EuroVis 2019 - 21th EG/VGTC Conference on Visualization
Porto, Portugal 3-7 June 2019


Best Paper Award Nominees
V-Awake: A Visual Analytics Approach for Correcting Sleep Predictions from Deep Learning Models
Humberto Simon Garcia Caballero, Michel A. Westenberg, Binyam Gebre, and Jarke J. van Wijk
Optimizing Stepwise Animation in Dynamic Set Diagrams
Kazuyo Mizuno, Hsiang-Yun Wu, Shigeo Takahashi, and Takeo Igarashi
Interactive Visualization of Flood and Heavy Rain Simulations
Daniel Cornel, Andreas Buttinger-Kreuzhuber, Artem Konev, Zsolt Horváth, Michael Wimmer, Raimund Heidrich, and Jürgen Waser
Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis
Alvitta Ottley, Roman Garnett, and Ran Wan
A Framework for GPU-accelerated Exploration of Massive Time-varying Rectilinear Scalar Volumes
Fabio Marton, Marco Agus, and Enrico Gobbetti
Analysis Applications and Systems
Latent Space Cartography: Visual Analysis of Vector Space Embeddings
Yang Liu, Eunice Jun, Qisheng Li, and Jeffrey Heer
Multiple Views: Different Meanings and Collocated Words
Jonathan C. Roberts, Hayder Mahdi Al-maneea, Peter W. S. Butcher, Robert Lew, Geraint Paul Rees, Nirwan Sharma, and Ana Frankenberg-Garcia
DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions
Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, and Suranjan De
CV3: Visual Exploration, Assessment, and Comparison of CVs
Velitchko Andreev Filipov, Alessio Arleo, Paolo Federico, and Silvia Miksch
VIAN: A Visual Annotation Tool for Film Analysis
Gaudenz Halter, Rafael Ballester-Ripoll, Barbara Flueckiger, and Renato Pajarola
Analysis and Decision Making
An Ontological Framework for Supporting the Design and Evaluation of Visual Analytics Systems
Min Chen and David S. Ebert
Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau
Leilani Battle and Jeffrey Heer
Investigating Effects of Visual Anchors on Decision-Making about Misinformation
Ryan Wesslen, Sashank Santhanam, Alireza Karduni, Isaac Cho, Samira Shaikh, and Wenwen Dou
An Exploratory User Study of Visual Causality Analysis
Chi-Hsien Eric Yen, Aditya Parameswaran, and Wai-Tat Fu
A User-based Visual Analytics Workflow for Exploratory Model Analysis
Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John R. Thompson, Bahador Saket, Abigail Mosca, John Stasko, Alex Endert, Michael Gleicher, and Remco Chang
Analysis Techniques
Toward Understanding Representation Methods in Visualization Recommendations through Scatterplot Construction Tasks
Sehi L'Yi, Youli Chang, DongHwa Shin, and Jinwook Seo
Oui! Outlier Interpretation on Multi-dimensional Data via Visual Analytics
Xun Zhao, Weiwei Cui, Yanhong Wu, Haidong Zhang, Huamin Qu, and Dongmei Zhang
ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns
Mostafa M. Abbas, Michaël Aupetit, Michael Sedlmair, and Halima Bensmail
SurgeryCuts: Embedding Additional Information in Maps without Occluding Features
Marco Angelini, Juri Buchmüller, Daniel A. Keim, Philipp Meschenmoser, and Giuseppe Santucci
Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization
Jinho Choi, SangHun Jung, Deok Gun Park, Jaegul Choo, and Niklas Elmqvist
Vectors and Features
The Dependent Vectors Operator
Lutz Hofmann and Filip Sadlo
A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science
Bernhard Fröhler, Tim Elberfeld, Torsten Möller, Hans-Christian Hege, Johannes Weissenböck, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, and Christoph Heinzl
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks
Byungsoo Kim and Tobias Günther
An Interactive Visualization System for Large Sets of Phase Space Trajectories
Tyson A. Neuroth, Franz Sauer, and Kwan-Liu Ma
Higher-Order Data Types
Visualization of Equivalence in 2D Bivariate Fields
Boyan Zheng, Bastian Rieck, Heike Leitte, and Filip Sadlo
Towards Glyphs for Uncertain Symmetric Second-Order Tensors
Tim Gerrits, Christian Rössl, and Holger Theisel
Robust Extraction and Simplification of 2D Symmetric Tensor Field Topology
Jochen Jankowai, Bei Wang, and Ingrid Hotz
Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study
Joachim Giesen, Julien Klaus, Sören Laue, and Ferdinand Schreck
Examining Implicit Discretization in Spectral Schemes
P. Samuel Quinan, Lace M. K. Padilla, Sarah H. Creem-Regehr, and Miriah Meyer
Time Series
Bridging the Data Analysis Communication Gap Utilizing a Three-Component Summarized Line Graph
Calvin Yau, Morteza Karimzadeh, Chittayong Surakitbanharn, Niklas Elmqvist, and David S. Ebert
ChronoCorrelator: Enriching Events with Time Series
Martijn A.M.M. van Dortmont, Stef van den Elzen, and Jarke J. van Wijk
Visual-Interactive Preprocessing of Multivariate Time Series Data
Jürgen Bernard, Marco Hutter, Heiko Reinemuth, Hendrik Pfeifer, Christian Bors, and Jörn Kohlhammer
Biomedical Applications and Ray Tracing
A Geometric Optimization Approach for the Detection and Segmentation of Multiple Aneurysms
Kai Lawonn, Monique Meuschke, Ralph Wickenhöfer, Bernhard Preim, and Klaus Hildebrandt
Interactive Volumetric Visual Analysis of Glycogen-derived Energy Absorption in Nanometric Brain Structures
Marco Agus, Corrado Calì, Ali K. Al-Awami, Enrico Gobbetti, Pierre J. Magistretti, and Markus Hadwiger
Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization
Jan Byška, Thomas Trautner, Sérgio M. Marques, Jiří Damborský, Barbora Kozlíková, and Manuela Waldner
Scalable Ray Tracing Using the Distributed FrameBuffer
Will Usher, Ingo Wald, Jefferson Amstutz, Johannes Günther, Carson Brownlee, and Valerio Pascucci
Ray Tracing Generalized Tube Primitives: Method and Applications
Mengjiao Han, Ingo Wald, Will Usher, Qi Wu, Feng Wang, Valerio Pascucci, Charles D. Hansen, and Chris R. Johnson
Spatial Data Applications
Visual Analysis of Charge Flow Networks for Complex Morphologies
Sathish Kottravel, Martin Falk, Talha Bin Masood, Mathieu Linares, and Ingrid Hotz
IGM-Vis: Analyzing Intergalactic and Circumgalactic Medium Absorption Using Quasar Sightlines in a Cosmic Web Context
Joseph N. Burchett, David Abramov, Jasmine Tan Otto, Cassia Artanegara, Jason Xavier Prochaska, and Angus G. Forbes
Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering
Christopher P. Kappe, Michael Böttinger, and Heike Leitte
Evaluating Image Quality Measures to Assess the Impact of Lossy Data Compression Applied to Climate Simulation Data
Allison H. Baker, Dorit M. Hammerling, and Terece L. Turton
Interaction Techniques for Scalability
Kyrix: Interactive Pan/Zoom Visualizations at Scale
Wenbo Tao, Xiaoyu Liu, Yedi Wang, Leilani Battle, Çagatay Demiralp, Remco Chang, and Michael Stonebraker
Designing Animated Transitions to Convey Aggregate Operations
Younghoon Kim, Michael Correll, and Jeffrey Heer
Hybrid Touch/Tangible Spatial 3D Data Selection
Lonni Besançon, Mickael Sereno, Lingyun Yu, Mehdi Ammi, and Tobias Isenberg
Focus+Context Exploration of Hierarchical Embeddings
Thomas Höllt, Anna Vilanova, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, and Helwig Hauser
Geospatial and Social Data
Route-Aware Edge Bundling for Visualizing Origin-Destination Trails in Urban Traffic
Wei Zeng, Qiaomu Shen, Yuzhe Jiang, and Alexandru Telea
Bird's-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Data
Robert Krueger, Qi Han, Nikolay Ivanov, Sanae Mahtal, Dennis Thom, Hanspeter Pfister, and Thomas Ertl
Topic Tomographies (TopTom): a Visual Approach to Distill Information From Media Streams
Beatrice Gobbo, Duilio Balsamo, Michele Mauri, Paolo Bajardi, André Panisson, and Paolo Ciuccarelli
Segmentifier: Interactive Refinement of Clickstream Data
Kimberly Dextras-Romagnino and Tamara Munzner
Interaction Techniques
Augmenting Tactile 3D Data Navigation With Pressure Sensing
Xiyao Wang, Lonni Besançon, Mehdi Ammi, and Tobias Isenberg
InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics
Andreas Mathisen, Tom Horak, Clemens Nylandsted Klokmose, Kaj Grønbæk, and Niklas Elmqvist
Investigating the Manual View Specification and Visualization by Demonstration Paradigms for Visualization Construction
Bahador Saket and Alex Endert
Linking and Layout: Exploring the Integration of Text and Visualization in Storytelling
Qiyu Zhi, Alvitta Ottley, and Ronald Metoyer
Capture & Analysis of Active Reading Behaviors for Interactive Articles on the Web
Matthew Conlen, Alex Kale, and Jeffrey Heer
Graphs and Networks
netflower: Dynamic Network Visualization for Data Journalists
Christina Stoiber, Alexander Rind, Florian Grassinger, Robert Gutounig, Eva Goldgruber, Michael Sedlmair, Štefan Emrich, and Wolfgang Aigner
Efficient Optimal Overlap Removal: Algorithms and Experiments
Wouter Meulemans
A Stable Graph Layout Algorithm for Processes
Robin J. P. Mennens, Roeland Scheepens, and Michel A. Westenberg
A Random Sampling O(n) Force-calculation Algorithm for Graph Layouts
Robert Gove

Recent Submissions

  • A Random Sampling O(n) Force-calculation Algorithm for Graph Layouts 

    Gove, Robert (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    This paper proposes a linear-time repulsive-force-calculation algorithm with sub-linear auxiliary space requirements, achieving an asymptotic improvement over the Barnes-Hut and Fast Multipole Method force-calculation ...
  • A Stable Graph Layout Algorithm for Processes 

    Mennens, Robin; Scheepens, Roeland; Westenberg, Michel (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Process mining enables organizations to analyze data about their (business) processes. Visualization is key to gaining insight into these processes and the associated data. Process visualization requires a high-quality ...
  • Efficient Optimal Overlap Removal: Algorithms and Experiments 

    Meulemans, Wouter (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Motivated by visualizing spatial data using proportional symbols, we study the following problem: given a set of overlapping squares of varying sizes, minimally displace the squares as to remove the overlap while maintaining ...
  • netflower: Dynamic Network Visualization for Data Journalists 

    Stoiber, Christina; Rind, Alexander; Grassinger, Florian; Gutounig, Robert; Goldgruber, Eva; Sedlmair, Michael; Emrich, Štefan; Aigner, Wolfgang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four-year design study with data journalists. The main result is netflower, a visual ...
  • Capture & Analysis of Active Reading Behaviors for Interactive Articles on the Web 

    Conlen, Matthew; Kale, Alex; Heer, Jeffrey (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Journalists, educators, and technical writers are increasingly publishing interactive content on the web. However, popular analytics tools provide only coarse information about how readers interact with individual pages, ...
  • Linking and Layout: Exploring the Integration of Text and Visualization in Storytelling 

    Zhi, Qiyu; Ottley, Alvitta; Metoyer, Ronald (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Modern web technologies are enabling authors to create various forms of text visualization integration for storytelling. This integration may shape the stories' flow and thereby affect the reading experience. In this paper, ...
  • Investigating the Manual View Specification and Visualization by Demonstration Paradigms for Visualization Construction 

    Saket, Bahador; Endert, Alex (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Abstract Interactivity plays an important role in data visualization. Therefore, understanding how people create visualizations given different interaction paradigms provides empirical evidence to inform interaction design. ...
  • InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics 

    Mathisen, Andreas; Horak, Tom; Klokmose, Clemens Nylandsted; Grønbæk, Kaj; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Analyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators ...
  • Augmenting Tactile 3D Data Navigation With Pressure Sensing 

    Wang, Xiyao; Besançon, Lonni; Ammi, Mehdi; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    We present a pressure-augmented tactile 3D data navigation technique, specifically designed for small devices, motivated by the need to support the interactive visualization beyond traditional workstations. While touch ...
  • Segmentifier: Interactive Refinement of Clickstream Data 

    Dextras-Romagnino, Kimberly; Munzner, Tamara (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Clickstream data has the potential to provide insights into e-commerce consumer behavior, but previous techniques fall short of handling the scale and complexity of real-world datasets because they require relatively clean ...
  • Topic Tomographies (TopTom): a Visual Approach to Distill Information From Media Streams 

    Gobbo, Beatrice; Balsamo, Duilio; Mauri, Michele; Bajardi, Paolo; Panisson, André; CIUCCARELLI, PAOLO (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    In this paper we present TopTom, a digital platform whose goal is to provide analytical and visual solutions for the exploration of a dynamic corpus of user-generated messages and media articles, with the aim of i) distilling ...
  • Bird's-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Data 

    Krueger, Robert; Han, Qi; Ivanov, Nikolay; Mahtal, Sanae; Thom, Dennis; Pfister, Hanspeter; Ertl, Thomas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    The analysis of behavioral city dynamics, such as temporal patterns of visited places and citizens' mobility routines, is an essential task for urban and transportation planning. Social media applications such as Foursquare ...
  • Route-Aware Edge Bundling for Visualizing Origin-Destination Trails in Urban Traffic 

    Zeng, Wei; Shen, Qiaomu; Jiang, Yuzhe; Telea, Alexandru (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Origin-destination (OD) trails describe movements across space. Typical visualizations thereof use either straight lines or plot the actual trajectories. To reduce clutter inherent to visualizing large OD datasets, bundling ...
  • Focus+Context Exploration of Hierarchical Embeddings 

    Höllt, Thomas; Vilanova, Anna; Pezzotti, Nicola; Lelieveldt, Boudewijn P. F.; Hauser, Helwig (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Hierarchical embeddings, such as HSNE, address critical visual and computational scalability issues of traditional techniques for dimensionality reduction. The improved scalability comes at the cost of the need for increased ...
  • Hybrid Touch/Tangible Spatial 3D Data Selection 

    Besançon, Lonni; Sereno, Mickael; Yu, Lingyun; Ammi, Mehdi; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    We discuss spatial selection techniques for three-dimensional datasets. Such 3D spatial selection is fundamental to exploratory data analysis. While 2D selection is efficient for datasets with explicit shapes and structures, ...
  • Designing Animated Transitions to Convey Aggregate Operations 

    Kim, Younghoon; Correll, Michael; Heer, Jeffrey (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Data can be aggregated in many ways before being visualized in charts, profoundly affecting what a chart conveys. Despite this importance, the type of aggregation is often communicated only via axis titles. In this paper, ...
  • Kyrix: Interactive Pan/Zoom Visualizations at Scale 

    Tao, Wenbo; Liu, Xiaoyu; Wang, Yedi; Battle, Leilani; Demiralp, Çagatay; Chang, Remco; Stonebraker, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Pan and zoom are basic yet powerful interaction techniques for exploring large datasets. However, existing zoomable UI toolkits such as Pad++ and ZVTM do not provide the backend database support and data-driven primitives ...
  • Evaluating Image Quality Measures to Assess the Impact of Lossy Data Compression Applied to Climate Simulation Data 

    Baker, Allison H; Hammerling, Dorit M.; Turton, Terece L. (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    Applying lossy data compression to climate model output is an attractive means of reducing the enormous volumes of data generated by climate models. However, because lossy data compression does not exactly preserve the ...
  • Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering 

    Kappe, Christopher; Böttinger, Michael; Leitte, Heike (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    In order to gain probabilistic results, ensemble simulation techniques are increasingly applied in the weather and climate sciences (as well as in various other scientific disciplines). In many cases, however, only mean ...
  • IGM-Vis: Analyzing Intergalactic and Circumgalactic Medium Absorption Using Quasar Sightlines in a Cosmic Web Context 

    Burchett, Joseph N.; Abramov, David; Otto, Jasmine Tan; Artanegara, Cassia; Prochaska, Jason Xavier; Forbes, Angus G. (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    We introduce IGM-Vis, a novel astrophysics visualization and data analysis application for investigating galaxies and the gas that surrounds them in context with their larger scale environment, the Cosmic Web. Environment ...

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