Paper
28 October 2006 Design and implementation of spatial knowledge grid for integrated spatial analysis
Xiangnan Liu, Li Guan, Ping Wang
Author Affiliations +
Proceedings Volume 6421, Geoinformatics 2006: Geospatial Information Technology; 64211E (2006) https://doi.org/10.1117/12.713202
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China
Abstract
Supported by spatial information grid(SIG), the spatial knowledge grid (SKG) for integrated spatial analysis utilizes the middleware technology in constructing the spatial information grid computation environment and spatial information service system, develops spatial entity oriented spatial data organization technology, carries out the profound computation of the spatial structure and spatial process pattern on the basis of Grid GIS infrastructure, spatial data grid and spatial information grid (specialized definition). At the same time, it realizes the complex spatial pattern expression and the spatial function process simulation by taking the spatial intelligent agent as the core to establish space initiative computation. Moreover through the establishment of virtual geographical environment with man-machine interactivity and blending, complex spatial modeling, network cooperation work and spatial community decision knowledge driven are achieved. The framework of SKG is discussed systematically in this paper. Its implement flow and the key technology with examples of overlay analysis are proposed as well.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiangnan Liu, Li Guan, and Ping Wang "Design and implementation of spatial knowledge grid for integrated spatial analysis", Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64211E (28 October 2006); https://doi.org/10.1117/12.713202
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Cited by 1 scholarly publication.
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KEYWORDS
Geographic information systems

Spatial analysis

Knowledge discovery

Remote sensing

Visualization

Data mining

Data processing

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