Map segmentation for geospatial data mining through generalized higher-order Voronoi diagrams with sequential scan algorithms

Lee, Ickjai, Torpelund-Bruin, Christopher, and Lee, Kyungmi (2012) Map segmentation for geospatial data mining through generalized higher-order Voronoi diagrams with sequential scan algorithms. Expert Systems with Applications, 39 (12). pp. 11135-11148.

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DOI: 10.1016/j.eswa.2012.03.042

View at Publisher Website: http://dx.doi.org/10.1016/j.eswa.2012.03...

Abstract

Segmentation is one popular method for geospatial data mining. We propose efficient and effective sequential-scan algorithms for higher-order Voronoi diagram districting. We extend the distance transform algorithm to include complex primitives (point, line, and area), Minkowski metrics, different weights and obstacles for higher-order Voronoi diagrams. The algorithm implementation is explained along with efficiencies and error. Finally, a case study based on trade area modeling is described to demonstrate the advantages of our proposed algorithms.


Item ID:	23353
Item Type:	Article (Research - C1)
ISSN:	0957-4174
Date Deposited:	10 Sep 2012 02:13
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%
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