Spatial Generalization and Aggregation of Massive Movement Data

  title={Spatial Generalization and Aggregation of Massive Movement Data},
  author={Natalia V. Andrienko and Gennady L. Andrienko},
  journal={IEEE Transactions on Visualization and Computer Graphics},
Movement data (trajectories of moving agents) are hard to visualize: numerous intersections and overlapping between trajectories make the display heavily cluttered and illegible. It is necessary to use appropriate data abstraction methods. We suggest a method for spatial generalization and aggregation of movement data, which transforms trajectories into aggregate flows between areas. It is assumed that no predefined areas are given. We have devised a special method for partitioning the… CONTINUE READING
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