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Exploring Immersive Analytics for Built Environments

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Immersive Analytics

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11190))

Abstract

This chapter overviews the application of immersive analytics to simulations of built environments through three distinct case studies. The first case study examines an immersive analytics approach based upon the concept of “Virtual Production Intelligence” for virtual prototyping tools throughout the planning phase of complete production sites. The second study addresses the 3D simulation of an extensive urban area (191 km\(^2\)) and the attendant immersive analytic considerations in an interactive model of a sustainable city. The third study reviews how immersive analytic overlays have been applied for virtual heritage in the reconstruction and crowd simulation of the medieval Cambodian temple complex of Angkor Wat.

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Authors and Affiliations

  1. Monash University, Melbourne, Australia

    Tom Chandler & Thomas Morgan

  2. RWTH Aachen University, Aachen, Germany

    Torsten Wolfgang Kuhlen

Authors
  1. Tom Chandler
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  2. Thomas Morgan
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  3. Torsten Wolfgang Kuhlen
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Corresponding author

Correspondence to Tom Chandler .

Editor information

Editors and Affiliations

  1. Monash University, Melbourne, VIC, Australia

    Kim Marriott

  2. University of Konstanz, Konstanz, Germany

    Falk Schreiber

  3. Monash University, Melbourne, VIC, Australia

    Tim Dwyer

  4. University of Konstanz, Konstanz, Germany

    Karsten Klein

  5. Microsoft , Redmond, WA, USA

    Nathalie Henry Riche

  6. Ochanomizu University, Tokyo, Japan

    Takayuki Itoh

  7. Simon Fraser University, Surrey, BC, Canada

    Wolfgang Stuerzlinger

  8. University of South Australia, Adelaide, SA, Australia

    Bruce H. Thomas

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Chandler, T., Morgan, T., Kuhlen, T.W. (2018). Exploring Immersive Analytics for Built Environments. In: Marriott, K., et al. Immersive Analytics. Lecture Notes in Computer Science(), vol 11190. Springer, Cham. https://doi.org/10.1007/978-3-030-01388-2_11

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  • DOI: https://doi.org/10.1007/978-3-030-01388-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01387-5

  • Online ISBN: 978-3-030-01388-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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