Visualization Tools

  • Christopher V. Jones
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 6)


With the advent of scientific visualization, a variety of software tools and environments have been developed to facilitate creating visualizations. This chapter discusses some of their basic characteristics.


Computer Graphic Textual Language Visual Language Silicon Graphic Scientific Visualization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Sharp JA, editor. Data-Flow Computing: Theory and Practice. Norwood (NJ): Ablex Publishing Corporation, 1992.Google Scholar
  2. [2]
    Pictorius Incorporated. Prograph CPX Reference. 2745 Dutch Village Road, Suite 200 Halifax, Nova Scotia B3L 4G7 Canada: 1995. URL: http: // Google Scholar
  3. [3]
    Haeberli P. ConMan: A visual programming language for interactive graphics. Computer Graphics, 1988;22(4).Google Scholar
  4. [4]
    Cameron G. Modular visualization environments: Past, present, and future. Computer Graphics, May 1995; 29(2): 3–4.CrossRefGoogle Scholar
  5. [5]
    Silicon Graphics, Inc. IRIS Explorer User’s Guide. Silicon Graphics, Inc., 1993.Google Scholar
  6. [6]
    Foulser D. IRIS Explorer: A framework for investigation. Computer Graphics, May 1995; 29(2): 13–16.CrossRefGoogle Scholar
  7. [7]
    Lucas B, Abram GD, Collins NS, Epstein DA, Gresh DL, McAuliffe KP. An architecture for a scientific visualization system. In Proceedings IEEE Visualization ′92, pages 243-249, October 1992.Google Scholar
  8. [8]
    Abram G, Treinish L. An extended data-flow architecture for data analysis and visualization. Computer Graphics, May 1995; 29(2): 17–21.CrossRefGoogle Scholar
  9. [9]
    Upson C, Faulhaber T, Kamins D, Laidlaw D. The application visualization system: A computational environment for scientific visualization. IEEE Computer Graphics and Applications, 1989; 9(4): 30–42.CrossRefGoogle Scholar
  10. [10]
    Lord HD. Improving the application development process with modular visualization environments. Computer Graphics, May 1995; 29(2): 10–12.CrossRefGoogle Scholar
  11. [11]
    Rasure R, Kubica S. The Khoros application development environment. In Christensen H, Crowley J, editors, Experimental Environments for Computer Vision and Image Processing: World Scientific, 1994. URL: http: //www. khoros. unm. edu/ Google Scholar
  12. [12]
    Young M, Argiro D, Kubica S. Cantata: Visual programming environment for the khoros system. Computer Graphics, May 1995; 29(2): 22–23.CrossRefGoogle Scholar
  13. [13]
    Frost R. High-performance visual programming environments: Goals and considerations. Computer Graphics, May 1995; 29(2): 29–32.CrossRefGoogle Scholar
  14. [14]
    The Math Works, Inc. Math Works home page. Technical report, Natick (MA): The MathWorks, Inc., 1995. URL: http: //www. mathworks. com Google Scholar
  15. [15]
    The MathWorks, Inc. The MatLab Expo. Natick (MA): The MathWorks, Inc., 1993.Google Scholar
  16. [16]
    Levoy M. Spreadsheets for images. In Computer Graphics, Proceedings of SIGGRAPH ′94, pages 139–146, Orlando (FL): ACM SIGGRAPH, Association for Computing Machinery, July 1994.Google Scholar

Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • Christopher V. Jones
    • 1
  1. 1.University of WashingtonSeattleUSA

Personalised recommendations