Scalability of techniques for online geographic visualization of Web site hits
Stanger, Nigel
Cite this item:
Stanger, N. (2008). Scalability of techniques for online geographic visualization of Web site hits. In A. Moore & I. Drecki (Eds.), Geospatial Vision: New Dimensions in Cartography (pp. 193–217). Springer. doi:10.1007/978-3-540-70970-1_9
Permanent link to OUR Archive version:
http://hdl.handle.net/10523/678
Abstract:
Extremely large data sets are now commonplace, and they are often visualized through the World Wide Web. Scalability of web-based visualization techniques is thus a key issue. This paper investigates the scalability of four representative techniques for dynamic map generation and display (e.g., for visualizing geographic sources of web site hits): generating a single composite map image, overlaying images on an underlying base map and two variants of overlaying HTML on a base map. These four techniques embody a mixture of different display technologies and distribution styles (three server-side and one distributed across both client and server). Each technique was applied to 20 synthetic data sets of increasing size, and the data set volume, elapsed time and memory consumption were measured. The results show that all four techniques are suitable for small data sets comprising a few thousand points, but that the two HTML techniques scale to larger data sets very poorly across all three variables.
Date:
2008
Editor:
Moore, Antoni; Drecki, Igor
Publisher:
Springer
Pages:
234
ISBN:
978-3-540-70967-1
Rights Statement:
This is a postprint of the paper (i.e., author's final draft after refereeing) and may therefore differ slightly from the final published version in appearance and formatting. The original publication is available at www.springerlink.com.
Research Type:
Chapter in Book
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