10 November 2008 A spatial indexing system for visualizing database
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Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71460S (2008) https://doi.org/10.1117/12.813119
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
The XML-enabled Spatial Visualizing Database can be widely used because of its high security and convenience of management. It is often implemented by relational databases. But, these databases can't index points, curves and surfaces separately based on their characteristics. In addition, the indexing systems of these databases are not capable of creating the function of indexing on a wide range of relational databases. These limitations were solved by the following two steps in the paper. Firstly, referring to the SVG spatial expressional model, bring up a solution to index points, curves, and surfaces separately with different algorithms. Secondly, elaborately design a spatial indexing system with high cohesion and low coupling by using three design patterns: Template Method, Bridge and Adapter. Eventually, our system has three achievements: 1) separately index points, curves and surfaces with different algorithms catering for the users; 2) index SVG visualizing data on heterogeneous relational databases; 3) many of the open-source spatial indexing projects can be used in this system after modifying some codes. Experiments have been carried out to prove the conclusions mentioned above.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Ma, Yan Li, Xuemin Dong, "A spatial indexing system for visualizing database", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460S (10 November 2008); doi: 10.1117/12.813119; https://doi.org/10.1117/12.813119
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