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
COMFIS - Comparative Visualization of Simulated Medical Flow Data
Renata Georgia Raidou,Bernhard Sommer,Monique Meuschke,Samuel Voß,Pepe Eulzer,Gábor Janiga,Cameron Arens,Ralph Wickenhöfer,Bernhard Preim,Kai Lawonn +9 more
TL;DR: In this paper , the authors present a system for the comparative visual analysis of two simulated medical flow data sets, e.g. before and after an intervention, combining various visualization and interaction methods for comparing different aspects of the underlying, often time-dependent data.
Journal ArticleDOI
Correlation Analysis for Exploring Multivariate Data Sets
TL;DR: This paper proposes a correlation analysis method that identifies salient scalars for multivariate data exploration and constructs a surprise-influence map for users’ interaction to identify the salient scalar.
Journal Article
Numerical Analysis of Auto-ignition of Ethanol
TL;DR: In this article, a numerical analysis of auto ignition characteristics of ethanol is presented, in which fuel and nitrogen emerges from the bottom duct and hot air flows down from the top duct, and commercial CFD software FLUENT is used in the simulations.
Book ChapterDOI
Geovisualization of Nonresident Students’ Tabulation Using Line Clustering
TL;DR: This research introduces a new relocation method where line clustering is used instead of neighboring clustering as a mean to distribute density and results indicate that line clustered is capable to portray a better data density.
Visual Analysis of Multi-run Spatio-temporal Simulation Data
TL;DR: A number of approaches and tools are introduced, which can significantly improve an analysis of multi-run time-varying spatial data on all data aggregation levels from a field distribution of an single time frame up to overview of the whole simulations ensemble.
References
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Book
Self-Organizing Maps
TL;DR: The Self-Organising Map (SOM) algorithm was introduced by the author in 1981 as mentioned in this paper, and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it.
Journal ArticleDOI
The Elements of Statistical Learning
TL;DR: Chapter 11 includes more case studies in other areas, ranging from manufacturing to marketing research, and a detailed comparison with other diagnostic tools, such as logistic regression and tree-based methods.
Journal ArticleDOI
A Computer Movie Simulating Urban Growth in the Detroit Region
TL;DR: A Computer Movie Simulating Urban Growth in the Detroit Region as discussed by the authors was made to simulate urban growth in the city of Detroit, Michigan, United States of America, 1970, 1970.