdor, Michael Brudno. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Louie bioinformatics: Vials: Visualizing Alternative Splicing of Genes. Hendrik Strobelt, Bilal Alsallakh, Joseph Botros, Brant Peterson, Mark Borowsky, Hanspeter Pfister, Alexander Lex. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Dmitry databases: Perfopticon: Visual Query Analysis for Distributed Databases. Dominik Moritz, Daniel Halperin, Bill Howe, Jeffrey Heer. Computer Graphics Forum (Proc. EuroVis), 34(3), 2015.
  • Slides: pdf, pdf 16up
• Jason hidim: Optimal Sets of Projections of High-Dimensional Data. Dirk Joachim Lehmann, Holger Theisel. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up

• Ben medical: NeuroBlocks: Visual Tracking of Segmentation and Proof-Reading for Large Connectomics Projects. Ali Al-Awami, Johanna Beyer, Daniel Haehn, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Dennis medical: Cluster Analysis of Vortical Flow in Simulations of Cerebral Aneurysm Hemodynamics. Steffen Oeltze-Jafra, Juan R. Cebral, Gabor Janiga, Bernhard Preim. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Vaden networks: Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration. Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke van Wijk. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Emily networks: HOLA: Human-like Orthogonal Network Layout. Steve Kieffer, Tim Dwyer, Kim Marriott, Michael Wybrow. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up

• Dylan social networks: EgoNetCloud: Event-based Egocentric Dynamic Network Visualization. Qingsong Liu, Yifan Hu, Lei Shi, Xinzhu Mu, Yutao Zhang, Jie Tang. Proc. VAST 2015.
  • Slides: pdf, pdf 16up
• Ken social networks: egoSlider: Visual Analysis of Egocentric Network Evolution. Yanhong Wu, Naveen Pitipornvivat, Jian Zhao, Sixiao Yang, Guowei Huang, Huamin Qu. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Henry social networks: TargetVue: Visual Analysis of Anomaly User Behaviors in Online Communication Systems Nan Cao, Conglei Shi, W. Sabrina Lin, Jie Lu, Yu-Ru Lin, Ching-Yung Lin. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Arthur software vis: Visualizing Work Processes in Software Engineering with Developer Rivers. Michael Burch, Tanja Munz, Fabian Beck, and Daniel Weiskopf. Proc. VisSoft 2015.
  • Slides: pdf, pdf 16up

• Jimmy timeseries: Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data. Benjamin Bach, Conglei Shi, Nicolas Heulot, Tara Madhayastha, Tom Grabowski, Pierre Dragicevic. TVCG 21(1) 2015.
  • Slides: pdf, pdf 16up
• Ye timeseries: TimeNotes: A Study on Effective Chart Visualization and Interaction Techniques for Time-Series Data. James Walker, Rita Borgo, Mark Jones. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Yasha timeseries: ThemeDelta: Dynamic Segmentations over Temporal Topic Models. Samah Gad, Waqas Javed, Sohaib Ghani, Niklas Elmqvist, Tom Ewing, Keith N. Hampton, Naren Ramakrishnan. TVCG 21(5) 2015.
  • Slides: pdf, pdf 16up
• Rex masses: How do People Make Sense of Unfamiliar Visualization?: A Grounded Model of Novice's Information Visualization Sensemaking. Authors: Sukwon Lee, Sung-Hee Kim, Ya-Hsin Hung, Heidi Lam, Youn-ah Kang, Ji Soo Yi. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up

• Jordon text: Guidelines for Effective Usage of Text Highlighting Techniques. Hendrik Strobelt, Daniela Oelke, Bum Chul Kwon, Tobias Schreck, Hanspeter Pfister. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Maggie digital humanities: Poemage: Visualizing the Sonic Topology of a Poem. Nina McCurdy, Julie Lein, Katharine Coles, Miriah Meyer. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Yujie tables: Automatic Selection of Partitioning Variables for Small Multiple Displays. Anushka Anand, Justin Talbot. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Huaying tables: Visually Exploring Transportation Schedules. Cesar Palomo, Zhan Guo, Claudio Silva, Juliana Freire. Proc. VAST 2015.
  • Slides: pdf, pdf 16up

• Kim interaction: Suggested Interactivity: Seeking Perceived Affordances for Information Visualization. Jeremy Boy, Louis Eveillard, Francoise Detienne, Jean-Daniel Fekete. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Carolina evaluation: Representing Uncertainty in Graph Edges: An Evaluation of Paired Visual Variables. Hua Guo, Jeff Huang, David H. Laidlaw. TVCG 21(1) 2015.
  • Slides: pdf, pdf 16up
• Neil evaluation: Visual Encodings of Temporal Uncertainty: A Comparative User Study. Theresia Gschwandtner, Markus Bogl, Paolo Federico, Silvia Miksch. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Ben final presentation

• Zipeng systems: Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization. Arvind Satyanarayan, Ryan Russell, Jane Hoffswell, Jeffrey Heer. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• Julieta perception: Beyond Memorability: Visualization Recognition and Recall. Michelle A. Borkin, Zoya Bylinskii, Nam Wook Kim, Constance May Bainbridge, Chelsea S. Yeh, Daniel Borkin, Hanspeter Pfister, Aude Oliva. TVCG 22(1) 2016.
  • Slides: pdf, pdf 16up
• course evaluations
• Tamara: wrapup
  Slides: pdf, pdf 16up, key

• Information Visualization, Fall 2014
• Information Visualization, Fall 2011
• Information Visualization, Fall 2009
• Information Visualization, Fall 2007
• Information Visualization, Fall 2006
• Information Visualization, Fall 2005
• Information Visualization, Fall 2004
• Information Visualization, Spring 2004
• Information Visualization, Spring 2003