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Immersive Analytics pp 185–220Cite as

Situated Analytics

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

Abstract

This chapter introduces the concept of situated analytics that employs data representations organized in relation to germane objects, places, and persons for the purpose of understanding, sensemaking, and decision-making. The components of situated analytics are characterized in greater detail, including the users, tasks, data, representations, interactions, and analytical processes involved. Several case studies of projects and products are presented that exemplify situated analytics in action. Based on these case studies, a set of derived design considerations for building situated analytics applications are presented. Finally, there is a an outline of a research agenda of challenges and research questions to explore in the future.

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Author information

Authors and Affiliations

  1. University of South Australia, Adelaide, Australia

    Bruce H. Thomas & Ross T. Smith

  2. University of Central Florida, Orlando, USA

    Gregory F. Welch

  3. Inria, Rocquencourt, France

    Pierre Dragicevic

  4. University of Maryland, College Park, USA

    Niklas Elmqvist

  5. University of Manitoba, Winnipeg, Canada

    Pourang Irani

  6. Sorbonne University, Paris, France

    Yvonne Jansen

  7. Graz University of Technology, Graz, Austria

    Dieter Schmalstieg

  8. University Lyon, Lyon, France

    Aurélien Tabard

  9. Benha University, Benha, Egypt

    Neven A. M. ElSayed

  10. University of Calgary, Calgary, Canada

    Wesley Willett

Authors
  1. Bruce H. Thomas
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  2. Gregory F. Welch
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  3. Pierre Dragicevic
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  4. Niklas Elmqvist
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  5. Pourang Irani
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  6. Yvonne Jansen
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  7. Dieter Schmalstieg
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  8. Aurélien Tabard
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  9. Neven A. M. ElSayed
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  10. Ross T. Smith
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  11. Wesley Willett
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Corresponding author

Correspondence to Bruce H. Thomas .

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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Thomas, B.H. et al. (2018). Situated Analytics. 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_7

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  • DOI: https://doi.org/10.1007/978-3-030-01388-2_7

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