基于改进R_树的移动GIS多尺度渐进传输与表示.pdf
摘要：针对传统单尺度空间数据在低速无线网络环境下移动 GS 难以下载和表示的问题，在研究多尺度空间数据的基础上，设计并实现了一种改进的多尺度 R-tree。矢量数据和 R-tree 空间索引的尺度表示。空间索引算法。该算法使R树中的非叶子节点能够关联适当尺度的空间对象实体，确保海量矢量数据在服务器端有效地进行多尺度组织。在该算法的基础上，借助移动 GS 移动端设计的缓冲多尺度空间数据存储和管理，以及基于请求-响应模型的 GML 流式数据传输，设计并实现了一个多尺度面向移动G5的矢量数据渐进传输模型，使移动GIS能够实现更高效率的下载和表示各种尺度的空间数据。通过真实的土地利用状况空间数据实验，验证了该方法能够有效提高移动G5在无线网络情况下的数据传输效率。(Abstract: Aiming at the problem that the traditional single-scale spatial data is difficult to download and represent in the low-speed wireless network environment, an improved multi-scale R-tree is designed and implemented based on the study of multi-scale spatial data. Scale representation of vector data and R-tree spatial index. Spatial index algorithm. The algorithm enables the non leaf nodes in the R tree to associate spatial object entities with appropriate scales, so as to ensure the effective multi-scale organization of massive vector data on the server side. Based on this algorithm, with the help of buffered multi-scale spatial data storage and management designed by mobile GS mobile terminal and GML streaming data transmission based on request response model, a multi-scale vector data progressive transmission model for mobile G5 is designed and implemented, so that mobile GIS can download and represent spatial data of various scales more efficiently. Through the real land use spatial data experiment, it is verified that this method can effectively improve the data transmission efficiency of mobile G5 in the case of wireless network.)
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