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.
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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/",
}