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This study introduces two new measures of spatial concentration. The proposed M functions constitute an extension to Ripley's functions (Ripley, 1976(Ripley, , 1977. They allow the evaluation of the relative geographic concentration and co-location of industries in a non-homogeneous spatial framework. Some rigorous comparisons with similar recently developed tools prove the relevance of the M functions in the field of spatial economics. JEL Classification: C40, C60, R12, L60

To cite this version:Eric Marcon, Florence Puech. A typology of distance-based measures of spatial concentration. 2012. halshs-00679993v6Hal 00679993v6 A Typology of Distance-Based Measures of Spatial ConcentrationEric Marcon 1 , Florence Puech 2 * Abstract Over the last decade, distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework.JEL Classification: C10, C60, R12