Now showing items 6-25 of 45

    • ClusterSets: Optimizing Planar Clusters in Categorical Point Data 

      Geiger, Jakob; Cornelsen, Sabine; Haunert, Jan-Henrik; Kindermann, Philipp; Mchedlidze, Tamara; Nöllenburg, Martin; Okamoto, Yoshio; Wolff, Alexander (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      In geographic data analysis, one is often given point data of different categories (such as facilities of a university categorized by department). Drawing upon recent research on set visualization, we want to visualize ...
    • Color Nameability Predicts Inference Accuracy in Spatial Visualizations 

      Reda, Khairi; Salvi, Amey A.; Gray, Jack; Papka, Michael E. (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Color encoding is foundational to visualizing quantitative data. Guidelines for colormap design have traditionally emphasized perceptual principles, such as order and uniformity. However, colors also evoke cognitive and ...
    • CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling 

      Fischer, Maximilian T.; Seebacher, Daniel; Sevastjanova, Rita; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Communication consists of both meta-information as well as content. Currently, the automated analysis of such data often focuses either on the network aspects via social network analysis or on the content, utilizing methods ...
    • Compressive Neural Representations of Volumetric Scalar Fields 

      Lu, Yuzhe; Jiang, Kairong; Levine, Joshua A.; Berger, Matthew (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present an approach for compressing volumetric scalar fields using implicit neural representations. Our approach represents a scalar field as a learned function, wherein a neural network maps a point in the domain to ...
    • Daisen: A Framework for Visualizing Detailed GPU Execution 

      Sun, Yifan; Zhang, Yixuan; Mosallaei, Ali; Shah, Michael D.; Dunne, Cody; Kaeli, David (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Graphics Processing Units (GPUs) have been widely used to accelerate artificial intelligence, physics simulation, medical imaging, and information visualization applications. To improve GPU performance, GPU hardware designers ...
    • A Deeper Understanding of Visualization-Text Interplay in Geographic Data-driven Stories 

      Latif, Shahid; Chen, Siming; Beck, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Data-driven stories comprise of visualizations and a textual narrative. The two representations coexist and complement each other. Although existing research has explored the design strategies and structure of such stories, ...
    • Design Patterns and Trade-Offs in Responsive Visualization for Communication 

      Kim, Hyeok; Moritz, Dominik; Hullman, Jessica (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Increased access to mobile devices motivates the need to design communicative visualizations that are responsive to varying screen sizes. However, relatively little design guidance or tooling is currently available to ...
    • Design Space of Origin-Destination Data Visualization 

      Tennekes, Martijn; Chen, Min (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Visualization is an essential tool for observing and analyzing origin-destination (OD) data, which encodes flows between geographic locations, e.g., in applications concerning commuting, migration, and transport of goods. ...
    • EuroVis 2021 CGF 40-3: Frontmatter 

      Borgo, Rita; Marai, G. Elisabeta; Landesberger, Tatiana von (The Eurographics Association and John Wiley & Sons Ltd., 2021)
    • Exploring Multi-dimensional Data via Subset Embedding 

      Xie, Peng; Tao, Wenyuan; Li, Jie; Huang, Wentao; Chen, Siming (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Multi-dimensional data exploration is a classic research topic in visualization. Most existing approaches are designed for identifying record patterns in dimensional space or subspace. In this paper, we propose a visual ...
    • Guided Stable Dynamic Projections 

      Vernier, Eduardo Faccin; Comba, João L. D.; Telea, Alexandru C. (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Projections aim to convey the relationships and similarity of high-dimensional data in a low-dimensional representation. Most such techniques are designed for static data. When used for time-dependent data, they usually ...
    • Hornero: Thunderstorms Characterization using Visual Analytics 

      Diehl, Alexandra; Pelorosso, Rodrigo; Ruiz, Juan; Pajarola, Renato; Gröller, M. Eduard; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Analyzing the evolution of thunderstorms is critical in determining the potential for the development of severe weather events. Existing visualization systems for short-term weather forecasting (nowcasting) allow for basic ...
    • Implicit Modeling of Patient-Specific Aortic Dissections with Elliptic Fourier Descriptors 

      Mistelbauer, Gabriel; Rössl, Christian; Bäumler, Kathrin; Preim, Bernhard; Fleischmann, Dominik (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Aortic dissection is a life-threatening vascular disease characterized by abrupt formation of a new flow channel (false lumen) within the aortic wall. Survivors of the acute phase remain at high risk for late complications, ...
    • iQUANT: Interactive Quantitative Investment Using Sparse Regression Factors 

      Yue, Xuanwu; Gu, Qiao; Wang, Deyun; Qu, Huamin; Wang, Yong (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      The model-based investing using financial factors is evolving as a principal method for quantitative investment. The main challenge lies in the selection of effective factors towards excess market returns. Existing approaches, ...
    • Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement 

      Sperrle, Fabian; Schäfer, Hanna; Keim, Daniel; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Mixed-initiative visual analytics systems support collaborative human-machine decision-making processes. However, many multiobjective optimization tasks, such as topic model refinement, are highly subjective and ...
    • Leveraging Topological Events in Tracking Graphs for Understanding Particle Diffusion 

      McDonald, Torin; Shrestha, Rebika; Yi, Xiyu; Bhatia, Harsh; Chen, De; Goswami, Debanjan; Pascucci, Valerio; Turbyville, Thomas; Bremer, Peer-Timo (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Single particle tracking (SPT) of fluorescent molecules provides significant insights into the diffusion and relative motion of tagged proteins and other structures of interest in biology. However, despite the latest ...
    • Line Weaver: Importance-Driven Order Enhanced Rendering of Dense Line Charts 

      Trautner, Thomas; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Line charts are an effective and widely used technique for visualizing series of ordered two-dimensional data points. The relationship between consecutive points is indicated by connecting line segments, revealing potential ...
    • Local Extraction of 3D Time-Dependent Vector Field Topology 

      Hofmann, Lutz; Sadlo, Filip (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present an approach to local extraction of 3D time-dependent vector field topology. In this concept, Lagrangian coherent structures, which represent the separating manifolds in time-dependent transport, correspond to ...
    • A Novel Approach for Exploring Annotated Data With Interactive Lenses 

      Bettio, Fabio; Ahsan, Moonisa; Marton, Fabio; Gobbetti, Enrico (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We introduce a novel approach for assisting users in exploring 2D data representations with an interactive lens. Focus-andcontext exploration is supported by translating user actions to the joint adjustments in camera and ...
    • Optimal Axes for Data Value Estimation in Star Coordinates and Radial Axes Plots 

      Rubio-Sánchez, Manuel; Lehmann, Dirk J.; Sanchez, Alberto; Rojo-Álvarez, Jose Luis (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Radial axes plots are projection methods that represent high-dimensional data samples as points on a two-dimensional plane. These techniques define mappings through a set of axis vectors, each associated with a data variable, ...