1. Home
  2. Journals
  3. IEEE Transactions on Visualization and Computer Graphics
  4. 2024.01

IEEE Transactions on Visualization and Computer Graphics

Reducing Ambiguities in Line-Based Density Plots by Image-Space Colorization

Jan. 2024, pp. 825-835, vol. 30

Authors

Yumeng Xue, University of Konstanz, Germany and Shandong University, China  
Patrick Paetzold, University of Konstanz, Germany  
Rebecca Kehlbeck, University of Konstanz, Germany  
Bin Chen, University of Konstanz, Germany  
Kin Chung Kwan, California State University Sacramento, United States  
Yunhai Wang, Shandong University, China  
Oliver Deussen, University of Konstanz, Germany
Download PDF

Keywords

Visualization, Image Color Analysis, Market Research, Trajectory, Clutter, Trajectory Data, Times Series, Density Based Visualization, Clustering, Coloring, Density Plots, Interactive, Hierarchical Clustering, User Study, Real World Datasets, Image Space, Complex Datasets, Regional Plots, Line Chart, Visual Clutter, Trends In Datasets, Time Series, Scatter Plot, Time Series Data, Patterns In Data, Dense Regions, Trends Data, Color Map, Line Plots, Dice Similarity Coefficient, Trend Plots, Line Bundle, Dynamic Time Warping, Parallel Coordinates, Main Trends, Overlap Coefficient, Hue Values, Types Of Ambiguity, Clustering Of Lines, Portion Of Participants

Abstract