Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
复制标题
区域经济统计分析中的空间数据配置及相关问题
DOI：
10.1007/978-94-009-2395-9
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发表时间：
1989
期刊：
影响因子：
--
通讯作者：
G. Arbia
中科院分区：
文献类型：
--
作者：
G. Arbia
1.介绍：空间效应和数据配置的作用。1.1目标和方法。1.2理论问题的概述。1.3方法论的草图。1.4这本书的大纲。1.5省略的主题。2.理论问题动机。2.1介绍。- 2.2修正面积单位问题。2.3生态谬误问题。2.4空间相关图估计中的问题。2.5总结和结论。3.区域经济学中空间数据的配置3.1介绍。3.2区域经济分析中空间数据的性质。3.3描述不规则收集区域的配置。3.4结论。附录3.1用一个相当小的矩阵作为输入生成连通矩阵的FORTRAN程序。附录3.2 FORTRAN程序生成分组矩阵与一个相当小的矩阵作为输入。4.随机空间过程4.1二维平稳随机过程4.2随机过程的线性变换。- 4.3空间随机过程的推论。4.4总结和结论。5.单变量问题：可修改的面积单位问题。5.1介绍。- 5.2规模问题：常规情况。5.3规模问题：不规则情况。5.4聚合问题。5.5总结和结论。附录5.1方差和协方差递归估计的FORTRAN程序。附录5.2生成伪随机规则分区系统的FORTRAN程序。6.二元问题：可修改的面积单位问题和过程之间的相关性。6.1介绍。- 6.2过程之间的规模和相关性。6.3过程之间的聚合和相关性。6.4总结和结论。7. Biyariate问题：生态谬误。7.1介绍。7.2生态谬误问题。7.3总结和结论。附录7.1：从具有非常大的方差-协方差矩阵的多变量过程生成观测值的FORTRAN程序。8.空间相关图的阻尼效应。8.1介绍。- 8.2阻尼效应。- 8.3模拟研究。- 8.4总结和结论。9.结论。附录。A.1 1981年人口普查中意大利当地劳动力市场的人口、就业率和活动率。A.2 1985年上半年意大利制造业用电量。A.3日本汤波平原胡野镇房屋的方片计数（Matui，1932）。A.4麦地谷物的重量（Mercera Hall，1911年）。A.5二维模拟方法。参考资料。
1. Introduction: spatial effects and the role of configuration of data.- 1.1 Objectives and approaches.- 1.2 An overview of theoretical problems.- 1.3 A sketch of the methodology.- 1.4 An outline of the book.- 1.5 Omitted topics.- 2. Theoretical Problems Motivation.- 2.1 Introduction.- 2.2 The modifiable areal unit problem.- 2.3 The ecological fallacy problem.- 2.4 Problems in the estimation of the spatial correlogram.- 2.5 Summary and conclusion.- 3. The Configuration of Spatial Data in Regional Economics.- 3.1 Introduction.- 3.2 The nature of spatial data in regional economic analysis.- 3.3 Describing the configuration of irregular collecting areas.- 3.4 Conclusion.- Appendix 3.1 FORTRAN program to generate connectivity matrices with a considerably smaller matrix as an input.- Appendix 3.2 FORTRAN program to generate grouping matrices with a considerably smaller matrix as an input.- 4. Stochastic Spatial Processes.- 4.1 Stationary stochastic processes in two dimensions.- 4.2 Linear transformations of random processes.- 4.3 Inference on spatial stochastic processes.- 4.4 Summary and conclusion.- 5. Univariate Problems: The Modifiable Areal Unit Problem.- 5.1 Introduction.- 5.2 The scale problem : regular case.- 5.3 The scale problem : irregular case.- 5.4 The aggregation problem.- 5.5 Summary and conclusion.- Appendix 5.1 FORTRAN program for the recursive estimation of variance and covariance.- Appendix 5.2 FORTRAN program for the generation of pseudo-random regular zoning systems.- 6. Biyariate Problems: The Modifiable Areal Unit Problem and Correlation between Processes.- 6.1 Introduction.- 6.2 Scale and correlation between processes.- 6.3 Aggregation and correlation between processes.- 6.4 Summary and conclusion.- 7. Biyariate Problems: The Ecological Fallacy.- 7.1 Introduction.- 7.2 The ecological fallacy problem.- 7.3 Summary and conclusion.- Appendix 7.1: FORTRAN program for the generation of observations from a multivariate process with a very large variance-covariance matrix.- 8. The Dampening Effect of Spatial Correlograms.- 8.1 Introduction.- 8.2 The dampening effect.- 8.3 Simulation study.- 8.4 Summary and conclusion.- 9. Conclusion.- Appendices.- A.1 Population, employed and activity rates for local labour markets in Italy in 1981 Census.- A.2 Electricity consumption of Italian manufacturing industry in the first semester of 1985.- A.3 Quadrats counts of houses in Hukuno town, Tonami plain, Japan (Matui, 1932).- A.4 Weights of wheat plots of grain (Mercera Hall, 1911).- A.5 Simulation methods in two dimensions.- References.