20201007
11242300
1.0
FALSE
Zones_10072020_0805AM_SplitByBlock
002
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/2.6.0'><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>
20201012
10391700
20201012
10391700
Esri ArcGIS 12.6.1.24783
Zones_10072020_0805AM_SplitByBlock
test
NYS Red/Orange/Yellow Covid-19 zones split
File Geodatabase Feature Class
dataset
EPSG
8.8(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
Zones_10072020_0805AM_SplitByBlock
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.
FID_Zones_10072020_0805AM_testSplit
FID_Zones_10072020_0805AM_testSplit
Integer
4
0
0
Name
Name
String
255
0
0
ZoneName
ZoneName
String
255
0
0
ZoneColor
ZoneColor
String
255
0
0
FID_nycb2010
FID_nycb2010
Integer
4
0
0
CB2010
CB2010
String
4
0
0
BoroCode
BoroCode
String
1
0
0
BoroName
BoroName
String
32
0
0
CT2010
CT2010
String
6
0
0
BCTCB2010
BCTCB2010
String
11
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.
20201012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