Abstract
This is the second part of a two part paper; the first part reviewed the methodology of quadrat analysis and in this part, two case studies are presented. A brief introduction outlines the spatial structure of retailing in urban areas and it is then demonstrated how compound and generalized distributions offer a variety of models that can be fitted to empirical data about retail spatial structure. The empirical tests use data from Ljubljana, Yugoslavia and San Francisco, California. Conclusions are drawn which relate to the description, analysis and sampling of intra-urban retail spatial dispersions.
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