next up previous
Next: About this document ... Up: A Taxonomy of Glyph Previous: Conclusions

Bibliography

1
E. Anderson, ``A semigraphical method for the analysis of complex problems,'' Proc. Nat. Acad. of Sci., Vol. 13, pp. 923-927, 1957.

2
P. Andreae, B. Dawkins, and P. O'Connor, ``DySect: an incremental clustering algorithm,'' document included with public-domain version of the software, retrieved from StatLib at CMU (http://lib.stat.cmu.edu).

3
M. Ankerst, S. Berchtold, and D. Keim, ``Similarity clustering of dimensions for an enhanced visualization of multidimensional data,'' Proc. Information Visualization '98, pp. 52-60, October, 1998.

4
J. Beddow, ``Shape coding of multidimensional data on a microcomputer display,'' Proc. Visualization '90, pp. 238-246, October, 1990.

5
C. Bentley and M. Ward, ``Animating multidimensional scaling to visualize n-dimensional data sets,'' IEEE Information Visualization '96, pp. 72-73, October, 1996.

6
H. Chernoff, ``The use of faces to represent points in k-dimensional space graphically,'' J. of Amer. Stat. Assoc., Vol. 68, pp. 361-368, 1973.

7
J. Christensen, J. Marks, and S. Shieber, ``An empirical study of algorithms for point-feature name placement,'' ACM Trans. on Graphics, Vol. 14, No. 3, pp. 203-232, 1995.

8
M. Chuah, ``Dynamic aggregation with circular visual designs,'' IEEE Information Visualization '98, pp. 35-43, October, 1998.

9
M. Chuah and S. Eick, ``Information rich glyphs for software management data,'' IEEE Computer Graphics and Applications, Vol. 18, No. 4, pp. 24-29, 1998.

10
W. Cleveland and R. McGill, ``Graphical perception: theory, experimentation and application to the development of graphical methods,'' J. of Amer. Stat. Assoc., Vol. 79, pp. 531-554, 1984.

11
W. Cleveland, Visualizing Data, Hobart Press, Summit, NJ, 1993.

12
J. Cohoon, S. Hegde, W. Martin, and D. Richards, ``Distributed genetic algorithms for the floorplan design problem,'' IEEE Trans. Computer-Aided Design, Vol. 10, pp. 483-492, 1991.

13
R. Davidson and D. Harel, ``Drawing graphs nicely using simulated annealing,'' ACM Trans. Graphics, Vol. 15, No. 4, pp. 301-331, 1996.

14
G. Di Battista, P. Eades, R. Tamassia, and I. Tollis, Graph Drawing: Algorithms for the Visualization of Graphs, Prentice Hall, Upper Saddle River, NJ, 1999.

15
Y. Djouadi, ``Cartage: a cartographic layout system based on genetic algorithms,'' 5th European Conf. on Geographical Information Systems, pp. 48-56, 1994.

16
J. Doerschler and H. Freeman, ``A rule-based system for dense map name placement,'' Communications of the ACM, Vol. 35, No. 1, pp. 68-79, 1992.

17
S. du Toit, A. Steyn, and R. Stumpf, Graphical Exploratory Data Analysis, Springer-Verlag, Berlin, 1986.

18
J. Friedman, E. Farrell, R. Goldwyn, M. Miller, and J. Sigel, ``A graphic way of describing changing multivariate patterns,'' Proc. Sixth Interface Symposium on Computer Science and Statistics, pp. 56-59, October, 1972.

19
J. Friedman and J. Tukey, ``A projection pursuit algorithm for exploratory data analysis,'' IEEE Trans. Computers, Vol. C-23, pp. 881-889, 1974.

20
R. Gnanadesikan, Methods of Statistical Data Analysis of Multivariate Observations, John Wiley and Sons, New York, 1977.

21
J. Hartigan, ``Printer graphics for clustering,'' J. of Stat. Comp. and Sim., Vol. 4, pp. 187-213, 1975.

22
P. Huber, ``Projection pursuit,'' Ann. Statistics, Vol. 13, pp. 435-475, 1985.

23
C.-S. Jeong and A. Pang, ``Reconfigurable disc trees for visualizing large hierarchical information space,'' IEEE Information Visualization '98, pp. 19-25, October, 1998.

24
B. Johnson and B. Shneiderman, ``Tree-maps: a space-filling approach to the visualization of hierarchical information structures, IEEE Visualization '91, pp. 189-194, October, 1991.

25
I. Jolliffe, Principal Component Analysis, Springer Series on Statistics, Springer, Berlin, 1986.

26
D. Keim and H.-P. Kriegel, ``VisDB: database exploration using multidimensional visualization'', Computer Graphics and Applications, pp. 40-49, September, 1994.

27
D. Keim, H.-P. Kriegel, and M. Ankerst, ``Recursive pattern: a technique for visualizing very large amounts of data,'' IEEE Visualization '95, pp. 279-286, October, 1995.

28
D. Keim and A. Hermann, ``The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data,'' IEEE Visualization '98, pp. 181-188, October, 1998.

29
B. Kleiner and J. Hartigan, ``Representing points in many dimension by trees and castles,'' J. Amer. Stat. Assoc., Vol. 76, pp. 260-269, 1981.

30
T. Kohonen, Self-Organizing Maps, Springer Series on Information Sciences, Vol. 30, Springer, Berlin, 1995.

31
J. Kruskal and M. Wish, Multidimensional Scaling, Sage Publications, London, 1978.

32
J. LeBlanc, M. Ward, and N. Wittels, ``Exploring n-dimensional databases,'' Proc. Visualization '90, pp. 230-237, October, 1990.

33
T. Lengauer and R. Muler, ``Robust and accurate hierarchical floorplanning with integrated global wiring,'' IEEE Trans. Computer-Aided Design, pp. 802-809, 1993.

34
Y. Leung and M. Apperley, ``A review and taxonomy of distortion-oriented presentation techniques,'' ACM Trans. Computer-Human Interaction, Vol. 1, No. 2, pp. 126-160, 1994.

35
B. Lipchak and M. Ward, ``Visualization of cyclic multivariate data,'' IEEE Visualization '97 (Late Breaking Hot Topics), pp. 61-64, October, 1997.

36
D. Mayhew, Principles and Guidelines in Software User Interface Design, Prentice Hall, Englewood Cliffs, NJ, 1992.

37
J. Mezzich and D. Worthington, ``A comparison of graphical representations of multidimensional psychiatric diagnostic data,'' in Graphical Representation of Multivariate Data (P.C.C. Wang, ed.), Academic Press, New York, 1978.

38
K. Mullet and D. Sano, Designing Visual Interfaces, SunSoft Press (Prentice Hall), Englewood Cliffs, NJ, 1995.

39
R. Pickett and G. Grinstein, ``Iconographic displays for visualizing multidimensional data,'' Proc. IEEE Conf. Systems, Man, and Cybernetics, pp. 164-170, 1988.

40
W. Ribarsky, E. Ayers, J. Eble, and S. Mukherjea, ``Glyphmaker: creating customized visualizations of complex data'', Computer, Vol. 27, No. 7, pp. 57-64, July, 1994.

41
G. Robertson, J. Mackinlay, and S. Card, ``Cone trees: animated 3D visualizations of hierarchical information,'' Proc. ACM SIGCHI Conf. on Human Factors in Computing Systems, pp. 331-337, 1991.

42
D. Schaffer, Z. Zuo, S. Greenberg, L. Bartram, J. Dill, S. Dubs, and M. Roseman, ``Navigating hierarchically clustered networks through fisheye and full-zoom methods,'' ACM Trans. Computer-Human Interactions, Vo. 3, No. 2, pp. 162-188, 1996.

43
K. Shahookar and P. Mazumder, ``VLSI cell placement techniques,'' ACM Computing Surveys, Vol. 23, No. 2, pp. 143-220, 1991.

44
B. Shneiderman, ``The eyes have it: a task by data type taxonomy for information visualization,'' Proc. 1996 IEEE Symposium on Visual Languages, pp. 336-343, 1996.

45
J. Siegel, E. Farrell, R. Goldwyn, and H. Friedman, ``The surgical implication of physiologic patterns in myocardial infarction shock,'' Surgery, Vol. 72, pp. 126-141, 1972.

46
M. Ward, ``XmdvTool: integrating multiple methods for visualizing multivariate data,'' IEEE Visualization '94, pp. 326-333, October, 1994.

47
M. Ward and D. Keim, ``Screen Layout Methods for Multidimensional Visualization,'' CODATA Euro-American Workshop on Visualization of Information and Data, June, 1997.

48
C. Wittenbrink, A. Pang, and S. Lodha, ``Glyphs for visualizing uncertainty in vector fields,'' IEEE Trans. Visualization and Computer Graphics, Vol. 2, No. 3, pp. 266-279, 1996.

49
T. Yamanouchi, K. Tamakashi, and T. Kambe, ``Hybrid floorplanning based on partial clustering and module restructuring,'' Proc. IEEE Int. Conf. on Computer-Aided Design, 1996.



Matthew Ward
1999-02-08