20230915
10172000
1.0
FALSE
AddIndex New_Hampshire_hex9s_fromPro GRID_ID # NON_UNIQUE NON_ASCENDING
Rename J:\Projects\BEA_Broadband\H3Data\New_Hampshire_hex9s_fromPro.shp J:\Projects\BEA_Broadband\H3Data\New_Hampshire_hex9s.shp ShapeFile
ExportFeatures New_Hampshire_hex9s \\broadbandnh.sr.unh.edu\J\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb\p_hex3_9_select_round5_v1 # NOT_USE_ALIAS "GRID_ID "GRID_ID" true true false 17 Text 0 0,First,#,New_Hampshire_hex9s,GRID_ID,0,16" #
JoinField \\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb\p_hex3_9_select_round5_v1 GRID_ID \\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb\pt_ISPs_All_Roun__PivotTable pt_ISPs_All_Roun_S_Frequency_GRID_ID # NOT_USE_FM # NO_INDEXES
CalculateField \\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb\p_hex3_9_select_round5_v1 pt_ISPs_All_Roun_S_Frequency_bbservice0 "0 if !pt_ISPs_All_Roun_S_Frequency_bbservice0! is None else !pt_ISPs_All_Roun_S_Frequency_bbservice0!" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField \\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb\p_hex3_9_select_round5_v1 pt_ISPs_All_Roun_S_Frequency_bbservice1 "0 if !pt_ISPs_All_Roun_S_Frequency_bbservice1! is None else !pt_ISPs_All_Roun_S_Frequency_bbservice1!" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField \\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb\p_hex3_9_select_round5_v1 pt_ISPs_All_Roun_S_Frequency_bbservice2 "0 if !pt_ISPs_All_Roun_S_Frequency_bbservice2! is None else !pt_ISPs_All_Roun_S_Frequency_bbservice2!" PYTHON3 # 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/3.4.0'><WorkspaceConnectionString>DATABASE=\\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>p_hex3_9_select_round5_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>GRID_ID</field_name><new_field_name>grid_id</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><AlterField><field_name>pt_ISPs_All_Roun_S_Frequency_GRID_ID</field_name><new_field_name>id_1</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><AlterField><field_name>pt_ISPs_All_Roun_S_Frequency_bbservice0</field_name><new_field_name>bbservice0</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>pt_ISPs_All_Roun_S_Frequency_bbservice1</field_name><new_field_name>bbservice1</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>pt_ISPs_All_Roun_S_Frequency_bbservice2</field_name><new_field_name>bbservice2</new_field_name><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/3.4.0'><WorkspaceConnectionString>DATABASE=\\broadbandnh.sr.unh.edu\J\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>p_hex3_9_select_round5_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>bbservice0</field_name><field_alias>bbservice0</field_alias><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>bbservice1</field_name><field_alias>bbservice1</field_alias><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>bbservice2</field_name><field_alias>bbservice2</field_alias><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/3.4.0'><WorkspaceConnectionString>DATABASE=\\broadbandnh.sr.unh.edu\J\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>p_hex3_9_select_round5_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>GRID_ID</field_name><new_field_name>grid_id</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>
p_hex3_9_select_round5_v1
002
file://\\broadbandnh.sr.unh.edu\J\Projects\BEA_Broadband\ProviderData\ProviderData_Round5_20241231.gdb
Local Area Network
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_New_Hampshire_FIPS_2800_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/3.4.0'><WKT>PROJCS["NAD_1983_2011_StatePlane_New_Hampshire_FIPS_2800_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["Transverse_Mercator"],PARAMETER["False_Easting",984250.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-71.66666666666667],PARAMETER["Scale_Factor",0.9999666666666667],PARAMETER["Latitude_Of_Origin",42.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6525]]</WKT><XOrigin>-17463700</XOrigin><YOrigin>-48257000</YOrigin><XYScale>3048.0060960121918</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>103104</WKID><LatestWKID>6525</LatestWKID></ProjectedCoordinateSystem>
20250404
12154500
20250404
12154500
This feature class was created using the following tool parameters:
- Area of Interest: in_memory\fDA1D62D1_412A_46FA_AC80_58B991DC2AD3
- Output Feature Class: \\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\H3Data\New Hampshire_hex9s_fromPro.shp
- Cell Geometry Type: H3_HEXAGON
- H3 Resolution: 9
Business Analyst
Grids
Hexagons
Enrich
Created with Business Analyst Pro - GenerateGridsAndHexagons
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 20348) ; Esri ArcGIS 13.4.0.55405
p_hex3_9_select_round5_v1
File Geodatabase Feature Class
dataset
EPSG
8.2.10(10.3.1)
0
Simple
FALSE
0
TRUE
FALSE
p_hex3_9_select_round5_v1
Feature Class
0
OBJECTID
OBJECTID
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.
GRID_ID
GRID_ID
String
17
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.
20250404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