Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City
碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 93 === Census data often accurately reflect the socio-economic trends and characteristics of the region under survey, they serve as a useful planning tool for both the government and the private enterprises. In this research, we collect the Taipei census data in 2000...
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ndltd-TW-093NTU051360192015-10-13T11:12:49Z http://ndltd.ncl.edu.tw/handle/40171510251857768013 Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City 普查資料之空間資料挖掘研究—以台北市便利商店區位分析為例 Chin-Te Jung 榮峻德 碩士 國立臺灣大學 地理環境資源學研究所 93 Census data often accurately reflect the socio-economic trends and characteristics of the region under survey, they serve as a useful planning tool for both the government and the private enterprises. In this research, we collect the Taipei census data in 2000, the industrial census data in 2001, and the present Taipei geospatial data into the Spatial Census Database. In order to converse the industrial census data in 2001 into the same units of Taipei Census Database, we develop a data conversion model which use the land use data and “Geographic Data Management System of Building Address” developed by Taipei Municipal Government to complete it. Such database is analyzed by the association rules of data mining in the location of the existing convenience stores in the Taipei area. The analysis unveils the interesting association rules among census, demographics and the location of convenience stores. Finally, this research incorporates geographic information system (GIS) technology to map the result of the analysis so as to provide a spatial representation that will be more easily understood. Chih-Hong Sun 孫志鴻 2005 學位論文 ; thesis 113 zh-TW |
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碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 93 === Census data often accurately reflect the socio-economic trends and characteristics of the region under survey, they serve as a useful planning tool for both the government and the private enterprises. In this research, we collect the Taipei census data in 2000, the industrial census data in 2001, and the present Taipei geospatial data into the Spatial Census Database. In order to converse the industrial census data in 2001 into the same units of Taipei Census Database, we develop a data conversion model which use the land use data and “Geographic Data Management System of Building Address” developed by Taipei Municipal Government to complete it. Such database is analyzed by the association rules of data mining in the location of the existing convenience stores in the Taipei area. The analysis unveils the interesting association rules among census, demographics and the location of convenience stores. Finally, this research incorporates geographic information system (GIS) technology to map the result of the analysis so as to provide a spatial representation that will be more easily understood.
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author2 |
Chih-Hong Sun |
author_facet |
Chih-Hong Sun Chin-Te Jung 榮峻德 |
author |
Chin-Te Jung 榮峻德 |
spellingShingle |
Chin-Te Jung 榮峻德 Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City |
author_sort |
Chin-Te Jung |
title |
Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City |
title_short |
Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City |
title_full |
Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City |
title_fullStr |
Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City |
title_full_unstemmed |
Spatial Data Mining on Census Data —A Case Study for Location Analysis of Convenience Stores in Taipei City |
title_sort |
spatial data mining on census data —a case study for location analysis of convenience stores in taipei city |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/40171510251857768013 |
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