20250603
09562300
1.0
FALSE
Addresses_MyCalvertMap
Address
Locator built with SingleFeatureRole
500
2025-03-27 08:43:45
3.4
{26AC4C70-EA6E-4125-86F9-5ED7970D15F7}
rooftop
5
-1
6.371
200
11.0
ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = \\ccg-gisfile03\GIS_Data\Locators\
-1
-1
50
50
15
70
75
16
4
GLOBAL_HIGH
133875386125380000
8:43:32 AM
Addresses_MyCalvertMap
10
6.371
2248
FALSE
FALSE
Feature
Feature
SingleFeatureRole
-1
{AE5A3A0E-F756-11D2-9F4F-00C04F8ED1C4}
0
::
::
IN_SingleLine
::
::
Shape
Match_addr
Name
Status
Score
Addr_type
Rank
Distance
X
Y
Xmin
Xmax
Ymin
Ymax
LatLong,XY,YX,MGRS,USNG,Feature
GeocodeAddresses CountyOwnedLeasedGeocodeAddressesTable \\ccg-gisfile03\GIS_Data\Locators\Addresses_MyCalvertMap.loc "'Single Line Input' Name VISIBLE NONE" "C:\Users\strozijc\OneDrive - Calvert County Government\Documents\ArcGIS\Projects\MyProject166\MyProject166.gdb\CountyOwnedLea_GeocodeAddres1" STATIC # # LatLong;XY;YX;MGRS;USNG;Feature All
CopyFeatures CountyOwnedLea_GeocodeAddres1 T:\GIS\Strozier\County_Owned_Facilities.gdb\CountyOwnedLea_GeocodeAddres1 # # # #
CalculateField CountyOwnedLea_GeocodeAddres1 Lot Non-Vacant VB #
CalculateField CountyOwnedLea_GeocodeAddres1 Lot "Non-Vacant" VB #
CalculateField CountyOwnedLea_GeocodeAddres1 Lot "Vacant" VB #
DeleteField County_Owned_Leased_Properties Status DELETE_FIELDS
DeleteField County_Owned_Leased_Properties Score DELETE_FIELDS
DeleteField County_Owned_Leased_Properties Match_type DELETE_FIELDS
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/3.4.0'><WorkspaceConnectionString>DATABASE=T:\GIS\Strozier</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>County_Owned_Leased_Properties.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>USER_USE_6</field_name><field_name>XCOORD</field_name></DeleteField></workflow></operationSequence>
CalculateGeometryAttributes County_Owned_Leased_Properties "X POINT_X" # # PROJCS["NAD_1983_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1312333.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] SAME_AS_INPUT
CalculateGeometryAttributes County_Owned_Leased_Properties "Y POINT_Y" # # PROJCS["NAD_1983_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1312333.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] SAME_AS_INPUT
CopyFeatures County_Owned_Leased_Properties \\ccg-gisfile03\GIS_Data\GDBs\Published_Data.gdb\Facilities\County_Owned_Leased_Properties # # # #
County_Owned_Leased_Properties
002
file://\\ccg-gisfile03\GIS_Data\GDBs\Published_Data.gdb
Local Area Network
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Maryland_FIPS_1900_Feet
<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'><WKT>PROJCS["NAD_1983_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1312333.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2248]]</WKT><XOrigin>-120561100</XOrigin><YOrigin>-95444400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102685</WKID><LatestWKID>2248</LatestWKID></ProjectedCoordinateSystem>
20250620
12500000
20250620
12500000
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.0.52636
County Owned Leased Properties
Vacant
Non Vacant
County-Owned
This data represents properties that are county owned.
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
County_Owned_Leased_Properties
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
Integer
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.
Match_addr
Match_addr
String
254
0
0
X
X
Double
8
0
0
Y
Y
Double
8
0
0
USER_USER_
USER_USER_
String
254
0
0
USER_USE_1
USER_USE_1
String
254
0
0
USER_USE_2
USER_USE_2
String
254
0
0
USER_USE_3
USER_USE_3
String
254
0
0
Lot
Lot
String
30
0
0
20250620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=