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A reprocessing tool for quantitative data analysis in a virtual environment

Published:01 November 2006Publication History

ABSTRACT

This paper presents an approach to help speed up and unify the exploration and analysis of time-dependent, volumetric data sets by easily incorporating new qualitative and quantitative information into an exploratory virtual environment (VE). The new information is incorporated through one or more expedited offline "reprocessing" steps, which compute properties of objects extracted from the data. These objects and their properties are displayed in the exploratory VE. A case study involving atmospheric data is presented to demonstrate the utility of the method.

References

  1. T. Bray, J. Paoli,C. M. Sperberg-McQueen, E. Maler, and F. Yergeau. Extensible markup language (XML)1.0 (third edition). http://www.w3.org/TR/REC-xml/, February 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. Cruz-Neira, et al. Scientists in wonderland: A report on visualization applications in the CAVE virtual reality environment. In IEEE Visualization pages 59--66, October 1993.Google ScholarGoogle Scholar
  3. J. Cuijpers and P. Duynkerke. Large-eddy simulation of trade wind cumulus clouds. J. Atmos. Sci 50: 3894--3908, 1993.Google ScholarGoogle ScholarCross RefCross Ref
  4. G. deHaan, E. J. Griffth, M. Koutek,and F. H. Post. Hybrid interfaces in ves: Intent and interaction. In R. Hubbold and M. Lin, editors, Virtual Environments 2006 pages 109--118, May 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. E. J. Griffth, F. H. Post, M. Koutek, T. Heus, and H. J. J. Jonker. Feature tracking in VR for cumulus cloud life-cycle studies. In E. Kjems and R. Blach, editors, Virtual Environments 2005 pages 121--128, October 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. C. Henze. Feature detection in linked derived spaces. In IEEE Visualization pages 87--94, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. T. Heus, H. Jonker, E. Griffth, and F. Post. Lifecycle analysis of cumulus clouds using a 3D virtual reality environment. In Boundary-Layers and Turbulence 2006.Google ScholarGoogle Scholar
  8. C. Johnson. Top scientific visualization research problems. IEEE Computer Graphics and Applications 24(4): 13--17, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. B. McCormick, T. DeFanti, and M. Brown. Visualization in scientific computing. Computer Graphics 21(6), November 1987.Google ScholarGoogle Scholar
  10. A. P. Siebesma, et al. A large eddy simulation intercomparison study of shallow cumulus convection. J. Atmos. Sci. 60(10): 1201--1219, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  11. R. R. Springmeyer, M. M. Blattner, and N.L. Max. A characterization of the scientific data analysis process. In IEEE Visualization pages 235--242, October 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. C. Upson, et al. The application visualization system:a computational environmentfor scientific visualization. IEEE Computer Graphics and Applications 9(4): 30--42, July 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. A. van Dam, A. S. Forsberg, D. H. Laidlaw, J. J. LaViola, and R. M. Simpson. Immersive VR for scientific visualization: A progress report. IEEE Computer Graphics and Applications 20(6): 26--52, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. T. van Walsum. Selective Visualization Techniques for Curvilinear Grids PhD thesis,Delft University of Technology, December 1995.Google ScholarGoogle Scholar

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        cover image ACM Conferences
        VRST '06: Proceedings of the ACM symposium on Virtual reality software and technology
        November 2006
        400 pages
        ISBN:1595933212
        DOI:10.1145/1180495

        Copyright © 2006 ACM

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        Publication History

        • Published: 1 November 2006

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