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Spatial Index Method Based on R-tree

Xiaojun Tan

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Abstract

To further enhance the R-tree spatial index data retrieval performance,a MRD-tree index is presented based on R-tree,which contains both external approximate shape and internal approximate shape of spatial object,and it is allowed that the data entry stores in middle nodes.The number of I/O and the cost time of CPU are reduced during the search by the index,and a series of tests indicate that the MRD-tree index improves the query efficiency of spatial data.

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What this paper is about

To further enhance the R-tree spatial index data retrieval performance,a MRD-tree index is presented based on R-tree,which contains both external approximate shape and internal approximate shape of spatial object,and it is allowed that the data entry stores in middle nodes.The number of I/O and the cost time of CPU are reduced during the search by the index,and a series of tests indicate that the MRD-tree index improves the query efficiency of spatial data.

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Available abstract

To further enhance the R-tree spatial index data retrieval performance,a MRD-tree index is presented based on R-tree,which contains both external approximate shape and internal approximate shape of spatial object,and it is allowed that the data entry stores in middle nodes.The number of I/O and the cost time of CPU are reduced during the search by the index,and a series of tests indicate that the MRD-tree index improves the query efficiency of spatial data.

Key concepts: R-tree, Computer science, Index (typography), Tree (set theory), Spatial database, Spatial analysis, Object (grammar), Data mining

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