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          <dc:title>Spatial Periodicity Analysis of Urban Elements Application to the Ancient City of Amida (Short Paper)</dc:title>
          <dc:creator>Girres, Jean-François</dc:creator>
          <dc:creator>Assenat, Martine</dc:creator>
          <dc:creator>Ralite, Robin</dc:creator>
          <dc:creator>Ribo-Delissey, Ester</dc:creator>
          <dc:subject>Spatial analysis</dc:subject>
          <dc:subject>Periodicity</dc:subject>
          <dc:subject>Urban structures</dc:subject>
          <dc:subject>Archeology</dc:subject>
          <dc:description>The characterization of urban structures using morphological indicators is the subject of many applications in the domains of urban planning and transport, but also in less traditional disciplines, such as urban archeology. When reading actual urban plans, it may be possible to identify relics of ancient cities, and to characterize them with the help of appropriate indicators. In this context, we propose a method for the characterization of the spacing between urban elements based on the analysis of their spatial periodicity. The purpose of this method is to detect specific distances in the actual urban structure, potentially characteristic of ancient measurement units. This method is implemented in a GIS software, to facilitate its use by historians and archeologists, and is illustrated by an application on the ancient roman city of Amida (Diyarbakir, Turkey).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jean-François Girres and Martine Assenat and Robin Ralite and Ester Ribo-Delissey</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.GISCIENCE.2018.29</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-93577</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.29</dc:identifier>
          <dc:language>eng</dc:language>
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