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 language | English |
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Title of host publication | GEOProcessing 2010 |
Subtitle of host publication | proceedings, the Second International Conference on Advanced Geographic Information Systems, Applications, and Services : 10-16 February, 2010, St. Maarten, Netherlands Antilles |
Editors | Victor Lobo, Bernd Resch, Bastian Schäffer |
Place of Publication | Los Alamitos, Calif. |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 33-38 |
Number of pages | 6 |
ISBN (Print) | 9780769539515 |
DOIs | |
Publication status | Published - 2010 |
Event | International Conference on Advanced Geographic Information Systems, Applications, and Services (2nd : 2010) - St. Maarten, Netherlands Antilles Duration: 10 Feb 2010 → 16 Feb 2010 |
Conference
Conference | International Conference on Advanced Geographic Information Systems, Applications, and Services (2nd : 2010) |
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City | St. Maarten, Netherlands Antilles |
Period | 10/02/10 → 16/02/10 |
Keywords
- clustering
- information visualization
- spatial data
- voronoi heatmap