<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="fr">
<Esri>
<CreaDate>20210127</CreaDate>
<CreaTime>11203000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">TRA_RTE_ABRIBUS</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">790369.783200</westBL>
<eastBL Sync="TRUE">825729.590000</eastBL>
<southBL Sync="TRUE">6286841.446500</southBL>
<northBL Sync="TRUE">6320511.990000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_RGF_1993</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">RGF_1993_Lambert_93</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;RGF_1993_Lambert_93&amp;quot;,GEOGCS[&amp;quot;GCS_RGF_1993&amp;quot;,DATUM[&amp;quot;D_RGF_1993&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,700000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,6600000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,3.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,44.0],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,49.0],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,46.5],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,2154]]&lt;/WKT&gt;&lt;XOrigin&gt;-35597500&lt;/XOrigin&gt;&lt;YOrigin&gt;-23641900&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102110&lt;/WKID&gt;&lt;LatestWKID&gt;2154&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20230417</SyncDate>
<SyncTime>10392100</SyncTime>
<ModDate>20230417</ModDate>
<ModTime>10560300</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.0.4.36057</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="fra"/>
<countryCode Sync="TRUE" value="FRA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Abribus</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">4.120364</westBL>
<eastBL Sync="TRUE">4.566923</eastBL>
<northBL Sync="TRUE">43.977809</northBL>
<southBL Sync="TRUE">43.669443</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>Couche ponctuelle des Abribus sur le Territoire de Nîmes Métropole.
Mise à jour par la direction mobilité de Nîmes Métropole.
- Nbre Abrisbus
- Marque
- Etat
- Panneau publicitaire
Dernière mise à jour Avril 2023</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Couche ponctuelle des Abribus sur le Territoire de Nîmes Métropole.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Mise à jour par la direction mobilité de Nîmes Métropole.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;- Nbre Abrisbus&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;- Marque&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;- Etat&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;- Panneau publicitaire&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Dernière mise à jour Avril 2023 - Nathalie CALBA/Nîmes Métropole&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Direction de la Mobilité de Nîmes Métropole/Nîmes Métropole</idCredit>
<searchKeys>
<keyword>Transports</keyword>
<keyword>Arrêt de Bus</keyword>
<keyword>Abribus</keyword>
</searchKeys>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="fra"/>
<countryCode Sync="TRUE" value="FRA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Classe d’entités de géodatabase d'entreprise</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2154"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.7(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="TRA_RTE_ABRIBUS">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="TRA_RTE_ABRIBUS">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="TRA_RTE_ABRIBUS">
<enttyp>
<enttypl Sync="FALSE">TRA_RTE_ABRIBUS</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">ID_ARRET</attrlabl>
<attalias Sync="TRUE">Identifiant de l'Arrêt</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COMMUNE</attrlabl>
<attalias Sync="TRUE">Commune</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NOM</attrlabl>
<attalias Sync="TRUE">Nom de l'Arrêt</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SENS</attrlabl>
<attalias Sync="TRUE">Sens</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">POI_ADRESSE</attrlabl>
<attalias Sync="TRUE">Adresse</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ACCESSIBLE</attrlabl>
<attalias Sync="TRUE">Accessible</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">DATE_TRAVA</attrlabl>
<attalias Sync="TRUE">Date des travaux</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">VOIE</attrlabl>
<attalias Sync="TRUE">Voie</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COMMENTAIR</attrlabl>
<attalias Sync="TRUE">Commentaire</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COMMERCIAL</attrlabl>
<attalias Sync="TRUE">Commercial</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SCOLAIRES</attrlabl>
<attalias Sync="TRUE">Scolaires</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TOTAL</attrlabl>
<attalias Sync="TRUE">Total</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">X_RGF93</attrlabl>
<attalias Sync="TRUE">X_L93</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Y_RGF93</attrlabl>
<attalias Sync="TRUE">Y_L93</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TYPE</attrlabl>
<attalias Sync="TRUE">TYPE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE</attrlabl>
<attalias Sync="TRUE">SHAPE</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">NB_ABRI</attrlabl>
<attalias Sync="TRUE">Nbre Abri</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MARQUE_ABRI</attrlabl>
<attalias Sync="TRUE">Marque</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ETAT_ABRI</attrlabl>
<attalias Sync="TRUE">Etat</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PROPRIETAIRE_ABRI</attrlabl>
<attalias Sync="TRUE">Propriétaire de l'Abri</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">INFO_ABRI</attrlabl>
<attalias Sync="TRUE">Info</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PUB_ABRI</attrlabl>
<attalias Sync="TRUE">Panneau Pub</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20230417</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
