Interactive Visual Data Analysis

Information

• Publication Type: Invited Talk
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: 9. November 2020
• Event: KAUST CEMSE Graduate Seminar (virtual)
• Location: KAUST, Saudi Arabia
• Open Access: yes
• Conference date: 9. November 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 concepts will be especially exemplified with a geospatial decision support system for flood management. 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.

Additional Files and Images

Weblinks

• https://cemse.kaust.edu.sa/events/event/interactive-visual-data-analysis
• Entry in reposiTUm (TU Wien Publication Database)

BibTeX

@talk{Groeller_V5_2020,
  title =      "Interactive Visual Data Analysis",
  author =     "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 concepts
               will be especially exemplified with a geospatial decision
               support system for flood management. 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 =      nov,
  event =      "KAUST CEMSE Graduate Seminar (virtual)",
  location =   "KAUST, Saudi Arabia",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V5_2020/",
}