An equation by any other name is still the same: on spatial econometrics and spatial statistics |
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Authors: | Daniel A Griffith Jean H P Paelinck |
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Affiliation: | (1) Ashbel Smith Professor, School of Social Sciences, University of Texas at Dallas, Richardson, TX 75083-0688, USA;(2) School of Public Policy, George Mason University, Fairfax, VA, USA |
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Abstract: | Statistics is a branch of mathematics concerned with the collection, quantification, analysis, interpretation, and presentation
of real-world data, and the use of probability theory to estimate population parameters with these data. Spatial statistics is a subset of statistics that is concerned with handling the special problems associated with geographically distributed
data, which include spatial point patterns, regional and lattice measurement aggregations, irregularly spaced site-specific
measurements on a surface, and image analysis. Meanwhile, econometrics is concerned with the application of statistical methods
to the study of economic data and problems. When coining the term spatial econometrics in 1979, Paelinck and Klaassen characterized it as a subset of econometrics that is concerned with the role of spatial dependence
in regional economic model response and explanatory variables, asymmetries in spatial relationships, the specification of
geographic structure governing spatial interactions, and the explicit modeling of space. We outline and discuss principal
similarities (e.g., testing for the presence of spatial autocorrelation) and differences (e.g., map generalization) between
spatial statistics and spatial econometrics. In doing so, our goal is to help clarify past, present, and future relationships
between these two subfields. |
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Keywords: | F43 O30 R12 |
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