Regulation based spatial data integration method

Abstract

The invention discloses a method for integrating spatial data, which comprises the following steps: inputting the data required to be integrated; formulating integration rules through analyzing a database model of different spatial data and establishing mapping specifications under different database models according to characteristics of various spatial data, and generalizing the integration rules so as to form an integration scheme; integrating the input data on various layers of the logical structure of the database according to the formulated data integration scheme; and outputting the integration data as a final data file. By adopting the method for integrating spatial data and a system in the method of the invention, the invention can realize an integral data integration system of integrating data comparison and analysis, formulation of the integration scheme and display of the integration result into one body, so as to realize automatic integration among different types of data. Therefore, the controllable property of the data integration is improved, the error rate of the data conversion is effectively reduced, and the operation is greatly convenient for the user.

Description

technical field [0001] The invention relates to a rule-based spatial data integration method and a spatial data integration system using the method. More specifically, the present invention relates to a spatial database integration method and system for spatial data integration using integration rules formed by analyzing input source data and a spatial database formed by the source data. Background technique [0002] The ever-changing space technology and information technology have promoted the global informatization. The development of the information society, on the one hand, puts forward new demands for geospatial data, and on the other hand, strongly promotes the construction of spatial data infrastructure. All countries in the world are vigorously strengthening the construction of spatial data infrastructure according to their own needs. Among them, the integration and updating of national basic geographic information databases have always been concerned by the survey...

AI Technical Summary

Problems solved by technology

For the direct exchange of spatial data, due to the inconsistency of the model and structure of each spatial data, the way of data expression is also inconsistent, and there is a problem of data loss through the translation of this data structure

However, using CNSDTF (SDTS) and other standard shared files, on the one hand, there are a lot of data in the "spatial data" before these standards are produced, these data do not consider the standards, and after these standards are produced, there will be a lot of data that have not been considered consistent with these standards

There are many data formats for collecting and distributing map data through various channels every day, such as DLG, DEM, TIN, DXF, TAB, COVERAGE, DGN and various electronic tablet data collection software formats; on the other hand, CNSDTF text format There are also problems that some data structures are difficult to describe

Spatial data interoperability is the development direction of data sharing, but the problem is that there is a large amount of data that is not established according to the OpenGIS specification before interoperability, and it is still difficult to be practical at present

In other words, at this stage, there are still great difficulties in the integration of spatial data

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