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<datestamp>2018-01-11</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>A typology of distance-based measures of spatial concentration</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 - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Université Paris-Saclay</contributor>
<source>ISSN: 0166-0462</source>
<source>Regional Science and Urban Economics</source>
<publisher>Elsevier</publisher>
<identifier>hal-01606265</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01606265</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01606265</source>
<source>Regional Science and Urban Economics, Elsevier, 2017, 62, pp.56-67. 〈10.1016/j.regsciurbeco.2016.10.004〉</source>
<identifier>DOI : 10.1016/j.regsciurbeco.2016.10.004</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.regsciurbeco.2016.10.004</relation>
<identifier>PRODINRA : 407314</identifier>
<language>en</language>
<subject lang=en>spatial concentration</subject>
<subject lang=en>aggregation</subject>
<subject lang=en>point patterns</subject>
<subject lang=en>agglomeration</subject>
<subject lang=en>economic geography</subject>
<subject>[SDV] Life Sciences [q-bio]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Over the last decades 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.</description>
<date>2017</date>
</dc>
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