Geographic knowledge discovery from Web Map segmentation through generalized Voronoi diagrams
Lee, Ickjai, and Torpelund-Bruin, Christopher (2012) Geographic knowledge discovery from Web Map segmentation through generalized Voronoi diagrams. Expert Systems with Applications, 39 (10). pp. 9376-9388.
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Web maps have become an important decision making tool for our daily lives. We propose a flexible Web Map segmentation method in order to better use them for decision makings. We extend the distance transform algorithm to include complex primitives (point, line and area), Minkowski metrics, different weights and obstacles. The algorithms and proof are explained thoroughly and illustrated. Efficiency and error for the novel algorithms are also detailed. Finally, the usefulness of the algorithms is demonstrated through a series of real-life case studies.
|Item Type:||Article (Refereed Research - C1)|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 50%|
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 50%|
89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 50%
|Deposited On:||10 Sep 2012 12:07|
|Last Modified:||23 May 2013 02:03|
Last 12 Months: 1
|Citation Counts with External Providers:||Web of Science: 2|
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