• Canis: A High-Level Language for Data-Driven Chart Animations 

  Ge, Tong; Zhao, Yue; Lee, Bongshin; Ren, Donghao; Chen, Baoquan; Wang, Yunhai (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  In this paper, we introduce Canis, a high-level domain-specific language that enables declarative specifications of data-driven chart animations. By leveraging data-enriched SVG charts, its grammar of animations can be ...

• Infomages: Embedding Data into Thematic Images 

  Coelho, Darius; Mueller, Klaus (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Recent studies have indicated that visually embellished charts such as infographics have the ability to engage viewers and positively affect memorability. Fueled by these findings, researchers have proposed a variety of ...

• Sublinear Time Force Computation for Big Complex Network Visualization 

  Meidiana, Amyra; Hong, Seok-Hee; Torkel, Marnijati; Cai, Shijun; Eades, Peter (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  In this paper, we present a new framework for sublinear time force computation for visualization of big complex graphs. Our algorithm is based on the sampling of vertices for computing repulsion forces and edge sparsification ...

• v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions 

  Blumenschein, Michael; Debbeler, Luka J.; Lages, Nadine C.; Renner, Britta; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In particular, comparing distributions entails numerous tasks, ranging from identifying ...

• Sunspot Plots: Model-based Structure Enhancement for Dense Scatter Plots 

  Trautner, Thomas; Bolte, Fabian; Stoppel, Sergej; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Scatter plots are a powerful and well-established technique for visualizing the relationships between two variables as a collection of discrete points. However, especially when dealing with large and dense data, scatter ...

• Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates 

  Blumenschein, Michael; Zhang, Xuan; Pomerenke, David; Keim, Daniel A.; Fuchs, Johannes (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  The ability to perceive patterns in parallel coordinates plots (PCPs) is heavily influenced by the ordering of the dimensions. While the community has proposed over 30 automatic ordering strategies, we still lack empirical ...

• SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data-Driven Shot Designs 

  Li, Quan; Liu, Yingjie J.; Chen, Li; Yang, Xingchao C.; Peng, Yi; Yuan, Xiaoru R.; Wijerathne, Maddegedara Lalith Lakshman (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Despite the significance of tracking human mobility dynamics in a large-scale earthquake evacuation for an effective first response and disaster relief, the general understanding of evacuation behaviors remains limited. ...

• SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics 

  Xia, Meng; Xu, Min; Lin, Chuan-en; Cheng, Ta Ying; Qu, Huamin; Ma, Xiaojuan (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Problem-solving dynamics refers to the process of solving a series of problems over time, from which a student's cognitive skills and non-cognitive traits and behaviors can be inferred. For example, we can derive a student's ...

• WarehouseVis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts 

  Li, Quan; Liu, Qiangqiang; Tang, Chunfeng; Li, Zhiwei; Wei, Shuaichao; Peng, Xianrui; Zheng, Minghua; Chen, Tianjian; Yang, Qiang (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Selecting a proper warehouse location serving to satisfy the demands of the goods from a certain business area is important to a successful retail business. However, the large solution space, uncertain traffic conditions, ...

• Resolving Conflicting Insights in Asynchronous Collaborative Visual Analysis 

  Li, Jianping Kelvin; Xu, Shenyu; Ye, Yecong (Chris); Ma, Kwan-Liu (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Analyzing large and complex datasets for critical decision making can benefit from a collective effort involving a team of analysts. However, insights and findings from different analysts are often incomplete, disconnected, ...

• Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation 

  Saffo, David; Leventidis, Aristotelis; Jain, Twinkle; Borkin, Michelle A.; Dunne, Cody (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation. Information visualizations already exist for exploring ...

• GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map 

  Ma, Chao; Zhao, Ye; AL-Dohuki, Shamal; Yang, Jing; Ye, Xinyue; Kamw, Farah; Amiruzzaman, Md (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Data containing geospatial semantics, such as geotagged tweets, travel blogs, and crime reports, associates natural language texts with geographical locations. This paper presents a lens-based visual interaction technique, ...

• LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization 

  Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Visualization of large vector line data is a core task in geographic and cartographic systems. Vector maps are often displayed at different cartographic generalization levels, traditionally by using several discrete ...

• Feature Driven Combination of Animated Vector Field Visualizations 

  Lobo, María Jesús; Telea, Alexandru; Hurter, Christophe (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Animated visualizations are one of the methods for finding and understanding complex structures of time-dependent vector fields. Many visualization designs can be used to this end, such as streamlines, vector glyphs, and ...

• A Globally Conforming Lattice Structure for 2D Stress Tensor Visualization 

  Wang, Junpeng; Wu, Jun; Westermann, Rüdiger (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  We present a visualization technique for 2D stress tensor fields based on the construction of a globally conforming lattice. Conformity ensures that the lattice edges follow the principal stress directions and the aspect ...

• PAVED: Pareto Front Visualization for Engineering Design 

  Cibulski, Lena; Mitterhofer, Hubert; May, Thorsten; Kohlhammer, Jörn (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of ...

• Set Streams: Visual Exploration of Dynamic Overlapping Sets 

  Agarwal, Shivam; Beck, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  In many applications, membership of set elements changes over time. Since each element can be present in multiple sets, the sets also overlap. As a result, it becomes challenging to visualize the temporal change in set ...

• Quantitative Comparison of Time-Dependent Treemaps 

  Vernier, Eduardo; Sondag, Max; Comba, João; Speckmann, Bettina; Telea, Alexandru; Verbeek, Kevin (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Rectangular treemaps are often the method of choice to visualize large hierarchical datasets. Nowadays such datasets are available over time, hence there is a need for (a) treemaps that can handle time-dependent data, and ...

• Augmenting Node-Link Diagrams with Topographic Attribute Maps 

  Preiner, Reinhold; Schmidt, Johanna; Krösl, Katharina; Schreck, Tobias; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  We propose a novel visualization technique for graphs that are attributed with scalar data. In many scenarios, these attributes (e.g., birth date in a family network) provide ambient context information for the graph ...

• Metro Maps on Octilinear Grid Graphs 

  Bast, Hannah; Brosi, Patrick; Storandt, Sabine (The Eurographics Association and John Wiley & Sons Ltd., 2020)

  Schematic transit maps (often called "metro maps" in the literature) are important to produce comprehensible visualizations of complex public transit networks. In this work, we investigate the problem of automatically ...

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