空间分析研究进展  

Progress of Spatial Analysis

作　　者：赵永[1,2] 王岩松[2] 

机构地区：[1]河南大学黄河文明与可持续发展研究中心,河南开封475000 [2]河南大学环境与规划学院,河南开封475004

出　　处：《地理与地理信息科学》2011年第5期1-8,共8页Geography and Geo-Information Science

基　　金：国家自然科学基金项目(40901284);河南大学第十批校级教学改革项目

摘　　要：空间分析从地理空间的视角描述和分析问题,是地理学日益受关注的研究手段与方法,已引起其他相关学科的重视。该文阐述了空间分析的概念、内容、分类与定义,沿着1960s以来空间分析的发展脉络,分为3个阶段:1960s对空间数据的分析和空间自相关的测度,1970s-1980s空间统计学的迅速发展时期,1990s到本世纪初,空间分析与GIS和智能计算相互结合产生巨大的应用潜力,计算密集型的特点明显。结合各阶段典型的、具有代表性的文献资料,阐述不同时期的主要特点与成就,最后总结了空间分析的发展趋势和相关问题。In geography and other related disciplines, spatial analysis is an important research tool and method, its importance has attracted increasing attentions. This paper systematically expounded the concepts, contents, classifications and definitions of spatial analysis,and divided the development of spatial analysis since the 1960s into three stages. The first stage is spatial autocor-relation period during 1960s,many scholars pay their attentions on this problem, such as Geary, the most important literature in this stage is Cliff and Ord＇s paper about Spatial Autocorrelation in 1969. The second stage is spatial statistics period during 1970s-1980s, such as Ripleyts K function, Matheron in geostatistics, Anselin in spatial econometrics and his Local Indicators of Spatial Association （LISA） index,Openshaw＇s Modifiable Areal Unit Problem （MAUP） ,among many others. The third stage is rapid development period since 1990s,with the wide range of using GIS technology and strong computer power, this stage includes mainly geocomputation, such as neutral network, cellular automata, multi-agent based model and so on. Combined with the typical and representative literatures in each stage, the main characteristics and achievements are described. Finally, summing up the discussion of the spatial analysis of development trends and related issues, for example, the curriculum of spatial analysis for undergraduate.

关 键 词：空间分析 空间数据分析 空间统计学 空间模型 

分 类 号：P208[天文地球—地图制图学与地理信息工程]