Now showing items 1-6 of 6

    • Dynamic Visual Abstraction of Soccer Movement 

      Sacha, Dominik; Al-Masoudi, Feeras; Stein, Manuel; Schreck, Tobias; Keim, Daniel A.; Andrienko, Gennady; Janetzko, Halldór (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Trajectory-based visualization of coordinated movement data within a bounded area, such as player and ball movement within a soccer pitch, can easily result in visual crossings, overplotting, and clutter. Trajectory ...
    • Generating Tile Maps 

      McNeill, Graham; Hale, Scott A. (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Tile maps are an important tool in thematic cartography with distinct qualities (and limitations) that distinguish them from better-known techniques such as choropleths, cartograms and symbol maps. Specifically, tile maps ...
    • Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data 

      Wang, Yunhai; Li, Jingting; Nie, Feiping; Theisel, Holger; Gong, Minglun; Lehmann, Dirk J. (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      One main task for domain experts in analysing their nD data is to detect and interpret class/cluster separations and outliers. In fact, an important question is, which features/dimensions separate classes best or allow a ...
    • Minimum-Displacement Overlap Removal for Geo-referenced Data Visualization 

      Garderen, Mereke van; Pampel, Barbara; Nocaj, Arlind; Brandes, Ulrik (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Given a set of rectangles embedded in the plane, we consider the problem of adjusting the layout to remove all overlap while preserving the orthogonal order of the rectangles. The objective is to minimize the displacement ...
    • Sclow Plots: Visualizing Empty Space 

      Giesen, Joachim; Kühne, Lars; Lucas, Philipp (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Scatter plots are mostly used for correlation analysis, but are also a useful tool for understanding the distribution of highdimensional point cloud data. An important characteristic of such distributions are clusters, and ...
    • Sliceplorer: 1D Slices for Multi-dimensional Continuous Functions 

      Torsney-Weir, Thomas; Sedlmair, Michael; Möller, Torsten (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Multi-dimensional continuous functions are commonly visualized with 2D slices or topological views. Here, we explore 1D slices as an alternative approach to show such functions. Our goal with 1D slices is to combine the ...