Abstract
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.
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© 1993 Springer-Verlag Berlin Heidelberg
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Getis, A. (1993). GIS and modeling prerequisites. In: Frank, A.U., Campari, I. (eds) Spatial Information Theory A Theoretical Basis for GIS. COSIT 1993. Lecture Notes in Computer Science, vol 716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57207-4_22
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DOI: https://doi.org/10.1007/3-540-57207-4_22
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