Publications: Tamara Munzner

Books and Book Chapters | Papers | Other

Books and Book Chapters

	Visualization. Tamara Munzner. Chapter 27, p 675-707, of Fundamentals of Graphics, Third Edition. by Peter Shirley and Steve Marschner, with additional contributions by Michael Ashikhmin, Michael Gleicher, Naty Hoffman, Garrett Johnson, Tamara Munzner, Erik Reinhard, Kelvin Sung, William B. Thompson, Peter Willemsen, Brian Wyvill. AK Peters, 2009. ISBN: 978-1-56881-469-8 A book chapter for an undergraduate computer graphics textbook summarizing process, principles, and techniques for visualization with an emphasis on abstract data.

	Process and Pitfalls in Writing Information Visualization Research Papers. Tamara Munzner. 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. A book chapter exhorting infovis authors to avoid pitfalls at several stages of research process, including visual encoding during design, a checkpoint before starting to write, and after a full paper draft exists.

	NIH/NSF Visualization Research Challenges Report. Chris Johnson, Robert Moorhead, Tamara Munzner, Hanspeter Pfister, Penny Rheingans, and Terry S. Yoo. IEEE Computer Society Press, 2006, ISBN 0-7695-2733-7 (40 page book). This report, sponsored by the NIH and NSF, is a followup to the 1987 NSF Visualization report. Our goal is to evaluate the progress of the maturing field of visualization, to help focus and direct future research projects, and to provide guidance on how to apportion national resources. Our findings and recommendations reflect not only information gathered from visualization and applications scientists during two workshops on Visualization Research Challenges but also input from the larger visualization community.

Papers

	A Nested Model for Visualization Design and Validation. Tamara Munzner. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 09), 15(6):921-928, 2009. This model provides a unified framework for considering both the design and the validation of visualization systems at four cascading levels, with prescriptive advice on determining appropriate evaluation approaches by identifying threats to validity unique to each level.

	MizBee: A Multiscale Synteny Browser. Miriah Meyer, Tamara Munzner, and Hanspeter Pfister. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 09), 15(6):897-904, 2009. We present the design process and decisions in creating a multiscale synteny browser for exploring conservation relationship in comparative genomics data.

	TugGraph: Path-Preserving Hierarchies for Browsing Proximity and Paths in Graphs Daniel Archambault, Tamara Munzner, and David Auber. IEEE Pacific Visualization Symposium 2009, pp 113-121. TugGraph is a system for exploring paths and proximity around nodes and subgraphs in a multilevel graph.

	Glimmer: Multilevel MDS on the GPU. Stephen Ingram, Tamara Munzner and Marc Olano. IEEE Trans. Visualization and Computer Graphics (TVCG) 15(2):249-261, Mar/Apr 2009. Glimmer is a new multilevel multidimensional scaling algorithm that exploits the GPU. We demonstrate its benefits in a detailed comparison against several previous algorithms.

	InnateDB: facilitating systems-level analyses of the mammalian innate immune response. David J Lynn, Geoffrey L Winsor, Calvin Chan, Nicolas Richard, Matthew R Laird, Aaron Barsky, Jennifer L Gardy, Fiona M Roche, Timothy H W Chan, Naisha Shah, Raymond Lo, Misbah Naseer, Jaimmie Que, Melissa Yau, Michael Acab, Dan Tulpan, Matthew D Whiteside, Avinash Chikatamarla, Bernadette Mah, Tamara Munzner, Karsten Hokamp, Robert E W Hancock, and Fiona S L Brinkman Molecular Systems Biology 4:218, 2008. Paper for the biological community describing InnateDB, including the Cerebral visualization component.

	Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context. Aaron Barsky, Tamara Munzner, Jennifer L. Gardy, and Robert Kincaid. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2008) 14(6) (Nov-Dec) 2008, p 1253-1260. We describe the data information display needs of immunologists and describe the design decisions used to create Cerebral, a system that incorporates experimental data directly into the graph display, using the biologically guided graph layout announced in the previous appnote.

	GrouseFlocks: Steerable Exploration of Graph Hierarchy Space. Daniel Archambault, Tamara Munzner, and David Auber. IEEE Transactions on Visualization and Computer Graphics 14(4):900-913 (July/August) 2008. GrouseFlocks supports interactive exploration of the space of possible hierarchies for an input graph with domain-specific attributes at the nodes. The system generates hierarchies that reflect the underlying graph topology by requiring that subgraphs respect edge and connectivity conservation.

	Increasing the Utility of Quantitative Empirical Studies for Meta-analysis. Heidi Lam and Tamara Munzner. Proc. CHI Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization (BELIV), 2008, pp. 21-27. Based on our experience in extracting design guidelines from existing quantitative studies, we recommend improvements to both study design and reporting to promote meta-analysis.

	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, pp 1483-1492. The LiveRAC visualization system supports the analysis of large collections of time-series data with hundreds of parameters across thousands of network devices. It provides high information density using a reorderable matrix of charts, with semantic zooming adapting each chart's visual representation to the available space.

	Spatialization Design: Comparing Points and Landscapes. Melanie Tory, David W. Sprague, Fuqu Wu, Wing Yan So, and Tamara Munzner. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 07), 13(6):1262--1269, 2007. For the task we studied, point-based spatializations were far superior to landscapes, and 2D landscapes were superior to 3D landscapes.

	Overview Use in Multiple Visual Information Resolution Interfaces. Heidi Lam, Robert Kincaid, and Tamara Munzner. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 07) 13(6):1278--1285, 2007. We compared four interfaces: overview-only, detail-only, separate overview and detail windows, and detail embedded within overview as in Focus+Context interfaces.

	Session Viewer: Visual Exploratory Analysis of Web Session Logs. Heidi Lam, Daniel Russell, Diane Tang, and Tamara Munzner. Proc. IEEE Symposium on Visual Analytics Science and Technology (VAST), p 147-154, 2007. Taking a multiple-coordinated view approach, Session Viewer shows multiple session populations at the Aggregate, Multiple, and Detail data levels to support different analysis styles.

	Grouse: Feature-Based, Steerable Graph Hierarchy Exploration. Daniel Archambault, Tamara Munzner, and David Auber. Proc. Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 07), p 67-74. Interactive and steerable exploration of multilevel graph hierarchies, as created by TopoLayout.

	Cerebral: a Cytoscape plugin for layout of and interaction with biological networks using subcellular localization annotation. Aaron Barsky, Jennifer L. Gardy, Robert E.W. Hancock, and Tamara Munzner. Bioinformatics 23(8):1040-1042, 2007. Bioinformatics Advance Access published online on February 19, 2007 Short note aimed at the bioinformatics community announcing a graph layout approach for protein-protein interaction networks that exploits annotations about where genes/proteins are expressed within a cell and their function.

	TopoLayout: Multi-Level Graph Layout by Topological Features. Daniel Archambault, Tamara Munzner, and David Auber. Transactions on Visualization and Computer Graphics, 13(2):305--317, Mar/Apr 2007. Multilevel graph drawing algorithm where the original graph is decomposed into features based on topological structures such as trees and clusters, each feature is drawn with an appropriately tuned algorithm, and passes for crossing reduction and overlap elimination reduce visual clutter.

	Smashing Peacocks Further: Drawing Quasi-Trees From Biconnected Components. Daniel Archambault, Tamara Munzner, and David Auber. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 06) 12(5), September 2006, p 813-820. Two-level approach to drawing complex graphs where an area-aware version of the RINGS tree drawing algorithm is used to show the high-level structure, and the force-directed LGL approach is used to show the low-level structure.

	Composite Rectilinear Deformation for Stretch and Squish Navigation. James Slack and Tamara Munzner. IEEE Trans. Visualization and Computer Graphics (Proc. Visualization 2006) 12(5), September 2006, p 901-908. Navigation for accordion drawing, whereas previous papers focused on rendering.

	Effects of 2D Geometric Transformations on Visual Memory. Heidi Lam, Ronald A. Rensink, and Tamara Munzner. Proc. Applied Perception in Graphics and Visualization (APGV 2006), 119-126, 2006. Evaluation of how both linear and nonlinear geometric transformations affect visual memory, as opposed to previous paper on visual search.

	An Evaluation of Pan&Zoom and Rubber Sheet Navigation with and without an Overview. Dmitry Nekrasovski, Adam Bodnar, François Guimbretière, Joanna McGrenere, and Tamara Munzner Proc. ACM Conf. on Human Factors in Computing Systems (CHI) 2006, p 11-20 Evaluation comparing navigation techniques and availability of contextual information.

	Visualization Research Challenges: A Report Summary. Robert Moorhead, Chris Johnson, Tamara Munzner, Hanspeter Pfister, Penny Rheingans, and Terry S. Yoo. IEEE Computing in Science & Engineering, Vol 8, No 4 (July/Aug) 2006, p 66-73. Five-page summary of VRC report.

	NIH/NSF Visualization Research Challenges Report Summary. Tamara Munzner, Chris Johnson, Robert Moorhead, Hanspeter Pfister, Penny Rheingans, and Terry S. Yoo. IEEE Computer Graphics and Applications, Vol 26, No 2 (March/April) 2006, p 20-24. Five-page summary of VRC report.

	Partitioned Rendering Infrastructure for Scalable Accordion Drawing (Extended Version). James Slack, Kristian Hildebrand, and Tamara Munzner . Information Visualization, 5(2), p. 137-151, 2006. Longer journal version of PRISAD paper, recommended over the conference version. The algorithm explanation is clearer and more detailed.

	Partitioned Rendering Infrastructure for Scalable Accordion Drawing. James Slack, Kristian Hildebrand, and Tamara Munzner . Proc. IEEE Symposium on Information Visualization (InfoVis) 2005, pp 41--48. Conference version of PRISAD paper, presenting generic and efficient infrastructure for accordion drawing with an emphasis on rendering.

	Scalable, Robust Visualization of Large Trees. Dale Beermann, Tamara Munzner, and Greg Humphreys. Proc. EuroVis 2005, pp 37--44. Highly scalable accordion drawing for huge trees of 15 million nodes with leading-edge graphics hardware and 5 million nodes on commodity platforms.

	SequenceJuxtaposer: Fluid Navigation For Large-Scale Sequence Comparison In Context. James Slack, Kristian Hildebrand, Tamara Munzner, and Katherine St. John. German Conference on Bioinformatics 2004, pp 37-42. Accordion drawing for comparing gene sequences.

	Steerable, Progressive Multidimensional Scaling. Matt Williams and Tamara Munzner Proc IEEE Symposium on Information Visualization (InfoVis) 2004, pp 57-64. Steerable multidimensional scaling with progressive layout.

	Perceptual Invariance of Nonlinear Focus+Context Transformations. Keith Lau, Ron Rensink, and Tamara Munzner. Proc. First Symposium on Applied Perception in Graphics and Visualization (APGV 04) 2004, pp 65-72. We quantify the perceptual cost of geometric transformations for visual search tasks, finding no-cost and low-cost zones for fisheye transformations.

	TreeJuxtaposer: Scalable Tree Comparison using Focus+Context with Guaranteed Visibility. Tamara Munzner, François Guimbretière, Serdar Tasiran, Li Zhang, and Yunhong Zhou. SIGGRAPH 2003, pp 453--462. Visual diff for trees, introducing accordion drawing.

	Guest Editor's Introduction to Special Issue on Information Visualization. Tamara Munzner. IEEE Computer Graphics and Applications Special Issue on Information Visualization, 22(1), Jan/Feb 2002, pp 20-21. In this short introduction I briefly describe the goals of the field of information visualization to set the stage for the four accepted papers in this special issue, for which I was the guest editor.

	An initial examination of ease of use for 2D and 3D information visualizations of web content. Kirsten Risden, Mary P. Czerwinski, Tamara Munzner, Daniel B. Cook. International Journal of Human Computer Studies, Vol. 53, No. 5, November 2000, pp 695-714. This paper discusses a user study conducted at Microsoft Research that found a statistically significant improvement in task time when a novel web browser that included the H3Viewer was compared to more traditional browsers.

	Interactive Visualization of Large Graphs and Networks. Tamara Munzner Ph.D. Dissertation, Stanford University, June 2000. My dissertation includes a chapter each on the H3, Planet Multicast, and Constellation projects, with much more analysis than appeared in any of the original papers.

	Artistic Multiprojection Rendering. Maneesh Agrawala, Denis Zorin, Tamara Munzner. Proceedings of the 11th Eurographics Rendering Workshop, June 26-28 2000, pp 125-136. These proceedings were also published as Rendering Techniques 2000, B. Peroche and H. Rushmeier, eds, Springer, 2000. A paper on interactive rendering of scenes where objects can have different projections, as in the simulaneous multiple viewpoints of Cubist paintings.

	Constellation: A Visualization Tool For Linguistic Queries from MindNet. Tamara Munzner and François Guimbretière and George Robertson. Proceedings of the 1999 IEEE Symposium on Information Visualization (InfoVis 99), 1999, pp 132-135. A paper on a 2D interactive system which uses a custom graph layout algorithm and many perceptual channels to help computational linguists debug their algorithms for generating and using large semantic networks.

	Drawing Large Graphs with H3Viewer and Site Manager. Tamara Munzner. Proceedings of Graph Drawing '98, Montreal, Canada, August 1998, Lecture Notes in Computer Science 1547, pp. 384-393, Springer-Verlag. A paper which presents the H3Viewer guaranteed frame rate drawing algorithm, along with a brief review of the H3 layout algorithm for context. Very large graphs can be navigated at a constant frame rate, as long as the entire graph can fit into main memory. The viewer is custom OpenGL/C++ code. My implementation of the algorithm discussed here was shipped with the Site Manager 1.1 software from SGI. The source is available for free noncommercial use.

	Exploring Large Graphs in 3D Hyperbolic Space. Tamara Munzner. IEEE Computer Graphics and Applications, Vol. 18, No. 4, pp 18-23, July/August 1998. An article which briefly reviews the H3 layout and H3Viewer drawing algorithms. The main new material here is a discussion about possible tasks for graph drawing beyond the global overview problem.

	H3: Laying Out Large Directed Graphs in 3D Hyperbolic Space. Tamara Munzner. Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis 97), October 20-21 1997, Phoenix, AZ, pp 2-10, 1997. A paper that presents a much improved layout algorithm that exploits some of the properties of 3D hyperbolic space to achieve reasonable information density. The viewer is a highly modified version of Geomview, which supports manual subtree collapse and expansion. My implementation of the algorithm discussed here was shipped with the Site Manager 1.0 software from SGI.

	Visualizing the Global Topology of the MBone. Tamara Munzner and Eric Hoffman and K. Claffy and Bill Fenner. Proceedings of the 1996 IEEE Symposium on Information Visualization (InfoVis 96), October 28-29 1996, San Francisco, CA, pp 85-92, 1996. A case study describing the Planet Multicast project: an interactive 3D geographic visualization of the Internet's multicast backbone, where tunnels are shown as arcs on a globe.

	Visualizing the Structure of the World Wide Web in 3D Hyperbolic Space. Tamara Munzner and Paul Burchard. Proceedings of the Virtual Reality Modelling Language (VRML 95) (San Diego, California, December 14-15, 1995), special issue of Computer Graphics, pp 33-38, ACM SIGGRAPH, New York, 1995. The first of my hyperbolic papers. The layout algorithm is the the most straightforward extension of cone trees to 3D hyperbolic space. The viewer is Geomview/WebOOGL. The system allows neither manual nor automatic collapsing of the graph, so scalability is extremely limited.

	Interactive Methods for Visualizable Geometry. Andrew J. Hanson and Tamara Munzner and George Francis . IEEE Computer, Vol. 27, No. 4, pp 73-83, July 1994. A survey article about interactive mathematical visualization, includes many pictures.