rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Immersive Analytics
  name:
    name part: Marriott, Kim.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Schreiber, Falk.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Dwyer, Tim.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Klein, Karsten.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Riche, Nathalie Henry.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Itoh, Takayuki.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Stuerzlinger, Wolfgang.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Thomas, Bruce H.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 357 p. 98 illus. online resource.
  abstract: Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research. .
  table of contents: Immersive Analytics: An Introduction -- Immersive Analytics: Time to Reconsider the Value of 3D for Information Visualization -- Multisensory Immersive Analytics -- Interaction for Immersive Analytics -- Immersive Human-Centered Computational Analytics -- Immersive Visual Data Stories -- Situated Analytics -- Collaborative Immersive Analytics.
  note: edited by Kim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, Bruce H. Thomas.
  subject:
    topic: Database management
  subject:
    topic: Optical data processing
  subject:
    topic: Computer graphics
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Application software
  subject:
    topic: Database Management
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Computer Graphics
  subject:
    topic: User Interfaces and Human Computer Interaction
  subject:
    topic: Information Systems Applications (incl. Internet)
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Information Systems and Applications, incl. Internet/Web, and HCI ; 11190
  identifier: 9783030013882
  identifier: https://doi.org/10.1007/978-3-030-01388-2
  record info:
    record creation date: 181015
    record change date: 20191026231239.0
    record identifier: 978-3-030-01388-2