<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240229</CreaDate>
<CreaTime>09513900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">AUB_Trees</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\HRG305BKM9H63\Users\bruno\Documents\ArcGIS\Projects\Beirut\Beirut.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.1.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;999999999.99999988&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;8.983152841195215e-09&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;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20240229" Time="095141" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures AUB_Trees C:\Users\bruno\Documents\ArcGIS\Projects\Beirut\Beirut.gdb\AUB_Trees # # # #</Process>
</lineage>
</DataProperties>
<SyncDate>20240229</SyncDate>
<SyncTime>09513900</SyncTime>
<ModDate>20240229</ModDate>
<ModTime>09513900</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.1.2.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">AUB_Trees</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4326"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="AUB_Trees">
<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="AUB_Trees">
<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="AUB_Trees">
<enttyp>
<enttypl Sync="TRUE">AUB_Trees</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">0</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">0</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">AUBotanic_Trees_Shapefile_Arabi</attrlabl>
<attalias Sync="TRUE">ArabicName</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">name_short</attrlabl>
<attalias Sync="TRUE">name_short</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">species</attrlabl>
<attalias Sync="TRUE">species</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">type</attrlabl>
<attalias Sync="TRUE">type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">tree_shape</attrlabl>
<attalias Sync="TRUE">shape</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">average_height</attrlabl>
<attalias Sync="TRUE">Average height</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">symbology</attrlabl>
<attalias Sync="TRUE">symbology</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">rotation</attrlabl>
<attalias Sync="TRUE">rotation</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">height</attrlabl>
<attalias Sync="TRUE">height</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20240229</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==</Data>
</Thumbnail>
</Binary>
</metadata>
