关键词: 地理信息系统, 矢量空间分析, 并行计算, 全空间信息系统, 多粒度时空对象, 存算一体化

Abstract:

The new generation of parallel spatial analysis in pan-spatial information system is challenged by analysis of spatial big data and real-time spatial service. As one of the most important part of GIS, vector spatial analysis has some performance bottlenecks such as load unbalance, less ability of parallel expansion and low I/O efficiency. First, we review the history of the developing process of vector spatial analysis from application requirement and technical progress. Then, we expound the research findings of spatial analysis of parallel vector, summarize the algorithm features and technical bottlenecks, compare the different parallel programming model and present the parallel spatial algorithm of R&D processing. Finally, we predict the spatial data model in the future and the computing method based on spatio-temporal objects of multi-granularity in pan-spatial information system. Also, we present the new techniques which use memory computing to realize the storage-computing integration in vector spatial analysis.

Key words: geographic information system, vector spatial analysis, parallel computing, pan-spatial information system, spatio-temporal objects of multi-granularity, storage-computing integration