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The core elements of Web GIS are spatial information processing and spatial data. It means that the flexibility of the Web GIS system depends on the cross-platform processing and the capability to analyze the heterogeneous data. Even though Web services are employed to add Web GIS the capabilities of cross-platform processing, the heterogeneous data still can not be well analyzed. The spatial analysis...
The research purchases more orders to the geo-computation data infrastructure. It should be distributed, platform-independent, extensible, robust, and can one-stop serve the applications. In this paper, based on grid technology, an SOA based 4-layered data infrastructure which is built up by data nodes, data sources, data agencies, client libraries, and other components is proposed. It adopts an XML...
With the increasing availability of large quantity of geospatial data, and the growing complexity of spatial algorithms, they are the most compelling challenges to the GIS computing efficiency. Faced the problems of computing and I/O intensive, it's an appropriate approach that involves the techniques such as distributed or parallel computing into GIS context. Some researches concerned into the parallelization...
The continuing research on geo-computation purchases more orders to the data infrastructure of geo-computation. It should be distributed, platform-independent, extensible, robust, autonomic, and can on-stop serve the users and applications. In this paper, based on spatial information grid (shortly SIG), a 4-layered data infrastructure which is built up by data nodes, data sources, data agencies, support...
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