<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260316</CreaDate>
<CreaTime>08384900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210806" Time="191153" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb Building_Polygons Polygon # No No "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # #</Process>
<Process Date="20210806" Time="191155" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Building_Polygons &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Join_Count&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;Join_Count&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;4&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;TARGET_FID&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;TARGET_FID&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;4&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;FID_V2_Lidar_OSM_MsAI_Inter_DisT&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;FID_V2_Lidar_OSM_MsAI_Inter_DisT&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;4&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;FID_V2_Lidar_OSM_MSAI_SJoin&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;FID_V2_Lidar_OSM_MSAI_SJoin&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;4&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;AREA_SQFT_B&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;AREA_SQFT_B&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;4&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20210806" Time="191157" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Building_Polygons &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="20210806" Time="191448" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append Main_Polygons;Sliver_SpatialJoin Building_Polygons "Use the field map to reconcile field differences" "FID_V2_Lidar_OSM_MsAI_Inter_DisT "FID_V2_Lidar_OSM_MsAI_Inter_DisT" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Main_Polygons,FID_V2_Lidar_OSM_MsAI_Inter_DisT,-1,-1,Sliver_SpatialJoin,FID_V2_Lidar_OSM_MsAI_Inter_DisT,-1,-1;FID_V2_Lidar_OSM_MSAI_SJoin "FID_V2_Lidar_OSM_MSAI_SJoin" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Main_Polygons,FID_V2_Lidar_OSM_MSAI_SJoin,-1,-1,Sliver_SpatialJoin,FID_V2_Lidar_OSM_MSAI_SJoin,-1,-1;AREA_SQFT_B "AREA_SQFT_B" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Main_Polygons,AREA_SQFT_B,-1,-1,Sliver_SpatialJoin,AREA_SQFT_B,-1,-1" # #</Process>
<Process Date="20210806" Time="193655" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append Main_Polygons;Sliver_SpatialJoin E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Building_Polygons "Use the field map to reconcile field differences" "FID_V2_Lidar_OSM_MsAI_Inter_DisT "FID_V2_Lidar_OSM_MsAI_Inter_DisT" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Main_Polygons,FID_V2_Lidar_OSM_MsAI_Inter_DisT,-1,-1,Sliver_SpatialJoin,FID_V2_Lidar_OSM_MsAI_Inter_DisT,-1,-1;FID_V2_Lidar_OSM_MSAI_SJoin "FID_V2_Lidar_OSM_MSAI_SJoin" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Main_Polygons,FID_V2_Lidar_OSM_MSAI_SJoin,-1,-1,Sliver_SpatialJoin,FID_V2_Lidar_OSM_MSAI_SJoin,-1,-1;AREA_SQFT_B "AREA_SQFT_B" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2_lidar_A\V2_lidar_A.gdb\Main_Polygons,AREA_SQFT_B,-1,-1,Sliver_SpatialJoin,AREA_SQFT_B,-1,-1" # #</Process>
<Process Date="20210806" Time="210119" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\PairwiseDissolve">PairwiseDissolve Building_Polygons E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Dis FID_V2_Lidar_OSM_MsAI_Inter_DisT # MULTI_PART</Process>
<Process Date="20210807" Time="093741" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass Building_Poly_Dis E:\Buildings_Footprints\V2\V2fix.gdb Building_Poly_Dis2 # "FID_V2_Lidar_OSM_MsAI_Inter_DisT "FID_V2_Lidar_OSM_MsAI_Inter_DisT" true true false 4 Long 0 0,First,#,Building_Poly_Dis,FID_V2_Lidar_OSM_MsAI_Inter_DisT,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Building_Poly_Dis,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Building_Poly_Dis,Shape_Area,-1,-1" #</Process>
<Process Date="20210807" Time="095325" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append Building_Poly_Singles Building_Poly_Dis2 "Use the field map to reconcile field differences" "FID_V2_Lidar_OSM_MsAI_Inter_DisT "FID_V2_Lidar_OSM_MsAI_Inter_DisT" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Singles,FID_V2_Lidar_OSM_MsAI_Inter_DisT,-1,-1" # #</Process>
<Process Date="20210807" Time="103341" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\MultipartToSinglepart">MultipartToSinglepart Building_Poly_Dis2 E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_SP</Process>
<Process Date="20210807" Time="110736" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass Building_Poly_SP E:\Buildings_Footprints\V2\V2fix.gdb Building_Poly_SP_S # "Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Building_Poly_SP,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Building_Poly_SP,Shape_Area,-1,-1" #</Process>
<Process Date="20210807" Time="140101" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteIdentical">DeleteIdentical Building_Poly_SP_S Shape_Length;Shape_Area # 0</Process>
<Process Date="20210808" Time="081607" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin Building_Poly_SP_S stratmap19_land_parcels_48_S E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoS "Join one to one" KEEP_ALL "prop_id "PROP_ID" true true false 70 Text 0 0,First,#,stratmap19_land_parcels_48_S,prop_id,0,70;geo_id "GEO_ID" true true false 50 Text 0 0,First,#,stratmap19_land_parcels_48_S,geo_id,0,50;legal_desc "LEGAL_DESC" true true false 254 Text 0 0,First,#,stratmap19_land_parcels_48_S,legal_desc,0,254;land_value "LAND_VALUE" true true false 8 Double 0 0,First,#,stratmap19_land_parcels_48_S,land_value,-1,-1;imp_value "IMP_VALUE" true true false 8 Double 0 0,First,#,stratmap19_land_parcels_48_S,imp_value,-1,-1;mkt_value "MKT_VALUE" true true false 8 Double 0 0,First,#,stratmap19_land_parcels_48_S,mkt_value,-1,-1;county "COUNTY" true true false 60 Text 0 0,First,#,stratmap19_land_parcels_48_S,county,0,60;tax_year "TAX_YEAR" true true false 4 Long 0 0,First,#,stratmap19_land_parcels_48_S,tax_year,-1,-1;COUNTY_1 "County Name" true true false 100 Text 0 0,First,#,stratmap19_land_parcels_48_S,COUNTY_1,0,100;USE_CODE_STD_CTGR_DESC_LPS "Land Use Standardized CTGR Description" true true false 100 Text 0 0,First,#,stratmap19_land_parcels_48_S,USE_CODE_STD_CTGR_DESC_LPS,0,100;VAL_ASSD_LAND "Assessment Value Land" true true false 4 Long 0 0,First,#,stratmap19_land_parcels_48_S,VAL_ASSD_LAND,-1,-1;VAL_ASSD_IMPRV "Assessment Value Improvement" true true false 4 Long 0 0,First,#,stratmap19_land_parcels_48_S,VAL_ASSD_IMPRV,-1,-1;VAL_ASSD "Assessment Value" true true false 4 Long 0 0,First,#,stratmap19_land_parcels_48_S,VAL_ASSD,-1,-1;TAX_YEAR_1 "Tax Year" true true false 4 Long 0 0,First,#,stratmap19_land_parcels_48_S,TAX_YEAR_1,-1,-1;BUILDING_SQFT "Building Square Foot" true true false 4 Long 0 0,First,#,stratmap19_land_parcels_48_S,BUILDING_SQFT,-1,-1;STORIES_NUMBER "Number of Stories" true true false 10 Text 0 0,First,#,stratmap19_land_parcels_48_S,STORIES_NUMBER,0,10;Build_Type_County "Build_Type_County" true true false 80 Text 0 0,First,#,stratmap19_land_parcels_48_S,Build_Type_County,0,80" "Have their center in" # #</Process>
<Process Date="20210808" Time="084600" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin Building_Poly_Sp_JoS V2_Lidar_OSM_MSAI_SJoin E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoS_2 "Join one to one" KEEP_ALL "Join_Count "Join_Count" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,Join_Count,-1,-1;TARGET_FID "TARGET_FID" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,TARGET_FID,-1,-1;prop_id "PROP_ID" true true false 70 Text 0 0,First,#,Building_Poly_Sp_JoS,prop_id,0,70;geo_id "GEO_ID" true true false 50 Text 0 0,First,#,Building_Poly_Sp_JoS,geo_id,0,50;legal_desc "LEGAL_DESC" true true false 254 Text 0 0,First,#,Building_Poly_Sp_JoS,legal_desc,0,254;land_value "LAND_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS,land_value,-1,-1;imp_value "IMP_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS,imp_value,-1,-1;mkt_value "MKT_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS,mkt_value,-1,-1;county "COUNTY" true true false 60 Text 0 0,First,#,Building_Poly_Sp_JoS,county,0,60;tax_year "TAX_YEAR" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,tax_year,-1,-1;COUNTY_1 "County Name" true true false 100 Text 0 0,First,#,Building_Poly_Sp_JoS,COUNTY_1,0,100;USE_CODE_STD_CTGR_DESC_LPS "Land Use Standardized CTGR Description" true true false 100 Text 0 0,First,#,Building_Poly_Sp_JoS,USE_CODE_STD_CTGR_DESC_LPS,0,100;VAL_ASSD_LAND "Assessment Value Land" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,VAL_ASSD_LAND,-1,-1;VAL_ASSD_IMPRV "Assessment Value Improvement" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,VAL_ASSD_IMPRV,-1,-1;VAL_ASSD "Assessment Value" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,VAL_ASSD,-1,-1;TAX_YEAR_1 "Tax Year" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,TAX_YEAR_1,-1,-1;BUILDING_SQFT "Building Square Foot" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS,BUILDING_SQFT,-1,-1;STORIES_NUMBER "Number of Stories" true true false 10 Text 0 0,First,#,Building_Poly_Sp_JoS,STORIES_NUMBER,0,10;Build_Type_County "Build_Type_County" true true false 80 Text 0 0,First,#,Building_Poly_Sp_JoS,Build_Type_County,0,80;BLDGHEIGHT "BLDGHEIGHT" true true false 4 Float 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,BLDGHEIGHT,-1,-1;ROOFFORM "ROOFFORM" true true false 255 Text 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,ROOFFORM,0,255;Source "Source" true true false 50 Text 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,Source,0,50;Fraction_of_SQFT "Fraction_of_SQFT" true true false 4 Float 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,Fraction_of_SQFT,-1,-1;Frac_Imp_Val "Frac_Imp_Val" true true false 8 Double 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,Frac_Imp_Val,-1,-1;Method "Method" true true false 20 Text 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,Method,0,20;Damage_Curve "Damage_Curve" true true false 10 Text 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,Damage_Curve,0,10" "Have their center in" # #</Process>
<Process Date="20210808" Time="105936" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append Building_Poly_Sp_JoN_2 Building_Poly_Sp_JoS_2 "Use the field map to reconcile field differences" "Join_Count "Join_Count" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,Join_Count,-1,-1;TARGET_FID "TARGET_FID" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,TARGET_FID,-1,-1;prop_id "PROP_ID" true true false 70 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,prop_id,0,70;geo_id "GEO_ID" true true false 50 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,geo_id,0,50;land_value "LAND_VALUE" true true false 8 Double 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,land_value,-1,-1;imp_value "IMP_VALUE" true true false 8 Double 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,imp_value,-1,-1;mkt_value "MKT_VALUE" true true false 8 Double 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,mkt_value,-1,-1;county "COUNTY" true true false 60 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,county,0,60;tax_year "TAX_YEAR" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,tax_year,-1,-1;COUNTY_1 "County Name" true true false 100 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,COUNTY_1,0,100;USE_CODE_STD_CTGR_DESC_LPS "Land Use Standardized CTGR Description" true true false 100 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,USE_CODE_STD_CTGR_DESC_LPS,0,100;VAL_ASSD_LAND "Assessment Value Land" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,VAL_ASSD_LAND,-1,-1;VAL_ASSD_IMPRV "Assessment Value Improvement" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,VAL_ASSD_IMPRV,-1,-1;VAL_ASSD "Assessment Value" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,VAL_ASSD,-1,-1;TAX_YEAR_1 "Tax Year" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,TAX_YEAR_1,-1,-1;BUILDING_SQFT "Building Square Foot" true true false 4 Long 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,BUILDING_SQFT,-1,-1;STORIES_NUMBER "Number of Stories" true true false 10 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,STORIES_NUMBER,0,10;Build_Type_County "Build_Type_County" true true false 80 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,Build_Type_County,0,80;BLDGHEIGHT "BLDGHEIGHT" true true false 4 Float 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,BLDGHEIGHT,-1,-1;ROOFFORM "ROOFFORM" true true false 255 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,ROOFFORM,0,255;Source "Source" true true false 50 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,Source,0,50;Fraction_of_SQFT "Fraction_of_SQFT" true true false 4 Float 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,Fraction_of_SQFT,-1,-1;Frac_Imp_Val "Frac_Imp_Val" true true false 8 Double 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,Frac_Imp_Val,-1,-1;Method "Method" true true false 20 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,Method,0,20;Damage_Curve "Damage_Curve" true true false 10 Text 0 0,First,#,E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoN_2,Damage_Curve,0,10" # #</Process>
<Process Date="20210808" Time="120543" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.8.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=E:\Buildings_Footprints\V2\V2fix.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Building_Poly_Sp_JoS_2&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;DeleteField&gt;&lt;field_name&gt;Join_Count&lt;/field_name&gt;&lt;field_name&gt;TARGET_FID&lt;/field_name&gt;&lt;field_name&gt;Join_Count_1&lt;/field_name&gt;&lt;field_name&gt;TARGET_FID_1&lt;/field_name&gt;&lt;/DeleteField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Footprint_SQFT&lt;/field_name&gt;&lt;field_type&gt;LONG&lt;/field_type&gt;&lt;field_alias&gt;Footprint_SQFT&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Prop_ID_County&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;50&lt;/field_length&gt;&lt;field_alias&gt;Prop_ID_County&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20210808" Time="121120" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 county !COUNTY_1! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="144645" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes Building_Poly_Sp_JoS_2 "Footprint_SQFT AREA_GEODESIC" # "Square feet (United States)" PROJCS["NAD_1983_NSRS2007_Texas_Centric_Mapping_System_Lambert",GEOGCS["GCS_NAD_1983_NSRS2007",DATUM["D_NAD_1983_NSRS2007",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1500000.0],PARAMETER["False_Northing",5000000.0],PARAMETER["Central_Meridian",-100.0],PARAMETER["Standard_Parallel_1",27.5],PARAMETER["Standard_Parallel_2",35.0],PARAMETER["Latitude_Of_Origin",18.0],UNIT["Meter",1.0]] "Same as input"</Process>
<Process Date="20210808" Time="161931" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT !Footprint_SQFT! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="164630" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT "!Footprint_SQFT! * 1.5" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="164906" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT "!Footprint_SQFT! * 1.5" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="165052" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT "!Footprint_SQFT! * 1.25" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="165546" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT "$feature.Footprint_SQFT * Left($feature.STORIES_NUMBER, 1)" Arcade # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="165900" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT "$feature.Footprint_SQFT * Left($feature.STORIES_NUMBER, 1)" Arcade # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="170121" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT "$feature.Footprint_SQFT * 1.5" Arcade # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="172648" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 BUILDING_SQFT "$feature.Footprint_SQFT * $feature.STORIES_NUMBER" Arcade # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="172851" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 Damage_Curve 139 "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="173050" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_2 prop_id !OBJECTID! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="180147" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin Building_Poly_Sp_JoS_2 txdot-2015-county-generalized_tx E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoS_21 "Join one to one" KEEP_ALL "prop_id "PROP_ID" true true false 70 Text 0 0,First,#,Building_Poly_Sp_JoS_2,prop_id,0,70;geo_id "GEO_ID" true true false 50 Text 0 0,First,#,Building_Poly_Sp_JoS_2,geo_id,0,50;legal_desc "LEGAL_DESC" true true false 254 Text 0 0,First,#,Building_Poly_Sp_JoS_2,legal_desc,0,254;land_value "LAND_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_2,land_value,-1,-1;imp_value "IMP_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_2,imp_value,-1,-1;mkt_value "MKT_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_2,mkt_value,-1,-1;county "COUNTY" true true false 60 Text 0 0,First,#,Building_Poly_Sp_JoS_2,county,0,60;tax_year "TAX_YEAR" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_2,tax_year,-1,-1;COUNTY_1 "County Name" true true false 100 Text 0 0,First,#,Building_Poly_Sp_JoS_2,COUNTY_1,0,100;USE_CODE_STD_CTGR_DESC_LPS "Land Use Standardized CTGR Description" true true false 100 Text 0 0,First,#,Building_Poly_Sp_JoS_2,USE_CODE_STD_CTGR_DESC_LPS,0,100;VAL_ASSD_LAND "Assessment Value Land" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_2,VAL_ASSD_LAND,-1,-1;VAL_ASSD_IMPRV "Assessment Value Improvement" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_2,VAL_ASSD_IMPRV,-1,-1;VAL_ASSD "Assessment Value" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_2,VAL_ASSD,-1,-1;TAX_YEAR_1 "Tax Year" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_2,TAX_YEAR_1,-1,-1;BUILDING_SQFT "Building Square Foot" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_2,BUILDING_SQFT,-1,-1;STORIES_NUMBER "Number of Stories" true true false 10 Text 0 0,First,#,Building_Poly_Sp_JoS_2,STORIES_NUMBER,0,10;Build_Type_County "Build_Type_County" true true false 80 Text 0 0,First,#,Building_Poly_Sp_JoS_2,Build_Type_County,0,80;BLDGHEIGHT "BLDGHEIGHT" true true false 4 Float 0 0,First,#,Building_Poly_Sp_JoS_2,BLDGHEIGHT,-1,-1;ROOFFORM "ROOFFORM" true true false 255 Text 0 0,First,#,Building_Poly_Sp_JoS_2,ROOFFORM,0,255;Source "Source" true true false 50 Text 0 0,First,#,Building_Poly_Sp_JoS_2,Source,0,50;Fraction_of_SQFT "Fraction_of_SQFT" true true false 4 Float 0 0,First,#,Building_Poly_Sp_JoS_2,Fraction_of_SQFT,-1,-1;Frac_Imp_Val "Frac_Imp_Val" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_2,Frac_Imp_Val,-1,-1;Method "Method" true true false 20 Text 0 0,First,#,Building_Poly_Sp_JoS_2,Method,0,20;Damage_Curve "Damage_Curve" true true false 10 Text 0 0,First,#,Building_Poly_Sp_JoS_2,Damage_Curve,0,10;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Building_Poly_Sp_JoS_2,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Building_Poly_Sp_JoS_2,Shape_Area,-1,-1;Footprint_SQFT "Footprint_SQFT" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_2,Footprint_SQFT,-1,-1;Prop_ID_County "Prop_ID_County" true true false 50 Text 0 0,First,#,Building_Poly_Sp_JoS_2,Prop_ID_County,0,50;County_NM "County_NM" true true false 255 Text 0 0,First,#,txdot-2015-county-generalized_tx,CNTY_NM,0,13" "Have their center in" # #</Process>
<Process Date="20210808" Time="183347" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21 county !County_NM! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="183524" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21 Prop_ID_County "!prop_id! + !county!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="183729" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21 Prop_ID_County "Text($feature.prop_id) + $feature.county" Arcade # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="190518" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21 Prop_ID_County "Text($feature.prop_id) + $feature.county" Arcade # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="200601" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin Building_Poly_Sp_JoS_21 V2_Lidar_OSM_MSAI_SJoin E:\Buildings_Footprints\V2\V2fix.gdb\Building_Poly_Sp_JoS_21_Spat1 "Join one to one" KEEP_ALL "prop_id "PROP_ID" true true false 70 Text 0 0,First,#,Building_Poly_Sp_JoS_21,prop_id,0,70;geo_id "GEO_ID" true true false 50 Text 0 0,First,#,Building_Poly_Sp_JoS_21,geo_id,0,50;legal_desc "LEGAL_DESC" true true false 254 Text 0 0,First,#,Building_Poly_Sp_JoS_21,legal_desc,0,254;land_value "LAND_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_21,land_value,-1,-1;imp_value "IMP_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_21,imp_value,-1,-1;mkt_value "MKT_VALUE" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_21,mkt_value,-1,-1;county "COUNTY" true true false 60 Text 0 0,First,#,Building_Poly_Sp_JoS_21,county,0,60;tax_year "TAX_YEAR" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_21,tax_year,-1,-1;COUNTY_1 "County Name" true true false 100 Text 0 0,First,#,Building_Poly_Sp_JoS_21,COUNTY_1,0,100;USE_CODE_STD_CTGR_DESC_LPS "Land Use Standardized CTGR Description" true true false 100 Text 0 0,First,#,Building_Poly_Sp_JoS_21,USE_CODE_STD_CTGR_DESC_LPS,0,100;VAL_ASSD_LAND "Assessment Value Land" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_21,VAL_ASSD_LAND,-1,-1;VAL_ASSD_IMPRV "Assessment Value Improvement" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_21,VAL_ASSD_IMPRV,-1,-1;VAL_ASSD "Assessment Value" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_21,VAL_ASSD,-1,-1;TAX_YEAR_1 "Tax Year" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_21,TAX_YEAR_1,-1,-1;BUILDING_SQFT "Building Square Foot" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_21,BUILDING_SQFT,-1,-1;STORIES_NUMBER "Number of Stories" true true false 10 Text 0 0,First,#,Building_Poly_Sp_JoS_21,STORIES_NUMBER,0,10;Build_Type_County "Build_Type_County" true true false 80 Text 0 0,First,#,Building_Poly_Sp_JoS_21,Build_Type_County,0,80;BLDGHEIGHT "BLDGHEIGHT" true true false 4 Float 0 0,First,#,Building_Poly_Sp_JoS_21,BLDGHEIGHT,-1,-1;ROOFFORM "ROOFFORM" true true false 255 Text 0 0,First,#,Building_Poly_Sp_JoS_21,ROOFFORM,0,255;Source "Source" true true false 50 Text 0 0,First,#,Building_Poly_Sp_JoS_21,Source,0,50;Fraction_of_SQFT "Fraction_of_SQFT" true true false 4 Float 0 0,First,#,Building_Poly_Sp_JoS_21,Fraction_of_SQFT,-1,-1;Frac_Imp_Val "Frac_Imp_Val" true true false 8 Double 0 0,First,#,Building_Poly_Sp_JoS_21,Frac_Imp_Val,-1,-1;Method "Method" true true false 20 Text 0 0,First,#,Building_Poly_Sp_JoS_21,Method,0,20;Damage_Curve "Damage_Curve" true true false 10 Text 0 0,First,#,Building_Poly_Sp_JoS_21,Damage_Curve,0,10;Footprint_SQFT "Footprint_SQFT" true true false 4 Long 0 0,First,#,Building_Poly_Sp_JoS_21,Footprint_SQFT,-1,-1;Prop_ID_County "Prop_ID_County" true true false 50 Text 0 0,First,#,Building_Poly_Sp_JoS_21,Prop_ID_County,0,50;Floors "Lidar_Floors" true true false 2 Short 0 0,First,#,V2_Lidar_OSM_MSAI_SJoin,Floors,-1,-1" "Have their center in" # #</Process>
<Process Date="20210808" Time="202959" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 BUILDING_SQFT "!Footprint_SQFT! * !Floors!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="205435" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 BUILDING_SQFT !Footprint_SQFT! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210808" Time="213754" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddIndex">AddIndex "CIMDATA=&lt;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/2.8.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=E:\Buildings_Footprints\V2\V2fix.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Building_Poly_Sp_JoS_21_Spat1&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" Prop_ID_County Prop_ID_County NON_UNIQUE NON_ASCENDING</Process>
<Process Date="20210809" Time="084648" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 imp_value "!BUILDING_SQFT! * 100" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="084714" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 Method "Estimated" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="085151" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Vacant or Unknown' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="090605" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Residential' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="090918" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Commercial' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="091056" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Industrial' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="091253" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Public' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="091402" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Vacant or Unknown ' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="091607" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Vacant or Unknown' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="091744" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 USE_CODE_STD_CTGR_DESC_LPS 'Agricultural' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="093315" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 Frac_Imp_Val "!imp_value! * !Fraction_of_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210809" Time="143635" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Building_Poly_Sp_JoS_21_Spat1 Frac_Imp_Val 120000 "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="111245" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!BUILDING_SQFT! * 71" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="112025" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended BUILDING_SQFT !Footprint_SQFT! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="114231" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!BUILDING_SQFT! * 74" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="115503" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Method 'Estimated' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="131242" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!BUILDING_SQFT! * 60" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="135102" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!Footprint_SQFT! * 96" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="152426" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!Footprint_SQFT! * 98" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="154026" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Method 'Estimated' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="154512" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!Footprint_SQFT! * 100" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="184227" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!Footprint_SQFT! * 54" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="194103" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Method 'E' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="195713" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "1.5 * !Footprint_SQFT! * 52" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="202452" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!Floors! * !Footprint_SQFT! * 51" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="203827" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Method 'Estimated' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="205741" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Method 'Estimated' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="211719" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!Footprint_SQFT! * 39" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210812" Time="213013" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!Footprint_SQFT! * 39 * !Floors!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="111134" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "67.96 * !Footprint_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="113725" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "34.48 * !Footprint_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="121018" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Method 'Estimated' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="121432" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "69.97 * !Footprint_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="122943" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "100 * !Footprint_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="123403" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "100 * !Footprint_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="124001" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "100 * !Footprint_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="130253" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "100 * !Footprint_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="205244" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Prop_ID_County Concatenate($feature.USE_CODE_STD_CTGR_DESC_LPS,'_',$feature.county) Arcade # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210813" Time="213151" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.8.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=E:\Buildings_Footprints\V2\V2fix.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Building_Poly_Sp_JoS_21_Spat1&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;GIS_Floors&lt;/field_name&gt;&lt;field_type&gt;SHORT&lt;/field_type&gt;&lt;field_alias&gt;GIS_Floors&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;GIS_Building_SQFT&lt;/field_name&gt;&lt;field_type&gt;LONG&lt;/field_type&gt;&lt;field_alias&gt;GIS_Building_SQFT&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20210813" Time="214603" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.8.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=E:\Buildings_Footprints\V2\V2fix.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Building_Poly_Sp_JoS_21_Spat1&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;DeleteField&gt;&lt;field_name&gt;GIS_Floors&lt;/field_name&gt;&lt;/DeleteField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;GIS_Floors&lt;/field_name&gt;&lt;field_type&gt;FLOAT&lt;/field_type&gt;&lt;field_alias&gt;Number of floors (GIS)&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20210813" Time="222810" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended GIS_Floors !Floors! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="073259" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Fraction_of_SQFT "!Footprint_SQFT! / 35839" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="073515" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Frac_Imp_Val "!imp_value! * !Fraction_of_SQFT!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="074706" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended GIS_Floors !STORIES_NUMBER! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="075405" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended GIS_Floors !STORIES_NUMBER!.replace('+AB','') "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="075630" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended GIS_Floors !STORIES_NUMBER!.replace('+B','') "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="080002" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended GIS_Floors 1 "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="081151" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended GIS_Building_SQFT !Footprint_SQFT! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="084234" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended GIS_Building_SQFT "!Footprint_SQFT! * !GIS_Floors!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210814" Time="090635" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Method 'Estimated' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210816" Time="081511" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Texas_Buildings4a_Extended Source 'Microsoft AI V1' "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20210816" Time="100008" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass Texas_Buildings4a_Extended S:\Shared\90Temp\Cynthia_Roush\Buildings_Footprints_V2.gdb Texas_Buildings4a_Extended # "Join_Count "Join_Count" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,Join_Count,-1,-1;TARGET_FID "TARGET_FID" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,TARGET_FID,-1,-1;prop_id "PROP_ID" true true false 70 Text 0 0,First,#,Texas_Buildings4a_Extended,prop_id,0,70;geo_id "GEO_ID" true true false 50 Text 0 0,First,#,Texas_Buildings4a_Extended,geo_id,0,50;legal_desc "LEGAL_DESC" true true false 254 Text 0 0,First,#,Texas_Buildings4a_Extended,legal_desc,0,254;land_value "LAND_VALUE" true true false 8 Double 0 0,First,#,Texas_Buildings4a_Extended,land_value,-1,-1;imp_value "IMP_VALUE" true true false 8 Double 0 0,First,#,Texas_Buildings4a_Extended,imp_value,-1,-1;mkt_value "MKT_VALUE" true true false 8 Double 0 0,First,#,Texas_Buildings4a_Extended,mkt_value,-1,-1;county "COUNTY" true true false 60 Text 0 0,First,#,Texas_Buildings4a_Extended,county,0,60;tax_year "TAX_YEAR" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,tax_year,-1,-1;COUNTY_1 "County Name" true true false 100 Text 0 0,First,#,Texas_Buildings4a_Extended,COUNTY_1,0,100;USE_CODE_STD_CTGR_DESC_LPS "Land Use Standardized CTGR Description" true true false 100 Text 0 0,First,#,Texas_Buildings4a_Extended,USE_CODE_STD_CTGR_DESC_LPS,0,100;VAL_ASSD_LAND "Assessment Value Land" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,VAL_ASSD_LAND,-1,-1;VAL_ASSD_IMPRV "Assessment Value Improvement" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,VAL_ASSD_IMPRV,-1,-1;VAL_ASSD "Assessment Value" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,VAL_ASSD,-1,-1;TAX_YEAR_1 "Tax Year" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,TAX_YEAR_1,-1,-1;BUILDING_SQFT "Building Square Foot" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,BUILDING_SQFT,-1,-1;STORIES_NUMBER "Number of Stories" true true false 10 Text 0 0,First,#,Texas_Buildings4a_Extended,STORIES_NUMBER,0,10;Build_Type_County "Build_Type_County" true true false 80 Text 0 0,First,#,Texas_Buildings4a_Extended,Build_Type_County,0,80;BLDGHEIGHT "BLDGHEIGHT" true true false 4 Float 0 0,First,#,Texas_Buildings4a_Extended,BLDGHEIGHT,-1,-1;ROOFFORM "ROOFFORM" true true false 255 Text 0 0,First,#,Texas_Buildings4a_Extended,ROOFFORM,0,255;Source "Source" true true false 50 Text 0 0,First,#,Texas_Buildings4a_Extended,Source,0,50;Fraction_of_SQFT "Fraction_of_SQFT" true true false 4 Float 0 0,First,#,Texas_Buildings4a_Extended,Fraction_of_SQFT,-1,-1;Frac_Imp_Val "Frac_Imp_Val" true true false 8 Double 0 0,First,#,Texas_Buildings4a_Extended,Frac_Imp_Val,-1,-1;Method "Method" true true false 20 Text 0 0,First,#,Texas_Buildings4a_Extended,Method,0,20;Damage_Curve "Damage_Curve" true true false 10 Text 0 0,First,#,Texas_Buildings4a_Extended,Damage_Curve,0,10;Footprint_SQFT "Footprint_SQFT" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,Footprint_SQFT,-1,-1;Prop_ID_County "Prop_ID_County" true true false 50 Text 0 0,First,#,Texas_Buildings4a_Extended,Prop_ID_County,0,50;Floors "Lidar_Floors" true true false 2 Short 0 0,First,#,Texas_Buildings4a_Extended,Floors,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Texas_Buildings4a_Extended,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Texas_Buildings4a_Extended,Shape_Area,-1,-1;GIS_Building_SQFT "GIS_Building_SQFT" true true false 4 Long 0 0,First,#,Texas_Buildings4a_Extended,GIS_Building_SQFT,-1,-1;GIS_Floors "Number of floors (GIS)" true true false 4 Float 0 0,First,#,Texas_Buildings4a_Extended,GIS_Floors,-1,-1" #</Process>
<Process Date="20210816" Time="124854" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.7.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Texas_Buildings4a_Extended&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Temp_Long&lt;/field_name&gt;&lt;field_type&gt;LONG&lt;/field_type&gt;&lt;field_alias&gt;Temp_Long&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20210816" Time="230621" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb TX_Bldgs4a_Ext_ge_500sqft "BUILDING_SQFT &gt;= 500" "Bldg_ID "Bldg_ID" false false true 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,OBJECTID,-1,-1;BLDG_SQFT "BLDG_SQFT" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,GIS_Building_SQFT,-1,-1;FTPRNT_SQFT "FTPRNT_SQFT" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Footprint_SQFT,-1,-1;IMP_VALUE "IMP_VALUE" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,imp_value,-1,-1;USE_CODE "USE_CODE" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,USE_CODE_STD_CTGR_DESC_LPS,0,100;ASSD_IMP "ASSD_IMP" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,VAL_ASSD_IMPRV,-1,-1;BLD_TYPE_CNTY "BLD_TYPE_CNTY" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Build_Type_County,0,80;SRC "SRC" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Source,0,50;FRAC_SQFT "FRAC_SQFT" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Fraction_of_SQFT,-1,-1;FRAC_IMP "FRAC_IMP" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Frac_Imp_Val,-1,-1;IMP_METHOD "IMP_METHOD" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Method,0,20;PARCEL_ID "PARCEL_ID" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Prop_ID_County,0,50;LIDAR_FLOORS "LIDAR_FLOORS" true true false 254 Short 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Footprints_V2.gdb\Texas_Buildings4a_Extended,Floors,-1,-1" #</Process>
<Process Date="20210816" Time="232900" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft SQFT_MULT !BLDG_SQFT!/!FTPRNT_SQFT! "Python 3" # "Float (single precision)"</Process>
<Process Date="20210816" Time="234347" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03 C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft "Join one to one" KEEP_COMMON "Bldg_ID "Bldg_ID" true false false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,Bldg_ID,-1,-1;BLDG_SQFT "BLDG_SQFT" true true false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,BLDG_SQFT,-1,-1;FTPRNT_SQFT "FTPRNT_SQFT" true true false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,FTPRNT_SQFT,-1,-1;IMP_VALUE "IMP_VALUE" true true false 4 Float 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,IMP_VALUE,-1,-1;USE_CODE "USE_CODE" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,USE_CODE,0,254;ASSD_IMP "ASSD_IMP" true true false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,ASSD_IMP,-1,-1;BLD_TYPE_CNTY "BLD_TYPE_CNTY" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,BLD_TYPE_CNTY,0,254;SRC "SRC" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,SRC,0,254;FRAC_SQFT "FRAC_SQFT" true true false 4 Float 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,FRAC_SQFT,-1,-1;FRAC_IMP "FRAC_IMP" true true false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,FRAC_IMP,-1,-1;IMP_METHOD "IMP_METHOD" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,IMP_METHOD,0,254;PARCEL_ID "PARCEL_ID" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,PARCEL_ID,0,254;LIDAR_FLOORS "LIDAR_FLOORS" true true false 2 Short 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,LIDAR_FLOORS,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,Shape_Area,-1,-1;SQFT_MULT "SQFT_MULT" true true false 4 Float 0 0,First,#,C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\TX_Bldgs4a_Ext_ge_500sqft,SQFT_MULT,-1,-1;RFPG_NAME "RFPG_NAME" true true false 50 Text 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,RFPG_NAME,0,50;RFPG_NUM "RFPG_NUM" true true false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,RFPG_NUM,-1,-1;Shape_Leng "Shape_Leng" true true false 8 Double 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,Shape_Leng,-1,-1;Suffix "Suffix" true true false 10 Text 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,Suffix,0,10;URL "URL" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,URL,0,254;Region "Region" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,Region,0,254;Shape_Length_1 "Shape_Length" false true true 8 Double 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,Shape_Length,-1,-1;Shape_Area_1 "Shape_Area" false true true 8 Double 0 0,First,#,C:\Users\CRoush\Documents\GIS_Resources\FPRs_generalized_coast\FPRs_generalized_coast.gdb\FPR03,Shape_Area,-1,-1" "Within a distance" "150 Unknown" #</Process>
<Process Date="20210817" Time="111904" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\JoinField">JoinField C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft Bldg_ID C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_bldg_pop_table Bldg_ID SUM_NIGHT_POP_BLDG_PART;SUM_DAY_POP_BLDG_PART</Process>
<Process Date="20210817" Time="160824" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft C:\Users\CRoush\Documents\GIS_Resources\GIS_Resources_for_Flood_Planning.gdb\SVI2018_Texas_tract_CDC_2018 C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03 "Join one to one" KEEP_ALL "Bldg_ID "Bldg_ID" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft,Bldg_ID,-1,-1;Est_Night_Pop "Est_Night_Pop" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft,SUM_NIGHT_POP_BLDG_PART,-1,-1;Est_Day_Pop "Est_Day_Pop" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft,SUM_DAY_POP_BLDG_PART,-1,-1;Simp_type "Simp_type" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft,USE_CODE,0,254;SVI "SVI" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\GIS_Resources_for_Flood_Planning.gdb\SVI2018_Texas_tract_CDC_2018,RPL_THEMES,-1,-1;Est_value "Est_value" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft,FRAC_IMP,-1,-1;Est_floors "Est_floors" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\Pop_Calc_Project_v2\Pop_Calc_20210816.gdb\FPR03_TX_Bldgs4a_Ext_ge_500sqft,LIDAR_FLOORS,-1,-1" "Have their center in" # #</Process>
<Process Date="20210828" Time="215151" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03 C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Aug2021_TNRIS.gdb\Buildings_Aug2021_TNRIS C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match "Join one to one" KEEP_ALL "Bldg_ID "Bldg_ID" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03,Bldg_ID,0,254;Est_Night_Pop "Est_Night_Pop" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03,Est_Night_Pop,-1,-1;Est_Day_Pop "Est_Day_Pop" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03,Est_Day_Pop,-1,-1;Simp_type "Simp_type" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03,Simp_type,0,254;SVI "SVI" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03,SVI,-1,-1;Est_value_old "Est_value_old" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03,Est_value,0,254;Est_floors "Est_floors" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021.gdb\Bldgs_Pop_SVI_FPR03,Est_floors,-1,-1;Est_value "Est_value" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Aug2021_TNRIS.gdb\Buildings_Aug2021_TNRIS,Frac_Imp_Val,-1,-1;Ftprnt_sqft "Ftprnt_sqft" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Buildings_Aug2021_TNRIS.gdb\Buildings_Aug2021_TNRIS,Footprint_SQFT,-1,-1" "Have their center in" # #</Process>
<Process Date="20210829" Time="174339" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_03.gdb Bldgs_SVI_Pop_Aug2021_FPR03 # "Bldg_ID "Bldg_ID" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,Bldg_ID,-1,-1;Est_Night_Pop "Est_Night_Pop" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,Est_Night_Pop,-1,-1;Est_Day_Pop "Est_Day_Pop" true true false 254 Long 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,Est_Day_Pop,-1,-1;Simp_type "Simp_type" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,Simp_type,0,254;SVI "SVI" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,SVI,-1,-1;Est_floors "Est_floors" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,Est_floors,-1,-1;Est_value "Est_value" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,Est_value,-1,-1;Ftprnt_sqft "Ftprnt_sqft" true true false 254 Float 0 0,First,",",C:\Users\CRoush\Documents\ArcGIS\Projects\MyWorkspace\MyWorkspace.gdb\fpr03_check_value_match,Ftprnt_sqft,-1,-1" #</Process>
<Process Date="20211103" Time="120616" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddField">AddField C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03 CentroidX "Double (double precision)" # # # # NULLABLE NON_REQUIRED #</Process>
<Process Date="20211103" Time="120618" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddField">AddField C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03 CentroidY "Double (double precision)" # # # # NULLABLE NON_REQUIRED #</Process>
<Process Date="20211103" Time="121438" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateFields">CalculateFields C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03 "Python 3" "CentroidX !SHAPE.CENTROID.X!;CentroidY !SHAPE.CENTROID.Y!" #</Process>
<Process Date="20211105" Time="112203" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\PairwiseDissolve">PairwiseDissolve C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03 C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_dissolved # # SINGLE_PART</Process>
<Process Date="20211105" Time="114632" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_dissolved C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03 C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_dissolved_with_fields_added "Join one to one" KEEP_ALL "Bldg_ID "Bldg_ID" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Bldg_ID,-1,-1;Simp_type "Simp_type" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Simp_type,0,254;SVI "SVI" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,SVI,-1,-1;Est_floors "Est_floors" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Est_floors,-1,-1;Prev_Bldg_IDs "Prev_Bldg_IDs" true true false 254 Text 0 0,Join,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Bldg_ID,-1,-1" "Have their center in" # #</Process>
<Process Date="20211105" Time="115657" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_dissolved_with_fields_added Join_Count;TARGET_FID</Process>
<Process Date="20211111" Time="185434" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\JoinField">JoinField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_dissolved_with_fields_added Bldg_ID C:\Users\CRoush\Documents\Bldg_Footprint_Modification\add_pop_to_single_layer_bldgs.gdb\FPR03_bldg_pop_table Bldg_ID SUM_NIGHT_POP_BLDG_PART;SUM_DAY_POP_BLDG_PART</Process>
<Process Date="20211112" Time="161140" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_dissolved_with_fields_added C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03 C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 "Join one to one" KEEP_ALL "Bldg_ID "Bldg_ID" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Bldg_ID,-1,-1;Simp_type "Simp_type" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Simp_type,0,254;SVI "SVI" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,SVI,-1,-1;Est_floors "Est_floors" true true false 254 Text 0 0,First,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Est_floors,-1,-1;Prev_Bldg_IDs "Prev_Bldg_IDs" true true false 254 Text 0 0,Join,",",C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Aug2021_FPR03.gdb\Bldgs_SVI_Pop_Aug2021_FPR03,Bldg_ID,-1,-1" Closest # #</Process>
<Process Date="20211115" Time="090518" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 Join_Count;TARGET_FID</Process>
<Process Date="20211115" Time="142228" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 Join_Count;TARGET_FID;Prev_Bldg_IDs</Process>
<Process Date="20211115" Time="191320" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\JoinField">JoinField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 Bldg_ID C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_bldg_pop_table Bldg_ID SUM_NIGHT_POP_BLDG_PART;SUM_DAY_POP_BLDG_PART</Process>
<Process Date="20211117" Time="135144" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 Est_Day_Pop !SUM_DAY_POP_BLDG_PART! "Python 3" # "Long (large integer)"</Process>
<Process Date="20211117" Time="135713" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 Est_Night_Pop !SUM_NIGHT_POP_BLDG_PART! "Python 3" # "Long (large integer)"</Process>
<Process Date="20211117" Time="145616" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AlterField">AlterField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 SUM_DAY_POP_BLDG_PART EstDayPop_Float EstDayPop_Float "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR</Process>
<Process Date="20211117" Time="145618" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AlterField">AlterField C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 SUM_NIGHT_POP_BLDG_PART EstNtPop_Float EstNtPop_Float "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR</Process>
<Process Date="20211117" Time="195811" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2 C:\Users\CRoush\Documents\GIS_Resources\Landscan\Landscan_poly_grid_2019.gdb\FPR03_LSgrid_v3 C:\Users\CRoush\Documents\Bldg_Footprint_Modification\bldgs_Pop_SVI_SimpType_Nov2021.gdb\FPR03_Bldgs_w_LS_boundary_Nov2021 "Join one to one" KEEP_COMMON "Bldg_ID "Bldg_ID" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,Bldg_ID,0,254;Simp_type "Simp_type" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,Simp_type,0,254;SVI "SVI" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,SVI,0,254;Est_floors "Est_floors" true true false 254 Text 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,Est_floors,0,254;EstNtPop_Float "EstNtPop_Float" true true false 8 Double 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,EstNtPop_Float,-1,-1;EstDayPop_Float "EstDayPop_Float" true true false 8 Double 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,EstDayPop_Float,-1,-1;Est_Day_Pop "Est_Day_Pop" true true false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,Est_Day_Pop,-1,-1;Est_Night_Pop "Est_Night_Pop" true true false 4 Long 0 0,First,#,C:\Users\CRoush\Documents\Bldg_Footprint_Modification\buildings_remove_duplicates.gdb\FPR03_Bldgs_diss_w_fields_added_v2,Est_Night_Pop,-1,-1" Intersect # #</Process>
<Process Date="20211122" Time="094617" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Copy">Copy C:\Users\CRoush\Documents\Bldg_Footprint_Modification\bldgs_Pop_SVI_SimpType_Nov2021.gdb\FPR03_Bldgs_w_LS_boundary_Nov2021 C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_Nov2021 FeatureClass #</Process>
<Process Date="20211122" Time="102059" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_Nov2021 Join_Count;TARGET_FID</Process>
<Process Date="20211122" Time="153524" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Copy">Copy C:\Users\CRoush\Documents\GIS_Resources\Buildings\Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_Nov2021 C:\Users\CRoush\Documents\GIS_Resources\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_Nov2021 FeatureClass #</Process>
<Process Date="20220315" Time="075957" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.9.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Levee_Area&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;5&lt;/field_length&gt;&lt;field_alias&gt;Levee_Area&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Dam_Inundation_Area&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;5&lt;/field_length&gt;&lt;field_alias&gt;Dam_Inundation_Area&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20220315" Time="123218" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.9.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;EST_EV&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_alias&gt;EST_EV&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20220315" Time="124744" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update EST_EV "Delete Fields"</Process>
<Process Date="20220315" Time="124939" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.9.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;POP_AFFECT&lt;/field_name&gt;&lt;field_type&gt;LONG&lt;/field_type&gt;&lt;field_alias&gt;POP_AFFECT&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20220315" Time="125035" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update POP_AFFECT !EstNtPop_Float! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220315" Time="125118" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update POP_AFFECT !EstDayPop_Float! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220315" Time="133427" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/2.9.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;EST_EV&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_alias&gt;EST_EV&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20220329" Time="115355" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update W:\Citrix\43000s\43791\GIS\Ch2\Trinity_Base_Data\Final_Files.gdb\Critical_Facilities_forSubmittal Trinity_Buildings_Final # "Bldg_ID "Bldg_ID" true true false 254 Text 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,Bldg_ID,-1,-1;Simp_type "Simp_type" true true false 254 Text 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,Simp_type,-1,-1;SVI "SVI" true true false 254 Text 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,SVI,-1,-1;Est_floors "Est_floors" true true false 254 Text 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,Est_floors,-1,-1;EstNtPop_Float "EstNtPop_Float" true true false 8 Double 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,EstNtPop_Float,-1,-1;EstDayPop_Float "EstDayPop_Float" true true false 8 Double 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,EstDayPop_Float,-1,-1;Est_Day_Pop "Est_Day_Pop" true true false 4 Long 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,Est_Day_Pop,-1,-1;Est_Night_Pop "Est_Night_Pop" true true false 4 Long 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,Est_Night_Pop,-1,-1;SOURCE "SOURCE" true true false 50 Text 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,SOURCE,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,W:\Citrix\43000s\43791\GIS\Ch2\Buildings\FPR03Bldgs_SVI_Pop_Nov2021.gdb\FPR03_Bldgs_Pop_SVI_SimpType_March2022_Update,Shape_Area,-1,-1" #</Process>
<Process Date="20250123" Time="072445" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Analysis Tools.tbx\Clip">Clip Trinity_Buildings_Final DeSoto_Boundary A:\57000s\57203\001\WR\SHP\Desoto_Buildings.shp #</Process>
<Process Date="20261001" Time="084553" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures DMP\StructuresAtRisk "W:\Citrix\SDE_Connections\SQL22\SQL22_PROD\DBO Connections\RCHDB06-AHV_SDE-DeSoto_SDMP_AVO_57203(GISDBO).sde\GISDBO.DeSoto_SDMP\GISDBO.DeSoto_StructuresAtRisk" # NOT_USE_ALIAS "Bldg_ID "Bldg_ID" true true false 254 Text 0 0,First,#,DMP\StructuresAtRisk,Bldg_ID,0,253;Simp_type "Simp_type" true true false 254 Text 0 0,First,#,DMP\StructuresAtRisk,Simp_type,0,253;SVI "SVI" true true false 254 Text 0 0,First,#,DMP\StructuresAtRisk,SVI,0,253;Est_floors "Est_floors" true true false 254 Text 0 0,First,#,DMP\StructuresAtRisk,Est_floors,0,253;EstNtPop_F "EstNtPop_F" true true false 19 Double 0 0,First,#,DMP\StructuresAtRisk,EstNtPop_F,-1,-1;EstDayPop_ "EstDayPop_" true true false 19 Double 0 0,First,#,DMP\StructuresAtRisk,EstDayPop_,-1,-1;Est_Day_Po "Est_Day_Po" true true false 10 Long 0 10,First,#,DMP\StructuresAtRisk,Est_Day_Po,-1,-1;Est_Night_ "Est_Night_" true true false 10 Long 0 10,First,#,DMP\StructuresAtRisk,Est_Night_,-1,-1;SOURCE "SOURCE" true true false 50 Text 0 0,First,#,DMP\StructuresAtRisk,SOURCE,0,49;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,DMP\StructuresAtRisk,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,DMP\StructuresAtRisk,Shape_Area,-1,-1" #</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">GISDBO.DeSoto_StructuresAtRisk</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">Server=RCHDB06-AHV; Service=sde:sqlserver:RCHDB06-AHV\SDE; Database=DeSoto_SDMP_AVO_57203; User=GISDBO; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">-10991177.679500</westBL>
<eastBL Sync="TRUE">-10524622.994300</eastBL>
<southBL Sync="TRUE">3459845.529500</southBL>
<northBL Sync="TRUE">3993381.752600</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</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/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,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]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20261001</SyncDate>
<SyncTime>08455100</SyncTime>
<ModDate>20261001</ModDate>
<ModTime>08455100</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.7.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Structures At Risk</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<vertEle>
<vertMinVal Sync="TRUE">0.000000</vertMinVal>
<vertMaxVal Sync="TRUE">0.000000</vertMaxVal>
</vertEle>
<geoEle/>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-98.735429</westBL>
<eastBL Sync="TRUE">-94.544297</eastBL>
<northBL Sync="TRUE">33.735803</northBL>
<southBL Sync="TRUE">29.659415</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>DeSoto</keyword>
<keyword>Drainage Master Plan</keyword>
<keyword>57203.001</keyword>
<keyword>Structures at risk</keyword>
</searchKeys>
<idPurp>Structures At Risk for DeSoto Drainage Master Plan</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</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="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="GISDBO.DeSoto_StructuresAtRisk">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="GISDBO.DeSoto_StructuresAtRisk">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">TRUE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="GISDBO.DeSoto_StructuresAtRisk">
<enttyp>
<enttypl Sync="TRUE">GISDBO.DeSoto_StructuresAtRisk</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">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">8</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">Bldg_ID</attrlabl>
<attalias Sync="TRUE">Bldg_ID</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">Simp_type</attrlabl>
<attalias Sync="TRUE">Simp_type</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">SVI</attrlabl>
<attalias Sync="TRUE">SVI</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">Est_floors</attrlabl>
<attalias Sync="TRUE">Est_floors</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">EstNtPop_F</attrlabl>
<attalias Sync="TRUE">EstNtPop_F</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">EstDayPop_</attrlabl>
<attalias Sync="TRUE">EstDayPop_</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">Est_Day_Po</attrlabl>
<attalias Sync="TRUE">Est_Day_Po</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">Est_Night_</attrlabl>
<attalias Sync="TRUE">Est_Night_</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">Shape_Leng</attrlabl>
<attalias Sync="TRUE">Shape_Leng</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">SOURCE</attrlabl>
<attalias Sync="TRUE">SOURCE</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">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</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">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20261001</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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==</Data>
</Thumbnail>
</Binary>
</metadata>
