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Research on the Method of Multi-Source Spatial Data Integration
Author: ZhangWei
Tutor: CuiTieJun
School: PLA Information Engineering University
Course: Cartography and Geographic Information Engineering
Keywords: Spatial Data Common spatial data model Data Integration Middleware Dynamic link library
CLC: P208
Type: Master's thesis
Year: 2008
Downloads: 123
Quote: 1
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Abstract
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GIS applications continue to expand with in-depth, increasing demand for spatial data, tend to spend a lot of manpower, material and financial resources in order to establish the geographic information system, a variety of data acquisition, an increasingly large amount of spatial data; various application sectors according to their application needs always select a different GIS software platforms, using different data models and projection, resulting in spatial data there are very different in terms of data models, data structures, and semantic information. Multi spatial data the semantic storage format diversity, different mass data sharing format in order to be better able, multi-source spatial data integration methods exploratory study. This paper presents a method based on common spatial data model of multi-source spatial data integration, the establishment of a common data model and the data model of correspondence between the data channel is established between any two data formats so that any two data between the format and the model can maximize the mutual conversion and expression without loss of information. Commonly used GIS data model and a common data model mapping between the by corresponding conversion algorithm, integrated way, using middleware technology integrated into the multi-source spatial data in the same platform. Of this research work is mainly reflected in the following aspects: 1, integrated multi-source spatial data based on spatial data model, geographic features semantic information and spatial reference unification theory, integrated spatial data model and the application of new technologies to summarize. Classification and grading, re-encoding and ontology semantic integration on the basis of analysis of the semantic heterogeneity reason, and coordinate system conversion, the projection transformation Height Datum reunification space basis unified. 2, in the analysis of the characteristics of typical spatial data model, a common spatial data model on the basis of in-depth study compare the strengths and weaknesses of the domestic and foreign common GIS data model and open geospatial data model, design, and elaborate a common spatial data model, spatial data structure and implementation. 3, the use of dynamic link libraries and middleware technology, establish commonly used for each data model and a common data model mapping relations, to solve the problems in the data format conversion process to achieve the integration of of different formats GIS data. 4, on the basis of the common spatial data model design and data integration technology, self-developed multi-source spatial data integration platform system, to achieve the integration of multi-source spatial data in the same platform.
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