IRVE-Serve: a visualization framework for spatially-registered time series data

  • Authors:
  • Nicholas F. Polys;Michael Shapiro;Karen Duca

  • Affiliations:
  • State University;Tufts University School of Medicine;Kwame Nkrumah University, Kumasi, GH

  • Venue:
  • Proceedings of the twelfth international conference on 3D web technology
  • Year:
  • 2007

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Abstract

Scientists regularly confront situations where they are trying to understand large quantities of information, that vary over time and space. Analyzing such systems where structure and function are related is still a challenge despite the continued improvement of visualization tools and techniques. Given the spatial basis of many simulations, Information Rich Virtual Environments (IRVEs) can be a successful way of presenting heterogeneous information in an intuitively comprehensible form. In this paper we describe the evolution of a web-based IRVE delivery system for simulation data. Our framework decouples geometry, the underlying data set, and the expressive repertory for information display. This allows us to incorporate domain-specific information while providing for easy retargeting of the information displayed in that domain. As a result of these abstractions, we are able to continually expand and improve our visual mappings and components and finally apply our framework in a completely unrelated domain.