并行空间分析算法研究进展及评述  

Review on Parallel Spatial Analysis Algorithms

作　　者：王结臣[1] 王豹[1] 胡玮[1] 张辉[1] 

机构地区：[1]南京大学地理信息科学系,江苏南京210093

出　　处：《地理与地理信息科学》2011年第6期1-5,共5页Geography and Geo-Information Science

基　　金：江苏高校优势学科建设工程资助项目;国家基础科学人才培养基金能力提高项目(J0830518)

摘　　要：作为GIS的核心功能之一,空间分析逐步向处理数据海量化及分析过程复杂化方向发展,以往的串行算法渐渐不能满足人们对空间分析在计算效率、性能等方面的需求,并行空间分析算法作为解决目前问题的有效途径受到越来越多的关注。该文在简要介绍空间分析方法和并行计算技术的基础上,着重从矢量算法与栅格算法两方面阐述了目前并行空间分析算法的研究进展,评述了在空间数据自身特殊性的影响下并行空间分析算法的发展方向及存在的问题,探讨了在计算机软硬件技术高速发展的新背景下并行空间分析算法设计面临的机遇与挑战。As one of the core functions of GIS,spatial analysis aims at processing massive data and analyzing more complicated phenomena.However,previous sequential algorithms couldn′t meet the needs of spatial analysis in terms of processing speed,computing efficiency and so on.So parallel spatial analysis algorithms,as an effective way to solve the current problems,have received more and more attention.On the basis of introducing spatial analysis and parallel computation,the main attention was focused on elaborating the progress of study on parallel spatial analysis algorithms from two major aspects：parallel vector algorithms and parallel raster algorithms.Further,under the influencing of the spatial data′s self particularities,the development of parallel spatial analysis algorithms and its remaining problems are concisely reviewed.Last,the opportunities and challenges of the study encountered in the context of the rapid development of computer hardware and software technology are also discussed.

关 键 词：并行计算 空间分析 并行GIS 

分 类 号：P208[天文地球—地图制图学与地理信息工程]