Now showing items 1-20 of 49

    • 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, ...
    • Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones 

      Eichmann, Philipp; Edge, Darren; Evans, Nathan; Lee, Bongshin; Brehmer, Matthew; White, Christopher (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      People are becoming increasingly sophisticated in their ability to navigate information spaces using search, hyperlinks, and visualization. But, mobile phones preclude the use of multiple coordinated views that have proven ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Short-Contact Touch-Manipulation of Scatterplot Matrices on Wall Displays 

      Riehmann, Patrick; Molina León, Gabriela; Reibert, Joshua; Echtler, Florian; Froehlich, Bernd (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      This paper presents a short-contact multitouch vocabulary for interacting with scatterplot matrices (SPLOMs) on wall-sized displays. Fling-based gestures overcome central interaction challenges of such large displays by ...
    • 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 ...
    • 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 ...
    • CPU Ray Tracing of Tree-Based Adaptive Mesh Refinement Data 

      Wang, Feng; Marshak, Nathan; Usher, Will; Burstedde, Carsten; Knoll, Aaron; Heister, Timo; Johnson, Chris R. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Adaptive mesh refinement (AMR) techniques allow for representing a simulation's computation domain in an adaptive fashion. Although these techniques have found widespread adoption in high-performance computing simulations, ...
    • 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, ...
    • Understanding the Design Space and Authoring Paradigms for Animated Data Graphics 

      Thompson, John R.; Liu, Zhicheng; Li, Wilmot; Stasko, John (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Creating expressive animated data graphics often requires designers to possess highly specialized programming skills. Alternatively, the use of direct manipulation tools is popular among animation designers, but these tools ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Phase Space Projection of Dynamical Systems 

      Bartolovic, Nemanja; Gross, Markus; Günther, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dynamical systems are commonly used to describe the state of time-dependent systems. In many engineering and control problems, the state space is high-dimensional making it difficult to analyze and visualize the behavior ...
    • 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 ...
    • 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, ...
    • 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 ...