Interactive visualization of large scale time varying data sets

  • Authors:
  • Patric Ljung;Mark Dieckmann;Anders Ynnerman

  • Affiliations:
  • University of Linköping, Campus Norrköping, Sweden;University of Linköping, Campus Norrköping, Sweden;University of Linköping, Campus Norrköping, Sweden

  • Venue:
  • ACM SIGGRAPH 2002 conference abstracts and applications
  • Year:
  • 2002

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Abstract

Visual analysis of time varying scientific data can be divided into four different categories with an increasing degree of user interaction. 1) Production of static images representing scientific data at selected times. 2) Production of video sequences in which graphical representation, time line and viewpoints are predefined. 3) Interactive streaming of logged data sets, allowing the user to alter graphical representation, filtering, time lines and viewpoints. 4) Real time interaction with the simulation or experiment that produces the data, allowing the user to alter parameters, graphical representation, filtering, time lines and viewpoints.