Study On Integration Model Of Multiple Source Geospatial Information And Economic Information

With the wide use of GIS technical application,the demand of the geography data has become more huge. The research and the development of geography information shareing will play an important role to the integration of information system and information in globe scope and the comprehensively arriving of an information based society. Because the ways of collecting data are various and the means of processing data are complicated, data is the most exorbitant part of GIS and is approximate 70%~80% in the cost. How to use the massive traditional CAD form electronic map data, different department's various data format GIS data and economy data becomes an important question which shoud be solved in the geographic information system construction.This article founded on a research project of high-tech research development plan (863 plan) titled"A application demonstration system of regional remote sensing, economic and space information integration",and conducted the research to the spatial data integration model and economical data and spatial data integrated model in GIS multi-sources integration.In the multiple source spatial data integration model aspect, this article began with the multiple source geography space data characteristic to carry on the comparison and the analysis to the present geography data integration pattern, and discuses the multiple source spatial data integration meaning, the goal, feasible, crucial technical as well as the data integration main method. Then the article proposed use"middleware"to carry on the multiple source spatial data integration. In this aspect, following four aspects are studied with emphasis: (1) Research on geographic information system integration frame; (2) Research on multiple source spatial data integration middleware; (3) Multiple source spatial data integration data model design; (4) Research on conducting the multiple source data semantics transformation using the data dictionary.In the multiple source economical data and the spatial data integration aspect, this article analyzed the traditional integration method of spatial data and the economical data cannot do a very good reflection of economical data actual distribution, and then proposed an economical data multi- factors space discretization method, and establishment corresponding discretization model. The discretization model includes: (1) Urban population spatial discretization model; (2) Rural population spatial discretization model; (3) Agriculture GDP discretization model; (4) The Second...