20230118
14174400
1.0
FALSE
ConvStores_NonPharma
002
file://\\ITRE010-LT\C$\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.0.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
ExportFeatures SNAP_Store_Locations C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb\SNAP_NC # NOT_USE_ALIAS "Store_Name "Store_Name" true true false 59 Text 0 0,First,#,SNAP_Store_Locations,Store_Name,0,59;Address "Address" true true false 44 Text 0 0,First,#,SNAP_Store_Locations,Address,0,44;Address_Li "Address_Li" true true false 40 Text 0 0,First,#,SNAP_Store_Locations,Address_Li,0,40;City "City" true true false 26 Text 0 0,First,#,SNAP_Store_Locations,City,0,26;State "State" true true false 2 Text 0 0,First,#,SNAP_Store_Locations,State,0,2;Zip5 "Zip5" true true false 5 Text 0 0,First,#,SNAP_Store_Locations,Zip5,0,5;Zip4 "Zip4" true true false 4 Text 0 0,First,#,SNAP_Store_Locations,Zip4,0,4;County "County" true true false 21 Text 0 0,First,#,SNAP_Store_Locations,County,0,21;Longitude "Longitude" true true false 24 Double 15 23,First,#,SNAP_Store_Locations,Longitude,-1,-1;Latitude "Latitude" true true false 24 Double 15 23,First,#,SNAP_Store_Locations,Latitude,-1,-1;ObjectId "ObjectId" true true false 6 Long 0 6,First,#,SNAP_Store_Locations,ObjectId,-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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SNAP_NC</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Chain</field_name><field_type>FLOAT</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField SNAP_NC Chain 'Target' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain "Target" "Python 3" # 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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SNAP_NC</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Chain</field_name></DeleteField></workflow><workflow><AddField><field_name>Chain</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 SNAP_NC Chain 'Target' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Harris Teeter' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Kroger' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Food Lion' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Aldi' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Lidl' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'IGA' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Wegmans' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Lowes Foods' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Publix' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Piggly Wiggly' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Trader Joes' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Trader Joes' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Piggly Wiggly' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Sprouts Farmers Market' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Costco' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Whole Foods' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'The Fresh Market' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Ingles' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Compare Foods' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Sams Club' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'BJs Club' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Fresh Foods' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Save a Lot' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Sav Mor' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Earth Fare' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Grocery Outlet' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Wow Supermarket' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Walmart' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC Chain 'Hills' "Python 3" # 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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SNAP_NC</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Chain</field_name><new_field_name>Retailer</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AddField><field_name>CATEGORY</field_name><field_type>DOUBLE</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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SNAP_NC</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>CATEGORY</field_name></DeleteField></workflow><workflow><AddField><field_name>CATEGORY</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>ShapeType</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 SNAP_NC CATEGORY 'Convenience Store' "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC ShapeType 'Point' "Python 3" # 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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SNAP_NC</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>NameStand</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 SNAP_NC NameStand standardText(!Store_Name!) "Python 3" "def standardText(x):
standardX = x.upper()
return standardX" Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC NameStand standardText(!Store_Name!) "Python 3" "def standardText(x):
upperX = x.upper()
cleanX = upperX.replace("'","")
return cleanX" Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC NameStand standardText(!Store_Name!) "Python 3" "def standardText(x):
upperX = x.upper()
cleanX1 = upperX.replace("'","")
cleanX2 = upperX.replace("-"," ")
return cleanX2" Text NO_ENFORCE_DOMAINS
CalculateField SNAP_NC NameStand standardText(!Store_Name!) "Python 3" "def standardText(x):
upperX = x.upper()
cleanX1 = upperX.replace("'","")
cleanX2 = cleanX1.replace("-"," ")
return cleanX2" Text NO_ENFORCE_DOMAINS
ExportFeatures SNAP_NC C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb\SNAP_NonFSGroc # NOT_USE_ALIAS "Store_Name "Store_Name" true true false 59 Text 0 0,First,#,SNAP_NC,Store_Name,0,59;Address "Address" true true false 44 Text 0 0,First,#,SNAP_NC,Address,0,44;Address_Li "Address_Li" true true false 40 Text 0 0,First,#,SNAP_NC,Address_Li,0,40;City "City" true true false 26 Text 0 0,First,#,SNAP_NC,City,0,26;State "State" true true false 2 Text 0 0,First,#,SNAP_NC,State,0,2;Zip5 "Zip5" true true false 5 Text 0 0,First,#,SNAP_NC,Zip5,0,5;Zip4 "Zip4" true true false 4 Text 0 0,First,#,SNAP_NC,Zip4,0,4;County "County" true true false 21 Text 0 0,First,#,SNAP_NC,County,0,21;Longitude "Longitude" true true false 8 Double 0 0,First,#,SNAP_NC,Longitude,-1,-1;Latitude "Latitude" true true false 8 Double 0 0,First,#,SNAP_NC,Latitude,-1,-1;ObjectId "ObjectId" true true false 4 Long 0 0,First,#,SNAP_NC,ObjectId,-1,-1;Retailer "Retailer" true true false 255 Text 0 0,First,#,SNAP_NC,Retailer,0,255;CATEGORY "CATEGORY" true true false 255 Text 0 0,First,#,SNAP_NC,CATEGORY,0,255;ShapeType "ShapeType" true true false 255 Text 0 0,First,#,SNAP_NC,ShapeType,0,255;NameStand "NameStand" true true false 255 Text 0 0,First,#,SNAP_NC,NameStand,0,255" #
ExportFeatures SNAP_NonFSGroc C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb\ConvStores_NonPharma # NOT_USE_ALIAS "Store_Name "Store_Name" true true false 59 Text 0 0,First,#,SNAP_NonFSGroc,Store_Name,0,59;Address "Address" true true false 44 Text 0 0,First,#,SNAP_NonFSGroc,Address,0,44;Address_Li "Address_Li" true true false 40 Text 0 0,First,#,SNAP_NonFSGroc,Address_Li,0,40;City "City" true true false 26 Text 0 0,First,#,SNAP_NonFSGroc,City,0,26;State "State" true true false 2 Text 0 0,First,#,SNAP_NonFSGroc,State,0,2;Zip5 "Zip5" true true false 5 Text 0 0,First,#,SNAP_NonFSGroc,Zip5,0,5;Zip4 "Zip4" true true false 4 Text 0 0,First,#,SNAP_NonFSGroc,Zip4,0,4;County "County" true true false 21 Text 0 0,First,#,SNAP_NonFSGroc,County,0,21;Longitude "Longitude" true true false 8 Double 0 0,First,#,SNAP_NonFSGroc,Longitude,-1,-1;Latitude "Latitude" true true false 8 Double 0 0,First,#,SNAP_NonFSGroc,Latitude,-1,-1;ObjectId "ObjectId" true true false 4 Long 0 0,First,#,SNAP_NonFSGroc,ObjectId,-1,-1;Retailer "Retailer" true true false 255 Text 0 0,First,#,SNAP_NonFSGroc,Retailer,0,255;CATEGORY "CATEGORY" true true false 255 Text 0 0,First,#,SNAP_NonFSGroc,CATEGORY,0,255;ShapeType "ShapeType" true true false 255 Text 0 0,First,#,SNAP_NonFSGroc,ShapeType,0,255;NameStand "NameStand" true true false 255 Text 0 0,First,#,SNAP_NonFSGroc,NameStand,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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ConvStores_NonPharma</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Address</field_name><field_name>Address_Li</field_name><field_name>City</field_name><field_name>State</field_name><field_name>Zip5</field_name><field_name>Zip4</field_name><field_name>County</field_name><field_name>Longitude</field_name><field_name>Latitude</field_name><field_name>ObjectId</field_name><field_name>Retailer</field_name><field_name>NameStand</field_name></DeleteField></workflow><workflow><AlterField><field_name>Store_Name</field_name><new_field_name>NAME</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\Chase\Documents\ArcGIS\Projects\SNAP_DataDevelopment\SNAP_DataDevelopment.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ConvStores_NonPharma</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>NameSimp</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>
DeleteField ConvStores_NonPharma NameSimp "Delete Fields"
20230310
13201500
20230310
13201500
Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.0.2.36056
Convenience Stores
Convenience Stores
This is a filtered-version of the USDA SNAP Retailer Locator Data that identifies non-pharmacy convenience stores only. Convenience stores are defined as those SNAP retailers not identified as either full-service grocery retailers or pharmacies. These retailers are identified by separating major grocery retailers and pharmacies using a series of text-based queries.
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
ConvStores_NonPharma
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.
Store_Name
Store_Name
String
59
0
0
Address
Address
String
44
0
0
Address_Li
Address_Li
String
40
0
0
City
City
String
26
0
0
State
State
String
2
0
0
Zip5
Zip5
String
5
0
0
Zip4
Zip4
String
4
0
0
County
County
String
21
0
0
Longitude
Longitude
Double
8
0
0
Latitude
Latitude
Double
8
0
0
ObjectId
ObjectId
Integer
4
0
0
Retailer
Retailer
String
255
0
0
CATEGORY
CATEGORY
String
255
0
0
ShapeType
ShapeType
String
255
0
0
NameStand
NameStand
String
255
0
0
20230310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