20230801
10142200
1.0
FALSE
CreateFeatureclass "T:\Health Department Mapping\Food Deserts\Maps.gdb" CopyofDelcoGroceryStores_XYTableToPoint Point GPLYR_{8A3DA97D-41C9-4B0C-8759-5FCD7CB866A9} No No "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 #
XYTableToPoint "Copy of Delco Grocery Stores.csv" "T:\Health Department Mapping\Food Deserts\Maps.gdb\CopyofDelcoGroceryStores_XYTableToPoint" Longitude Latitude # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision"
CalculateField "Delco Grocery Stores" Premises_Address_1 "$feature.Premises_Address_1 & " " & $feature.City & " " &$feature.Premises_State & ", " &$feature.Premises_ZIP" Arcade # Text NO_ENFORCE_DOMAINS
DeleteField "Delco Grocery Stores" Premises_ZIP "Delete Fields"
DeleteField "Delco Grocery Stores" Premises_State "Delete Fields"
DeleteField "Delco Grocery Stores" City "Delete Fields"
DeleteField "Delco Grocery Stores" Latitude "Delete Fields"
DeleteField "Delco Grocery Stores" Longitude "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/3.1.0'><WorkspaceConnectionString>DATABASE=T:\Health Department Mapping\Food Deserts\Maps.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CopyofDelcoGroceryStores_XYTableToPoint</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Name</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Address</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField "Delco Grocery Stores" Name $feature.Premises_Name Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "Delco Grocery Stores" Address $feature.Premises_Address_1 Arcade # Text 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/3.1.0'><WorkspaceConnectionString>DATABASE=T:\Health Department Mapping\Food Deserts\Maps.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CopyofDelcoGroceryStores_XYTableToPoint</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Premises_Name</field_name><field_name>Premises_Address_1</field_name></DeleteField></workflow></operationSequence>
CopyFeatures GroceryStores C:\Users\hagana\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning.sde\PLANNING.Community_Infrastructure\PLANNING.GroceryStores # # # #
ExportFeatures PLANNING.GroceryStores "T:\Health Department Mapping\Food Deserts\Maps.gdb\Grocery_Stores" # NOT_USE_ALIAS "Type "Type" true true false 1073741822 Text 0 0,First,#,PLANNING.GroceryStores,Type,0,1073741822;Name "Name" true true false 255 Text 0 0,First,#,PLANNING.GroceryStores,Name,0,255;Address "Address" true true false 255 Text 0 0,First,#,PLANNING.GroceryStores,Address,0,255" #
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/3.2.0'><WorkspaceConnectionString>DATABASE=T:\Health Department Mapping\Food Insecurity\Maps.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Grocery_Stores</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Fresh_Produce</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Baby_Formula</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Open_6_Days</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Food_Stamps</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=T:\Health Department Mapping\Food Insecurity\Maps.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Grocery_Stores</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Note</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=T:\Health Department Mapping\Food Insecurity\Maps.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Grocery_Stores</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Access</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=T:\Health Department Mapping\Food Insecurity\Maps.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Grocery_Stores</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Directions</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CopyFeatures "Food Access Centers" "T:\Health Department Mapping\Food Insecurity\Plan.sde\PLANNING.Community_Infrastructure\PLANNING.Food_Access_Centers" # # # #
PLANNING.Food_Access_Centers
002
Server=gis-sql-managed.ef1755ffe9e8.database.windows.net; Service=sde:sqlserver:gis-sql-managed.ef1755ffe9e8.database.windows.net; Database=GIS_PROD; User=Planning; Version=dbo.DEFAULT
ArcSDE Connection
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_Pennsylvania_South_FIPS_3702_Ft_US
<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_2011_StatePlane_Pennsylvania_South_FIPS_3702_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.75],PARAMETER["Standard_Parallel_1",39.93333333333333],PARAMETER["Standard_Parallel_2",40.96666666666667],PARAMETER["Latitude_Of_Origin",39.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6565]]</WKT><XOrigin>-119214200</XOrigin><YOrigin>-96198500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>2</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103142</WKID><LatestWKID>6565</LatestWKID></ProjectedCoordinateSystem>
20241002
11035200
20241002
11035200
Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.3.0.52636
Delaware County Food Access Centers
Food access centers including grocery stores, big box stores, bodegas, etc. in Delaware County, PA
Enterprise Geodatabase Feature Class
dataset
EPSG
8.2.10(10.3.1)
0
Simple
FALSE
0
TRUE
FALSE
PLANNING.Food_Access_Centers
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Type
Type
String
1073741822
0
0
Name
Name
String
255
0
0
Address
Address
String
255
0
0
Fresh_Produce
Fresh_Produce
Integer
4
10
0
Baby_Formula
Baby_Formula
Integer
4
10
0
Open_6_Days
Open_6_Days
Integer
4
10
0
Food_Stamps
Food_Stamps
Integer
4
10
0
Note
Note
String
255
0
0
Access
Access
String
255
0
0
Directions
Directions
String
255
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
20241002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