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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Journal ArticleDOI
Visualization multi-instance data sets [Visualización de conjuntos de datos de múltiples instancias]
TL;DR: This work proposes a tool for the visualization and analysis of data sets of the multi-instance learning paradigm and proposes a herramienta for the visualizacion and analisis of conjuntos of datos del paradigma de aprendizaje de multiples instancias.
Journal ArticleDOI
Multivariate visualization for atmospheric pollution
TL;DR: A K-means clustering technique is used in combination with a similarity metric between streamlines based on an iterative closest point method to cluster the initial streamlines and reduce the inter-occlusion between streams and isosurfaces to show much clearer wind field pattern and important features effectively.
Book ChapterDOI
An ROI Visual-Analytical Approach for Exploring Uncertainty in Reservoir Models
TL;DR: This paper introduces the region of interest concept, that helps to perform the entire analysis only based on a specific portion of the reservoir, and suggests that usefulness, usability and visual interactivity are the key strengths of this approach.
Proceedings ArticleDOI
Describing models in context – A step towards enhanced transparency of scientific processes underpinning policy making
Nicole Ostlaender,Tom Bailly-Salins,Matthew Hardy,Andrea Perego,Anders Friis-Christensen,Silvia dalla Costa +5 more
TL;DR: An application that takes a significant step towards enhanced transparency of scientific models used for policy making is described, which will contribute to emerging dialogue on best practice for model documentation.
Proceedings ArticleDOI
See it to believe it?
TL;DR: In a survey of 1,274 recent systems papers as mentioned in this paper , at least 7.7% (98) of them present a visualisation-in-the-loop tool and the majority of these publications pay no attention and give little explanation to implemented visualisations.
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.