The Study On The Grid-Oriented Access, Integration And Interoperation Of Massive Spatio-Temperal Data

The character of the geographic information which is known as distributed pushes the organization and processing of the spatial data from centralization to distribution. There are weaknesses in traditional GIS technology framework, especially in the sharing and interoperation of massive spatio-temperal data and resources, stability of the system, load balance and efficiency of online analysis, which cannot meet the development of GIS anymore. The development of Grid technologies brings GIS both opportunities and challenges.According to the major characteristics of new generation GIS which is distributed, massive and tempo-attributed, spatio-temperal data modeling mechanisms for Grid computation are explored and the access, integration and interoperation of spatio-temperal data from heterogeneous environment and heterogeneous data source in Grid GIS framework is discussed based on grid compute technology and its closely related standards and supported technologies such as Web Service, OGIS, WSRF, and which is with the purpose to offer data and function service to users transparently, realize functional operation in heterogeneous environment and technologically support spatio-temperal data sharing. The focus and innovation of this dissertation are as follows:(1) Exploring the framework of Grid GIS. The basic concepts and contents of GRID, Spatial Information Grid (SIG) and Grid GIS are introduced and its related technologies of Grid computation including Web Service, OpenGIS, Globus, WSRF are discussed as well. After that, the massive spatio-temperal data service architecture and sharing strategy for grid computation are explored and the patterns and structures employing grid technology for spatio-temperal information service are studied in the grid GIS framework, which takes service-oriented theory and technology realization as target.(2) Modeling grid-oriented massive spatio-temperal data. After analyzing the content of spatio-temperal data model in grid environment, an innovational grid spatio-temperal data modeling is prompted, which include models both inside a grid node and between grid nodes. The spatio-temperal data model inside a grid node focuses on the deep reason why events occur continuously so as the role which spatio-temperal topological maintenance and rebuilding among features plays in the description of spatio-temperal changing course is exposed. As a result, a dynamic event-cascaded spatio-temperal data model process-based is designed. The spatio-temperal data model among grid nodes puts a lot focus on how to organize data logically, in which an innovational method called "grid buffer pool" is brought forward, that can convert spatio-temperal operations among grid nodes into spatio-temperal operations in the grid buffer pool in order to make full use of grid data.(3) Studying the mechanism of accessing and integrating spatio-temperal data in grid environment. In accordance with data management in grid environment, by introducing a middle-ware named Open Grid Services Architecture—Data Access and Integration (OGSA-DAI) and extending its activity to manipulate spatial data in Web Service Resource Framework (WSRF), the access and integration of spatio-temperal data is realized.(4) Establishing grid-based framework for sharing and interoperating spatio-tempral data. According to both sharing mechanism and data model of grid spatio-temperal data in distributed wide-area environment, A GML-based spatio-temperal data expression is prompted which benefited from GML's support to complex geometry entity, space, tempo, topology and the GML concept framework which is constructed, generated, encapsulated and designed objected-oriented.(5) Developing a grid-GIS-based application. A provincial Grid-based land-use information management scheme is prompted which aims at the current state and existed problems of land-use resource management in Zhejiang province. An architecture for provincial resource management in Grid environment and spatio-temperal data model in each minimum grid node are offered, which is intended to provide both data service and function service for land-use. A system prototype that integrates the functions of service registering and management of spatio-temperal data access, integrating, displaying, statistics and overlapping analyze spatio-temperal data from heterogeneous data source is given in GT4 environment.