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<title lang=en>Tools to characterize point patterns: dbmss for R</title>
<creator>Marcon, Eric</creator>
<creator>Traissac, Stephane</creator>
<creator>Puech, Florence</creator>
<creator>Lang, Gabriel</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 - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<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>Réseaux Innovation Territoires et Mondialisation (RITM) ; Université Paris-Sud - Paris 11 (UP11)</contributor>
<contributor>Mathématiques et Informatique Appliquées (MIA-Paris) ; Institut National de la Recherche Agronomique (INRA) - AgroParisTech</contributor>
<description>International audience</description>
<source>ISSN: 1548-7660</source>
<source>Journal of Statistical Software</source>
<publisher>University of California, Los Angeles</publisher>
<identifier>hal-01498361</identifier>
<identifier>https://hal-agroparistech.archives-ouvertes.fr/hal-01498361</identifier>
<source>https://hal-agroparistech.archives-ouvertes.fr/hal-01498361</source>
<source>Journal of Statistical Software, University of California, Los Angeles, 2015, 67 (3), pp.2-15. 〈10.18637/jss.v067.c03〉</source>
<identifier>DOI : 10.18637/jss.v067.c03</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.18637/jss.v067.c03</relation>
<language>en</language>
<subject lang=en>point patterns </subject>
<subject lang=en> spatial structure </subject>
<subject lang=en> R</subject>
<subject>[MATH] Mathematics [math]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>The dbmss package for R provides an easy-to-use toolbox to characterize the spatial structure of point patterns. Our contribution presents the state of the art of distance-based methods employed in economic geography and which are also used in ecology. Topographic functions such as Ripley’s K, absolute functions such as Duranton and Overman’s Kd and relative functions such as Marcon and Puech’s M are implemented. Their confidence envelopes (including global ones) and tests against counterfactuals are included in the package</description>
<date>2015-01-02</date>
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