EuroVisShort

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B:3D - Visualize Land-use Plans Interactively
(The Eurographics Association, 2013) Langbein, Max; Scheler, Inga; Ebert, Achim; Hagen, Hans; Mario Hlawitschka and Tino Weinkauf
In Europe, urban land-use plans only give a very abstract representation of possible building forms. Combined with a written statement describing all constraints, the so-called building code, architects have to start planning. This can create many problems by violating the building codes. To overcome these problems we developed a system visualizing building code violations in real-time and giving a spatial impression of the planned area by an additional output on 3D printers and 3D displays.
Characterization of Blood-Flow Patterns from Phase-Contrast MRI Velocity Fields
(The Eurographics Association, 2014) Pelt, Roy van; Fuster, Andrea; Claassen, Geert; Vilanova, Anna; N. Elmqvist and M. Hlawitschka and J. Kennedy
Hemodynamic information has proven valuable for analysis of cardiovascular diseases. Aberrant blood-flow patterns,for instance, often relate to disease progression. Magnetic resonance imaging enables blood-flow measurementsthat provide three-dimensional velocity fields during one heartbeat. However, visual analysis of these data ischallenging, because of the abundance and complexity of information. Explicit feature extraction can facilitate thepattern characterization, and hence support visualization techniques to effectively convey anomalous flow areas.In this work, we improve on existing pattern matching methods that characterize blood-flow patterns in volumetricimaging data. To this end, we propose a set of helical and vortical patterns that can be parameterized by a singlevariable. The characterization performance is validated on both synthetic and imaging blood-flow data. Moreover,we present a comprehensive visualization based on the pattern matching results, enabling semi-quantitativeassessment of the patterns in relation to the cardiovascular anatomy.
ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks
(The Eurographics Association, 2015) Mittelstädt, Sebastian; Jäckle, Dominik; Stoffel, Florian; Keim, Daniel A.; E. Bertini and J. Kennedy and E. Puppo
Colormap design is challenging because the encoding must match the requirements of data and analysis tasks as well as the perception of the target user. A number of well-known tools exist to support the design of colormaps. ColorBrewer [HB03], for example, is a great resource to select colors for qualitative, sequential, and diverging data. PRAVDAColor [BRT95] and Tominski et al. [TFS08], for example, provide valuable guidelines for single analysis tasks such as localization, identification, and comparison. However, for solving real world problems in most practical applications, single elementary analysis tasks are not sufficient but need to be combined. In this paper, we propose a methodology and tool to design colormaps for combined analysis tasks. We define color mapping requirements and develop a set of design guidelines. The visualization expert is integrated in the design process to incorporate his/her design requirements, which may depend on the application, culture, and aesthetics. Our ColorCAT tool guides novice and expert designers through the creation of colormaps and allows the exploration of the design space of color mapping for combined analysis tasks.
Crystal Glyph: Visualization of Directional Distributions Based on the Cube Map
(The Eurographics Association, 2016) Tong, Xin; Zhang, Huijie; Jacobsen, Chris; Shen, Han-Wei; McCormick, Patrick; Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll
High resolution simulations are capable of generating very large vector fields that are expensive to store and analyze. In ad- dition, the velocity fields generated from some particle simulations are not stored on spatial grids, which become difficult to visualize using some traditional vector field visualization methods such as streamlines. Furthermore, the noise and/or uncer- tainty contained in the data often affects the quality of visualization by producing visual clutter that interferes with both the interpretation and identification of important features. An alternative approach is to store the distribution of many vector ori- entations and visualize the distribution with 3D glyphs. This paper presents the cube map histogram, a new data structure for storing the distribution of three-dimensional vector directions. We also present a glyph called the crystal glyph that effectively visualizes the directional distribution using OpenGL cube map textures. By placing crystal glyphs in the 3D data space, users can identify the directional distribution of the regional vector field from the shape and color of the glyph without visual clutter.
Exploratory Text Analysis using Lexical Episode Plots
(The Eurographics Association, 2015) Gold, Valentin; Rohrdantz, Christian; El-Assady, Mennatallah; E. Bertini and J. Kennedy and E. Puppo
In this paper, we present Lexical Episode Plots, a novel automated text-mining and visual analytics approach for exploratory text analysis. In particular, we first describe an algorithm for automatically annotating text regions to examine prominent themes within natural language texts. The algorithm is based on lexical chaining to find spans of text in which the frequency of a term is significantly higher than its average in the document. In a second step we present an interactive visualization supporting the exploration and interpretation of Lexical Episodes. The visualization links higher-level thematic structures with content-level details. The methodological capabilities of our approach are illustrated by analyzing the televised US presidential election debates.
Illustrative Rendering of Vortex Cores
(The Eurographics Association, 2013) Shafii, Sohail; Obermaier, Harald; Kolá?, Václav; Hlawitschka, Mario; Garth, Christoph; Hamann, Bernd; Joy, Kenneth I.; Mario Hlawitschka and Tino Weinkauf
Vortices are features crucial for understanding transitional and turbulent flow fields, and have often been visualized using isosurfaces, hulls, and line-like structures. However, they have not been represented in a nonphotorealistic manner that intuitively reflects their local characteristics.We introduce a novel visualization method that represents these features as illustrative vortex cores, and show how this illustrative method clearly depicts vortex properties such as direction, rotational strength, spatial extension, and underlying flow behavior simultaneously, in a fashion superior to standard visualization approaches. Our non-photorealistic visualizations leverage the axis and rotational properties of a vortex detector to depict the direction and the rotational strength of vortices, respectively. Furthermore, we extract flow behavior in the vicinity of the vortex cores to provide context for the vortices that we extract. We demonstrate the efficacy of our illustrative vortex extraction framework in two commonly used data sets by showing how they characterize the properties of the examined flow fields.
In Situ and Post Processing Workflows for Asteroid Ablation Studies
(The Eurographics Association, 2017) Patchett, John M.; Nouanesengsy, Boonthanome; Gisler, Galen; Ahrens, James; Hagen, Hans; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Simulation scientists need to make decisions about what and how much output to produce. They must balance their ability to efficiently ingest the analysis with their ability to get more analysis. We study this balance as a tradeoff between flexibility of saved data products and accessibility of saved data products. One end of the spectrum is raw data that comes directly from the simulation, making it highly flexible, but inaccessible due to its size and format. The other end of the spectrum is highly processed and comparatively small data, often in the form of imagery or single scalar values. This data is typically highly accessible, needing no special equipment or software, but lacks flexibility for deeper analysis than what is presented. We lay out a user driven model that considers the scientists' output needs in regards to flexibility and accessibility. This model allows us to analyze a real-world example of a large simulation lasting months of wall clock time on thousands of processing cores. Though the ensemble of simulation's original intent was to study asteroid generated tsunamis, the simulations are now being used beyond that scope to study the asteroid ablation as it moves through the atmosphere. With increasingly large supercomputers, designing workflows that support an intentional and understood balance of flexibility and accessibility is necessary. In this paper, we present a new strategy developed from a user driven perspective to support the collaborative capability between simulation developers, designers, users and analysts to effectively support science by wisely using both computer and human time.
Scoped: Visualising the Scope Chain Within Source Code
(The Eurographics Association, 2017) Bacher, Ivan; Namee, Brian Mac; Kelleher, John D.; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
This paper presents an interactive visualisation tool that encodes the scope chain, and information related to the scope chain, within source code. The main goal of the tool is to support programmers when dealing with issues related to scope and to provide answers to questions such as to which scope does a specific variable or function belong to and can I access a specific variable from the scope I am currently located in. The design guidelines followed during the implementation of the tool, as well as the design rationale behind the main features of the tool are described. Finally, the results of a pilot user experience evaluation study are presented where an interesting observation was that the tool seemed to support programmers in verifying and correcting their assumptions when asked questions about specific scoping issues within a source code document.
Using Icicle Trees to Encode the Hierarchical Structure of Source Code
(The Eurographics Association, 2016) Bacher, Ivan; Namee, Brian Mac; Kelleher, John D.; Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll
This paper presents a study which evaluates the use of a tree visualisation (icicle tree) to encode the hierarchical structure of source code. The tree visualisation was combined with a source code editor in order to function as a compact overview to facilitate the process of comprehending the global structure of a source code document. Results from our study show that providing an overview visualisation led to an increase in accuracy and a decrease in completion time when participants performed counting tasks. However, in locating tasks, the presence of the visualisation led to a decrease in participants' performance.
VarVis: Visualizing Anatomical Variation in Branching Structures
(The Eurographics Association, 2016) Smit, Noeska; Kraima, Annelot; Jansma, Daniel; deRuiter, Marco; Eisemann, Elmar; Vilanova, Anna; Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll
Anatomical variations are naturally-occurring deviations from typical human anatomy. While these variations are considered normal and non-pathological, they are still of interest in clinical practice for medical specialists such as radiologists and transplantation surgeons. The complex variations in branching structures, for instance in arteries or nerves, are currently visualized side-by-side in illustrations or expressed using plain text in medical publications. In this work, we present a novel way of visualizing anatomical variations in complex branching structures for educational purposes: VarVis. VarVis consists of several linked views that reveal global and local similarities and differences in the variations. We propose a novel graph representation to provide an overview of the topological changes. Our solution involves a topological similarity measure, which allows the user to select variations at a global level based on their degree of similarity. After a selection is made, local topological differences can be interactively explored using illustrations and topology graphs. We also incorporate additional information regarding the probability of the various cases. Our solution has several advantages over traditional approaches, which we demonstrate in an evaluation.
Visual Analytics of Work Behavior Data - Insights on Individual Differences
(The Eurographics Association, 2015) Koldijk, Saskia; Bernard, Jürgen; Ruppert, Tobias; Kohlhammer, Jörn; Neerincx, Mark; Kraaij, Wessel; E. Bertini and J. Kennedy and E. Puppo
Stress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology and subjective experience. The challenge is to interpret this multi-modal low level sensor data. In this work, we alternate between automatic analysis procedures and data visualization. Our aim is twofold: 1) to research the relations of various sensor features with (stress related) mental states, and 2) to develop suitable visualization methods for insight into a large amount of behavioral data. Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations.
Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes
(The Eurographics Association, 2014) Wiens, Vitalis; Schlaffke, Lara; Schmidt-Wilcke, Tobias; Schultz, Thomas; N. Elmqvist and M. Hlawitschka and J. Kennedy
Standard streamtubes for the visualization of diffusion MRI data are rendered either with a circular or with anelliptic cross section whose aspect ratio indicates the relative magnitudes of the medium and minor eigenvalues.Inspired by superquadric tensor glyphs, we propose to render streamtubes with a superquadric cross section,which develops sharp edges to more clearly convey the orientation of the second and third eigenvectors where theyare uniquely defined, while maintaining a circular shape when the smaller two eigenvalues are equal. As a secondcontribution, we apply our novel superquadric streamtubes to visualize uncertainty in the tracking direction ofHARDI tractography, which we represent using a novel propagation uncertainty tensor

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