Dynamic label sampling on fisheye maps for information exploration

Authors:
Junichi Tatemura
Affiliations:
University of Tokyo, 7-22-1 Roppongi, Minato-ku, Tokyo 106-8558 Japan
Venue:
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Year:
2000

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Abstract

For data with large dimensionality, placing labels is critical for users' comprehension of a scatterplot or a map of items. We propose a dynamic label sampling technique that, combined with graphical fisheye views, selects appropriate labels out of a large set of items on a map. Labels are sampled to give focus and contextual information according to users' panning/zooming and filtering operation. The paper also demonstrates an example of visual exploration with the image browser based on our technique.