GML空间数据索引机制研究

随着GML规范的不断完善及GIS软件厂商的广泛支持，GML已经成为事实上的空间数据编码、传输、存储、发布的国际标准，越来越多的空间数据开始以GML格式存储。如何有效地存储管理GML空间数据，已经成为GIS研究的热点问题。结合XML 文档编码和传统的空间数据索引，对GML空间数据的索引进行了深入的研究，提出了基于空间索引的GML一体化索引机制以及相应的查询处理策略与相关算法，并以R树索引为例，对一体化索引的查询处理性能进行了实验分析。实验结果表明，该文提出的基于空间索引的GML一体化索引机制是可行的、高效的。

Research on Index Techniques for GML Spatial Data

With the development of GML specification and its broad supporting by many GIS software vendors, GML becomes the de facto international standard for spatial data encoding, transmission, store and publish; more and more spatial data is stored in GML format. Issues as how to manage the spatial data in GML format efficiently become the hot ones in GIS. Integrating XML document encoding techniques and traditional spatial index methods, this paper conducts a deep research on indexing GML data; one unified indexing model based on spatial index for GML data is suggested; and its query processing strategies and related algorithms are discussed. Taking R-tree as an example, the performance of the unified indexing model is tested and analyzed through a set of experiments. Experimental results show that the unified indexing model is feasible and efficient.