(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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