Information

• Publication Type: Invited Talk
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: 29. January 2020
• Event: High Visual Computing (HiVisComp) 2020
• Location: Hotel Praha, Ore Mountains, Czech Republic
• Open Access: yes

Abstract

Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the computational sciences will be discussed in detail. These concern: parameter studies of dataset series; visual analytics for the exploration and assessment of segmentation errors; quantitative visual analytics with structured brushing and linked statistics; visual comparison of 3D volumes through space-filling curves. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.

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BibTeX

@talk{Groeller_V1_2020,
  title =      "Interactive Visual Analysis in the Computational Sciences",
  author =     "Meister Eduard Gr\"{o}ller",
  year =       "2020",
  abstract =   "Visualization and visual computing use computer-supported,
               interactive, visual representations of (abstract) data to
               amplify cognition. In recent years data complexity
               concerning volume, veracity, velocity, and variety has
               increased considerably. This is due to new data sources as
               well as the availability of uncertainty, error and tolerance
               information. Instead of individual objects entire sets,
               collections, and ensembles are visually investigated. There
               is a need for visual analyses, comparative visualization,
               quantitative visualizations, scalable visualizations, and
               linked/integrated views. The simultaneous exploration and
               visualization of spatial and abstract information is an
               important case in point. Several examples from the
               computational sciences will be discussed in detail. These
               concern: parameter studies of dataset series; visual
               analytics for the exploration and assessment of segmentation
               errors; quantitative visual analytics with structured
               brushing and linked statistics; visual comparison of 3D
               volumes through space-filling curves. Given the amplified
               data variability, interactive visual data analyses are
               likely to gain in importance in the future. Research
               challenges and directions are sketched at the end of the
               talk. ",
  month =      jan,
  event =      "High Visual Computing (HiVisComp) 2020",
  location =   "Hotel Praha, Ore Mountains, Czech Republic",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V1_2020/",
}