Research of Embedded GIS Data Management Strategies for Large Capacity

Shi Bei-lei (Naval University of Engineering)
Fang Kun (Naval University of Engineering)
Wu Ke-ming (Naval University of Engineering)
Ye Li-wei (Naval University of Engineering)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 1: January 2014

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