Journal ArticleDOI
Approaches to uncertainty visualization
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TLDR
These uncertainty visualization techniques present data in such a manner that users are made aware of the locations and degree of uncertainties in their data so as to make more informed analyses and decisions.Abstract:
Visualized data often have dubious origins and quality. Different forms of uncertainty and errors are also introduced as the data are derived, transformed, interpolated, and finally rendered. In the absence of integrated presentation of data and uncertainty, the analysis of the visualization is incomplete at best and often leads to inaccurate or incorrect conclusions. This paper surveys techniques for presenting data together with uncertainty. These uncertainty visualization techniques present data in such a manner that users are made aware of the locations and degree of uncertainties in their data so as to make more informed analyses and decisions. The techniques include adding glyphs, adding geometry, modifying geometry, modifying attributes, animation, sonification, and psycho-visual approaches. We present our results in uncertainty visualization for environmental visualization, surface interpolation, global illumination with radiosity, flow visualization, and figure animation. We also present a classification of the possibilities in uncertainty visualization, and locate our contributions within this classification.read more
Citations
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Journal ArticleDOI
Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know
Alan M. MacEachren,Anthony C. Robinson,Susan Hopper,Steven Gardner,Robert K. Murray,Mark Gahegan,Elisabeth Hetzler +6 more
TL;DR: Progress toward visual tools and methods to help analysts manage and understand information uncertainty are reviewed and progress toward frameworks for representing uncertainty, visual representation and user control of displays of information uncertainty is assessed.
Journal ArticleDOI
Visual analysis of large graphs : state-of-the-art and future research challenges
T. von Landesberger,Arjan Kuijper,Arjan Kuijper,Tobias Schreck,Jörn Kohlhammer,J.J. van Wijk,Jean-Daniel Fekete,Dieter W. Fellner,Dieter W. Fellner +8 more
TL;DR: This State‐of‐the‐Art Report surveys available techniques for the visual analysis of large graphs and discusses various graph algorithmic aspects useful for the different stages of the visual graph analysis process.
Journal ArticleDOI
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey
Johannes Kehrer,Helwig Hauser +1 more
TL;DR: This survey studies existing methods for visualization and interactive visual analysis of multifaceted scientific data and suggests new solutions for multirun and multimodel data as well as techniques that support a multitude of facets.
Journal ArticleDOI
Communicating the Uncertainty of Harms and Benefits of Medical Interventions
TL;DR: Research has not yet identified best practices for communicating uncertainty to patients about harms and benefits of treatment, and more conceptual, qualitative, and quantitative studies are needed to explore fundamental questions about how people process, interpret, and respond to various types of uncertainty inherent in clinical decisions.
References
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Proceedings ArticleDOI
Marching cubes: A high resolution 3D surface construction algorithm
TL;DR: In this paper, a divide-and-conquer approach is used to generate inter-slice connectivity, and then a case table is created to define triangle topology using linear interpolation.
Book
The Visual Display of Quantitative Information
TL;DR: The visual display of quantitative information is shown in the form of icons and symbols in order to facilitate the interpretation of data.