Title :
Spatial analysis on SQL Geography and Geometry data
Author :
Ye, Ling ; Mao, Jianhua
Author_Institution :
Res. Centre of Remote Sensing & Spatial Inf. Sci., Shanghai Univ., Shanghai, China
Abstract :
Spatial analysis is a spatial data analysis technique based on the location and the shape of the geographical object. In this paper, we introduce two spatial data types provided by SQL Server 2008 which refers to Geometry and Geography. As with Shapefile data structure supported by ESRI, Geometry and Geography are object oriented data structures which make it more easily to store semantic information and spatial relationship. In this paper, the spatial analytic characteristics of Geometry and Geography are discussed based on the Geometry data structure with its supported algorithms for spatial analysis and reasoning. An example of finding interested objects within a defined distance to a city road is discussed. At last, some future research in the area of semantics-enabled analysis of geographic information in terms of ontology combining with spatial database engine of Microsoft SQL Server are bring forward.
Keywords :
SQL; data analysis; data structures; geographic information systems; ontologies (artificial intelligence); Gydata data analysis; Microsoft SQL server; SQL geography data spatial analysis; Shapefile data structure; geographic information system; geometry data structure; ontology; semantics-enabled analysis; spatial data analysis technique; spatial database engine; Data models; Earth; Geography; Geometry; Servers; Shape; Spatial databases;
Conference_Titel :
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-5856-1
DOI :
10.1109/ICALIP.2010.5685200