20190626 14392300 1.0 TRUE UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.3.0'><WorkspaceConnectionString>DATABASE=M:\Projects\CommunityDevelopment\CommunityDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ValuePerAcre2019MapIDSumm</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>GARBAGE</field_name><field_name>RECYCLING</field_name><field_name>ALDERMANIC</field_name><field_name>WARD</field_name><field_name>CONDO</field_name><field_name>OBJECTID_1</field_name><field_name>MAPID_1</field_name><field_name>Cnt_MAPID</field_name><field_name>First_PropAddress</field_name></DeleteField></workflow></operationSequence> CalculateField 2019 TAXKEY !First_TAXKEY! "Python 3" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.3.0'><WorkspaceConnectionString>DATABASE=M:\Projects\CommunityDevelopment\CommunityDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ValuePerAcre2019MapIDSumm</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>CONDO</field_name><field_type>TEXT</field_type><field_length>5</field_length><field_alias>Condo</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField 2019 CONDO !First_CONDO! "Python 3" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.3.0'><WorkspaceConnectionString>DATABASE=M:\Projects\CommunityDevelopment\CommunityDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ValuePerAcre2019MapIDSumm</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>First_CONDO</field_name></DeleteField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.3.0'><WorkspaceConnectionString>DATABASE=M:\Projects\CommunityDevelopment\CommunityDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ValuePerAcre2019MapIDSumm</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>MAP_ID</field_name></DeleteField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.3.0'><WorkspaceConnectionString>DATABASE=M:\Projects\CommunityDevelopment\CommunityDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ValuePerAcre2019MapIDSumm</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>VALUEPERACRE</field_name><field_type>FLOAT</field_type><field_alias>ValuePerAcre</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField 2019 VALUEPERACRE "!Sum_AssessedTotalValue! / !GISACRES!" "Python 3" # Community Development CD Community Development Value per Acre Value Acre Parcel 2019 The value per acre of land for each parcel in the City of Waukesha was calculated with current GIS parcel data and assessment data. This data does not include parcels that are exempt from assessments. Analysis done in June 2019. Created for Community Development by the the City of Waukesha GIS in Public Works. Map 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