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In developing the statistics of spatial data there is a need for methods in both the areas of data analysis and statistical z modeling. Here we analyze a data set of Sudden Infant Deaths, 1974 -1978, in the counties of North Carolina, using a Markovrandom-field approach to spatial modeling. We model the spatial trend with what we call large-scale-variation parameters, and the variance and spatial dependence with small-scale variation parameters. We show that a combination of resistant trenddoi:10.1080/01621459.1989.10478783 fatcat:3p5rwhxvkfgnrhxlq5wqcdn2fy