Ed H. Chi
ABSTRACT
Visualization can be viewed as a process that transforms raw data (value) into views. There has been two major category of data process models that have been proposed to model the visualization transformation process. This paper seeks to compare the Data Flow Models and the Data State Models. Specifically, it proves that, in terms of expressiveness, anything that can represented using the Data Flow Model can also be represented using the Data State Model, and vice versa.
- Advanced Visualization System home page. http://www.avs.com. February 1999.Google Scholar
- Jacques Bertin. Graphics and Graphic Information Processing. Walter de Gruyter, 1981.Google Scholar
- Ed H. Chi. A taxonomy of visualization techniques using the data state reference model. In Proc. of the Symposium on Information Visualization (Info Vis '00), pages 69--75. IEEE Press, 2000. Salt Lake City, Utah. Google ScholarDigital Library
- Ed H. Chi, John Riedl, Phillip Barry, and Joseph Konstan Principles for information visualization spreadsheets. IEEE Computer Graphics and Applications (Special Issue on Visualization), pages 30--38, July 1998. Google ScholarDigital Library
- Ed H. Chi and John T. Riedl. An operator interaction framework for visualization systems. In Proceedings of the Symposium on Information Visualization '98, pages 63--70. IEEE CS, October 1998. Research Triangle Park, North Carolina. Google ScholarDigital Library
- Ed Huai-hsin Chi, Phillip Barry, John Riedl, and Joseph Konstan. A spreadsheet approach to information visualization. In Proceedings of the Symposium on Information Visualization '97, pages 17--24, 116. IEEE CS, 1997. Phoenix, Arizona. Google ScholarDigital Library
- Mei C. Chuah and Steven F. Roth. On the semantics of interactive visualization. In Proceedings of the Symposium on Information Visualization '96, pages 29--36. IEEE CS, 1996. San Francisco. California. Google ScholarDigital Library
- J. D. Foley, A. van Dam, S. K. Feiner, and J. F. Hughes. Computer Graphics: Principles and Practice. Addison-Wesley, 1990. Google ScholarDigital Library
- Paul E. Haeberli. ConMan: A visual programming language for interactive graphics. In Computer Graphics (SIGGRAPH '88 Proceedings), volume 22, pages 103--111, August 1988. Google ScholarDigital Library
- IBM Visualization Data Explorer (DX). http://www.almaden.ibm.com/dx/, February 1999.Google Scholar
- IRIS Explorer home page. http://www.nag.co.uk/Welcome. IEC.html, February 1999.Google Scholar
- John Peter Lee and Georges G. Grinstein. An architecture for retaining and analyzing visual explorations of databases. In Proc. IEEE Visualization '95, pages 101--108. IEEE CS. 1995. Google ScholarDigital Library
- William J. Schroeder, Kenneth M. Martin, and William E. Lorensen. The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics. Prentice Hall, 1996. Google ScholarDigital Library
- Silicon Graphics Computer Systems. IRIS Explorer User's Guide. Silicon Graphics Computer Systems, Mountain View, CA, 1991.Google Scholar
- Lisa Tweedie. Characterizing interactive externalizations. In Proceedings of ACM CHI 97 Conference on Human Factors in Computing Systems, volume 1, pages 375--382, 1997. Google ScholarDigital Library
- Craig Upson, Jr. Thomas Faulhaber, David Kamins. David Laidlaw, David Schlegel, Jeffery Vroom, Robert Gurwitz, and Andries van Dam. The Application Visualization System: A computational environment for scientific visualization. IEEE Computer Graphics and Applications, pages 30--42, July 1989. Google ScholarDigital Library
Index Terms
- Expressiveness of the data flow and data state models in visualization systems
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