GeoDa空间数据分析介绍(英文版).pdfVIP

An Introduction to Spatial Autocorrelation Analysis with GeoDa Luc Anselin Spatial Analysis Laboratory Department of Agricultural and Consumer Economics University of Illinois, Urbana-Champaign / June 16, 2003 Introduction This is a quick tour of GeoDa, illustrating its main features for analyzing and visualizing spatial autocorrelation. It assumes very little, and should be doable “out of the box” without having to refer to more extensive information. It assumes you are familiar with the technical concepts related to spatial autocorrelation analysis, and with the basic operation of GeoDa, as covered in the Introduction to EDA with GeoDa document. It does not replace the User’s Guide. This note refers to GeoDa 0.9.3., June 4, 2003. To get started, load the SIDS shape file and make sure the rate variables SIDR74 and SIDR79 have been constructed. Also, start a second instance of GeoDa with the St Louis homicide data set. Refer to the Introduction to EDA with GeoDa document for details. Constructing Spatial Weights The first step in the analysis of spatial autocorrelation is to construct a spatial weights file that contains information on the “neighborhood” structure for each location. GeoDa has many ways to create spatial weights. For now, only simple first order contiguity weights will be considered. You start the process by selecting Weights Create from the Tools menu (Figure 1), or by clicking on the Create Weights button on the toolbar (Figure 2). Note that the Tools menu can also be invoked without having a project open, allowing the creation of weights files for use in programs other than GeoDa. Figure 1. Weights creation by means of the Tools Menu. Figure 2. Weights creation by means of the toolbar button.