<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260627</CreaDate>
<CreaTime>14242100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>La digitalisation des points d'eau Grange a été obtenue par l'identification minutieuse sur le plan raster de 1896-1911 des fontaines, des puits et des pompes. Cette identification a été complétée par la superposition des couches BILLON_EAU_POTABLE et CEARD_EAU_POTABLE sur le plan raster de Grange et par comparaison des objets entre eux selon la méthode régressive. Ainsi, tous les points d'eau présentant la même géométrie que ceux issus des couches CEARD_EAU_POTABLE ou BILLON_EAU_POTABLE ont été récupérées depuis celles-ci et ceux exprimant une différence partielle ou totale ont été digitalisés sur la base du plan Grange. Les symboles retenus sont le triangle pour les fontaines, la sphère pour les puits et le carré pour les pompes.&lt;br /&gt;&lt;br /&gt;Cette couche a été créée en 2013 par Monsieur Abou Ba dans le cadre d'une convention de stage passée avec le département de Géographie de l'Université de Genève pour le Certificat complémentaire en Géomatique.</idAbs>
<searchKeys>
<keyword>Cadastre</keyword>
<keyword>aménagement</keyword>
<keyword>Constructions et ouvrages</keyword>
<keyword>Eaux intérieures</keyword>
<keyword>Société</keyword>
</searchKeys>
<idPurp>Points d'eau Grange (1896-1911)</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Points d'eau Grange (1896-1911)</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
