Critics of spatial modeling make several damaging points: (1) results are often trivial; (2) they contradict a priori insights derived from theory or experience; and (3) they preclude an evaluation of the substantive coherence of theories. These critiques arise because analysts have selected criteria of statistical explanation over substantive interpretation. This paper reviews the trade-off as exemplified by regression models. The paper then presents an alternative methodology, staged regression analysis, and discusses its three-fold advantage over traditional regression models: (1) avoiding statistical-substantive trade-offs;(2) facilitating comparisons among spatial systems; and (3) evaluating and refining existing theory.
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