Research of Embedded GIS Data Management Strategies for Large Capacity

Shi Bei-lei, Fang Kun, Wu Ke-ming, Ye Li-wei

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


Keywords


Embedded GIS; Multi-level Data Indexing; Dynamic Data Loading

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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