Metaspace: From a Model of Spatial Contiguity to the Conceptualization of Space in Geo-Analyses
نویسنده
چکیده
Admittedly the most crucial and the most neglected aspect of the spatial regression analysis, spatial contiguity remains an ambiguous concept that is largely dependent on the type of spatial units used and the characteristics of each application. The application of regression analysis to spatial data raises computational as well as conceptual issues. Computational issues consist in statistical inefficiency, which is introduced in the model through the property of spatial dependence, inherent to spatial data. The solution of the statistical inefficiency requires the specification of a spatial autocorrelation model, to which an endogenous approach is proposed. Despite its technical simplicity, the method encompasses conceptual implications that impact on the underlying conceptualization of space: metaspace emerges as a relative in a conscious effort of the human brain of conceptualizing space according to its analytical needs. Metaspace is populated with metaentities: geometric primitives and their attributes; understanding its properties is fundamental, because metaspace is the realm of spatial analysis, GIS, and geocomputation.
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