20220930
17362800
1.0
FALSE
Vacant_Property_Density_Hex_Bin_with_data
002
file://\\semcogdom\group\DataAnalysis\Staff\Misiuk\GIS\ArcGIS Pro\SiteExplorerMapSeries\SiteExplorerMapSeries.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/2.9.0'><WKT>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],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass Vacant_Property_Density_Hex_Bin "Y:\Staff\Misiuk\GIS\ArcGIS Pro\SiteExplorerMapSeries\SiteExplorerMapSeries.gdb" Vacant_Property_Density_Hex_Bin # "OBJECTID "OBJECTID" true true false 0 Long 0 0,First,#,Vacant_Property_Density_Hex_Bin,OBJECTID,-1,-1;TARGET_FID "TARGET_FID" true true false 0 Long 0 0,First,#,Vacant_Property_Density_Hex_Bin,TARGET_FID,-1,-1;Shape_Leng "Shape_Leng" true true false 0 Double 0 0,First,#,Vacant_Property_Density_Hex_Bin,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 0 Double 0 0,First,#,Vacant_Property_Density_Hex_Bin,Shape_Area,-1,-1;Count_ "Count" true true false 0 Long 0 0,First,#,Vacant_Property_Density_Hex_Bin,Count_,-1,-1;PNTCNT "PNTCNT" true true false 0 Long 0 0,First,#,Vacant_Property_Density_Hex_Bin,PNTCNT,-1,-1" #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WorkspaceConnectionString>DATABASE=Y:\Staff\Misiuk\GIS\ArcGIS Pro\SiteExplorerMapSeries\SiteExplorerMapSeries.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Vacant_Property_Density_Hex_Bin</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Count_</field_name><field_name>PNTCNT</field_name></DeleteField></workflow></operationSequence>
SpatialJoin Vacant_Property_Density_Hex_Bin vacant_parcels_points_2019 "Y:\Staff\Misiuk\GIS\ArcGIS Pro\SiteExplorerMapSeries\SiteExplorerMapSeries.gdb\Vacant_Property_Density_Hex_Bin_with_data" "Join one to one" KEEP_ALL "OBJECTID "OBJECTID" true true false 4 Long 0 0,First,#,Vacant_Property_Density_Hex_Bin,OBJECTID,-1,-1;TARGET_FID "TARGET_FID" true true false 4 Long 0 0,First,#,Vacant_Property_Density_Hex_Bin,TARGET_FID,-1,-1;Shape_Leng "Shape_Leng" true true false 8 Double 0 0,First,#,Vacant_Property_Density_Hex_Bin,Shape_Leng,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Vacant_Property_Density_Hex_Bin,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Vacant_Property_Density_Hex_Bin,Shape_Area,-1,-1;gid "gid" true true false 8 Double 0 0,First,#,parcels_points_2019,gid,-1,-1;parcel_id "parcel_id" true true false 8 Double 0 0,First,#,parcels_points_2019,parcel_id,-1,-1;landuse15 "landuse15" true true false 2000000000 Text 0 0,First,#,parcels_points_2019,landuse15,0,2000000000;futuse20 "futuse20" true true false 2000000000 Text 0 0,First,#,parcels_points_2019,futuse20,0,2000000000;apn "apn" true true false 2000000000 Text 0 0,First,#,parcels_points_2019,apn,0,2000000000;parcel_address "parcel_address" true true false 2000000000 Text 0 0,First,#,parcels_points_2019,parcel_address,0,2000000000;landuse20 "landuse20" true true false 2000000000 Text 0 0,First,#,parcels_points_2019,landuse20,0,2000000000;semmcd "semmcd" true true false 8 Double 0 0,First,#,parcels_points_2019,semmcd,-1,-1;square_feet "square_feet" true true false 8 Double 0 0,Sum,#,parcels_points_2019,square_feet,-1,-1;city "city" true true false 2000000000 Text 0 0,First,#,parcels_points_2019,city,0,2000000000" Intersect # #
CalculateField Vacant_Property_Density_Hex_Bin_with_data acres !square_feet!/43560 "Python 3" # "Double (double precision)" NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WorkspaceConnectionString>DATABASE=Y:\Staff\Misiuk\GIS\ArcGIS Pro\SiteExplorerMapSeries\SiteExplorerMapSeries.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Vacant_Property_Density_Hex_Bin_with_data</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>TARGET_FID</field_name><field_name>OBJECTID</field_name><field_name>TARGET_FID_1</field_name><field_name>Shape_Leng</field_name><field_name>gid</field_name><field_name>parcel_id</field_name><field_name>landuse15</field_name><field_name>futuse20</field_name><field_name>apn</field_name><field_name>parcel_address</field_name><field_name>landuse20</field_name><field_name>semmcd</field_name><field_name>city</field_name></DeleteField></workflow></operationSequence>
20220930
17485800
20220930
17485800
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 14393) ; Esri ArcGIS 12.9.2.32739
Vacant_Property_Density_Hex_Bin
vacant
Vacant property hex bins for vacant map
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
Vacant_Property_Density_Hex_Bin_with_data
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Join_Count
Join_Count
Integer
4
0
0
OBJECTID
OBJECTID
Integer
4
0
0
TARGET_FID
TARGET_FID
Integer
4
0
0
TARGET_FID_1
TARGET_FID
Integer
4
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
gid
gid
Double
8
0
0
parcel_id
parcel_id
Double
8
0
0
landuse15
landuse15
String
2000000000
0
0
futuse20
futuse20
String
2000000000
0
0
apn
apn
String
2000000000
0
0
parcel_address
parcel_address
String
2000000000
0
0
landuse20
landuse20
String
2000000000
0
0
semmcd
semmcd
Double
8
0
0
square_feet
square_feet
Double
8
0
0
city
city
String
2000000000
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20220930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