Vizualizing large spatial datasets in interactive maps

Jean-Yves Delort

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

14 Citations (Scopus)

Abstract

This paper addresses the problem of reducing cluttering in interactive maps. It presents a new technique for visualizing large spatial datasets using hierarchical aggregation. The technique creates a hierarchical clustering tree, which is subsequently used to extract clusters that can be displayed at a given scale without cluttering the map. Voronoi polygons are used as aggregation symbols to represent the clusters. This technique retains hierarchical relationships between data items at different scales. In addition, aggregation symbols do not overlap, and their sizes and the number of points that they cover is controlled by the same parameter. The scalability analysis shows that the method can effectively be used with datasets of up to 1000 items.
Original languageEnglish
Title of host publicationGEOProcessing 2010
Subtitle of host publicationproceedings, the Second International Conference on Advanced Geographic Information Systems, Applications, and Services : 10-16 February, 2010, St. Maarten, Netherlands Antilles
EditorsVictor Lobo, Bernd Resch, Bastian Schäffer
Place of PublicationLos Alamitos, Calif.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages33-38
Number of pages6
ISBN (Print)9780769539515
DOIs
Publication statusPublished - 2010
EventInternational Conference on Advanced Geographic Information Systems, Applications, and Services (2nd : 2010) - St. Maarten, Netherlands Antilles
Duration: 10 Feb 201016 Feb 2010

Conference

ConferenceInternational Conference on Advanced Geographic Information Systems, Applications, and Services (2nd : 2010)
CitySt. Maarten, Netherlands Antilles
Period10/02/1016/02/10

Keywords

  • clustering
  • information visualization
  • spatial data
  • voronoi heatmap

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