Skip to main content

Iconic Displays

  • Reference work entry
Encyclopedia of Database Systems

Synonyms

Icons; Glyphs; Iconographics

Definition

Iconic displays are visualizations that generalize traditional displays (especially scatterplots) where each record, instead of being drawn as a point, is represented by a more general primitive called an icon or glyph. The goals are to harness human perception, especially texture, and to display many more parameters. Whereas a pixel is driven by three data values from some color model (typically red, green, and blue) an icon is a geometric object driven by potentially many values, with some icons displaying over 30. Some icons are drawn using lines, some using colored areas, some move and vibrate, and some even have sound output. Some iconic displays drop the Cartesian base of the underlying display and use alternative layout techniques. However, in all of these, the key defining factor is the representation of a record in a visualization by a very general, most often geometric, primitive, with the goal of producing more...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Bergeron R.D. and Grinstein G.G. A reference model for scientific visualization. In Proc. Eurographics ‘89’, 1989, pp. 393–399.

    Google Scholar 

  2. Bertin J. 1983. Semiology of Graphics. The University of Wisconsin Press, Madison, WI, (Original work published in 1967).

    Google Scholar 

  3. Chambers J.M., Cleveland W.S., Kleiner B., and Tukey P.A. Graphical Methods for Data Analysis. Wadsworth, Belmont, CA, 1983.

    MATH  Google Scholar 

  4. Chernoff H. The use of faces to represent points in k-dimensional space graphically. J. Am. Stat. Assoc., 68:361–368, 1973.

    Article  Google Scholar 

  5. Flury B. and Riedwyl H. Graphical representation of multivariate data by means of asymmetrical faces. J. Am. Stat. Assoc., 76:757–765, 1981.

    Article  Google Scholar 

  6. Gibson J.J. The Ecological Approach to Visual Perception. Houghton-Mifflin, Boston, 1979.

    Google Scholar 

  7. Grinstein G., Pickett R., and Williams M.G. EXVIS: an exploratory visualization environment. In Proc. Graphics Interface '89, 1989.

    Google Scholar 

  8. Healey C.G., Booth K.S., and Enns J.T. Visualizing real-time multivariate data using preattentive processing. ACM Trans. Model. Comput. Simul., 5(3):190–221, 1995.

    Article  Google Scholar 

  9. Julesz B. Textons, the elements of texture perception, and their interactions. Nature, 290:91–97, March 1981.

    Article  Google Scholar 

  10. Kindlmann G., Weinstein D., Lee A., Toga A., and Thompson P. Visualization of anatomic covariance tensor fields. In Proc. 26th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society 2004, pp. 1842–1845.

    Google Scholar 

  11. Levkowitz H. Color icons: merging color and texture perception for integrated visualization of multiple parameters. In Proc. IEEE Conf. on Visualization, 1991, pp. 164–170.

    Google Scholar 

  12. Perlman J. Visualizing network security events using compound glyphs from a service-oriented perspective. Available at: http://www.csee.umbc.edu/gavl/theses/jpearlman.pdf, 2007.

  13. Pickett R.M. and Grinstein G.G. Iconographic displays for visualizing multidimensional data. In Proc. 1988 IEEE Conf. on Systems, Man and Cybernetics, 1988, pp. 514–518.

    Google Scholar 

  14. Pickett R.M., Grinstein G., Levkowitz H., and Smith S. Harnessing preattentive perceptual processes in visualization. Perceptual Issues in Visualization, Springer, NY, 1995, pp. 33–45.

    Google Scholar 

  15. Pinkney D. Intelligent Iconic Visualization. Ph.D thesis, University of Massachusetts, Lowell, 1997.

    Google Scholar 

  16. Smith S., Bergeron R., and Grinstein G. Stereophonic and Surface Sound Generation for Exploratory Data Analysis. In Proc. SIGCHI Conf. on Human Factors in Computing Systems, 1990.

    Google Scholar 

  17. Ward M. A taxonomy of glyph placement strategies for multidimensional data visualization. Inf. Vis., 1:194–210, 2002.

    Article  Google Scholar 

  18. Wittenbrink C., Pang A., and Lodha S. Glyphs for visualizing uncertainty in vector fields. Trans. Vis. Comput. Graph., 2(3):266–279, 1996.

    Article  Google Scholar 

  19. Yang F., Goodell H., Pickett R., Bobrow R., Baumann A., Gee A., and Grinstein G.G. Data exploration combining kinetic and static visualization displays. In Proc. 4th Int. Conf. on Coordinated & Multiple Views in Exploratory Visualization, 2006, pp. 21–30.

    Google Scholar 

  20. Zhang X. and Pazner M. The icon imagemap technique for multivariate geospatial data visualization: approach and software. Cartogr. Geogr. Inf. Sci., 31(1):29–41, 2004.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Grinstein, G., Berry, D.A. (2009). Iconic Displays. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1130

Download citation

Publish with us

Policies and ethics