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2002•Journal of Yancheng Institute of TechnologyRequires access

An Efficient Spatial Index Structure

Ping Li

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Abstract

In order to handle spatial data efficiently, a database system needs an index mechanism that will help it retrieve data items quickly. However, traditional index methods are not well suited to access spatial data objects because of the special properties of spatial data. In this paper we introduce one of the most popular index structure Rtree and its major algorithms. We implement the R-tree indexing in SADBS which is a spatial analysis database system developed by us.

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What this paper is about

In order to handle spatial data efficiently, a database system needs an index mechanism that will help it retrieve data items quickly. However, traditional index methods are not well suited to access spatial data objects because of the special properties of spatial data. In this paper we introduce one of the most popular index structure Rtree and its major algorithms. We implement the R-tree indexing in SADBS which is a spatial analysis database system developed by us.

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Available abstract

In order to handle spatial data efficiently, a database system needs an index mechanism that will help it retrieve data items quickly. However, traditional index methods are not well suited to access spatial data objects because of the special properties of spatial data. In this paper we introduce one of the most popular index structure Rtree and its major algorithms. We implement the R-tree indexing in SADBS which is a spatial analysis database system developed by us.

Key concepts: Spatial database, Search engine indexing, R-tree, Index (typography), Computer science, Spatial analysis, Data mining, Database index

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