DocumentCode
2709637
Title
The spatial distribution pattern analysis of public cultural facilities in Shanghai
Author
Tian, Dongdi ; Rui, Jianxun ; Chen, Neng ; Gu, Yinghong ; Yan, Bin
Author_Institution
Inst. of Tourism, Shanghai Normal Univ., Shanghai, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
5
Abstract
Integrated with spatial analysis, GIS can meet all kinds of requirements from decision-making support. PostgreSQL and PostGIS provide a favorable platform and powerful database solution for geospatial data analysis, and enhance the storage of spatial data management capabilities. PostgreSQL can provide dynamic and real-time spatial query and analysis. GIS spatial query and analysis are achieved in order to support the analysis of Shanghai public cultural facilities in spatial distribution patterns, equilibrium, et al. Buffer and sector analysis are imposed on pursuit of finding possible spatial distribution rules of these facilities taken Shanghai Park Hotel as a center. This paper further discusses how to manage and analyze geospatial data in PostgreSQL, and also reflects the flexibility, dynamism in using PostGIS as well as the advantage of using open source database to analyzing spatial data. This solution also helps to strengthen the flexibility of the spatial analysis methods in geographical information system.
Keywords
SQL; data analysis; geographic information systems; public administration; query processing; visual databases; GIS spatial query; PostGIS; PostgreSQL; Shanghai; decision-making support; geographical information system; geospatial data analysis; public cultural facilities; real-time spatial query; spatial analysis; spatial data management; spatial distribution pattern analysis; spatial distribution patterns; Cities and towns; Cultural differences; Geospatial analysis; Object oriented modeling; Pattern analysis; Spatial databases; SQL3; Shanghai; public cultural facilities; spatial distribution pattern analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980894
Filename
5980894
Link To Document