20240501
15114100
1.0
FALSE
NorthAmericanEcoregion_ARC
002
file://\\pew.pewtrusts.org\pct\PCT Data\Dpt-Pew Center on the States\GIS\USENV\AppalachiaScoping_202404\AppalachiaScoping_202404_MAP\Default.gdb
Local Area Network
Projected
GCS_Sphere_ARC_INFO
Linear Unit: Meter (1.000000)
Sphere_ARC_INFO_Lambert_Azimuthal_Equal_Area
<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/3.1.0'><WKT>PROJCS["Sphere_ARC_INFO_Lambert_Azimuthal_Equal_Area",GEOGCS["GCS_Sphere_ARC_INFO",DATUM["D_Sphere_ARC_INFO",SPHEROID["Sphere_ARC_INFO",6370997.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-100.0],PARAMETER["Latitude_Of_Origin",45.0],UNIT["Meter",1.0]]</WKT><XOrigin>-12742100</XOrigin><YOrigin>-12742100</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></ProjectedCoordinateSystem>
ExportFeatures "EPA_Level_III_Ecoregions\North American Ecoregions - Level III" "Q:\Dpt-Pew Center on the States\GIS\USENV\AppalachiaScoping_202404\AppalachiaScoping_202404_MAP\Default.gdb\NorthAmericanEcoregion_ARC" # NOT_USE_ALIAS "NA_L3CODE "Level 3 Code" true true false 20 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L3CODE,0,20;NA_L3NAME "Level 3 Name" true true false 100 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L3NAME,0,100;NA_L2CODE "Level 2 Code" true true false 20 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L2CODE,0,20;NA_L2NAME "Level 2 Name" true true false 100 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L2NAME,0,100;NA_L1CODE "Level 1 Code" true true false 20 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L1CODE,0,20;NA_L1NAME "Level 1 Name" true true false 100 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L1NAME,0,100;NA_L3KEY "Level 3 Key" true true false 125 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L3KEY,0,125;NA_L2KEY "Level 2 Key" true true false 125 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L2KEY,0,125;NA_L1KEY "Level 1 Key" true true false 125 Text 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,NA_L1KEY,0,125;Shape__Area "Shape Area" false true true 0 Double 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,Shape__Area,-1,-1;Shape__Length "Shape Length" false true true 0 Double 0 0,First,#,EPA_Level_III_Ecoregions\North American Ecoregions - Level III,Shape__Length,-1,-1" #
20240501
15114100
20240501
15114100
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.1.0.41833
NorthAmericanEcoregion_ARC
File Geodatabase Feature Class
dataset
0
Simple
FALSE
0
TRUE
FALSE
NorthAmericanEcoregion_ARC
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.
NA_L3CODE
Level 3 Code
String
20
0
0
NA_L3NAME
Level 3 Name
String
100
0
0
NA_L2CODE
Level 2 Code
String
20
0
0
NA_L2NAME
Level 2 Name
String
100
0
0
NA_L1CODE
Level 1 Code
String
20
0
0
NA_L1NAME
Level 1 Name
String
100
0
0
NA_L3KEY
Level 3 Key
String
125
0
0
NA_L2KEY
Level 2 Key
String
125
0
0
NA_L1KEY
Level 1 Key
String
125
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.
20240501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