GIS and modeling prerequisites

  • Arthur Getis
Scales in Geographic Space
Part of the Lecture Notes in Computer Science book series (LNCS, volume 716)


In this paper structural elements are identified for the preparation of GIS-based data for use in econometric or statistical modeling. These elements include the need to know about the special characteristics of spatial data, such as map scale, spatial dependence, spatial variance heterogeneity and spatial trend heterogeneity, and the usual problems faced by modelers, such as nonspherical disturbances, stationarity of data, heteroscedasticity, and temporally and spatially autocorrelated disturbances. Detective work proceeds on the basis of the varying structures implied by the cross product statistic. These include measures of spatial differences, covariance, and interaction, and the exploratory data analysis functions included in the S-Plus statistical package.


Geographic Information System Spatial Data Spatial Unit Exploratory Data Analysis Confirmatory Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Arthur Getis
    • 1
  1. 1.Department of GeographySan Diego State UniversitySan Diego

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