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Syllabus

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Contents

Overview

Week Dates Topic Content Homework/Assignment
1 2.28 信息可视化之美 信息可视化的基本概念、内在价值、主要目标,介绍其发展历史、学科范围及应用场景。
2 3.7 No Class
3 3.14 视觉感知与信息可视化设计 人类视觉感知的基本理论及由此衍生的信息可视化设计主要原则,信息可视化的基本流程。 [作业1布置]
4 3.21 可视数据模型与探索式可视分析 可视化相关数据模型,典型抽象数据类型及特点,可视分析基本理论与流水线。
5 3.28 文本及文档可视化 海量文档集合可视化,文本时序趋势可视化,话题可视化与可视分析。 [作业1截止] [作业2布置]
6 4.4 交互设计 可视化交互设计方法、全局+细节、焦点+上下文交互模式。
7 4.11 网络及层次可视化 基本网络关联数据类型可视化、超大规模、动态、异构网络可视化,层次及树型结构数据可视化。 [作业1评估结果、展示] [作业2截止]
8 4.18 大规模数值模拟科学可视化 [Guest Lecture I] By Guihua Shan [作业3布置]
9 4.25 可视化软件工具及系统 基于Java/JavaScript/Flex的主要开源可视化软件工具,在线可视化系统,D3演示。 [课程大作业布置、开始分组]
10 5.4 时间序列及时空数据可视化 时变数据可视分析方法,典型时空数据场景及可视化案例。 [作业2评估结果、展示] [作业3截止]
11 5.9 多维及多变量数据可视化 高维数据可视化方法,多变量数据可视化。 [课程大作业分组截止][课程大作业进度检查,题目讨论]
12 5.16 可视化评价方法 通过用户调研评价可视化设计及有效性的主要流程与方法。
13 5.23 信息可视化及可视分析前沿 信息可视化领域近期热点研究方向选讲。 [作业3评估结果、展示]
14 5.30 大作业汇报与展示 I
15 6.6 大作业汇报与展示 II
16 6.13 开卷考试(1小时)
17 6.30 (Tentative) Poster Session / Guest Lecture II

Detail

Feb.28 -- 信息可视化之美

  • Notes
  1. L1-beauty of infovis.pdf
  2. L2-course design.pdf
  3. L3-value of visualization.pdf
  • Readings
  1. Chapter 1 from Edward Tufte's book: Visual Display of Quantitative Information, Second Edition.
  2. Excerption on London Cholera Epidemic from Edward Tufte's book: Visual Explanations, [PDF].
  3. Excerption on Space Shuttle Challenger’s Disaster from Edward Tufte's book: Visual Explanations, [PDF].
  4. Graphs in Statistical Analysis. F. J. Anscombe. The American Statistician, Vol. 27, No. 1 (Feb., 1973), pp. 17-21[PDF]
  5. The Value of Visualization. Jarke van Wijk. Visualization 2005 [PDF]
  6. J.-D. Fekete, J. van Wijk, J. Stasko, C. North, "The Value of Information Visualization", in Information Visualization: Human-Centered Issues and Perspectives, (Editors: A. Kerren, J. Stasko, J.-D. Fekete, C. North), Springer, 2008, pp. 1-18.[PDF]
  • Additional Papers
  1. Daniel Keim, "Information Visualization and Visual Data Mining", IEEE Trans. on Visualization and Computer Graphics, Vol. 8, No. 1, Jan-Mar 2002
  2. Chris North, "Information Visualization", chapter in Handbook of Human Factors and Ergonomics, 3rd Edition, G. Salvendy (editor), New York: John Wiley & Sons, 2005
  • Links
  1. Challenger disaster - Wikipedia page about accident
  2. Criticism of Tufte's analysis from Online Ethics Center for Engineering and Research
  3. NameVoyager of the Baby Name Wizard
  4. Obama jobs infographic
  5. The Three Sexy Skills of Data Geeks - Dataspora
  6. Data Visualization Is Reinventing Online Storytelling - Advertising Age
  7. Internete Traffic - Wired
  8. Top 50 Banks - Guardian
  9. Beer
  10. Wordle - text visualization Wordle - text visualization
  11. InfoVis Wiki
  12. Infosthetics Blog
  13. Flowing Data
  14. Visual.ly
  • Other Resources

Mar.14 -- 视觉感知与信息可视化设计

  • Notes
  1. L4-perception.pdf [There is an update in this file]
  2. L5-visualization_design_I.pdf
  • Readings
   If you're interested in visualization design:
  1. Chapter 2 from "The Visual Display", Edward Tufte
  2. Chapter 4 from "The Visual Display", Edward Tufte
  3. A Conversation with Jeff Heer, Martin Wattenberg, and Fernanda Viegas, ACM Queue
  4. The representation of numbers. Zhang and Norman. (pdf)
   If you're interested in visual perception:
  1. Chapter 1-4 from by Colin Ware's book: Information Visualization: Perception for Design, Third Edition.
  2. Perception in visualization. Healey
  • Additional Papers
  1. C.Healey, "Perception in Visualization," NC State
  2. Gestalt and composition. In Course #13, SIGGRAPH 2002. Durand
  3. The psychophysics of sensory function. Stevens
  4. Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design. Heer & Bostock. ACM CHI 2010
  5. Sharing Visualizations with the World , ACM Queue
  • Links
  1. Visual perception and data visualization CHI '00 tutorial
  2. Color labeling via Mechanical Turk
  3. Interactive color challenge
  4. Himba see colors differently from boreme
  5. Color names from xkcd
  6. Maureen Stone's site
  7. http://www.michaelbach.de/ot/index.html
  8. Change blindness picture examples, from UBC
  • Other Resources
  1. GapMinder
  2. 外交部发言人表态可视化分析
  3. GapMinder video demo, very cool!

Mar.21 -- 可视数据模型与探索式可视分析

  • Notes
  1. L6_visualization_design_II.pdf
  2. L7_DataModel_Task_and_Explorative_Visual_Analysis.pdf
  • Readings
  1. The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, Shneiderman, Proc. IEEE Conference on Visual Languages, Boulder 1996. (pdf)
  2. Chapter 5-6 from by Colin Ware's book: Information Visualization: Perception for Design, Third Edition.
  3. [Chapter 3: Sources of Graphical Integrity, In The Visual Display of Quantitative Information. Tufte.]
  4. [Chapter 5: Chartjunk, In The Visual Display of Quantitative Information. Tufte.]
  • Additional Papers
  1. Low-Level Components of Analytic Activity in Information Visualization.Robert Amar, James Eagan, and John Stasko. IEEE InfoVis 2005 (pdf)
  2. The Structure of the Information Visualization Design Space.Stuart Card and Jock Mackinlay.InfoVis 97. (pdf)
  • Links
  1. Exploratory Data Analysis, Wikipedia
  2. Levels of Measurement, Wikipedia.
  • Other Resources
  1. [Chapter 2: Macro/Micro Readings, In Envisioning Information. Tufte.]
  2. [Chapter 4: Small Multiples, In Envisioning Information. Tufte.]
  3. [Chapter 8: Data Density and Small Multiples, In The Visual Display of Quantitative Information. Tufte.]
  4. On the theory of scales of measurement. S.S. Stevens.(pdf)
  5. Exploratory Data Analysis, NIST Engineering Statistics Handbook

Mar.28 -- 文本及文档可视化

  • Notes
  1. L8_Text_and_Document_Visualization_I.pdf
  2. L8_Text_and_Document_Visualization_II.pdf
  • Readings
  1. Information Visualization for Search Interfaces, Marti Hearst, Search User Interfaces, Chapter 10. (html)
  2. Information Visualization for Text Analysis, Marti Hearst, Search User Interfaces, Chapter 11. (html)
  3. Mapping Text with Phrase Nets. Frank van Ham, Martin Wattenberg, Fernanda B. Viégas. IEEE InfoVis 2009. (pdf)
  4. F. Viegas, M. Wattenberg, "Tag Clouds and the Case for Vernacular Visualization", interactions, Vol. 15, No. 4, Jul-Aug 2008, pp. 49-52.
  5. D.A. Keim and D. Oelke, "Literature Fingerprinting: A New Method for Visual Literary Analysis", Proc. of IEEE VAST '07, Oct. 2007, pp. 115-122.
  6. Interpretation and Trust: Designing Model-Driven Visualizations for Text Analysis. Chuang et al. CHI 2012 (html)
  7. Mapping Text with Phrase Nets. Frank van Ham, Martin Wattenberg, Fernanda B. Viégas. InfoVis 2009. (pdf)
  8. Termite: Visualization Techniques for Assessing Textual Topic Models. Chuang et al. AVI 2012 (html)


  • Additional Papers
  1. C. Görg, et al, "Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw", IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 10, Oct. 2013, pp. 1646-1663.
  2. S. Havre, B. Hetzler, and L. Nowell, "ThemeRiver: Visualizing Theme Changes over Time", Proceedings of the 2000 IEEE Information Visualization Symposium, Salt Lake City, Oct. 2000, pp. 115-123.
  3. M. Hearst, "Tilebars: Visualization of Term Distribution Information in Full-Text Information Access," Proc. of CHI '95, May 2005, pp. 59-66.
  4. B. Lee, et al, "Understanding Research Trends in Conferences using PaperLens", CHI '05 Late Breaking Results, May 2005, pp. 1969-1972.
  5. X. Lin, "Visualization for the Document Space," Proc. of Visualization '92, Oct. 1992, pp. 274-281.
  6. J. Novak and A. Canas, "The origins of the concept mapping tool and the continuing evolution of the tool", Information Visualization, Vol. 5, No. 3, Autumn 2006, pp. 175-184.
  7. F. Viegas, M. Wattenberg, J. Feinberg, "Participatory Visualization with Wordle", IEEE Trans. on Visualization and Computer Graphics, Vol. 15, No. 6, Nov.-Dec. 2009, pp. 1137-1144.
  8. M. Wattenberg, F. Viegas, "The Word Tree, an Interactive Visual Concordance", IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 6, Nov.-Dec. 2008, pp. 1245-1252.
  9. J. Wise, "Visualizing the Non-Visual: spatial analysis and interaction with information from text documents," Proceedings of the Information Visualization '95 Conference, Atlanta, GA, Oct. 1995, pp. 51-58.
  • Links
  1. Baby name
  2. Many Eyes, Tag clouds and Word Trees
  3. Wordle
  4. Voyant Tools
  5. Concordance software
  6. TextArc
  7. Jigsaw, Georgia Tech
  8. stamen


  • Other Resources
  1. TileBars, UC Berkeley, CHI '96
  2. Mani-Wordle, Seoul Natl. Univ., InfoVis '10
  3. FeatureLens, Maryland, CIKM '07
  4. Document Cards, Univ. Konstanz, InfoVis '09.
  5. Bohemian Bookshelf, Calgary
  6. PaperLens, MSR, CHI '05
  7. Jigsaw, Georgia Tech, VAST '07
  8. Jigsaw (academic papers), Georgia Tech, TVCG '13
  9. Jigsaw (car reviews), Georgia Tech, TVCG '13
  10. FacetAtlas, IBM, InfoVis '10.
  11. SPIRE, PNL, InfoVis '95

Apr.4 -- 交互设计

  • Notes
  1. L9_Interaction.pdf
  • Readings
  1. Visual information seeking: Tight coupling of dynamic query filters with starfield displays, Ahlberg & Shneiderman. (html)
  2. Visual exploration of time-series data, Hochheiser & Schneiderman. (html) (pdf)
  3. The visual design and control of the trellis display. Becker, Cleveland and Shyu. (ps)
  4. Interactive Dynamics for Visual Analysis, Heer & Shneiderman.(pdf)
  5. Postmortem of an Example, Bertin.(pdf)
  6. Visual Queries for Finding Patterns in Time Series Data. Hochheiser & Shneiderman.(pdf)
  7. Generalized Selection via Interactive Query Relaxation. Heer, Agrawala, Willett. CHI 2008.(pdf)
  8. The Cognitive Coprocessor Architecture for Interactive User Interfaces. George Robertson, Stuart K. Card, and Jock D. Mackinlay. UIST 1989. (pdf)
  9. Exploration of the Brain's White Matter Pathways with Dynamic Queries. Akers, Sherbondy, Mackenzie, Dougherty, Wandell. Visualization 2004.(html)
  10. Now You See It, chapter 4
  11. J.S. Yi, Y.A. Kang, J.T. Stasko and J.A. Jacko, "Toward a Deeper Understanding of the Role of Interaction in Information Visualization", IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 6, Nov/Dec 2007, pp. 1224-1231.
  • Additional Papers
  1. A. Dix and G. Ellis, "Starting Simple - adding value to static visualisation through simple interaction." Proc. of AVI '98, May 1998, pp. 124-134.
  2. N. Elmqvist, A. Vande Moere, H-C. Jetter, D. Cernea, H. Reiterer, and TJ Jankun-Kelly, "Fluid interaction for information visualization", Information Visualization, Vol. 10, No. 4, Oct. 2011, pp. 327-340.
  3. J. Heer, M. Agrawala, W. Willett, "Generalized Selection via Interactive Query Relaxation", Proc. of CHI '08, Apr 2008, pp. 959-968.
  4. B. Shneiderman, "Dynamic Queries for Visual Information Seeking", IEEE Software, Vol. 11, No. 6, pp. 70-77, 1994.
  5. R. Spence and L. Tweedie, "The Attribute Explorer: information synthesis via exploration", Interacting with Computers, Vol. 11, pp. 137-146, 1998.
  • Links
  1. ggobi
  2. Homefinder
  3. Cellphones
  4. Fry's zipdecode
  5. Wattenberg's NameVoyager
  6. LA Homicides. Heer's example of generalized selection.
  7. Interactive histogram from Alan Dix.
  8. Excentric labeling from Maryland.
  9. Visual Thesaurus
  10. Interactive house finder.
  11. Google maps mash-up of homefinder style tool.
  12. Cellphone chooser with dynamic queries.


  • Other Resources
  1. Classic systems on stat-graphics.org
  2. FilmFinder, Univ. Maryland, CHI '94
  3. Explorer, Imperial College UK, CHI '94
  4. Magic Lens & See Through Tools, Xerox PARC, CHI '94 & '95
  5. Dust & Magnet, Information Visualization '05
  6. FacetMap, MSR, InfoVis '06
  7. Generalized Selection, Stanford, CHI '08

Apr.11 -- 网络及层次可视化

  • Notes
  1. L10_Network_Visualization_I.pdf
  2. L10_Network_Visualization_II.pdf
  • Readings
  1. A. Perer, B. Shneiderman, "Balancing Systematic and Flexible Exploration of Social Networks," IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 5, Sep.-Oct. 2006, pp. 693-700.
  2. ManyNets: An Interface for Multiple Network Analysis and Visualization. Freire et al. CHI 2010. (pdf)
  3. Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data. Danny Holten. InfoVis 2006. (pdf)
  4. Vizster: Visualizing Online Social Networks. Heer & boyd. InfoVis 2005. (pdf)
  • Additional Papers
  1. D. Holten, "Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data," IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 5, Sep.-Oct. 2006, pp. 741-748.
  2. B. Lee, C. Parr, C. Plaisant, B. Bederson, V. Veksler, W. Gray, and C. Kotfila "TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts", IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 6, Nov.-Dec. 2006, pp. 1414-1426.
  3. B. Shneiderman, A. Aris, "Network Visualization by Semantic Substrates," IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 5, Sep.-Oct. 2006, pp. 733-740.
  • Links
  1. Force-directed example, Protovis, Stanford
  2. Social network analysis
  3. TouchGraph
  4. Planarity - graph layout game
  5. Atlas of Cyberspace
  • Other Resources
  1. Ploceus, Georgia Tech, VAST '11

Apr.18 -- 大规模数值模拟科学可视化 [Guest Lecture I]

  • Notes
  1. 大规模数值模拟可视化.pdf
  • Readings
  • Additional Papers
  • Links
  • Other Resources

Apr.25 -- 可视化软件工具及系统

  • Notes
  1. D3_tutorial.pdf
  2. L12_Information_Visualization_Software_Toolkit_and_Systems.pdf
  • Readings
  1. D3: Data Driven Documents. D3: Data-Driven Documents Bostock, Ogievetsky & Heer. (html)
  2. Work through the D3 tutorials created by Scott Murray
  3. Read through the D3 documentation and tutorials on the d3js.org site
  4. Software Design Patterns for Information Visualization. Heer & Agrawala. IEEE InfoVis 2006. (html)
  5. Protovis: A Graphical Toolkit for Visualization. Bostock & Heer. (pdf)
  6. prefuse: A Toolkit for Interactive Information Visualization. Heer, Card & Landay. ACM CHI 2005. (pdf)
  7. F. Viegas, M. Wattenberg, F. van Ham, J. Kriss, and M. McKeon, "ManyEyes: A Site for Visualization at Internet Scale", IEEE Trans. on Visualization and Computer Graphics, Vol. 13, No. 6, Nov.-Dec. 2007, pp. 1121-1128.
  • Additional Papers
  1. J. Heer, F. Viegas, M. Wattenberg, "Voyagers and Voyeurs: Supporting Asynchronous Collaborative Information Visualization", Proceedings of ACM CHI 2007, April 2007, pp. 1029-1038.
  2. J. Heer, S. Card, J. Landay, "prefuse: a toolkit for interactive information visualization", Proceedings of ACM CHI '05, April 2005, pp. 421-430.
  3. J. Heer, "Software Design Patterns for Information Visualization", IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5, September 2006, pp. 853-860.
  4. C. Weaver, "Building Highly-Coordinated Visualizations in Improvise", Proceedings of IEEE InfoVis '04, October 2004, pp. 159-166.
  • Links
  • Other Resources
  1. prefuse Tutorial by Wolfgang Aigner

May.4 -- 时间序列及时空数据可视化

  • Notes
  1. L14_TimeSeries_Visualization.pdf
  2. L15_Spatiotemporal_DataVisualization.pdf
  • Readings
  1. W. Aigner, S. Miksch, W. Muller, H. Schumann, C. Tominski, "Visual Methods for Analyzing Time-Oriented Data", IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 1, Jan.-Feb. 2008, pp. 47-60.
  2. Arc Length-based Aspect Ratio Selection. Talbot, Gerth & Hanrahan. IEEE TVCG 2011. (#pdf)
  3. Escaping Flatland. Envisioning Information. Tufte.
  4. Space-scale diagrams: Understanding Multi-Scale Interfaces. Furnas and Bederson, CHI 1995. (#pdf)
  5. An Extension of Wilkinson’s Algorithm for Positioning Tick Labels on Axes. Tablot, Lin & Hanrahan. IEEE TVCG 2010. (#pdf)
  6. Stacked Graphs – Geometry & Aesthetics. Byron & Wattenberg. InfoVis 08. (#pdf)
  7. Graphical Methods for Data Presentation: Full Scale Breaks, Dot Charts, and Multibased Logging. Cleveland. (#pdf)
  8. Multi-Scale Banking to 45 Degrees. Heer & Agrawala. (#pdf)
  9. An Empirical Model of Slope Ratio Comparisons. Talbot et al. (#html)
  10. Pad++: A zooming graphical interface for exploring alternate interface physics, Bederson & Hollan (#acm)
  11. Generalized fisheye views, Furnas. (#acm)
  12. Hyperdimensional data analysis using parallel coordinates, Wegman (#jstor)
  13. A framework for unifying presentation space, Carpendale & Montagnese. (#acm)
  14. Rendering effective routemaps, Agrawala & Stolte (#pdf)
  15. Artistic resizing, Dragicevic et al. (#acm)
  16. Adaptive grid-based document layout, Jacobs et al. (#acm)
  17. A general cartographic labeling algorithm, Edmondson, Marks & Shieber (#pdf)
  18. A survey of automated layout techniques for information presentations, Lok and Feiner (#pdf)
  19. Dynamic space management for user interfaces, Bell & Feiner (#pdf)
  • Additional Papers
  1. L. Byron & M. Wattenberg, "Stacked Graphs - Geometry & Aesthetics", IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 6, Nov.-Dec. 2008, pp. 1245-1252.
  2. H. Hochheiser and B. Shneiderman. "Dynamic query tools for time series data sets: Timebox widgets for interactive exploration," Information Visualization, Vol. 3, No. 1, Spring 2004, pp. 1-18.
  3. T. Kapler and W. Wright, "GeoTime Information Visualization", Information Visualization, Vol. 4, No. 2, Summer 2005, pp. 136-146.
  4. P. McLachlan, T. Munzner, E. Koutsofios, and S. North, "LiveRAC: interactive visual exploration of system management time-series data," Proc. of CHI '08, April 2008, pp. 1483-1492.
  5. C. Plaisant, et al, "LifeLines: Visualizing Personal Histories." Proc. of CHI '96, pp 221-227.
  6. J. van Wijk and E. van Selow, "Cluster and Calendar based Visualization of Time Series Data", Proc. of InfoVis '99, Oct. 1999, pp. 4-9.
  • Links
  1. The TimeViz Browser
  2. LifeLines, Maryland
  3. LifeLines2, Maryland
  4. Movie character timelines
  5. browser percentage of market
  6. Movie receipts over time from NY Times
  7. History flow from IBM
  8. History of Sampling
  9. Nomography
  10. Cartogram central
  11. Map labeling bibliography
  12. Excentric labels
  • Other Resources

May.9 -- 多维及多变量数据可视化

  • Notes
  1. L13_Multivariate_Data_Visualization_I.pdf
  • Readings
  1. A. Inselberg, "Multidimensional Detective," Proceedings of IEEE InfoVis '97, pp. 100-107, 1997.
  2. D. Keim, M. Hao, U. Dayal, and M. Hsu, "Pixel Bar Charts: A visualization technique for very large multi-attribute data sets", Information Visualization, Vol. 1, No. 1, March 2002, pp. 20-34.
  3. Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases. Stolte, Tang, and Hanrahan. IEEE TVCG 2002.
  4. Multidimensional detective. A. Inselberg. InfoVis 1997.
  5. Dynamic queries, starfield displays, and the path to Spotfire. Shneiderman. (html)
  6. Chapter 2: Macro/Micro Readings, In Envisioning Information. Tufte.
  7. Chapter 4: Small Multiples, In Envisioning Information. Tufte.
  • Additional Papers
  1. R. Kosara, F. Bendix, and H. Hauser, "Parallel Sets: Interactive Exploration and Visual Analysis of Categorical Data", IEEE Trans. on Visualization and Computer Graphis, Vol. 12, No. 4, pp. 558-568. InfoVis '05, October 2005, pp. 133-140.
  2. T. Lanning, K. Wittenburg, M. Heinrichs, C. Fyock, and G. Li, "Multidimensional Information Visualization through Sliding Rods", Proc. of AVI 2000, May 2000, pp. 173-180.
  3. R. Rao and S.K. Card, "The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+Context Visualization for Tabluar Information", Proceedings of ACM CHI '94, Apr. 1994, pp. 318-322.
  4. J. Seo and B. Shneiderman, "A rank-by-feature framework for interactive exploration of multidimensional data", Information Visualization, Vol. 4, No. 2, Summer 2005, pp. 96-113.
  5. R. Spence and L. Tweedie, "The Attribute Explorer: information synthesis via exploration", Interacting with Computers, Vol. 11, pp. 137-146, 1998.
  6. M. Spenke, C. Beilken, T. Berlage, "FOCUS: The Interactive Table for Product Comparison and Selection." Proceedings of ACM UIST '96, Nov. 1996, pp. 41-50.
  7. J. S. Yi, R. Melton, J. Stasko, and J. Jacko, "Dust & Magnet: Multivariate Information Visualization using a Magnet Metaphor," Information Visualization, Vol. 4, No. 4, Winter 2005, pp. 239-256.
  • Links
  1. Chernoff faces
  2. Finding NY tax cheats, Application of parallel coordinates
  • Other Resource
  1. Table Lens, Xerox PARC, CHI '95
  2. Attribute Explorer, Imperial College UK, CHI '94
  3. EZChooser from MERL
  4. Angular brushing from VRVis
  5. Parallel Sets from InfoVis '05
  6. Dust & Magnet, Information Visualization '05
  7. Untangling Euler Diagrams from MSR, InfoVis '10
  8. FLINA View from TU Eindhoven, InfoVis '11

May.16 -- 可视化评价方法

  • Notes
  1. L16_Evaluation.pdf
  • Readings
  1. S. Carpendale, "Evaluating Information Visualizations", in Information Visualization: Human-Centered Issues and Perspectives, (Editors: A. Kerren, J. Stasko, J.-D. Fekete, C. North), Springer, 2008, pp. 19-45.
  2. A Nested Model for Visualization Design and Validation. Tamara Munzner. InfoVis 2009 (#pdf)
  • Additional Papers
  1. S. Bateman, et al, "Useful Junk? The Effects of Visual Embellishment on Comprehension and Memorability of Charts", Proc. of ACM CHI '10, April 2010, pp. 2573-2582.
  2. C. M. Danis, F. B. Viegas, M. Wattenberg, J. Kriss, "Your place or mine?: visualization as a community component", Proc. of ACM CHI '08, April 2008, pp. 275-284.
  3. Y. Kang, C. Gorg, J. Stasko, "How Can Visual Analytics Assist Investigative Analysis? Design Implications from an Evaluation," IEEE Trans. on Visualization and Computer Graphics, Vol. 17, No. 5, May 2011, pp. 570-583.
  4. H. Lam, E. Bertini, P. Isenberg, C. Plaisant, and S. Carpendale. "Empirical Studies in Information Visualization: Seven Scenarios." IEEE Trans. on Visualization and Computer Graphics, Vol. 18, No. 9, Sept. 2012, pp. 1520-1536.
  5. Q. Li and C. North, "Empirical Comparison of Dynamic Query Sliders and Brushing Histograms", Proc. of InfoVis '03, Oct. 2003, pp. 147-154.
  6. A. Perer and B. Shneiderman, "Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis", Proc. of ACM CHI '08, April 2008, pp. 265-274.
  7. C. Plaisant, "The challenge of information visualization evaluation", Proc. of AVI '04, May 2004, pp. 109-116.
  8. C. Plaisant, J.-D. Fekete, G. Grinstein, "Promoting Insight-Based Evaluation of Visualizations: From Contest to Benchmark Repository," IEEE Transactions on Visualization and Computer Graphics, Vol. 14, No. 1, Jan-Feb 2008, pp. 120-134.
  9. G. Robertson, R. Fernandez, D. Fisher, B. Lee, and J. Stasko, "Effectiveness of Animation in Trend Visualization," IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 6, Nov.-Dec. 2008, pp. 1325-1332.
  10. P. Saraiya et al, "An Insight-Based Methodology for Evaluating Bioinformatics Visualizations", IEEE Trans. on Vis. and Computer Graphics, Vol. 11, No. 4, Jul/Aug 2005, pp. 443-456.
  11. B. Shneiderman, C. Plaisant, "Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies", Proc. of BELIV '06, May 2006, pp. 1-7.
  12. J. Stasko, et al, "An Evaluation of Space-Filling Information Visualizations for Depicting Hierarchical Structures", International Journal of Human-Computer Studies, Vol. 53, No. 5, Nov. 2000, pp. 663-694.
  • Links
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May.23 -- 信息可视化及可视分析前沿

  • Notes
  1. L18_HotTopics_in_InfoVis.pdf
  2. Infovis12_iceHockey_talk.pdf
  3. Comparative_keynote2_vaico.pdf
  • Readings
  • Additional Papers
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May.30 -- 大作业汇报与展示 I

Jun.6 -- 大作业汇报与展示 II

Jun.13 -- 开卷考试(1小时)

Jun.30 (Tentative) -- Poster Session / Guest Lecture II

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