Now showing items 1-20 of 49

    • Hairy Slices II: Depth Cues for Visualizing 3D Streamlines Through Cutting Planes 

      Stevens, Andrew H.; Ware, Colin; Butkiewicz, Thomas; Rogers, David; Abram, Greg (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Visualizing 3D vector fields is challenging because of occlusion problems and the difficulty of providing depth cues that adequately support the perception of direction of flow lines in 3D space. One of the depth cues that ...
    • 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 ...
    • Fiber Surfaces for many Variables 

      Blecha, Christian; Raith, Felix; Präger, Arne Jonas; Nagel, Thomas; Kolditz, Olaf; Maßmann, Jobst; Röber, Niklas; Böttinger, Michael; Scheuermann, Gerik (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Scientific visualization deals with increasingly complex data consisting of multiple fields. Typical disciplines generating multivariate data are fluid dynamics, structural mechanics, geology, bioengineering, and climate ...
    • 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. ...
    • 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 ...
    • 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 ...
    • VA-TRAC: Geospatial Trajectory Analysis for Monitoring, Identification, and Verification in Fishing Vessel Operations 

      Storm-Furru, Syver; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In order to ensure sustainability, fishing operations are governed by many rules and regulations that restrict the use of certain techniques and equipment, specify the species and size of fish that can be harvested, and ...
    • Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks 

      Bäuerle, Alex; Neumann, Heiko; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Training data plays an essential role in modern applications of machine learning. However, gathering labeled training data is time-consuming. Therefore, labeling is often outsourced to less experienced users, or completely ...
    • 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 ...
    • EuroVis 2020 CGF 39-3: Frontmatter 

      Gleicher, Michael; Viola, Ivan; Landesberger von Antburg, Tatiana (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    • DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning 

      Jaunet, Theo; Vuillemot, Romain; Wolf, Christian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent ...
    • Structure and Empathy in Visual Data Storytelling: Evaluating their Influence on Attitude 

      Liem, Johannes; Perin, Charles; Wood, Jo (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In the visualization community, it is often assumed that visual data storytelling increases memorability and engagement, making it more effective at communicating information. However, many assumptions about the efficacy ...
    • Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environments 

      Aurisano, Jillian; Kumar, Abhinav; Alsaiari, Abeer; Eugenio, Barbara Di; Johnson, Andrew E. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      This paper describes results from an observational, exploratory study of visual data exploration in a large, multi-view, flexible canvas environment. Participants were provided with a set of data exploration sub-tasks ...
    • Reading Traces: Scalable Exploration in Elastic Visualizations of Cultural Heritage Data 

      Bludau, Mark-Jan; Brüggemann, Viktoria; Busch, Anna; Dörk, Marian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Through a design study, we develop an approach to data exploration that utilizes elastic visualizations designed to support varying degrees of detail and abstraction. Examining the notions of scalability and elasticity in ...
    • 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 ...
    • 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 ...
    • Ocupado: Visualizing Location-Based Counts Over Time Across Buildings 

      Oppermann, Michael; Munzner, Tamara (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Understanding how spaces in buildings are being used is vital for optimizing space utilization, for improving resource allocation, and for the design of new facilities. We present a multi-year design study that resulted ...
    • PEAX: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning 

      Lekschas, Fritz; Peterson, Brant; Haehn, Daniel; Ma, Eric; Gehlenborg, Nils; Pfister, Hanspeter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present PEAX, a novel feature-based technique for interactive visual pattern search in sequential data, like time series or data mapped to a genome sequence. Visually searching for patterns by similarity is often ...
    • 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 ...
    • 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 ...