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Wu Ke-ming
Naval University of Engineering

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Research of Embedded GIS Data Management Strategies for Large Capacity Shi Bei-lei; Fang Kun; Wu Ke-ming; Ye Li-wei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the use of data for embedded GIS system continues to increase and the requirement of application for embedded GIS system continues to improve, the quad-tree index algorithms and block classification data organization mode that are currently used to handle large amounts of data reflects a certain limitation. combining the characteristics of embedded GIS data, the author put forward the multi-level data indexing and dynamic data loading ,and realize the data loading when required, and enhance the real-time response speed, solves the limitation on large volume data. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3967
Co-Authors Fang Kun Shi Bei-lei Ye Li-wei