Method for extracting complex window space information in space data engine

Abstract

A method for extracting complex window space information in a space data engine is disclosed, which provides an idea of storing linear and polygonal layer data in different strips according to scanning stripes, wherein corresponding auxiliary tables are built for linear and polygonal databases, and the storage of space data in different strips is realized, so that the extraction operation efficiency of the space information is improved by means of the auxiliary tables; and while extracting the complex window space information, complex space relationship operation is converted into intersection or overlap determination between units on the same stripe, thus greatly simplifying the complexity degree of operation, avoiding the processes of intersection of a lot of arc segments, break and recombination of the arc segments and the like, improving the operation efficiency and eliminating operation errors. The method has incomparable advantages in contrast with the traditional vector diagramelement space relationship operation, which are mainly presented in simple algorithm, small amount of programs and high processing efficiency; and in relation to the traditional element space relationship operation method of a pure raster graph, the method has the advantages of low operation quantity, high operation speed and high accuracy.

Description

technical field [0001] The invention belongs to the field of spatial data engines, in particular to a method for extracting spatial information from a complex window in a spatial data engine. Background technique [0002] Spatial Data Engine (Spatial Data Engine) is a middleware technology located between application programs and database management systems (RDBMS). Its essence is to construct spatial databases based on commercial databases to provide data storage and management functions. Users submit spatial data from various sources to RDBMS for unified management through the spatial data engine, and can also extract required data from the RDBMS through the spatial data engine. The application system based on the spatial data engine can generally be divided into three levels: the front-end client, the middle-tier application server and the back-end database server. The spatial data engine belongs to the middle-tier application server, which provides a set of spatial data ...

AI Technical Summary

Problems solved by technology

At present, in this link, some related topology calculation and polygon clipping methods have been proposed for the extraction of spatial information. Although these methods improve the efficiency of spatial query, a large number of invalid judgments between arcs are unavoidable. The efficiency of massive spatial data is low, and the response speed of the client and server is slow and it is difficult to meet the application requirements.

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