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Theories and Systems of Geo-spatial Data Integration
地学数据集成的理论基础与集成体系

Keywords: Geo,spatial data integration,Data cognition,Theory of data integration
地学数据集成
,集成理论依据,数据认知,地球空间数据

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Abstract:

Following the extension of capturing method for geo spatial data, development of database updating technology, and application of geo spatial, Geo spatial data integration is found more and more necessary than ever before. Simply saying, geo spatial data integration is the processes in which geo spatial data captured from different sources and created with internal and external characteristic can be used within one uniform platform. The paper describes why geo spatial data can be integrated and how to integrate. In the first part of the paper, the authors focus on the theory foundations of geo spatial data integration, such as: (1) spatial and temporal uniform of geo processes and geo phenomena that are considered as the content of geo spatial represented. (2) Temporal and spatial continuity of geo processes and phenomena, accordingly, coming to the result that different part of one geo spatial feature can be joined together in an integrated dataset. (3) Hierarchy of geo processes and phenomena make possible the data generalization in data integration. (4) The similar cognition processes in different geo spatial data capturing processes make possible the comparison of same spatial feature in different dataset. (5) Based on geo spatial metadata, how to make the content and format of geo spatial knowable to data users. (6) The independence of contents of geo spatial data on it's format. Based on the theory foundation, at the final part of the paper, the authors describe a general geo spatial data integration system which includes geo spatial metadata information system, geo information processing model, network based data user interface, distributed geo spatial database, and geo export knowledge system.

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