| Título: | Research of Embedded GIS Data Management Strategies for Large Capacity |
| Autores: |
Bei-lei, Shi; Naval University of Engineering Kun, Fang; Naval University of Engineering Ke-ming, Wu; Naval University of Engineering Li-wei, Ye; Naval University of Engineering |
| Fecha: | 2013-07-22 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
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| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | Embedded GIS; Multi-level Data Indexing; Dynamic Data Loading |
| Descripción: | 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. |
| Idioma: | Inglés |