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<publisher>HAL CCSD</publisher>
<title lang=en>Generalizing Ripley's K function to inhomogeneous populations</title>
<creator>Marcon, Eric</creator>
<creator>Puech, Florence</creator>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Laboratoire d'économie des transports (LET) ; Université Lumière - Lyon 2 (UL2) - École Nationale des Travaux Publics de l'État (ENTPE) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<identifier>halshs-00372631</identifier>
<identifier>https://halshs.archives-ouvertes.fr/halshs-00372631</identifier>
<identifier>https://halshs.archives-ouvertes.fr/halshs-00372631/document</identifier>
<identifier>https://halshs.archives-ouvertes.fr/halshs-00372631/file/HAL_Marcon_Puech_-_GeneralizingRipleysKFunctiontoInhomogeneousPopulations.pdf</identifier>
<source>https://halshs.archives-ouvertes.fr/halshs-00372631</source>
<source>2009</source>
<language>en</language>
<subject lang=en>Spatial statistics</subject>
<subject lang=en>point processes</subject>
<subject lang=en>Ripley</subject>
<subject>[SHS.ECO] Humanities and Social Sciences/Economies and finances</subject>
<subject>[SDV.EE] Life Sciences [q-bio]/Ecology, environment</subject>
<type>info:eu-repo/semantics/preprint</type>
<type>Preprints, Working Papers, ...</type>
<description lang=en>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.<br />We generalize it to get a new function, M, which oversteps these limits and detects spatial structures of inhomogeneous populations of weighted points.</description>
<date>2009-04-01</date>
</dc>
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