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Generalizing Ripley's K function to inhomogeneous populations

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  • Eric Marcon

    (ECOFOG - Ecologie des forêts de Guyane - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - UAG - Université des Antilles et de la Guyane - AgroParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Florence Puech

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

In spatial statistics, Ripley's K function (Ripley, 1977) is a classical tool to analyse spatial point patterns. Yet, it faces two major limits: it is only pertinent for homogeneous point processes and it does not allow the weighting of points.We generalize it to get a new function, M, which oversteps these limits and detects spatial structures of inhomogeneous populations of weighted points.

Suggested Citation

  • Eric Marcon & Florence Puech, 2009. "Generalizing Ripley's K function to inhomogeneous populations," Working Papers halshs-00372631, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00372631
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00372631
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    References listed on IDEAS

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    2. HAMIDOUCHE M’hamed & BOURCHID ABDELKADER Salim, 2020. "Concentration of Economic Activities in the Kingdom of Saudi Arabia," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.

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