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Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment

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Mining Spatio-Temporal Information Systems

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 699))

Abstract

A multi-key data organization is developed for handling a continuous stream of large scale, time-dependent, 3D weather data in a global environment. The structure supports inserting the data in real-time as they arrive or retrieving weather events at desired times and locations from archived weather histories. In either case data are organized for interactive visualization and visual query.

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Author information

Authors and Affiliations

  1. GVU Center and Center for GIS and Spatial Analysis Technologies, Georgia Institute of Technology, USA

    William Ribarsky, Nickolas Faust, Zachary Wartell, Christopher Shaw & Justin Jang

Authors
  1. William Ribarsky
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  2. Nickolas Faust
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  3. Zachary Wartell
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  4. Christopher Shaw
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  5. Justin Jang
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Editor information

Editors and Affiliations

  1. Naval Research Laboratory, Stennis Space Center, MS, USA

    Roy Ladner  & Kevin Shaw  & 

  2. Computer Science Department, University of New Orleans, LA, USA

    Mahdi Abdelguerfi

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© 2002 Springer Science+Business Media New York

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Ribarsky, W., Faust, N., Wartell, Z., Shaw, C., Jang, J. (2002). Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment. In: Ladner, R., Shaw, K., Abdelguerfi, M. (eds) Mining Spatio-Temporal Information Systems. The Springer International Series in Engineering and Computer Science, vol 699. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1149-6_5

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  • DOI: https://doi.org/10.1007/978-1-4615-1149-6_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5416-1

  • Online ISBN: 978-1-4615-1149-6

  • eBook Packages: Springer Book Archive

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