The Community for Technology Leaders
Information Visualization, IEEE Symposium on (2005)
Minneapolis, MN USA
Oct. 23, 2005 to Oct. 25, 2005
ISSN: 1522-404x
ISBN: 0-7803-9464-x
pp: 29
Pat Hanrahan , Stanford University
Ron Yeh , Stanford University
Ling Xiao , Stanford University
Doantam Phan , Stanford University
Terry Winograd , Stanford University
Cartographers have long used flow maps to show the movement of objects from one location to another, such as the number of people in a migration, the amount of goods being traded, or the number of packets in a network. The advantage of flow maps is that they reduce visual clutter by merging edges. Most flow maps are drawn by hand and there are few computer algorithms available. We present a method for generating flow maps using hierarchical clustering given a set of nodes, positions, and flow data between the nodes. Our techniques are inspired by graph layout algorithms that minimize edge crossings and distort node positions while maintaining their relative position to one another. We demonstrate our technique by producing flow maps for network traffic, census data, and trade data.
flow maps, GIS, hierarchical clustering
Pat Hanrahan, Ron Yeh, Ling Xiao, Doantam Phan, Terry Winograd, "Flow Map Layout", Information Visualization, IEEE Symposium on, vol. 00, no. , pp. 29, 2005, doi:10.1109/INFOVIS.2005.13
106 ms
(Ver 3.3 (11022016))