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.
[1]
Kai Xia,et al.
Study on Real-Time Navigation Data Model Based on ESRI Shapefile
,
2008,
2008 International Conference on Embedded Software and Systems Symposia.
[2]
Alastair Aitchison.
Beginning Spatial with SQL Server 2008
,
2009
.
[3]
Yi Fang,et al.
Spatial indexing in microsoft SQL server 2008
,
2008,
SIGMOD Conference.
[4]
Robin Dewson.
Beginning SQL Server 2008 for Developers: From Novice to Professional
,
2008
.
[5]
Peter A. Rogerson,et al.
Spatial Analysis and GIS
,
1994
.