20230511
17345600
1.0
FALSE
Lanes_Thru456_Dissolve
002
file://\\SLC-FS01\Projects\_2022\22-219 - Traffic & Safety Vulnerable User Assessment\500_GIS Data\503_Projects\DRAFT_HighInjury_Network\DRAFT_HighInjury_Network.gdb
Local Area Network
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_12N
<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/10.6'><WKT>PROJCS["NAD_1983_UTM_Zone_12N",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]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-111.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26912]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-822.92123868955923</MOrigin><MScale>4194304001953.124</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26912</WKID><LatestWKID>26912</LatestWKID></ProjectedCoordinateSystem>
Dissolve Lanes_Thru456 "P:\_2022\22-219 - Traffic & Safety Vulnerable User Assessment\500_GIS Data\503_Projects\DRAFT_HighInjury_Network\DRAFT_HighInjury_Network.gdb\Lanes_Thru456_Dissolve" # # MULTI_PART DISSOLVE_LINES
20230511
17345700
20230511
17345700
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
Lanes_Thru456_Dissolve
File Geodatabase Feature Class
dataset
EPSG
6.13(3.0.1)
0
Simple
FALSE
0
TRUE
TRUE
Lanes_Thru456_Dissolve
Feature Class
0
OBJECTID
OBJECTID_1
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.
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
20230511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