<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250225</CreaDate>
<CreaTime>13075800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20250225" Time="130758" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass E:\DB\Signs_Regulations_DB.gdb\Field_Data Urban_Character_Zones Polygon # No Yes "PROJCS["WGS_1984_UTM_Zone_37N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",39.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]];-5120900 -9998100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # #</Process>
<Process Date="20250225" Time="130758" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema E:\DB\Signs_Regulations_DB.gdb\Field_Data\Urban_Character_Zones &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Classification&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Description&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20250225" Time="130801" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema E:\DB\Signs_Regulations_DB.gdb\Field_Data\Urban_Character_Zones &lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;OBJECTID&lt;/field_name&gt;&lt;field_alias&gt;OBJECTID&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;SHAPE&lt;/field_name&gt;&lt;field_alias&gt;SHAPE&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20250225" Time="131158" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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;FeatureDataset&gt;Field_Data&lt;/FeatureDataset&gt;&lt;WorkspaceConnectionString&gt;DATABASE=E:\DB\Signs_Regulations_DB.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Urban_Character_Zones&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMFeatureDatasetDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AssignDomainToField&gt;&lt;field_name&gt;Classification&lt;/field_name&gt;&lt;domain_name&gt;Urban_characters&lt;/domain_name&gt;&lt;/AssignDomainToField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Urban_Character_Zones</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
