空间统计学进展及其在经济地理研究中的应用

发布时间：2018-04-15 07:07

本文选题：空间统计 + 空间数据　；参考：《地理科学进展》2010年06期

【摘要】：空间统计是20世纪90年代以后在经济地理,尤其是城市和区域研究领域中发展起来的重要研究方法。这一方法考虑到事物发展的空间依赖性,大大革新了原有经典统计,并借助于地理信息技术增强了可视化效果,丰富了在城市和区域研究中对空间的认识和预期。本文简明地综述了空间统计主要领域和内容,指出探索式空间分析,局部空间统计和空间回归模型是空间统计与经济地理研究主要的结合点,代表了未来发展趋势;并就空间尺度、空间权重矩阵、边缘效应和解释谬误等方面着重阐述了应用时应注意的问题。在此基础上,对近年来空间统计在社会经济要素集聚、土地利用和城市空间结构、交通和房方产研究中的应用进行了回顾,总结其主要应用方面和价值。空间统计将会大大提高对城市微观尺度的研究,为城市研究的基本理论假设和社会经济发展机理提供重要研究手段,但对数据库建设提出了更高的要求。
[Abstract]:Spatial statistics is an important research method developed in the field of economic geography, especially in the field of urban and regional research since 1990s.This method takes into account the spatial dependence of the development of things, greatly innovates the original classical statistics, enhances the visualization effect by means of geographic information technology, and enriches the understanding and expectation of space in urban and regional research.In this paper, the main fields and contents of spatial statistics are briefly summarized. It is pointed out that exploratory spatial analysis, local spatial statistics and spatial regression model are the main combination points of spatial statistics and economic geography research, and represent the future development trend.The problems that should be paid attention to in terms of spatial scale, spatial weight matrix, edge effect and interpretation fallacy are also discussed.On this basis, the application of spatial statistics in recent years in the study of social and economic factors, land use, urban spatial structure, traffic and housing production is reviewed, and its main application and value are summarized.Spatial statistics will greatly improve the study of urban micro-scale and provide an important research means for the basic theoretical assumptions of urban research and the mechanism of social and economic development. However, higher requirements for database construction are put forward.
【作者单位】：中国科学院地理科学与资源研究所;
【基金】：中国科学院第三期创新项目(KZCX2-YW-321)
【分类号】：C33;F129.9

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