Corpus ID: 40896694

Characterizing the Swarm Movement on Map for Spatial Visualization

@inproceedings{Kumar2014CharacterizingTS,
  title={Characterizing the Swarm Movement on Map for Spatial Visualization},
  author={C. Kumar and Wilko Heuten and Susanne CJ Boll},
  year={2014}
}
Visualization of maps to explore relevant geographic areas is one of the common practices in spatial decision scenarios. However visualizing geographic distribution with multidimensional criteria becomes a nontrivial setup in the conventional point based map space. In this work we present a novel method to generalize from point data to spatial distributions, captivating on the swarm intelligence. We exploit the particle swarm optimization (PSO) framework, where particles represent geographic… CONTINUE READING

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References

SHOWING 1-7 OF 7 REFERENCES
A Visual Interactive System for Spatial Querying and Ranking of Geographic Regions
  • 9
Land-use spatial optimization based on PSO algorithm
  • 32
  • PDF
Interactive Exploration of Geographic Regions with Web-based Keyword Distributions
  • 4
  • PDF
Geographic Visualization: Concepts, Tools and Applications
  • 40
  • PDF
Web Information Retrieval Using Particle Swarm Optimization Based Approaches
  • H. Drias
  • Computer Science
  • 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
  • 2011
  • 16
Particle swarm optimization
  • J. Kennedy, R. Eberhart
  • Computer Science
  • Proceedings of ICNN'95 - International Conference on Neural Networks
  • 1995
  • 25,865
  • PDF