<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260210</CreaDate>
<CreaTime>18384400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<LyrxDate>2025-01-15T09:36:43.735351+00:00</LyrxDate>
</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 / aménagement</keyword>
<keyword>Constructions et ouvrages</keyword>
<keyword>Eaux intérieures</keyword>
<keyword>Société</keyword>
<keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
<keyword>190_PUBLISHVECTORS_2e27ed5d25594a27948d105a3ff3fe97</keyword>
</searchKeys>
<idPurp>Points d'eau Grange (1896-1911)</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre</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>
