期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2005
卷号：XXXVI-2/W25
出版社：Copernicus Publications
摘要：The technologies of organization and management of the massive volume spatial data are playing an important role in GIS. Especially, with the increasing of the volume of spatial data and the extending of the application of GIS, one of the requirements for the spatial database management systems (SDBMS) of the future is the ability to handle the huge volume spatial data. These applications involve spatial data mining and knowledge discovery, multi-dimensional and dynamic GIS, spatial-temporal GIS etc. Therefore, the paper presents a new software framework of spatial data management in GIS based on the parallel spatial database management system (PSDBMS) to solve the difficulties in storing and retrieval of the huge volume spatial data. The application of the parallel database management system in GIS will come forth lots of new issues. As we all know, the parallel GIS will provide a framework of high- performance computing for processing of the spatial data. In order to improving the integrated performance of parallel GIS, it is properly necessary to utilize the parallel database management system in the parallel GIS. The paper discusses the key technologic issues of the parallel spatial database management system, such as the software architecture of parallel GIS based on the PSDBMS, the technologies of the spatial data partitioning, and the related technologies of the optimal query in the PSDBMS etc. Due to the increasing requirements of GIS applications for high performance processing and storage of spatial data, we can foresee that the parallel GIS based on the PSDBMS should have the powerful ability to deal with the various complex applications in the future, and provide an effective software platform for processing, storage and retrieval of the spatial data
关键词：Parallel Computing; Parallel Spatial Database Management System; Parallel GIS; Decision Support Systems
