35-Issue 3

 

EuroVis 2016 - 18th EG/VGTC Conference on Visualization
Groningen, the Netherlands, 6-10 June 2016

Preface and Table of Contents
High-Dimensional Data
The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data
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Shusen Liu, Peer-Timo Bremer, Jayaraman Thiagarajan Jayaraman, Bei Wang, Brian Summa, and Valerio Pascucci
Enhancing Scatterplots with Multi-Dimensional Focal Blur
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Joachim Staib, Sebastian Grottel, and Stefan Gumhold
Hierarchical Stochastic Neighbor Embedding
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Nicola Pezzotti, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, and Anna Vilanova
Exploring Items and Features with IF,FI-Tables
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Paul van der Corput and Jarke J. van Wijk
Networks and Graphs 1
Comparing Node-Link and Node-Link-Group Visualizations From An Enjoyment Perspective
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Bahador Saket, Carlos Scheidegger, and Stephen Kobourov
Interactive 3D Force-Directed Edge Bundling
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Daniel Zielasko, Benjamin Weyers, Bernd Hentschel, and Torsten W. Kuhlen
TimeArcs: Visualizing Fluctuations in Dynamic Networks
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Tuan Nhon Dang, Nick Pendar, and Angus G. Forbes
Pathfinder: Visual Analysis of Paths in Graphs
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Christian Partl, Samuel Gratzl, Marc Streit, Anne-Mai Wassermann, Hanspeter Pfister, Dieter Schmalstieg, and Alexander Lex
Structures, Clusters, and Patterns
Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology
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Bastian Rieck and Heike Leitte
Space-Time Bifurcation Lines for Extraction of 2D Lagrangian Coherent Structures
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Gustavo Mello Machado, Sebastian Boblest, Thomas Ertl, and Filip Sadlo
Visualizing the Impact of Geographical Variations on Multivariate Clustering
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Yifan Zhang, Wei Luo, Elizabeth A. Mack, and Ross Maciejewski
Charts and Glyphs
Comparing Bar Chart Authoring with Microsoft Excel and Tangible Tiles
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Tiffany Wun, Jennifer Payne, Samuel Huron, and Sheelagh Carpendale
Arcs, Angles, or Areas: Individual Data Encodings in Pie and Donut Charts
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Drew Skau and Robert Kosara
How Ordered Is It? On the Perceptual Orderability of Visual Channels
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David H. S. Chung, Daniel Archambault, Rita Borgo, Darren J. Edwards, Robert S. Laramee, and Min Chen
Glyphs for Asymmetric Second-Order 2D Tensors
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Nicholas Seltzer and Gordon Kindlmann
Biological Data Visualization
Visualizing Co-occurrence of Events in Populations of Viral Genome Sequences
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Alper Sarikaya, Michael Correll, Jorge M. Dinis, David H. O'Connor, and Michael Gleicher
Visibility Equalizer Cutaway Visualization of Mesoscopic Biological Models
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Mathieu Le Muzic, Peter Mindek, Johannes Sorger, Ludovic Autin, David S. Goodsell, and Ivan Viola
Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets
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Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, and Anna Vilanova
Evaluating Viewpoint Entropy for Ribbon Representation of Protein Structure
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Julian Heinrich, Jenny Vuong, Christopher J. Hammang, Andrew Wu, Markus Rittenbruch, Jim Hogan, Margot Brereton, and Sean I. O'Donoghue
Volume Data Applications
GEMSe: Visualization-Guided Exploration of Multi-channel Segmentation Algorithms
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Bernhard Fröhler, Torsten Möller, and Christoph Heinzl
Visual Analysis of Defects in Glass Fiber Reinforced Polymers for 4DCT Interrupted In situ Tests
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Alexander Amirkhanov, Artem Amirkhanov, Dietmar Salaberger, Johann Kastner, Eduard Gröller, and Christoph Heinzl
Parallel Marching Blocks: A Practical Isosurfacing Algorithm for Large Data on Many-Core Architectures
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Baoquan Liu, Gordon J. Clapworthy, Feng Dong, and Enhua Wu
Prediction and Forecasting
Visual Analysis of Spatial Variability and Global Correlations in Ensembles of Iso-Contours
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Florian Ferstl, Mathias Kanzler, Marc Rautenhaus, and Rüdiger Westermann
Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response
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Renata Georgia Raidou, Oscar Casares-Magaz, Ludvig Paul Muren, Uulke A. van der Heide, Jarle Rørvik, Marcel Breeuwer, and Anna Vilanova
Coordinated Views and Interaction Design
Faceted Views of Varying Emphasis (FaVVEs): a Framework for Visualising Multi-perspective Small Multiples
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Roger Beecham, Chris Rooney, Sebastian Meier, Jason Dykes, Aidan Slingsby, Cagatay Turkay, Jo Wood, and B. L. William Wong
Towards Quantitative Visual Analytics with Structured Brushing and Linked Statistics
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Sanjin Radoš, Rainer Splechtna, Kresimir Matkovic, Mario Duras, Eduard Gröller, and Helwig Hauser
Designing Multiple Coordinated Visualizations for Tablets
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Ramik Sadana and John Stasko
Visual Debugging Techniques for Reactive Data Visualization
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Jane Hoffswell, Arvind Satyanarayan, and Jeffrey Heer
Networks and Graphs 2
BubbleNet: A Cyber Security Dashboard for Visualizing Patterns
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Sean McKenna, Diane Staheli, Cody Fulcher, and Miriah Meyer
Using Visualization to Explore Original and Anonymized LBSN Data
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Ebrahim Tarameshloo, Mona Hosseinkhani Loorak, Philip W. L. Fong, and Sheelagh Carpendale
Visual Analysis of Governing Topological Structures in Excitable Network Dynamics
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Quynh Quang Ngo, Marc-Thorsten Hütt, and Lars Linsen
Time Series Data and Sequences
Dynamic Change Arcs to Explore Model Forecasts
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Carmen St. Jean, Colin Ware, and Robert Gamble
Time-Series Plots Integrated in Parallel-Coordinates Displays
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Henning Gruendl, Patrick Riehmann, Yves Pausch, and Bernd Froehlich
PhysioEx: Visual Analysis of Physiological Event Streams
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Rishikesan Kamaleswaran, Christopher Collins, Andrew James, and Carolyn McGregor
There is More to Streamgraphs than Movies: Better Aesthetics via Ordering and Lassoing
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Marco Di Bartolomeo and Yifan Hu
Flow Visualization
Semi-automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta
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Monique Meuschke, Benjamin Köhler, Uta Preim, Bernhard Preim, and Kai Lawonn
Critical Points of Gaussian-Distributed Scalar Fields on Simplicial Grids
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Tom Liebmann and Gerik Scheuermann
Source Inversion by Forward Integration in Inertial Flows
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Tobias Günther and Holger Theisel
MCFTLE: Monte Carlo Rendering of Finite-Time Lyapunov Exponent Fields
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Tobias Günther, Alexander Kuhn, and Holger Theisel
Volume Data Visualization
Similarity Voting based Viewpoint Selection for Volumes
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Yubo Tao, Qirui Wang, Wei Chen, Yingcai Wu, and Hai Lin
Decoupled Shading for Real-time Heterogeneous Volume Illumination
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Yubo Zhang and Kwan-Liu Ma
Retailoring Box Splines to Lattices for Highly Isotropic Volume Representations
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Balázs Csébfalvi and Gergely Rácz
Text and Document Data
TextDNA: VisualizingWord Usage with Configurable Colorfields
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Danielle Albers Szafir, Deidre Stuffer, Yusef Sohail, and Michael Gleicher
ConToVi: Multi-Party Conversation Exploration using Topic-Space Views
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Mennatallah El-Assady, Valentin Gold, Carmela Acevedo, Christopher Collins, and Daniel Keim
A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation
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Jiawei Zhang, Benjamin Ahlbrand, Abish Malik, Junghoon Chae, Zhiyu Min, Sungahn Ko, and David S. Ebert
Geospatial Data Visualization
Location-dependent Generalization of Road Networks Based on Equivalent Destinations
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Thomas C. van Dijk, Jan-Henrik Haunert, and Johannes Oehrlein
Composite Flow Maps
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Daniel Cornel, Artem Konev, Bernhard Sadransky, Zsolt Horváth, Andrea Brambilla, Ivan Viola, and Jürgen Waser
Exploratory Visual Analysis for Animal Movement Ecology
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Aidan Slingsby and Emiel van Loon
Story, History, and Evolution
AVOCADO: Visualization of Workflow-Derived Data Provenance for Reproducible Biomedical Research
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Holger Stitz, Stefan Luger, Marc Streit, and Nils Gehlenborg
From Visual Exploration to Storytelling and Back Again
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Samuel Gratzl, Alexander Lex, Nils Gehlenborg, Nicola Cosgrove, and Marc Streit

Recent Submissions

  • AVOCADO: Visualization of Workflow-Derived Data Provenance for Reproducible Biomedical Research 

    Stitz, Holger; Luger, Stefan; Streit, Marc; Gehlenborg, Nils (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    A major challenge in data-driven biomedical research lies in the collection and representation of data provenance information to ensure that findings are reproducibile. In order to communicate and reproduce multi-step ...

  • From Visual Exploration to Storytelling and Back Again 

    Gratzl, Samuel; Lex, Alexander; Gehlenborg, Nils; Cosgrove, Nicola; Streit, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    The primary goal of visual data exploration tools is to enable the discovery of new insights. To justify and reproduce insights, the discovery process needs to be documented and communicated. A common approach to documenting ...

  • Exploratory Visual Analysis for Animal Movement Ecology 

    Slingsby, Aidan; Loon, Emiel van (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Movement ecologists study animals' movement to help understand their behaviours and interactions with each other and the environment. Data from GPS loggers are increasingly important for this. These data need to be processed, ...

  • Composite Flow Maps 

    Cornel, Daniel; Konev, Artem; Sadransky, Bernhard; Horváth, Zsolt; Brambilla, Andrea; Viola, Ivan; Waser, Jürgen (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Flow maps are widely used to provide an overview of geospatial transportation data. Existing solutions lack the support for the interactive exploration of multiple flow components at once. Flow components are given by ...

  • A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation 

    Zhang, Jiawei; Ahlbrand, Benjamin; Malik, Abish; Chae, Junghoon; Min, Zhiyu; Ko, Sungahn; Ebert, David S. (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Real-time microblogs can be utilized to provide situational awareness during emergency and disaster events. However, the utilization of these datasets requires the decision makers to perform their exploration and analysis ...

  • Location-dependent Generalization of Road Networks Based on Equivalent Destinations 

    Dijk, Thomas C. van; Haunert, Jan-Henrik; Oehrlein, Johannes (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Suppose a user located at a certain vertex in a road network wants to plan a route using a wayfinding map. The user's exact destination may be irrelevant for planning most of the route, because many destinations will be ...

  • ConToVi: Multi-Party Conversation Exploration using Topic-Space Views 

    El-Assady, Mennatallah; Gold, Valentin; Acevedo, Carmela; Collins, Christopher; Keim, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    We introduce a novel visual analytics approach to analyze speaker behavior patterns in multi-party conversations. We propose Topic-Space Views to track the movement of speakers across the thematic landscape of a conversation. ...

  • TextDNA: Visualizing Word Usage with Configurable Colorfields 

    Szafir, Danielle Albers; Stuffer, Deidre; Sohail, Yusef; Gleicher, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Patterns of words used in different text collections can characterize interesting properties of a corpus. However, these patterns are challenging to explore as they often involve complex relationships across many words and ...

  • Retailoring Box Splines to Lattices for Highly Isotropic Volume Representations 

    Csébfalvi, Balázs; Rácz, Gergely (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    3D box splines are defined by convolving a 1D box function with itself along different directions. In volume visualization, box splines are mainly used as reconstruction kernels that are easy to adapt to various sampling ...

  • Decoupled Shading for Real-time Heterogeneous Volume Illumination 

    Zhang, Yubo; Ma, Kwan-Liu (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Existing real-time volume rendering techniques which support global illumination are limited in modeling distinct realistic appearances for classified volume data, which is a desired capability in many fields of study for ...

  • Similarity Voting based Viewpoint Selection for Volumes 

    Tao, Yubo; Wang, Qirui; Chen, Wei; Wu, Yingcai; Lin, Hai (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Previous viewpoint selection methods in volume visualization are generally based on some deterministic measures of viewpoint quality. However, they may not express the familiarity and aesthetic sense of users for features ...

  • MCFTLE: Monte Carlo Rendering of Finite-Time Lyapunov Exponent Fields 

    Günther, Tobias; Kuhn, Alexander; Theisel, Holger (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Traditionally, Lagrangian fields such as finite-time Lyapunov exponents (FTLE) are precomputed on a discrete grid and are ray casted afterwards. This, however, introduces both grid discretization errors and sampling errors ...

  • Source Inversion by Forward Integration in Inertial Flows 

    Günther, Tobias; Theisel, Holger (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Inertial particles are finite-sized objects traveling with a certain velocity that differs from the underlying carrying flow, i.e., they are mass-dependent and subject to inertia. Their backward integration is in practice ...

  • Critical Points of Gaussian-Distributed Scalar Fields on Simplicial Grids 

    Liebmann, Tom; Scheuermann, Gerik (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Simulations and measurements often result in scalar fields with uncertainty due to errors or output sensitivity estimates. Methods for analyzing topological features of such fields usually are not capable of handling all ...

  • Semi-automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta 

    Meuschke, Monique; Köhler, Benjamin; Preim, Uta; Preim, Bernhard; Lawonn, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    We present an Aortic Vortex Classification (AVOCLA) that allows to classify vortices in the human aorta semi-automatically. Current medical studies assume a strong relation between cardiovascular diseases and blood flow ...

  • PhysioEx: Visual Analysis of Physiological Event Streams 

    Kamaleswaran, Rishikesan; Collins, Christopher; James, Andrew; McGregor, Carolyn (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    In this work, we introduce a novel visualization technique, the Temporal Intensity Map, which visually integrates data values over time to reveal the frequency, duration, and timing of significant features in streaming ...

  • There is More to Streamgraphs than Movies: Better Aesthetics via Ordering and Lassoing 

    Bartolomeo, Marco Di; Hu, Yifan (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Streamgraphs were popularized in 2008 when The New York Times used them to visualize box office revenues for 7500 movies over 21 years. The aesthetics of a streamgraph is affected by three components: the ordering of the ...

  • Time-Series Plots Integrated in Parallel-Coordinates Displays 

    Gruendl, Henning; Riehmann, Patrick; Pausch, Yves; Froehlich, Bernd (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    We present a natural extension of two-dimensional parallel-coordinates plots for revealing relationships in time-dependent multi-attribute data by building on the idea that time can be considered as the third dimension. A ...

  • Dynamic Change Arcs to Explore Model Forecasts 

    St. Jean, Carmen; Ware, Colin; Gamble, Robert (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    In many planning applications, a computational model is used to make predictions about the effects of management or engineering decisions. To understand the implications of alternative scenarios, a user typically adjusts ...

  • Visual Analysis of Governing Topological Structures in Excitable Network Dynamics 

    Ngo, Quynh Quang; Hütt, Marc-Thorsten; Linsen, Lars (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    To understand how topology shapes the dynamics in excitable networks is one of the fundamental problems in network science when applied to computational systems biology and neuroscience. Recent advances in the field ...

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