<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="fr">
<Esri>
<CreaDate>20250227</CreaDate>
<CreaTime>14252600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">plub_evp</itemName>
<nativeExtBox>
<westBL Sync="TRUE">645348.867000</westBL>
<eastBL Sync="TRUE">659357.884300</eastBL>
<southBL Sync="TRUE">6857640.038000</southBL>
<northBL Sync="TRUE">6866951.722000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">002</imsContentType>
</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/10.8'&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;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&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>20250214</SyncDate>
<SyncTime>15291800</SyncTime>
<ModDate>20250214</ModDate>
<ModTime>15291800</ModTime>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAeAB4AAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
<dataIdInfo>
<idPurp>Prescription localisée du Plan Local d'Urbanisme de Paris : Espace vert protégé
Version votée par le Conseil de Paris le 20 novembre 2024</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Les documents graphiques du règlement repèrent par une trame verte des espaces verts protégés. Ces espaces doivent être végétalisés et de pleine terre. Les constructions neuves et les extensions n’y sont pas admises. Toute intervention sur un espace vert protégé doit maintenir ou améliorer ses qualités écologiques, paysagères, végétales ou arboricoles. Les arbres existants doivent être conservés&lt;/SPAN&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Cette couche contient la géométrie de ces espaces.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Champs :&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;n_sq_&lt;/SPAN&gt;&lt;SPAN&gt;e&lt;/SPAN&gt;&lt;SPAN&gt;vp&lt;/SPAN&gt;&lt;SPAN&gt;: numéro unique &lt;/SPAN&gt;&lt;SPAN&gt;du &lt;/SPAN&gt;&lt;SPAN&gt;polygone&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;n_sq_ca&lt;/SPAN&gt;&lt;SPAN&gt;: &lt;/SPAN&gt;&lt;SPAN&gt;numéro de l'arrondissement&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Ville de Paris / Direction de l'Urbanisme / SEISUR / BDPC</idCredit>
<searchKeys>
<keyword>PLU</keyword>
<keyword>Espace vert protégé</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Echelle &lt;/SPAN&gt;&lt;SPAN&gt;du plan réglementaire utilisant cette donnée&lt;/SPAN&gt;&lt;SPAN&gt;: 1/&lt;/SPAN&gt;&lt;SPAN&gt;2000&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="fra"/>
<countryCode Sync="TRUE" value="FRA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Espace vert protégé</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">2.254532</westBL>
<eastBL Sync="TRUE">2.446505</eastBL>
<northBL Sync="TRUE">48.901284</northBL>
<southBL Sync="TRUE">48.816509</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
</dataIdInfo>
<eainfo>
<detailed Name="plub_evp">
<enttyp>
<enttypl Sync="FALSE">plub_evp</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">3038</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">Shape</attrlabl>
<attalias Sync="TRUE">shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</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">N_SQ_CA</attrlabl>
<attalias Sync="TRUE">N_SQ_CA</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">n_sq_evp</attrlabl>
<attalias Sync="TRUE">n_sq_evp</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">st_area(shape)</attrlabl>
<attalias Sync="TRUE">st_area(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">st_perimeter(shape)</attrlabl>
<attalias Sync="TRUE">st_perimeter(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdLang>
<languageCode Sync="TRUE" value="fra"/>
<countryCode Sync="TRUE" value="FRA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="FALSE"/>
</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="plub_evp">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">3038</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="plub_evp">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">3038</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdDateSt Sync="TRUE">20250214</mdDateSt>
</metadata>
