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 Article
Information Retrieval Perspective to Meta-visualization
Jaakko Peltonen,Ziyuan Lin +1 more
TL;DR: A machine learning approach to optimize the meta-visualization, based on an information retrieval perspective, optimizes locations of visualizations on a display, so that visualizations giving similar information about data are close to each other.
Journal ArticleDOI
cellPACKexplorer: Interactive Model Building for Volumetric Data of Complex Cells
Magdalena Schwarzl,Magdalena Schwarzl,Ludovic Autin,Graham T. Johnson,Thomas Torsney-Weir,Torsten Möller +5 more
TL;DR: In this paper, the authors describe cellPACKexplorer, a system designed to help developers find errors in and improve their packing algorithm, focusing on visualizing the effects of recipe parameters on the final packing output.
Journal ArticleDOI
Interactive Sensor Dashboard for Smart Manufacturing
TL;DR: In this article , a smart sensor dashboard for a digital twin of a smart manufacturing workshop is presented, followed by three user studies on the visualization and interaction aspects of the smart sensors dashboard.
Journal ArticleDOI
Relative-perfectness of discrete gradient vector fields and multi-parameter persistent homology
Claudia Landi,Sara Scaramuccia +1 more
TL;DR: This paper introduces and studies a notion of perfectness for discrete gradient vector fields with respect to multi-parameter persistent homology, called relative-perfectness, and proofs that existing algorithms based on local homotopy expansions allow for efficient computability over simplicial complexes up to dimension $2.
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IPFViewer a visual analysis system for hierarchical ensemble data
TL;DR: IPFViewer is described, a visual analysis system for ensemble data, that is hierarchical, multidimensional and multimodal, that encourages the usage of side-by-side visualization of ensemble members.
References
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Journal ArticleDOI
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