Information

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, and scalable visualizations. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the material and computational sciences will be discussed in detail. 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

No additional files or images.

Weblinks

BibTeX

@WorkshopTalk{Groeller-2017-IVAMCS,
  title =      "Interactive Visual Analysis in the Material and
               Computational Sciences",
  author =     "Meister Eduard Gr{"o}ller",
  year =       "2017",
  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, and scalable visualizations.
               The simultaneous exploration and visualization of spatial
               and abstract information is an important case in point.
               Several examples from the material and computational
               sciences will be discussed in detail. 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 =      "Workshop on Visual analysis of dynamic processes",
  location =   "Rigi Kulm, Switzerland",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-IVAMCS/",
}