<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20260221</CreaDate>
    <CreaTime>07585200</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idAbs>Les agglomérations ont été définies en 2012 par l'Office fédéral de la statistique (OFS) à partir des données 2012 en fonction de critères statistiques, afin de permettre la comparaison spatiale entre des espaces urbains.&lt;br /&gt;La méthode permettant la définition des agglomérations consiste en une procédure en plusieurs étapes : tout d'abord, la densité de la population, des emplois et des nuitées hôtelières est déterminée dans chaque cellule d'une trame régulière placée sur le territoire suisse afin d'identifier des centres d'agglomération potentiels.&lt;br /&gt;L'utilisation d'une trame régulière permet de limiter au maximum l'influence des frontières institutionnelles historiques.&lt;br /&gt;Les couronnes d'agglomération potentielles sont ensuite déterminées d'après l'intensité des flux pendulaires vers les centres.&lt;br /&gt;Enfin, chaque ensemble formé d'un centre et d'une couronne d'agglomération doit avoir un nombre minimum d'habitants et de nuitées hôtelières pour pouvoir être qualifié d'agglomération.&lt;br /&gt;&lt;br /&gt;La délimitation des agglomérations par l'Office fédéral de la statistique n'a pas de portée juridique.&lt;br /&gt;&lt;br /&gt;Cette classe d'entités est créée à partir de la classe d'entités "AGGLO_COMMUNES", par fusion des "Codes agglomération OFS". Les deux représentations ("Agglomération statistiqueOFS" et "Catégorie commune OFS") ne doivent pas être utilisées séparément.</idAbs>
    <searchKeys>
      <keyword>Cadastre</keyword>
      <keyword>aménagement</keyword>
    </searchKeys>
    <idPurp>Agglo - Périmètres d'agglomération OFS en 2012</idPurp>
    <idCredit>© 2026 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Agglo - Périmètres d'agglomération OFS en 2012</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
