<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="el">
<Esri>
<CreaDate>20240303</CreaDate>
<CreaTime>10560000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20240303" Time="105600" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass "D:\Education\MSc Geography &amp; Applied Geoinformatics\Thesis\Thesis Data\Thesis\Thesis.gdb" lonlat_XYTableToPoint Point 'lon lat.txt' No No "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 #</Process>
<Process Date="20240303" Time="105615" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\XYTableToPoint">XYTableToPoint "lon lat.txt" "D:\Education\MSc Geography &amp; Applied Geoinformatics\Thesis\Thesis Data\Thesis\Thesis.gdb\lonlat_XYTableToPoint" # Field2 # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision"</Process>
<Process Date="20240303" Time="105821" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures lonlat_XYTableToPoint "D:\Education\MSc Geography &amp; Applied Geoinformatics\Thesis\Thesis Data\Shapefiles\lon_lat_Europe.shp" # NOT_USE_ALIAS "F_ "#" true true false 8 Double 0 0,First,#,lonlat_XYTableToPoint,F_,-1,-1;Field2 "Field2" true true false 8 Double 0 0,First,#,lonlat_XYTableToPoint,Field2,-1,-1;Field3 "Field3" true true false 8 Double 0 0,First,#,lonlat_XYTableToPoint,Field3,-1,-1;lon "lon" true true false 8000 Text 0 0,First,#,lonlat_XYTableToPoint,lon,0,8000;Field5 "Field5" true true false 8000 Text 0 0,First,#,lonlat_XYTableToPoint,Field5,0,8000;Field6 "Field6" true true false 8000 Text 0 0,First,#,lonlat_XYTableToPoint,Field6,0,8000;Field7 "Field7" true true false 8000 Text 0 0,First,#,lonlat_XYTableToPoint,Field7,0,8000;lat "lat" true true false 8000 Text 0 0,First,#,lonlat_XYTableToPoint,lat,0,8000;Field9 "Field9" true true false 8000 Text 0 0,First,#,lonlat_XYTableToPoint,Field9,0,8000" #</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">lon_lat_Europe</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
<itemLocation>
<linkage Sync="TRUE">file://\\DJOWINDOWSMAC\D$\Education\MSc Geography &amp; Applied Geoinformatics\Thesis\Thesis Data\Shapefiles\lon_lat_Europe.shp</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/3.0.0'&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;11258999068426.238&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>
</DataProperties>
<SyncDate>20240303</SyncDate>
<SyncTime>10575100</SyncTime>
<ModDate>20240303</ModDate>
<ModTime>10575100</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.0.3.36057</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="ell"/>
<countryCode Sync="TRUE" value="GRC"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">lon_lat_Europe</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="ell"/>
<countryCode Sync="TRUE" value="GRC"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Shapefile</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</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="lon_lat_Europe">
<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="lon_lat_Europe">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">FALSE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="lon_lat_Europe">
<enttyp>
<enttypl Sync="TRUE">lon_lat_Europe</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">FID</attrlabl>
<attalias Sync="TRUE">FID</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">F_</attrlabl>
<attalias Sync="TRUE">F_</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Field2</attrlabl>
<attalias Sync="TRUE">Field2</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Field3</attrlabl>
<attalias Sync="TRUE">Field3</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">lon</attrlabl>
<attalias Sync="TRUE">lon</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">Field5</attrlabl>
<attalias Sync="TRUE">Field5</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">Field6</attrlabl>
<attalias Sync="TRUE">Field6</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">Field7</attrlabl>
<attalias Sync="TRUE">Field7</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">lat</attrlabl>
<attalias Sync="TRUE">lat</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">Field9</attrlabl>
<attalias Sync="TRUE">Field9</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20240303</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
</Thumbnail>
</Binary>
</metadata>
