Journal ArticleDOI
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey
Johannes Kehrer,Helwig Hauser +1 more
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TLDR
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.Abstract:
Visualization and visual analysis play important roles in exploring, analyzing, and presenting scientific data. In many disciplines, data and model scenarios are becoming multifaceted: data are often spatiotemporal and multivariate; they stem from different data sources (multimodal data), from multiple simulation runs (multirun/ensemble data), or from multiphysics simulations of interacting phenomena (multimodel data resulting from coupled simulation models). Also, data can be of different dimensionality or structured on various types of grids that need to be related or fused in the visualization. This heterogeneity of data characteristics presents new opportunities as well as technical challenges for visualization research. Visualization and interaction techniques are thus often combined with computational analysis. In this survey, we study existing methods for visualization and interactive visual analysis of multifaceted scientific data. Based on a thorough literature review, a categorization of approaches is proposed. We cover a wide range of fields and discuss to which degree the different challenges are matched with existing solutions for visualization and visual analysis. This leads to conclusions with respect to promising research directions, for instance, to pursue new solutions for multirun and multimodel data as well as techniques that support a multitude of facets.read more
Citations
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Proceedings ArticleDOI
Interactive Spatiotemporal Visualization of Phase Space Particle Trajectories Using Distance Plots
Tyson Neuroth,Kwan-Liu Ma +1 more
TL;DR: By linking the distance plot with phase plots, one can more easily investigate the spatiotemporal patterns, and by extending the plot to visualize particle weights in conjunction with the phase space trajectories, the visualization better supports the needs of domain experts studying particle-in-cell simulations.
Posted Content
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization.
Aoyu Wu,Yun Wang,Xinhuan Shu,Dominik Moritz,Weiwei Cui,Haidong Zhang,Dongmei Zhang,Huamin Qu +7 more
TL;DR: Visualizations themselves have become a data format as discussed by the authors, and visualizations are increasingly created, stored, shared, and used with artificial intelligence (AI) techniques (AI4VIS).
Journal ArticleDOI
Visualisation of Control Software for Cyber-Physical Systems
TL;DR: In this paper, the authors provide a methodology to automatically generate a 2D diagram of a physical controller, starting from a canonical representation for the controller and relying on available open source graphing tools (e.g., Gnuplot).
Journal ArticleDOI
Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models
TL;DR: This paper presents a statistical framework to quantify positional probabilities of fibers extracted from uncertain bivariate fields and extends the state-of-the-art Gaussian models of uncertainty for bivariate data to other parametric distributions and more general nonparametric probability distributions and derives corresponding spatial probabilities of fiber probabilities.
Posted Content
Visual Analysis of Two-Phase Flow Displacement Processes in Porous Media
Steffen Frey,Stefan Scheller,N. K. Karadimitriou,Dongwon Lee,Guido Reina,Holger Steeb,Thomas Ertl +6 more
TL;DR: In this paper, the authors present the visual analysis of their novel parameter study of porous media experiments, focusing on gaining a better understanding of drainage processes on the micro-scale, and discuss how to directly compare experiments that exhibit processes at different temporal scales due to varying boundary and physical conditions.
References
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Journal ArticleDOI
The Elements of Statistical Learning
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Journal ArticleDOI
A Computer Movie Simulating Urban Growth in the Detroit Region
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