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Proceedings Paper

Development of a GIService based on spatial data mining for location choice of convenience stores in Taipei City
Author(s): Chinte Jung; Chih-Hong Sun
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Paper Abstract

Motivated by the increasing accessibility of technology, more and more spatial data are being made digitally available. How to extract the valuable knowledge from these large (spatial) databases is becoming increasingly important to businesses, as well. It is essential to be able to analyze and utilize these large datasets, convert them into useful knowledge, and transmit them through GIS-enabled instruments and the Internet, conveying the key information to business decision-makers effectively and benefiting business entities. In this research, we combine the techniques of GIS, spatial decision support system (SDSS), spatial data mining (SDM), and ArcGIS Server to achieve the following goals: (1) integrate databases from spatial and non-spatial datasets about the locations of businesses in Taipei, Taiwan; (2) use the association rules, one of the SDM methods, to extract the knowledge from the integrated databases; and (3) develop a Web-based SDSS GIService as a location-selection tool for business by the product of ArcGIS Server.

Paper Details

Date Published: 28 October 2006
PDF: 10 pages
Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 642117 (28 October 2006); doi: 10.1117/12.713149
Show Author Affiliations
Chinte Jung, National Taiwan Univ. (Taiwan)
Chih-Hong Sun, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 6421:
Geoinformatics 2006: Geospatial Information Technology
Huayi Wu; Qing Zhu, Editor(s)

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