Andrew C. Bauer, Hasan Abbasi, James Ahrens, Hank Childs, Berk Geveci, Scott Klasky, Kenneth Moreland, Patrick O'Leary, Venkatram Vishwanath, Brad Whitlock, and E. W. Bethel

Applications

A Survey on Visual Analysis Approaches for Financial Data

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Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, and David S. Ebert

The State of the Art in Cartograms

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Sabrina Nusrat and Stephen Kobourov

Feature Extraction for Scalar and Vector Fields

A Survey of Topology-based Methods in Visualization

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Christian Heine, Heike Leitte, Mario Hlawitschka, Federico Iuricich, Leila De Floriani, Gerik Scheuermann, Hans Hagen, and Christoph Garth

State of the Art in Transfer Functions for Direct Volume Rendering

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Patric Ljung, Jens Krüger, Eduard Gröller, Markus Hadwiger, Charles D. Hansen, and Anders Ynnerman

Information Visualization Techniques

Matrix Reordering Methods for Table and Network Visualization

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Michael Behrisch, Benjamin Bach, Nathalie Henry Riche, Tobias Schreck, and Jean-Daniel Fekete

Formalizing Emphasis in Information Visualization

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Kyle Wm. Hall, Charles Perin, Peter Kusalik, Carl Gutwin, and Sheelagh Carpendale

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Now showing 1 - 11 of 11

EuroVis STARs 2016: Frontmatter
(Eurographics Association, 2016) Ross Maciejewski; Timo Ropinski; Anna Vilanova;
A Survey of Perceptually Motivated 3D Visualization of Medical Image Data
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Preim, Bernhard; Baer, Alexandra; Cunningham, Douglas; Isenberg, Tobias; Ropinski, Timo; Ross Maciejewski and Timo Ropinski and Anna Vilanova
This survey provides an overview of perceptually motivated techniques for the visualization of medical image data, including physics-based lighting techniques as well as illustrative rendering that incorporate spatial depth and shape cues. Additionally, we discuss evaluations that were conducted in order to study the perceptual effects of these visualization techniques as compared to conventional techniques. These evaluations assessed depth and shape perception with depth judgment, orientation matching, and related tasks. This overview of existing techniques and their evaluation serves as a basis for defining the evaluation process of medical visualizations and to discuss a research agenda.
Visual Analysis of Biomolecular Cavities: State of the Art
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Krone, Michael; Kozlíková, Barbora; Lindow, Norbert; Baaden, Marc; Baum, Daniel; Parulek, Julius; Hege, Hans-Christian; Viola, Ivan; Ross Maciejewski and Timo Ropinski and Anna Vilanova
In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.
State-of-the-Art Report in Web-based Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Mwalongo, Finian; Krone, Michael; Reina, Guido; Ertl, Thomas; Ross Maciejewski and Timo Ropinski and Anna Vilanova
In this report, we review the current state of the art of web-based visualization applications. Recently, an increasing number of web-based visualization applications have emerged. This is due to the fact that new technologies offered by modern browsers greatly increased the capabilities for visualizations on the web. We first review these technical aspects that are enabling this development. This includes not only improvements for local rendering like WebGL and HTML5, but also infrastructures like grid or cloud computing platforms. Another important factor is the transfer of data between the server and the client. Therefore, we also discuss advances in this field, for example methods to reduce bandwidth requirements like compression and other optimizations such as progressive rendering and streaming. After establishing these technical foundations, we review existing web-based visualization applications and prototypes from various application domains. Furthermore, we propose a classification of these web-based applications based on the technologies and algorithms they employ. Finally, we also discuss promising application areas that would benefit from web-based visualization and assess their feasibility based on the existing approaches.
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Bauer, Andrew C.; Abbasi, Hasan; Ahrens, James; Childs, Hank; Geveci, Berk; Klasky, Scott; Moreland, Kenneth; O'Leary, Patrick; Vishwanath, Venkatram; Whitlock, Brad; Bethel, E. W.; Ross Maciejewski and Timo Ropinski and Anna Vilanova
The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i.e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed /visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme-scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization.
A Survey of Topology-based Methods in Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Heine, Christian; Leitte, Heike; Hlawitschka, Mario; Iuricich, Federico; Floriani, Leila De; Scheuermann, Gerik; Hagen, Hans; Garth, Christoph; Ross Maciejewski and Timo Ropinski and Anna Vilanova
This paper presents the state of the art in the area of topology-based visualization. It describes the process and results of an extensive annotation for generating a definition and terminology for the field. The terminology enabled a typology for topological models which is used to organize research results and the state of the art. Our report discusses relations among topological models and for each model describes research results for the computation, simplification, visualization, and application. The paper identifies themes common to subfields, current frontiers, and unexplored territory in this research area.
A Survey on Visual Analysis Approaches for Financial Data
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Ko, Sungahn; Cho, Isaac; Afzal, Shehzad; Yau, Calvin; Chae, Junghoon; Malik, Abish; Beck, Kaethe; Jang, Yun; Ribarsky, William; Ebert, David S.; Ross Maciejewski and Timo Ropinski and Anna Vilanova
Market participants and businesses have made tremendous efforts to make the best decisions in a timely manner under varying economic and business circumstances. As such, decision-making processes based on financial data have been a popular topic in industries. However, analyzing financial data is a non-trivial task due to large volume, diversity and complexity, and this has led to rapid research and development of visualizations and visual analytics systems for financial data exploration. Often, the development of such systems requires researchers to collaborate with financial domain experts to better extract requirements and challenges in their tasks. Work to systematically study and gather the task requirements and to acquire an overview of existing visualizations and visual analytics systems that have been applied in financial domains with respect to real-world data sets has not been completed. To this end, we perform a comprehensive survey of visualizations and visual analytics. In this work, we categorize financial systems in terms of data sources, applied automated techniques, visualization techniques, interaction, and evaluation methods. For the categorization and characterization, we utilize existing taxonomies of visualization and interaction. In addition, we present task requirements extracted from interviews with domain experts in order to help researchers design better systems with detailed goals.
The State of the Art in Cartograms
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Nusrat, Sabrina; Kobourov, Stephen; Ross Maciejewski and Timo Ropinski and Anna Vilanova
Cartograms combine statistical and geographical information in thematic maps, where areas of geographical regions (e.g., countries, states) are scaled in proportion to some statistic (e.g., population, income). Cartograms make it possible to gain insight into patterns and trends in the world around us and have been very popular visualizations for geo-referenced data for over a century. This work surveys cartogram research in visualization, cartography and geometry, covering a broad spectrum of different cartogram types: from the traditional rectangular and table cartograms, to Dorling and diffusion cartograms. A particular focus is the study of the major cartogram dimensions: statistical accuracy, geographical accuracy, and topological accuracy. We review the history of cartograms, describe the algorithms for generating them, and consider task taxonomies. We also review quantitative and qualitative evaluations, and we use these to arrive at design guidelines and research challenges.
State of the Art in Transfer Functions for Direct Volume Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Ljung, Patric; Krüger, Jens; Gröller, Eduard; Hadwiger, Markus; Hansen, Charles D.; Ynnerman, Anders; Ross Maciejewski and Timo Ropinski and Anna Vilanova
A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances. TFs also enable interactive volumetric exploration of complex data. The purpose of this state-of-the-art report (STAR) is to provide an overview of research into the various aspects of TFs, which lead to interpretation of the underlying data through the use of meaningful visual representations. The STAR classifies TF research into the following aspects: dimensionality, derived attributes, aggregated attributes, rendering aspects, automation, and user interfaces. The STAR concludes with some interesting research challenges that form the basis of an agenda for the development of next generation TF tools and methodologies.
Matrix Reordering Methods for Table and Network Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Behrisch, Michael; Bach, Benjamin; Riche, Nathalie Henry; Schreck, Tobias; Fekete, Jean-Daniel; Ross Maciejewski and Timo Ropinski and Anna Vilanova
This survey provides a description of algorithms to reorder visual matrices of tabular data and adjacency matrix of networks. The goal of this survey is to provide a comprehensive list of reordering algorithms published in different fields such as statistics, bioinformatics, or graph theory. While several of these algorithms are described in publications and others are available in software libraries and programs, there is little awareness of what is done across all fields. Our survey aims at describing these reordering algorithms in a unified manner to enable a wide audience to understand their differences and subtleties. We organize this corpus in a consistent manner, independently of the application or research field. We also provide practical guidance on how to select appropriate algorithms depending on the structure and size of the matrix to reorder, and point to implementations when available.
Formalizing Emphasis in Information Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Hall, Kyle Wm.; Perin, Charles; Kusalik, Peter G.; Gutwin, Carl; Carpendale, Sheelagh; Ross Maciejewski and Timo Ropinski and Anna Vilanova
We provide a fresh look at the use and prevalence of emphasis effects in Infovis. Through a survey of existing emphasis frameworks, we extract a set-based approach that uses visual prominence to link visually and algorithmically diverse emphasis effects. Visual prominence provides a basis for describing, comparing and generating emphasis effects when combined with a set of general features of emphasis effects. Therefore, we use visual prominence and these general features to construct a new mathematical Framework for Information Visualization Emphasis, FIVE. The concepts we introduce to describe FIVE unite the emphasis literature and point to several new research directions for emphasis in information visualization.

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