2007Geomatics & Spatial Information TechnologyRequires access

The Design and Realization of Information Infrastructure Spatial Database Based on ArcSDE

Chao Zhang

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Abstract

As the spatial data engine,ArcSDE has broad applications in GIS,it can effectively improve the management efficiency of spatial database.With the compare of common spatial data engine,the variety and mess data size erous characteristics of information infrastructure spatial data,this paper construct the information infrastructure spatial database,which is based on ArcSDE and SQL Server 2000.With the help of such database construction practices,this paper fully depicts how to store mess data and how to efficiently manage such data,which will definitely contribute a lot to data sharing and data use and obtain good effects in application.

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What this paper is about

As the spatial data engine,ArcSDE has broad applications in GIS,it can effectively improve the management efficiency of spatial database.With the compare of common spatial data engine,the variety and mess data size erous characteristics of information infrastructure spatial data,this paper construct the information infrastructure spatial database,which is based on ArcSDE and SQL Server 2000.With the help of such database construction practices,this paper fully depicts how to store mess data and how to efficiently manage such data,which will definitely contribute a lot to data sharing and data use and obtain good effects in application.

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Available abstract

As the spatial data engine,ArcSDE has broad applications in GIS,it can effectively improve the management efficiency of spatial database.With the compare of common spatial data engine,the variety and mess data size erous characteristics of information infrastructure spatial data,this paper construct the information infrastructure spatial database,which is based on ArcSDE and SQL Server 2000.With the help of such database construction practices,this paper fully depicts how to store mess data and how to efficiently manage such data,which will definitely contribute a lot to data sharing and data use and obtain good effects in application.

Key concepts: Database, Spatial database, Computer science, Spatial analysis, Spatial data infrastructure, Variety (cybernetics), SQL, Construct (python library)

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