CandidTree: Visualizing structural uncertainty in similar hierarchies

Information Visualization

Volumn 6, Issue 3, 2007, Pages 233-246

  Lee, Bongshin ^a   Robertson, George G ^a   Czerwinski, Mary ^a   Sims Parr, Cynthia ^b  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Evaluation; Graphical user interfaces; Structural uncertainty; Tree comparison; Uncertainty visualization

Indexed keywords

ENGINEERS; GRAPHICAL USER INTERFACES; SOFTWARE ENGINEERING; TREES (MATHEMATICS); USABILITY ENGINEERING; VISUALIZATION;

EVALUATION; STRUCTURAL UNCERTAINTY; TREE COMPARISON; UNCERTAINTY VISUALIZATION;

UNCERTAINTY ANALYSIS;

EID: 36749054680     PISSN: 14738716     EISSN: 14738724     Source Type: Journal    
DOI: 10.1057/palgrave.ivs.9500157     Document Type: Article

References (36)

1. Hyperbolic Tree for the Green Tree of Life, http://ucjeps.berkeley.edu/ TreeofLife/hyperbolic.php (accessed 4 April 2007).
2. Lee B, Parr CS, Campbell D, Bederson BB. How users interact with biodiversity information using taxontree. In: Costablle MF (Ed). Proceedings of Advanced Visual Interfaces 2004 (Gallipoli, Italy), ACM Press: New York. 2004; 320-327.
3. Lee B, Robertson G, Czerwinski M, Parr CS. CandidTree: visualizing structural uncertainty in similar hierarchies. In: Baranauskas MCC, Palanque PA, Abascal J, Barbosa SDJ (Eds). Proceedings of Interact 2007. Lecture Notes in computer Science, Vol. 4663 (Rio de Janeiro, Brazil), Springer-Verlag: New York, NY, USA, 2007; 250-263.
4. Gershon ND. Visualization of an imperfect world. IEEE Computer Graphics and Applications 1998; 18: 43-45.
5. Johnson CR, Sanderson AR. A next step: visualizing errors and uncertainty. IEEE Computer Graphics and Applications 2003; 23: 6-10.
6. Pang A. Visualizing uncertainty in geo-spatial data. In: Workshop on the Intersections between Geospatial Information and Information Technology, prepared for the National Academies committee of the Computer Science and Telecommunications Board, 2001.
7. Pang AT, Wittenbrink CM, Lodha SK. Approaches to uncertainty visualization. The Visual Computer 1997; 13: 370-390.
8. Taylor BN and Kuyatt CE. Guidelines for evaluating and expressing the uncertainty of NIST measurement results. NIST Technical Note 1297, 1994.
9. Cleveland WS. The Elements of Graphing Data. 1985.
10. Eaton C, Plaisant C, Drizd T. Visualizing missing data: graph interpretation user study. In: Costabile MF, Paternó F (Eds). Proceedings of the Interact 2005, Lecture Notes in Computer Science, Vol. 3585 (Rome, Italy), Springer-Verlag: New York, NY, USA, 2005; 861-872.
11. Olston C, Mackinlay JD. Visualizing data with bounded uncertainty. In: IEEE Symposium on Information Visualization 2002 (Boston, MA, USA), IEEE Computer Society Press: Chicago, 2002; 37-40.
12. Sulo R, Eick S, Grossman R. DaVis: a tool for visualizing data quality. Posters Compendium of Information Visualization 2005 Minneapolis, MN, USA.
13. Tukey JW. Exploratory data analysis, 1977, Addison-Wesley: Reading, MA, USA.
14. Fegeas RG, Caseio JL, Lazar RA. An Overview of FIPS 173, the spatial data transfer standard. Cartography and Geographic Information Systems 1992; 19: 278-293.
15. MacEachren AM, Robinson A, Hopper S, Gardner S, Murray R, Gahegan M, Hetzler E. Visualizing geospatial information uncertainty: what we know and what we need to know. Cartography and Geographic Information Science 2005; 32: 139-160.
16. Moellering H. Continuing research needs resulting from the SDTS development effort. Cartography and Geographic Information Systems 1994; 21: 180-189.
17. Morrison J. The proposed standard for digital cartographic data. American Cartographer 1988; 15: 9-140.
18. Thomson J, Hetzler B, MacEachren A, Gahegan M, and Pavel M. A typology for visualizing uncertainty. In: Erbacher RF, Chen PC, Roberts JC, Groehn M and Borner K (Eds). Proceedings of the SPIE-VDA (San Jose, CA, USA), The Society for Imaging Science and Technology (IS & T): Springfield, VA, USA, 2005;146-157.
19. Lodha SK, Pang A, Sheehan RE, Wittenbrink CM. UFLOW: visualizing uncertainty in fluid flow. In: IEEE Symposium on Visualization 1996. IEEE Computer Society Press: Chicago, 1996; 249-255.
20. Wittenbrink CM, Pang AT, Lodha SK. Glyphs for visualizing uncertainty in vector fields. IEEE Transactions on Visualization and Computer Graphics 1996; 2: 266-279.
21. Grigoryan G, Rheingans P. Point-based probabilistic surfaces to show surface uncertainty. IEEE Transactions on Visualization and Computer Graphics 2004; 10: 564-573.
22. Gershon ND. Visualization of fuzzy data using generalized animation. In: Kaufman AE, Nielson GM (Eds). IEEE Symposium on Visualization 1992 (Boston, MA, USA), IEEE Computer Society Press: Chicago, 1992; 268-273.
23. Lodha SK, Wilson CM, Sheehan RE. LISTEN: sounding uncertainty visualization. In: IEEE Symposium on Visualization 1996. IEEE Computer Society Press: Chicago, 1996; 189-196.
24. Griethe H, Schumann H. The Visualization of Uncertain Data: Methods and Problems. In: Schulze T, Horton G, Preim B, Schlechtweg S (Eds). Proceedings of SimVis 2006 (Magdeburg, Germany), 143-156.
25. Pang A and Freeman A. Methods for comparing 3D surface attributes, Proceedings of the SPIE-VDA 1996; 58-64.
26. Nye TMW, Lio P, Gilks WR. A novel algorithm and web-based tool for comparing two alternative phylogenetic trees. Bioinformatics 2006; 22: 117-119.
27. Munzner T, Guimbretiere F, Tasiran S, Zhang L, Zhou Y. Treejuxtaposer: scalable tree comparison using Focus+Context with Guaranteed Visibility. Proceedings of SIGGRAPH 2003, published as ACM Transactions on Graphics 2003; 22: 453-462.
28. Spenke M and Beilken C. Visualization of trees as highly compressed tables with infoZoom. Posters Compendium of Information Visualization 2003; 122-123.
29. Morse DR, Ytow N, Roberts DM, Sato A. Comparison of multiple taxonomie hierarchies using taxoNote. Posters Compendium of Information Visualization 2003 (Seattle, WA, USA), 126-127.
30. Hong JY, D'Andries J, Richman M, Westfall M. Zoomology: comparing two large hierarchical trees. Posters Compendium of Information Visualization 2003 (Seattle, WA, USA), 120-121.
31. Levenshtein VI. Binary codes capable of correcting deletions, insertions, and reversals. Doklady Akademii Nauk SSSR 1965; 163: 845-848 (in Russian);
32. English translation in Soviet Physics Doklady 1966; 10: 707-710.
33. Furnas GW. Generalized fisheye views. In: Mantei M, Orbeton P (Eds). Proceedings of the CHI 1986 (Boston, MA, USA), ACM Press: New York, 1986; 16-23.
34. Bederson BB, Grosjean J, Meyer J. Toolkit design for interactive structured graphics. IEEE Transactions on Software Engineering 2004; 30: 535-546.
35. Walker II Q. A node-positioning algorithm for general trees. Software: Practice and Experience 1990; 20: 685-705.
36. WinDiff, http://technet2.microsoft.com/WindowsServer/en/Iibrary/ac1ff104- dde3-43ea-98af-e5cf5e513d4f1033.mspx.