Instructor: Tamara Munzner
First Class: Tue Jan 3 2017
Time/Location: Tue/Thu 3:30-5, DMP 101 FSC 2300A
Office Hours: Tue 5-6 or by appointment. X661 ICICS/CS Bldg (X Wing)
UBC Cal Page: CPSC 547

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 so you can read it for free: 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$107 from amazon.ca and CD$112 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 for free, 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

Slides: pdf, pdf 16up, keynote

Further Reading

• In-Class Exercise: Time Series
  • Cluster-Calendar paper
  • Stack Zooming video, paper
  • ChronoLenses video, paper
  • RankExplorer video, paper
  • LiveRAC video, paper
• 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 (Why Do It?) Further Reading
• Ch 2 (Data Abstractions) Further Reading

• VAD Chapter 3. Why: Task Abstraction
• paper 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: theory/model]

Slides: pdf, pdf 16up, keynote

In-Class Exercise: Abstraction (source: Bertini)

Further Reading

• General: pointers to many design studies
• Ch 3 (Task Abstractions) Further Reading

Further Reading

• General
  • Paper Types (InfoVis 2017 Call for Papers)
  • Process and Pitfalls in Writing Information Visualization Research Papers. Tamara Munzner Chapter from Information Visualization: Human-Centered Issues and Perspectives. Andreas Kerren, John T. Stasko, Jean-Daniel Fekete, Chris North, eds. Springer LNCS Volume 4950, p 134-153, 2008.
• Ch 4 (Validation) Further Reading

• VAD Chapter 5. Marks and Channels
• 39 Studies About Human Perception in 30 Minutes, Kennedy Elliott. either read blog post, or watch talk video

Exercise: Decoding (source: Bertini)

Further Reading

• Ch 5 (Marks and Channels) Further Reading

• 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]

Further Reading

• Ch 6 (Rules of Thumb) Further Reading

• What I Learned Recreating One Chart Using 24 Tools, Lisa Charlotte Rost
• D3: Data-Driven Documents. Michael Bostock, Vadim Ogievetsky, Jeffrey Heer. IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2011. [type: system]

• Vis Design Resources, Programming Section: D3 resources are at the start of this section

In-Class Exercise: Sets (source: Adar)

Further Reading

• Ch 7 (Table Data) Further Reading

• VAD Chapter 8. Arrange Spatial Data
• Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. Bilal Alsallakh, Wolfgang Aigner, Silvia Miksch, and Helwig Hauser. IEEE Transactions on Visualization and Computer Graphics (Proc InfoVis 2013), 19(12):2496-2505, 2013. see also video

Further Reading

• Ch 8 (Spatial Data) Further Reading

• 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. [type: algorithm]

Further Reading

• In-Class Exercise: Tennis
  • Visualizing a tennis match. Liqun Jin and David C. Banks. Proc. InfoVis 1996, p 108-114.
  • TennisViewer: a browser for competition trees. Liqun Jin and David C. Banks. IEEE Computer Graphics and Applications, 17(4):63-65, 1997.
• Ch 9 (Network Data) Further Reading

Demos:

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

Further Readings

• 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
• Ch 10 (Color) Further Reading

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

Further Readings

• 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.
• Ch 11 (Manipulate) Further Reading

• VAD Chapter 12. Facet into Multiple Views
• Paper: BallotMaps: Detecting name bias in alphabetically ordered ballot papers. Wood, J., Badawood, D., Dykes, J. & Slingsby, A. (2011). IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 2384-2391.

Further Reading

• Ch 12 (Multiple Views) Further Reading

Slides: pdf, pdf 16up

Further Reading

• Ch 13 (Reduce) Further Reading

Videos: Multivariate Network Exploration and Presentation, Vismon, TreeJuxtaposer

Further Reading

• Ch 14 (Embed) Further Reading

Further Reading

General
• 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.
• Ch 15 (Case Studies) Further Reading

• Dilan interaction: Visualization by Demonstration: An Interaction Paradigm for Visual Data Exploration. Bahador Saket, Hannah Kim, Eli T. Brown, and Alex Endert. TVCG 23(1):330-340 2017 (Proc. InfoVis 2016).
  • Slides: pdf, pdf 16up
• Melissa psychophysics: A Psychophysical Investigation of Size as a Physical Variable. Yvonne Jansen, Kasper Hornbaek. TVCG 22(1):479-488 2016, Proc. InfoVis 2015.
  • Slides: pdf, pdf 16up
• Madison perception: A Systematic Review of Experimental Studies on Data Glyphs. Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Daniel Keim. IEEE TVCG early access preprint.
  • Slides: pdf, pdf 16up

• Lovedeep dimensionality reduction: Approximated and User Steerable tSNE for Progressive Visual Analytics. Nicola Pezzotti, Boudewijn Lelieveldt, Laurens van der Maaten, Thomas Hollt, Elmar Eisemann, Anna Vilanova. IEEE TVCG early access preprint.
  • Slides: pdf, pdf 16up
• Mahdi deep learning: Towards Better Analysis of Deep Convolutional Neural Networks. Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu. IEEE TVCG 23(1) 2017 (Proc. VAST 2016). Demo.
  • Slides: pdf, pdf 16up
• Auggy data management: Hashedcubes: Simple, Low Memory, Real-Time Visual Exploration of Big Data. Cicero A. L. Pahins, Sean A. Stephens, Carlos Scheidegger, Joao L. D. Comba. IEEE TVCG 23(1) 2017 (Proc. InfoVis 2016).
  • Slides: pdf, pdf 16up

• Soheil time series: ViDX: Visual Diagnostics of Assembly Line Performance in Smart Factories. Panpan Xu, Honghui Mei, Liu Ren, Wei Chen. IEEE TVCG 23(1) 2017 (Proc. VAST 2016). (best paper honorable mention)
  • Slides: pdf, pdf 16up
• Arash time series: ThermalPlot Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor. Holger Stitz, Samuel Gratzl, Wolfgang Aigner, and Marc Streit. IEEE TVCG 22(12):2594-2607 2016.
  • Slides: pdf, pdf 16up
• Yann sports vis: Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction. M. Stein, J. Haussler, D. Jackle, H. Janetzko, T. Schreck and D. A. Keim. ISPRS International Journal of Geo-Information, Special Issue Advances in Spatio-Temporal Data Analysis and Mining, 2015.
  • Slides: pdf, pdf 16up

• Jodi software vis: Towards Actionable Visualisation in Software Development. Leonel Merino, Mohammad Ghafari, and Oscar Nierstrasz. Proc. VisSoft 2016 (best paper).
  • Slides: pdf, pdf 16up
• Nick software vis: Merge-tree: Visualizing the integration of commits into Linux. Evan Wild and Daniel German. Proc. VisSoft 2016.
  • Slides: pdf, pdf 16up
• Matthew focus+context: Visualization for Visibility-Aware Urban Planning. Thomas Ortner, Johannes Sorger, Harald Steinlechner, Gerd Hesina, Harald Piringer, Eduard Groller. IEEE TVCG 23(2):1139-1151 2017.
  • Slides: pdf, pdf 16up

• James medical vis: PROACT: Iterative Design of a Patient-Centered Visualization for Effective Prostate Cancer Health Risk Communication. Anzu Hakone, Lane Harrison, Alvitta Ottley, Nathan Winters, Caitlin Gutheil, Paul K. J. Han, Remco Chang. TVCG 23(1):601-610 2017 (Proc. InfoVis 2016).
  • Slides: pdf, pdf 16up
• Hooman genomics vis: PhenoStacks: Cross-Sectional Cohort Phenotype Comparison Visualizations. Michael Glueck, Alina Gvozdik, Fanny Chevalier, Azam Khan, Michael Brudno, Daniel Wigdor. TVCG 23(1):191-200 2017 (Proc. InfoVis 2016).
  • Slides: pdf, pdf 16up
• Alistar animation: Visualization, Selection, and Analysis of Traffic Flows. Roeland Scheepens, Christophe Hurter, Huub Van De Wetering, Jarke J. Van Wijk. IEEE TVCG 22(1):379-388 2016 (Proc. InfoVis 2015).
  • Slides: pdf, pdf 16up

• David NLP vis: Visualizing Social Media Content with SentenTree. Mengdie Hu, Krist Wongsuphasawat, John Stasko. IEEE TVCG 23(1):621-630 2017 (Proc. InfoVis 2016).
  • Slides: pdf, pdf 16up
• Austin graph abstraction: Evaluation of Graph Sampling: A Visualization Perspective. Yanhong Wu, Nan Cao, Daniel Archambault, Qiaomu Shen, Huamin Qu, and Weiwei Cui. IEEE TVCG 23(1):401-410 2017 (Proc. InfoVis 2016).
  • Slides: pdf, pdf 16up
• Stewart computer network vis: Understanding the context of network traffic alerts. Bram C. M. Cappers and Jarke J. van Wijk. Proc. VizSec 2016.
  • Slides: pdf, pdf 16up

• Felix cartography: Visual Encoding of Dissimilarity Data via Topology-Preserving Map Deformation. Quirijn W. Bouts, Tim Dwyer, Jason Dykes, Bettina Speckmann, Sarah Goodwin, Nathalie Henry Riche, Sheelagh Carpendale, Ariel Liebman. IEEE TVCG 22(9):2200-2213 2016.
  • Slides: pdf, pdf 16up
• in-class project work session

Slides: pdf, pdf 16up, keynote

Further Reading

• Process and Pitfalls in Writing Information Visualization Research Papers. Tamara Munzner. Chapter from Information Visualization: Human-Centered Issues and Perspectives. Andreas Kerren, John T. Stasko, Jean-Daniel Fekete, Chris North, eds. Springer LNCS Volume 4950, p 134-153, 2008.
• Reproducible Research in Signal Processing - What, why, and how. Patrick Vandewalle, Jelena Kovacevic and Martin Vetterli. IEEE Signal Processing Magazine, 26(3):37-47, May 2009.
• Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications.. Gordon Kindlmann, Ross Whitaker, Tolga Tasdizen, and Torsten Möller. IEEE Visualization 2003.
• 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.
• Why most published research findings are false.. JPA Ioannidis, PLoS Med 2(8): e124, 2005.
• Storks Deliver Babies (p= 0.008). Robert Matthews, Teaching Statistics 22(2) 2000.
• 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.
• Menchsplaining: Three Ideas for Civil Criticism, Uri Simonsohn, Data Colada blog.
• What I Want Our Field to Prioritize, Joe Simmons, Data Colada blog.
• Simine Vazier, Sometimes I'm Wrong blog, Scientific Integrity category
• What Has Happened Down Here Is The Winds Have Changed, Andrew Gelman; Statistical Modeling, Causal Inference, and Social science blog.

• Information Visualization, Fall 2015
• Information Visualization, Fall 2014
• Information Visualization, Fall 2011
• Information Visualization, Fall 2009
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• Information Visualization, Fall 2006
• Information Visualization, Fall 2005
• Information Visualization, Fall 2004
• Information Visualization, Spring 2004
• Information Visualization, Spring 2003