Information
- Publication Type: Invited Talk
- Workgroup(s)/Project(s):
- 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.Additional Files and Images
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Weblinks
BibTeX
@talk{Groeller_V1_2020, title = "Interactive Visual Analysis in the Computational Sciences", 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 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/", }