Hierarchical and Geometrical Methods in Scientific Visualization

  • Gerald Farin
  • Bernd Hamann
  • Hans Hagen

Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages I-VI
  2. Mark A. Duchaineau, Serban D. Porumbescu, Martin Bertram, Bernd Hamann, Kenneth I. Joy
    Pages 1-17
  3. Gunther H. Weber, Oliver Kreylos, Terry J. Ligocki, John M. Shalf, Hans Hagen, Bernd Hamann et al.
    Pages 19-40
  4. Eric LaMar, Bernd Hamann, Kenneth I. Joy
    Pages 51-62
  5. David F. Wiley, Martin Bertram, Benjamin W. Jordan, Bernd Hamann, Kenneth I. Joy, Nelson L. Max et al.
    Pages 63-88
  6. Martin Bertram, Shirley E. Konkle, Hans Hagen, Bernd Hamann, Kenneth I. Joy
    Pages 89-97
  7. Benjamin F. Gregorski, David E. Sigeti, John Ambrosiano, Gerald Graham, Murray Wolinsky, Mark A. Duchaineau et al.
    Pages 99-117
  8. Kenneth I. Joy, Justin Legakis, Ron MacCracken
    Pages 143-170
  9. Xavier Tricoche, Gerik Scheuermann, Hans Hagen
    Pages 171-184
  10. Martin Kraus, Thomas Ertl
    Pages 185-195
  11. Terry J. Ligocki, Brian Van Straalen, John M. Shalf, Gunther H. Weber, Bernd Hamann
    Pages 197-204
  12. Oliver Kreylos, E. Wes Bethel, Terry J. Ligocki, Bernd Hamann
    Pages 205-224
  13. Valerio Pascucci, Randall J. Frank
    Pages 225-241
  14. Robert Schneider, Leif Kobbelt, Hans-Peter Seidel
    Pages 243-267
  15. Georgios Stylianou, Gerald Farin
    Pages 269-281
  16. Joerg Meyer, Ragnar Borg, Bernd Hamann, Kenneth I. Joy, Arthur J. Olson
    Pages 283-295
  17. Philip J. Rhodes, R. Daniel Bergeron, Ted M. Sparr
    Pages 297-317
  18. Ashish Amresh, Gerald Farin, Anshuman Razdan
    Pages 319-327

About these proceedings

Introduction

The nature of the physical Universe has been increasingly better understood in recent years, and cosmological concepts have undergone a rapid evolution (see, e.g., [11], [2],or [5]). Although there are alternate theories, it is generally believed that the large-scale relationships and homogeneities that we see can only be explainedby having the universe expand suddenlyin a very early “in?ationary” period. Subsequent evolution of the Universe is described by the Hubble expansion, the observation that the galaxies are ?ying away from each other. We can attribute di?erent rates of this expansion to domination of di?erent cosmological processes, beginning with radiation, evolving to matter domination, and, relatively recently, to vacuum domination (the Cosmological Constant term)[4]. We assume throughout that we will be relying as much as possible on observational data, with simulations used only for limited purposes, e.g., the appearance of the Milky Wayfrom nearbyintergalactic viewpoints. The visualization of large-scale astronomical data sets using?xed, non-interactive animations has a long history. Several books and ?lms exist, ranging from “Cosmic View: The Universe in Forty Jumps” [3] by Kees Boeke to “Powers of 10” [6,13] by Charles and Ray Eames, and the recent Imax ?lm “Cosmic Voyage” [15]. We have added our own contribution [9], “Cosmic Clock,” which is an animation based entirely on the concepts and implementation described in this paper.

Keywords

Wavelet data compression data structures modeling topology visualization

Editors and affiliations

  • Gerald Farin
    • 1
  • Bernd Hamann
    • 2
  • Hans Hagen
    • 3
  1. 1.Department of Computer Science and EngineeringArizona State UniversityTempeUSA
  2. 2.Department of Computer ScienceUniversity of California, DavisDavisUSA
  3. 3.Department of Computer ScienceTechnical University KaiserslauternKaiserslauternGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-55787-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-62801-6
  • Online ISBN 978-3-642-55787-3
  • Series Print ISSN 1612-3786
  • About this book