20200415
15204200
1.0
FGDC CSDGM Metadata
FALSE
Project U:\GIS\GIS_Data\US\cb_State_2019\tl_2019_us_state.shp U:\GIS\GIS_Data\IHS\OPHS_TEST.gdb\Administrative_Boundaries\cb_State_2019 PROJCS['WGS_1984_Web_Mercator_Auxiliary_Sphere',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Mercator_Auxiliary_Sphere'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',0.0],PARAMETER['Standard_Parallel_1',0.0],PARAMETER['Auxiliary_Sphere_Type',0.0],UNIT['Meter',1.0]] WGS_1984_(ITRF00)_To_NAD_1983 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]] NO_PRESERVE_SHAPE # NO_VERTICAL
CopyMultiple "U:\GIS\GIS_Data\IHS\OPHS_TEST_2.gdb\cb_State_2019 FeatureClass" U:\GIS\APRXs\COVID_19\COVID_19_Areas.gdb cb_State_2019_1 "cb_State_2019 FeatureClass cb_State_2019_1 #"
Rename U:\GIS\APRXs\COVID_19\COVID_19_Areas.gdb\cb_State_2019_1 U:\GIS\APRXs\COVID_19\COVID_19_Areas.gdb\cb_State_2019_IHS FeatureClass
cb_State_2019
002
-19951914.925600
20021886.403200
-1643352.016400
11554348.247400
1
file://\\HQRCKOPSFS\SHARES\UDir2\cworsham\GIS\APRXs\COVID_19\COVID_19_Areas.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/10.7'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20190920
11253500
20190920
11254300
150000000
5000
FGDC
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450
IHS States
1
-179.231101
179.859666
71.439786
-14.601806
US States
US States, 2019
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of states for the purpose of data presentation.</SPAN></P></DIV></DIV></DIV>
US Census Bureau
File Geodatabase Feature Class
dataset
EPSG
8.8(9.3.1.2)
56
Simple
FALSE
56
TRUE
FALSE
cb_State_2019
Feature Class
56
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.
REGION
REGION
String
2
0
0
DIVISION
DIVISION
String
2
0
0
STATEFP
STATEFP
String
2
0
0
STATENS
STATENS
String
8
0
0
GEOID
GEOID
String
2
0
0
STUSPS
STUSPS
String
2
0
0
NAME
NAME
String
100
0
0
LSAD
LSAD
String
2
0
0
MTFCC
MTFCC
String
5
0
0
FUNCSTAT
FUNCSTAT
String
1
0
0
ALAND
ALAND
Double
8
0
0
AWATER
AWATER
Double
8
0
0
INTPTLAT
INTPTLAT
String
11
0
0
INTPTLON
INTPTLON
String
12
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.
20190920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==