Visualization Analysis and Design: Further Reading by Chapter

• 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. What: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.

• Ch 3. Why: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.

• Ch 4. Analysis: Four Levels for Validation
  • 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.

• 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.

• 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.

• Ch 7. Arrange Tables
  • The Structure of the Information Visualization Design Space. Stuart K. Card and Jock D. Mackinlay. Proc InfoVis 1999, pp. 92-99.
  • Visual Techniques for Exploring Databases.. Daniel A. Keim. KDD 1997 Tutorial Notes, 1997.
  • The Grammar of Graphics, 2nd edition. Leland Wilkinson. Springer, 2005.
  • Visualization Course Figures. Michael McGuffin, 2014
  • The Generalized Pairs Plot. John W. Emerson, Walton A. Green, Barret Schloerke, Dianne Cook, Heike Hofmann, and Hadley Wickham. Journal of Computational and Graphical Statistics 22:1 (2012), 79-91.
  • Interactive Dynamics for Visual Analysis: A Taxonomy of Tools That Support the Fluent and Flexible Use of Visualizations. Jeffrey Heer and Ben Shneiderman. Queue 10:2 (2012), 30-55.
  • Sémiologie Graphique: Les diagrammes - Les réseaux - Les cartes. Jacques Bertin. Gauthier-Villard, 1967. Reissued by Editions de l'Ecole des Hautes Etudes en Sciences in 1999.
  • web site: A Brief History of Data Visualization.. Michael Friendly. article: A Brief History of Data Visualization. Michael Friendly. In Handbook of Data Visualization, Computational Statistics, edited by Antony Unwin, Chun-houh Chen, and Wolfgang K. Häaut;rdle, pp. 15-56. Springer, 2008.
  • Visualizing Data. William S. Cleveland. Hobart Press, 1993.
  • ThemeRiver: Visualizing Theme Changes over Time. Susan Havre, Beth Hetzler, and Lucy Nowell. Proc. InfoVis 2000, pp. 9-20.
  • Stacked Graphs Geometry & Aesthetics.. Lee Byron and Martin Wattenberg. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 08) 14:6 (2008), 1245-1252.
  • Bars and Lines: A Study of Graphic Communication.. Jeff Zacks and Barbara Tversky. Memory and Cognition 27:6 (1999), 1073-1079.
  • The Shape Parameter of a Two-Variable Graph. William S. Cleveland, Marylyn E. McGill, and Robert McGill. Journal of the American Statistical Association 83:402 (1988), 289-300.
  • Multi-Scale Banking to 45 Degrees.. Jeffrey Heer and Maneesh Agrawala. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 06) 12:5 (2006), 701-708.
  • The History of the Cluster Heat Map.. Leland Wilkinson and Michael Friendly. The American Statistician 63:2 (2009), 179-184.
  • Seriation and Matrix Reordering Methods: An Historical Overview.. Innar Liiv. Journal of Statistical Analysis and Data Mining 3:2 (2010), 70-91.
  • Parallel Coordinates: A Tool for Visualizing Multi-Dimensional Geometry. Alfred Inselberg and Bernard Dimsdale. Proc. IEEE Conf. Visualization (Vis), 1990.
  • Parallel Coordinates: Visual Multidimensional Geometry and Its Applications. Alfred Inselberg. Springer, 2009.
  • Uncovering Strengths and Weaknesses of Radial Visualizations - An Empirical Approach. Stephan Diehl, Fabian Beck, and Michael Burch. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 10) 16:6 (2010), 935-942.
  • A Survey of Radial Methods for Information Visualization.. Geoffrey M. Draper, Yarden Livnat, and Richard F. Riesenfeld. IEEE Transactions on Visualization and Computer Graphics 15:5 (2009), 759-776.
  • Designing Pixel-Oriented Visualization Techniques: Theory and Applications. Daniel A. Keim. IEEE Transactions on Visualization and Computer Graphics 6:1 (2000), 59-78.
  • Seesoft - A Tool for Visualizing Line Oriented Software Statistics. Stephen G. Eick, Joseph L. Steffen, and Eric E Sumner, Jr. IEEE Transactions on Software Engineering 18:11 (1992), 957-968.
  • Visualization of Test Information to Assist Fault Localization.. James A. Jones, Mary Jean Harrold, and John Stasko. Proc. International Conference on Software Engineering (ICSE), pp. 467-477. ACM, 2002.

• Ch 8. Arrange Spatial Data
  • web site: A Brief History of Data Visualization.. Michael Friendly. article: A Brief History of Data Visualization. Michael Friendly. In Handbook of Data Visualization, Computational Statistics, edited by Antony Unwin, Chun-houh Chen, and Wolfgang K. Härdle, pp. 15-56. Springer, 2008.
  • The Evolution of Thematic Cartography/A Research Methodology and Historical Review.. Alan M. MacEachren. The Canadian Cartographer 16:1 (1979), 17-33.
  • Thematic Cartography and Geovisualization, Third edition. Terry A. Slocum, Robert B. McMaster, Fritz C. Kessler, and Hugh H. Howard. Prentice Hall, 2008.
  • Overview of Visualization. William J. Schroeder and Kenneth M. Martin. In The Visualization Handbook, edited by Charles Hansen and Christopher Johnson, pp. 3-39. Elsevier, 2005.
  • Overview of Volume Rendering.. Arie Kaufman and Klaus Mueller. In The Visualization Handbook, edited by Charles C. Hansen and Christopher R. Johnson, pp. 127-174. Elsevier, 2005.
  • Marching Cubes: A High Resolution 3D Surface Construction Algorithm.. William E. Lorensen and Harvey E. Cline. Computer Graphics (Proc. SIGGRAPH 87) 21:4 (1987), 163-169.
  • A Survey of the Marching Cubes Algorithm. Timothy S. Newman and Hong Yi. Computers & Graphics 30:5 (2006), 854-879.
  • Simplifying Flexible Isosurfaces Using Local Geometric Measures. Hamish Carr, Jack Snoeyink, and Michiel van de Panne. Proc. IEEE Conf. Visualization (Vis) 2004, pp. 497-504.
  • Real-Time Volume Graphics. Klaus Engel, Markus Hadwiger, Joe Kniss, Christof Reza-Salama, and Daniel Weiskopf. A K Peters, 2006.
  • Volume Rendering.. Robert A. Drebin, Loren C. Carpenter, and Pat Hanrahan. Computer Graphics (Proc. SIGGRAPH 88) 22:4 (1988), 65-74.
  • Display of Surfaces from Volume Data. Marc Levoy. IEEE Computer Graphics and Applications 8:3 (1988), 29-37.
  • Interactive Volume Rendering Techniques. Joe Kniss. Master's thesis, University of Utah, Department of Computer Science, 2002. a
  • Multidimensional Transfer Functions for Volume Rendering. Joe Kniss, Gordon Kindlmann, and Charles Hansen. In The Visualization Handbook, edited by Charles Hansen and Christopher Johnson, pp. 189-210. Elsevier, 2005.
  • Overview of Flow Visualization. Daniel Weiskopf and Gordon Erlebacher. In The Visualization Handbook, edited by Charles Hansen and Christopher Johnson, pp. 261-278. Elsevier, 2005.
  • 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 (Proc. Eurographics 09, State of the Art Reports) 6:29 (2010), 1807-1829.
  • 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 (Proc. Eurographics 04) 23:2 (2004), 203-221.
  • The State of the Art in Flow Visualisation: Feature Extraction and Tracking. Frits H. Post, Benjamin Vrolijka, Helwig Hauser, Robert S. Laramee, and Helmut Doleisch. Computer Graphics Forum (Proc. Eurographics 03) 22:4 (2003), 1-17.
  • Imaging Vector Fields Using Line Integral Convolution. Brian Cabral and Leith Casey Leedom. SIGGRAPH 1993, pp. 263-270.
  • Visualization and Processing of Tensor Fields. Joachim Weickert and Hans Hagen, editors. Springer, 2006.
  • An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications. A. Vilanova, S. Zhang, G. Kindlmann, and D. Laidlaw. In Visualization and Processing of Tensor Fields, pp. 121-153. Springer, 2006.
  • Superquadric Tensor Glyphs. Gordon Kindlmann. Proc. Eurographics/IEEE Conference on Visualization (VisSym), pp. 147-154. Eurographics, 2004.

• Ch 9. Arrange Networks and Trees
  • Graph Visualisation in Information Visualisation: A Survey. Ivan Herman, Guy Melançla;on, and M. Scott Marshall. IEEE Transactions on Visualization and Computer Graphics (TVCG) 6:1 (2000), 24-44.
  • Visual Analysis of Large Graphs: State-of-the-Art and Future Research Challenges. von Landesberger et al. Computer Graphics Forum 30:6 (2011), 1719-1749.
  • Simple Algorithms for Network Visualization: A Tutorial.McGuffin.Tsinghua Science and Technology (Special Issue on Visualization and Computer Graphics) 17:4 (2012), 383-398.
  • Just How Dense Are Dense Graphs in the Real World?: A Methodological Note. Guy Melançon. Proc AVI Workshop BEyond time and errors: novel evaLuation methods for Information Visualization (BELIV). ACM, 2006.
  • Drawing on Physical Analogies. Ulrik Brandes. In Drawing Graphs: Methods and Models, LNCS Tutorial, 2025, edited by M. Kaufmann and D.Wagner, LNCS Tutorial, 2025, pp. 71-86. Springer-Verlag, 2001.
  • A Fast Adaptive Layout Algorithm for Undirected Graphs. A. Frick, A. Ludwig, and H. Mehldau. Proc. International Symposium on Graph Drawing (GD 94), Lecture Notes in Computer Science, 894, pp. 388-403. Springer, 1995.
  • Efficient and High Quality Force-Directed Graph Drawing. Yifan Hu. The Mathematica Journal 10 (2005), 37-71.
  • Drawing Large Graphs with a Potential-Field-Based Multilevel Algorithm. S. Hachul and M. Jünger. Proc International Symposium on Graph Drawing (GD 04), Lecture Notes in Computer Science, 3383, pp. 285-295. Springer, 2004.
  • TopoLayout: Multilevel Graph Layout by Topological Features. Daniel Archambault, Tamara Munzner, and David Auber. IEEE Transactions on Visualization and Computer Graphics 13:2 (2007), 305-317.
  • MatrixExplorer: A Dual-Representation System to Explore Social Networks. Nathalie Henry and Jean-Daniel Fekete. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 06) 12:5 (2006), 677-684.
  • NodeTrix: A Hybrid Visualization of Social Networks. Nathalie Henry, Jean-Daniel Fekete, and Michael McGuffin. IEEE Transactions on Computer Graphics and Visualization (Proc. InfoVis 07) 13:6 (2007), 1302-1309.
  • On the Readability of Graphs Using Node-Link and Matrix-Based Representations: A Controlled Experiment and Statistical Analysis. Mohammad Ghoniem, Jean-Daniel Fekete, and Philippe Castagliola. Information Visualization 4:2 (2005), 114-135.
  • Quantifying the Space-Efficiency of 2D Graphical Representations of Trees. Michael J. McGuffin and Jean-Marc Robert. Information Visualization 9:2 (2010), 115-140.
  • web site: treevis.net. article: A Tree Visualization Reference. Hans-Jö rg Schulz. IEEE Computer Graphics and Applications 31:6 (2011), 11-15.
  • The Design Space of Implicit Hierarchy Visualization: A Survey. Hans-Jörg Schulz, Steffen Hadlak, and Heidrun Schumann. IEEE Transactions on Visualization and Computer Graphics 17:4(2011), 393-411.
  • Treemaps: A Space-Filling Approach to the Visualization of Hierarchical Information. Brian Johnson and Ben Shneiderman. Proc IEEE Conference on Visualization (Vis) 1991, pp. 284-291.
  • Perceptual Guidelines for Creating Rectangular Treemaps. Kong, Heer, and Agrawala. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis) 16:6 (2010), 990-998.

• Ch 10. Map Color and Other Channels
  • Information Visualization: Perception for Design, 3rd edition, Colin Ware, Morgan Kaufmann, 2013.
  • A Field Guide To Digital Color, Maureen Stone, AK Peters 2003.
  • Representing Colors as Three Numbers, Maureen Stone, IEEE Computer Graphics and Applications, 25(4), July 2005, pp. 78-85.
  • 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.
  • 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.

• 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.

• Ch 12. Facet into Multiple Views
  • A Review of Overview+Detail, Zooming, and Focus+Context Interfaces. Andy Cockburn, Amy Karlson, and Benjamin B. Bederson. Computing Surveys 41:1 (2008), pp. 1-31.
  • A Guide to Visual Multi-Level Interface Design from Synthesis of Empirical Study Evidence. Heidi Lam and Tamara Munzner. Synthesis Lectures on Visualization Series, Morgan Claypool, 2010.
  • Zooming versus Multiple Window Interfaces: Cognitive Costs of Visual Comparisons. M. Plumlee and C. Ware. Transactions on Computer-Human Interaction (ToCHI) 13:2 (2006), pp. 179-209.
  • Exploring the Design Space of Composite Visualization. Waqas Javed and Niklas Elmqvist. Proc. IEEE Symposium on Pacific Visualization (PacificVis), pp. 1-9. IEEE Computer Society, 2012.
  • Visual Comparison for Information Visualization. Michael Gleicher, Danielle Albers, Rick Walker, Ilir Jusufi, Charles D. Hansen, and Jonathan C. Roberts. Information Visualization 10:4 (2011), pp. 289-309.
  • Guidelines for Using Multiple Views in Information Visualizations. Michelle Q. Wang Baldonado, Allison Woodruff, and Allan Kuchinsky. Proc. International Working Conference on Advanced Visual Interfaces (AVI), pp. 110-119. ACM, 2000.
  • State of the Art: Coordinated & Multiple Views in Exploratory Visualization. Jonathan C. Roberts. Proc. Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV), pp. 61-71. IEEE Computer Society, 2007.
  • Building Highly-Coordinated Visualizations in Improvise. Chris Weaver. Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 159-166. IEEE Computer Society, 2004.
  • Cross-Filtered Views for Multidimensional Visual Analysis. Chris Weaver. IEEE TVCG (2010), pp. 192-204.
  • Configuring Hierarchical Layouts to Address Research Questions. Adrian Slingsby, Jason Dykes, and Jo Wood. IEEE TVCG (Proc. InfoVis 2009), pp. 977-984.
  • Spatially Ordered Treemaps. Jo Wood and Jason Dykes. IEEE TVCG (Proc. InfoVis 2008), pp. 1348-1355.
  • 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, pp. 39-63. Eurographics, 2013.
  • Multivariate Data Glyphs: Principles and Practice. Matthew O. Ward. In Handbook of Data Visualization, Computational Statistics, edited by Antony Unwin, Chun-houh Chen, and Wolfgang K. Härdle, pp. 179-198.
  • Information Visualization: Perception for Design Colin Ware. Third edition. Morgan Kaufmann, 2013.
  • A Taxonomy of Glyph Placement Strategies for Multidimensional Data Visualization. Matthew O. Ward. Information Visualization 1:3-4 (2002), pp. 194-210.
  • 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 2012), pp. 2603-2612.
  • Color Enhanced Star Plot Glyphs - Can Salient Shape Characteristics Be Overcome? Alexander Klippel, Frank Hardisty, Rui Li, and Chris Weaver. Cartographica 44:3 (2009), 217-231.
  • Brushing Scatterplots Richard A. Becker and William S. Cleveland. Technometrics 29 (1987), 127-142.
  • Linked Data Views Graham J. Wills. Technometrics 29 (1987), 127-142.
  • Get It Right in Black and White. Maureen Stone. Functional Color, 2010.
  • Dot Plots: A Useful Alternative to Bar Charts. Naomi B. Robbins. 2006.

• Ch 13. Reduce Items and Attributes
  • Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays. Chris Ahlberg and Ben Shneiderman. Proc. CHI, pp. 313-317. ACM, 1994.
  • Scented Widgets: Improving Navigation Cues with Embedded Visualizations. Wesley Willett, Jeffrey Heer, and Maneesh Agrawala. IEEE TVCG (Proc. InfoVis 2007), pp. 1129-1136.
  • Information Foraging Theory: Adaptive Interaction with Information. Peter Pirolli. Oxford University Press, 2007.
  • Exploratory Data Analysis. John W. Tukey. Addison-Wesley, 1977.
  • 40 Years of Boxplots Hadley Wickham and Lisa Stryjewski. Technical report, had.co.nz, 2012.
  • Hierarchical Aggregation for Information Visualization: Overview, Techniques and Design Guidelines. Niklas Elmqvist and Jean-Daniel Fekete. IEEE TVCG (2010), pp. 439-454.
  • Hierarchical Parallel Coordinates for Exploration of Large Datasets. Ying-Huey Fua, Matthew O. Ward, and Elke A. Rundensteiner. Proc. IEEE Conference on Visualization (Vis), pp. 43-50. IEEE Computer Society, 1999.
  • The Modifiable Areal Unit Problem (MAUP) David Wong. In The SAGE Handbook of Spatial Analysis, edited by A. Stewart Fotheringham and Peter A. Rogerson, pp. 105-123. Sage, 2009.
  • The Modifiable Areal Unit Problem. Stan Openshaw. Number 38 in Concepts and Techniques in Modern Geography, Geo Books, 1984.
  • Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis. Jason Dykes and Chris Brunsdon. IEEE TVCG (Proc. InfoVis 2007), pp. 1161-1168.
  • Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets. Jing Yang, Wei Peng, Matthew O. Ward, and Elke A. Rundensteiner. Proc. InfoVis, pp. 105-112. IEEE Computer Society, 2003.
  • Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering. Wei Peng, Matthew O. Ward, and Elke A. Rundensteiner. Proc. InfoVis, pp. 89-96. IEEE Computer Society, 2004.
  • Value and Relation Display for Interactive Exploration of High Dimensional Datasets. Jing Yang, Anilkumar Patro, Shiping Huang, Nishant Mehta, Matthew O. Ward, and Elke A. Rundensteiner. Proc. InfoVis, pp. 73-80. IEEE Computer Society, 2004.
  • Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets. Jing Yang, Matthew O. Ward, Elke A. Rundensteiner, and Shiping Huang. Proc. Eurographics/IEEE Symposium on Visualization (VisSym), pp. 19-28. Eurographics, 2003.
  • DimStiller: Workflows for Dimensional Analysis and Reduction. Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, and Torsten Möaut;ller. Proc. VAST, pp. 3-10. IEEE Computer Society, 2010.
  • Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. Michael Ankerst, Stefan Berchtold, and Daniel A. Keim. Proc. InfoVis, pp. 52-60. IEEE Computer Society, 1998.
  • Discussion of a Set of Points in Terms of Their Mutual Distances. G. Young and A. S. Householder. Psychometrika 3:1.
  • Multidimensional Scaling: I. Theory and Method. W. S. Torgerson. Psychometrika 17 (1952), pp. 401-419.
  • A Linear Iteration Time Layout Algorithm for Visualising High Dimensional Data. M. Chalmers. Proc. IEEE VIS, pp. 127-132. IEEE Computer Society, 1996.
  • Glimmer: Multilevel MDS on the GPU. Stephen Ingram, Tamara Munzner, and Marc Olano. IEEE TVCG (2009), pp. 249-261.
  • Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices. Michael Sedlmair, Tamara Munzner, and Melanie Tory. IEEE TVCG (Proc. InfoVis 2013), pp. 2634-2643.

• Ch 14. Embed: Focus+Context
  • A Review of Overview+Detail, Zooming, and Focus+Context Interfaces. Andy Cockburn, Amy Karlson, and Benjamin B. Bederson. Computing Surveys 41:1 (2008), pp. 1-31.
  • A Guide to Visual Multi-Level Interface Design from Synthesis of Empirical Study Evidence. Heidi Lam and Tamara Munzner. Synthesis Lectures on Visualization Series, Morgan Claypool, 2010.
  • Data Base Navigation: An Office Environment for the Professional. Robert Spence and Mark Apperley. Behaviour and Information Technology 1:1 (1982), pp. 43-54.
  • A Polyfocal Projection for Statistical Surfaces. Naftali Kadmon and Eli Shlomi. The Cartographic Journal 15:1 (1978), pp. 36-41.
  • A Review and Taxonomy of Distortion-Oriented Presentation Techniques. Ying K. Leung and Mark Apperley. Transactions on Computer-Human Interaction (ToCHI) 1:2 (1994), pp. 126-160.
  • The FISHEYE View: A New Look at Structured Files. George W. Furnas. Technical report, Bell Laboratories Technical Memorandum No. 82-11221-22, 1982.
  • Generalized Fisheye Views. George W. Furnas. Proc. CHI 1986, pp. 16-23.
  • A Fisheye Follow-up: Further Reflection on Focus + Context. George W. Furnas. Proc. CHI 2006, pp. 999-1008.
  • The Perspective Wall: Detail and Context Smoothly Integrated. Jock D. Mackinlay, George G. Robertson, and Stuart K. Card. Proc. CHI 1991, pp. 173-179.
  • Cone Trees: Animated 3D Visualizations of Hierarchical Information. George Robertson, Jock Mackinlay, and Stuart Card. Proc. CHI 1991, pp. 189-194.
  • Three-Dimensional Pliable Surfaces: For Effective Presentation of Visual Information. M. Sheelagh T. Carpendale, David J. Cowperthwaite, and F. David Fracchia. Proc. of the Symposium on User Interface Software and Technology (UIST), pp. 217-226. ACM, 1995.
  • Distortion Viewing Techniques for 3D Data. M. Sheelagh T. Carpendale, David J. Cowperthwaite, and F. David Fracchia. Proc. InfoVis, pp. 46-53. IEEE Computer Society, 1996.
  • Nonlinear Magnification Fields. T. Alan Keahey and Edward L. Robertson. Proc. InfoVis, pp. 51-58. IEEE Computer Society, 1997.
  • A Focus+Content Technique Based on Hyperbolic Geometry for Visualizing Large Hierarchies. John Lamping, Ramana Rao, and Peter Pirolli. Proc. CHI, pp. 401-408. ACM, 1995.
  • Exploring Large Graphs in 3D Hyperbolic Space. Tamara Munzner. IEEE Computer Graphics and Applications 18:4 (1998), pp. 18-23.
  • TreeJuxtaposer: Scalable Tree Comparison Using Focus+Context with Guaranteed Visibility. Tamara Munzner, Francois Guimbretiere, Serdar Tasiran, Li Zhang, and Yunhong Zhou. Proc. SIGGRAPH (2003), pp. 453-462.
  • PRISAD: Partitioned Rendering Infrastructure for Scalable Accordion Drawing (Extended Version). James Slack, Kristian Hildebrand, and Tamara Munzner. Information Visualization 5:2 (2006), pp. 137-151.

• Ch 15. Analysis 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