Now showing items 1-20 of 59

    • Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering 

      Kappe, Christopher P.; 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 ...
    • Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization 

      Byška, Jan; Trautner, Thomas; Marques, Sérgio M.; Damborský, Jiří; Kozlíková, Barbora; Waldner, Manuela (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Analyzing molecular dynamics (MD) simulations is a key aspect to understand protein dynamics and function. With increasing computational power, it is now possible to generate very long and complex simulations, which are ...
    • 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 ...
    • 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 ...
    • Bridging the Data Analysis Communication Gap Utilizing a Three-Component Summarized Line Graph 

      Yau, Calvin; Karimzadeh, Morteza; Surakitbanharn, Chittayong; Elmqvist, Niklas; Ebert, David S. (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Communication-minded visualizations are designed to provide their audience-managers, decision-makers, and the public-with new knowledge. Authoring such visualizations effectively is challenging because the audience often ...
    • 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, ...
    • Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau 

      Battle, Leilani; Heer, Jeffrey (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and yet our understanding of the process is arguably vague and piecemeal. We contribute a consistent definition of EVA through review ...
    • ChronoCorrelator: Enriching Events with Time Series 

      Dortmont, Martijn A.M.M. van; Elzen, Stef van den; Wijk, Jarke J. van (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Event sequences and time series are widely recorded in many application domains; examples are stock market prices, electronic health records, server operation and performance logs. Common goals for recording are monitoring, ...
    • ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns 

      Abbas, Mostafa M.; Aupetit, Michaël; Sedlmair, Michael; Bensmail, Halima (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose ClustMe, a new visual quality measure to rank monochrome scatterplots based on cluster patterns. ClustMe is based on data collected from a human-subjects study, in which 34 participants judged synthetically ...
    • CV3: Visual Exploration, Assessment, and Comparison of CVs 

      Filipov, Velitchko Andreev; Arleo, Alessio; Federico, Paolo; Miksch, Silvia (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The Curriculum Vitae (CV, also referred to as ''résumé'') is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatio-temporal, ...
    • The Dependent Vectors Operator 

      Hofmann, Lutz; Sadlo, Filip (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we generalize the parallel vectors operator due to Peikert and Roth to arbitrary dimension, i.e., to four-dimensional fields and beyond. Whereas the original operator tested for parallelism of two (derived) ...
    • 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, ...
    • DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions 

      Kakar, Tabassum; Qin, Xiao; Rundensteiner, Elke A.; Harrison, Lane; Sahoo, Sanjay K.; De, Suranjan (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Adverse reactions caused by drug-drug interactions are a major public health concern. Currently, adverse reaction signals are detected through a tedious manual process in which drug safety analysts review a large number ...
    • 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 ...
    • EuroVis 2019 CGF 38-3: Frontmatter 

      Gleicher, Michael; Viola, Ivan; Leitte, Heike (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    • 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 ...
    • Examining Implicit Discretization in Spectral Schemes 

      Quinan, P. Samuel; Padilla, Lace M. K.; Creem-Regehr, Sarah H.; Meyer, Miriah (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Two of the primary reasons rainbow color maps are considered ineffective trace back to the idea that they implicitly discretize encoded data into hue-based bands, yet no research addresses what this discretization looks ...
    • An Exploratory User Study of Visual Causality Analysis 

      Yen, Chi-Hsien Eric; Parameswaran, Aditya; Fu, Wai-Tat (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Interactive visualization tools are being used by an increasing number of members of the general public; however, little is known about how, and how well, people use visualizations to infer causality. Adapted from the ...
    • 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 ...
    • Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis 

      Ottley, Alvitta; Garnett, Roman; Wan, Ran (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The goal of visual analytics is to create a symbiosis between human and computer by leveraging their unique strengths. While this model has demonstrated immense success, we are yet to realize the full potential of such a ...