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2003•Unpublished venueRequires access

The application of aggregated R-tree in the spatial data warehouse

Zhong Xuan

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Abstract

Spatial databases store information about spatial objects.In many applications summarized data is required, however this summary is very time consume and expensive.Driven by the non-spatial database,spatial data warehouses can be constructed to accelerate spatial OALP operations.It is considered the starschema and focus on the hierarchies of spatial dimensions,which based on the spatial R-tree index.It is also proposed a spatial query algorithm and considerd the updates of the data.

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What this paper is about

Spatial databases store information about spatial objects.In many applications summarized data is required, however this summary is very time consume and expensive.Driven by the non-spatial database,spatial data warehouses can be constructed to accelerate spatial OALP operations.It is considered the starschema and focus on the hierarchies of spatial dimensions,which based on the spatial R-tree index.It is also proposed a spatial query algorithm and considerd the updates of the data.

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Available abstract

Spatial databases store information about spatial objects.In many applications summarized data is required, however this summary is very time consume and expensive.Driven by the non-spatial database,spatial data warehouses can be constructed to accelerate spatial OALP operations.It is considered the starschema and focus on the hierarchies of spatial dimensions,which based on the spatial R-tree index.It is also proposed a spatial query algorithm and considerd the updates of the data.

Key concepts: Data warehouse, Spatial database, Spatial analysis, Computer science, Spatial query, R-tree, Data mining, Schema (genetic algorithms)

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