20220809
14423200
1.0
FALSE
GIS_Infra.GISADMIN.COLLECTOR_AADT
002
Server=AGSQL607GIS; Service=sde:sqlserver:AGSQL607GIS, 3180; Database=GIS_Infra; User=gisadmin; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Arizona_Central_FIPS_0202_Feet
<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/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_Arizona_Central_FIPS_0202_Feet",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",699998.6],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-111.9166666666667],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",31.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["Esri",102649]]</WKT><XOrigin>-17746700</XOrigin><YOrigin>-44067200</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102649</WKID><LatestWKID>102649</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass Collector_AADT "S:\GIS\Projects\Transportation\Traffic Counts 2022\Traffic Counts 22 v1.gdb" Collector_Roads # "SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0,First,#,Collector_AADT,SHAPE_Length,-1,-1" #
FeatureClassToFeatureClass Collector_AADT_2021 "S:\GIS\Projects\Transportation\Traffic Counts 2022\Traffic Counts 22 v1.gdb" Collector_AADT_2021 # "Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Collector_AADT_2021,Collector_Roads.Shape_Length,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,Collector_AADT_2021,AADT_Collector_2021.OBJECTID,-1,-1;OBJECTID_1 "OBJECTID_1" true true false 4 Long 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.OBJECTID_1,-1,-1;Street "Street" true true false 255 Text 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Street,0,255;From_ "From_" true true false 255 Text 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.From_,0,255;To "To" true true false 255 Text 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.To,0,255;Day_1_Total "Day 1 Total" true true false 4 Long 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Day_1_Total,-1,-1;Date_1 "Date 1" true true false 8 Date 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Date_1,-1,-1;Day "Day" true true false 255 Text 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Day,0,255;Month "Month" true true false 255 Text 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Month,0,255;Factor "Factor" true true false 8 Double 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Factor,-1,-1;AADT_Day_1 "AADT Day 1" true true false 8 Double 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.AADT_Day_1,-1,-1;Day_2_Total "Day 2 Total" true true false 4 Long 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Day_2_Total,-1,-1;Date_2 "Date 2" true true false 8 Date 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Date_2,-1,-1;Day_1 "Day" true true false 255 Text 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Day_1,0,255;Month_1 "Month" true true false 255 Text 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Month_1,0,255;Factor_1 "Factor" true true false 8 Double 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.Factor_1,-1,-1;AADT_Day_2 "AADT Day 2" true true false 8 Double 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.AADT_Day_2,-1,-1;AVG_AADT "AVG AADT" true true false 8 Double 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.AVG_AADT,-1,-1;LABEL "LABEL" true true false 8 Double 0 0,First,#,Collector_AADT_2021,AADT_Collector_2021.LABEL,-1,-1" #
ExportFeatures "Collector AADT" "S:\GIS\JBaltierra\SDE Connections\database_connections\database_connections\Gisadmin@GIS_Infra.sde\GIS_Infra.GISADMIN.COLLECTOR_AADT" # NOT_USE_ALIAS "OBJECTID "OBJECTID" true true false 4 Long 0 0,First,#,Collector AADT,OBJECTID,-1,-1;OBJECTID_1 "OBJECTID_1" true true false 4 Long 0 0,First,#,Collector AADT,OBJECTID_1,-1,-1;Street "Street" true true false 255 Text 0 0,First,#,Collector AADT,Street,0,255;From_ "From_" true true false 255 Text 0 0,First,#,Collector AADT,From_,0,255;To "To" true true false 255 Text 0 0,First,#,Collector AADT,To,0,255;Day_1_Total "Day 1 Total" true true false 4 Long 0 0,First,#,Collector AADT,Day_1_Total,-1,-1;Date_1 "Date 1" true true false 8 Date 0 0,First,#,Collector AADT,Date_1,-1,-1;Day "Day" true true false 255 Text 0 0,First,#,Collector AADT,Day,0,255;Month "Month" true true false 255 Text 0 0,First,#,Collector AADT,Month,0,255;Factor "Factor" true true false 8 Double 0 0,First,#,Collector AADT,Factor,-1,-1;AADT_Day_1 "AADT Day 1" true true false 8 Double 0 0,First,#,Collector AADT,AADT_Day_1,-1,-1;Day_2_Total "Day 2 Total" true true false 4 Long 0 0,First,#,Collector AADT,Day_2_Total,-1,-1;Date_2 "Date 2" true true false 8 Date 0 0,First,#,Collector AADT,Date_2,-1,-1;Day_1 "Day" true true false 255 Text 0 0,First,#,Collector AADT,Day_1,0,255;Month_1 "Month" true true false 255 Text 0 0,First,#,Collector AADT,Month_1,0,255;Factor_1 "Factor" true true false 8 Double 0 0,First,#,Collector AADT,Factor_1,-1,-1;AADT_Day_2 "AADT Day 2" true true false 8 Double 0 0,First,#,Collector AADT,AADT_Day_2,-1,-1;AVG_AADT "AVG AADT" true true false 8 Double 0 0,First,#,Collector AADT,AVG_AADT,-1,-1;LABEL "LABEL" true true false 8 Double 0 0,First,#,Collector AADT,LABEL,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Collector AADT,Shape_Length,-1,-1" #
20221103
15081400
20221103
15081400
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 13.0.2.36056
COLLECTOR_AADT
transportation
AADT
Collector Streets Average Annual Daily Traffic
Enterprise Geodatabase Feature Class
dataset
Esri
8.0.1
0
Simple
FALSE
0
TRUE
FALSE
GIS_Infra.GISADMIN.COLLECTOR_AADT
Feature Class
0
OBJECTID_12
OBJECTID_12
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
Integer
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID_1
OBJECTID_1
Integer
4
10
0
Street
Street
String
255
0
0
To_
To
String
255
0
0
From_
From_
String
255
0
0
Day_1_Total
Day 1 Total
Integer
4
10
0
Date_1
Date 1
Date
8
0
0
Day
Day
String
255
0
0
Month
Month
String
255
0
0
Factor
Factor
Double
8
38
8
AADT_Day_1
AADT Day 1
Double
8
38
8
Day_2_Total
Day 2 Total
Integer
4
10
0
Date_2
Date 2
Date
8
0
0
Day_1
Day
String
255
0
0
Month_1
Month
String
255
0
0
Factor_1
Factor
Double
8
38
8
AADT_Day_2
AADT Day 2
Double
8
38
8
AVG_AADT
AVG AADT
Double
8
38
8
LABEL
LABEL
Double
8
38
8
Shape.STLength()
Shape.STLength()
Double
0
0
0
20221103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