20240326
14412800
1.0
FALSE
SanCarlosRez_Merge
002
file://\\HQRCKOPSFS\SHARES\UDir2\cworsham\GIS\APRXs\IHS_DATA\IHS_GIS_Data.gdb
Local Area Network
Geographic
GCS_North_American_1983
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/3.2.0'><WKT>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],AUTHORITY["EPSG",4269]]</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>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
ExportFeatures tl_2023_us_aiannh U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb\SanCarlosRez # NOT_USE_ALIAS "AIANNHCE "AIANNHCE" true true false 4 Text 0 0,First,#,tl_2023_us_aiannh,AIANNHCE,0,3;AIANNHNS "AIANNHNS" true true false 8 Text 0 0,First,#,tl_2023_us_aiannh,AIANNHNS,0,7;GEOID "GEOID" true true false 5 Text 0 0,First,#,tl_2023_us_aiannh,GEOID,0,4;GEOIDFQ "GEOIDFQ" true true false 14 Text 0 0,First,#,tl_2023_us_aiannh,GEOIDFQ,0,13;NAME "NAME" true true false 100 Text 0 0,First,#,tl_2023_us_aiannh,NAME,0,99;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,tl_2023_us_aiannh,NAMELSAD,0,99;LSAD "LSAD" true true false 2 Text 0 0,First,#,tl_2023_us_aiannh,LSAD,0,1;CLASSFP "CLASSFP" true true false 2 Text 0 0,First,#,tl_2023_us_aiannh,CLASSFP,0,1;COMPTYP "COMPTYP" true true false 1 Text 0 0,First,#,tl_2023_us_aiannh,COMPTYP,0,0;AIANNHR "AIANNHR" true true false 1 Text 0 0,First,#,tl_2023_us_aiannh,AIANNHR,0,0;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,tl_2023_us_aiannh,MTFCC,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,tl_2023_us_aiannh,FUNCSTAT,0,0;ALAND "ALAND" true true false 14 Double 0 14,First,#,tl_2023_us_aiannh,ALAND,-1,-1;AWATER "AWATER" true true false 14 Double 0 14,First,#,tl_2023_us_aiannh,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,tl_2023_us_aiannh,INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,tl_2023_us_aiannh,INTPTLON,0,11" #
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=U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SanCarlosRez</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>GEOIDFQ</field_name><field_name>LSAD</field_name><field_name>CLASSFP</field_name><field_name>COMPTYP</field_name><field_name>AIANNHR</field_name><field_name>MTFCC</field_name><field_name>FUNCSTAT</field_name><field_name>INTPTLAT</field_name><field_name>INTPTLON</field_name></DeleteField></workflow><workflow><AddField><field_name>IHS_AREA</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>SU</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/3.2.0'><WorkspaceConnectionString>DATABASE=U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SanCarlosRez</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>ASU_CODE</field_name><field_type>TEXT</field_type><field_length>4</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/3.2.0'><WorkspaceConnectionString>DATABASE=U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SanCarlosRez</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>AIANNHCE</field_name><field_name>AIANNHNS</field_name></DeleteField></workflow></operationSequence>
Merge SanCarlosRez;IHS_Service_Units_2024 U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb\SanCarlosRez_Merge "GEOID "GEOID" true true false 5 Text 0 0,First,#,SanCarlosRez,GEOID,0,4;NAME "NAME" true true false 100 Text 0 0,First,#,SanCarlosRez,NAME,0,99;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,SanCarlosRez,NAMELSAD,0,99;ALAND "ALAND" true true false 8 Double 0 0,First,#,SanCarlosRez,ALAND,-1,-1;AWATER "AWATER" true true false 8 Double 0 0,First,#,SanCarlosRez,AWATER,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,SanCarlosRez,Shape_Length,-1,-1,IHS_Service_Units_2024,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,SanCarlosRez,Shape_Area,-1,-1,IHS_Service_Units_2024,Shape_Area,-1,-1;IHS_AREA "IHS AREA" true true false 255 Text 0 0,First,#,SanCarlosRez,IHS_AREA,0,254;SU "SERVICE UNIT" true true false 255 Text 0 0,First,#,SanCarlosRez,SU,0,254;ASU_CODE "ASU CODE" true true false 4 Text 0 0,First,#,SanCarlosRez,ASU_CODE,0,3,IHS_Service_Units_2024,ASU_CODE,0,3;Area_Name "Area_Name" true true false 254 Text 0 0,First,#,IHS_Service_Units_2024,Area_Name,0,253;STATE "STATE" true true false 2 Text 0 0,First,#,IHS_Service_Units_2024,STATE,0,1;STATE_FIPS "STATE_FIPS" true true false 2 Text 0 0,First,#,IHS_Service_Units_2024,STATE_FIPS,0,1;SERVICE_UN "SERVICE_UN" true true false 90 Text 0 0,First,#,IHS_Service_Units_2024,SERVICE_UN,0,89;Shape_Leng "Shape_Leng" true true false 8 Double 0 0,First,#,IHS_Service_Units_2024,Shape_Leng,-1,-1" NO_SOURCE_INFO
CalculateField SanCarlosRez_Merge SU !SERVICE_UN! Python # Text NO_ENFORCE_DOMAINS
DeleteField SanCarlosRez_Merge SERVICE_UN "Delete Fields"
CalculateField SanCarlosRez_Merge IHS_AREA !Area_Name! Python # Text NO_ENFORCE_DOMAINS
DeleteField SanCarlosRez_Merge Area_Name "Delete Fields"
DeleteField SanCarlosRez_Merge ALAND "Delete Fields"
DeleteField SanCarlosRez_Merge AWATER "Delete Fields"
DeleteField SanCarlosRez_Merge NAME "Delete Fields"
DeleteField SanCarlosRez_Merge NAMELSAD "Delete Fields"
DeleteField SanCarlosRez_Merge Shape_Leng "Delete Fields"
DeleteField SanCarlosRez_Merge GEOID "Delete Fields"
Rename U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb\SanCarlosRez_Merge U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb\IHS_SERVICE_UNITS_2024 FeatureClass
CopyMultiple "U:\GIS\APRXs\IHS_Areas\IHS_Areas_Data_Reviewer.gdb\IHS_SERVICE_UNITS_2024 FeatureClass" U:\GIS\APRXs\IHS_DATA\IHS_GIS_Data.gdb IHS_SERVICE_UNITS_2024_1 "IHS_SERVICE_UNITS_2024 FeatureClass IHS_SERVICE_UNITS_2024_1 #"
Rename U:\GIS\APRXs\IHS_DATA\IHS_GIS_Data.gdb\IHS_SERVICE_UNITS_2024_1 U:\GIS\APRXs\IHS_DATA\IHS_GIS_Data.gdb\IHS_SERVICE_UNITS_2024 FeatureClass
20240326
14174700
20240326
14174700
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.2.0.49743
IHS SERVICE UNITS 2024
IHS
Service Units
2024
Boundaries
A Feature Service showing the revised 2024 IHS Service Unit boundaries
File Geodatabase Feature Class
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
SanCarlosRez_Merge
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.
GEOID
GEOID
String
5
0
0
NAME
NAME
String
100
0
0
NAMELSAD
NAMELSAD
String
100
0
0
ALAND
ALAND
Double
8
0
0
AWATER
AWATER
Double
8
0
0
IHS_AREA
IHS AREA
String
255
0
0
SU
SERVICE UNIT
String
255
0
0
ASU_CODE
ASU CODE
String
4
0
0
Area_Name
Area_Name
String
254
0
0
STATE
STATE
String
2
0
0
STATE_FIPS
STATE_FIPS
String
2
0
0
SERVICE_UN
SERVICE_UN
String
90
0
0
Shape_Leng
Shape_Leng
Double
8
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.
20240326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