20201120
21293200
1.0
FALSE
LocalGovernment.ADMIN.WaterBodyNames
002
Server=cty-vchssdev1; Service=sde:sqlserver:cty-vchssdev1\ss2k14; Database=LocalGovernment; User=GISAdmin; Version=sde.DEFAULT
ArcSDE Connection
919007.976291
951996.733804
636523.752913
683780.823753
1
Projected
GCS_North_American_1983
NAD_1983_StatePlane_Florida_East_FIPS_0901_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/10.6'><WKT>PROJCS["NAD_1983_StatePlane_Florida_East_FIPS_0901_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",656166.6666666665],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",24.33333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2236]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>3048.0060960121914</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0</ZTolerance><MTolerance>0</MTolerance><HighPrecision>true</HighPrecision><WKID>102658</WKID><LatestWKID>2236</LatestWKID></ProjectedCoordinateSystem>
Linear Unit: Foot_US (0.304801)
FeatureClassToFeatureClass X:\UtilityShape\WaterbodyNames.shp "Database Connections\water.asbuilt.pwgis5.sde" WaterBodyNames # "Id "Id" true true false 6 Long 0 6 ,First,#,X:\UtilityShape\WaterbodyNames.shp,Id,-1,-1;Name "Name" true true false 50 Text 0 0 ,First,#,X:\UtilityShape\WaterbodyNames.shp,Name,-1,-1" #
CalculateField water.ASBUILT.WaterBodyNames Name "HIMMARSHEE CANAL" VB #
FeatureClassToFeatureClass J:\_DATA\To_LocGov.gdb\WaterBodyNames "Database Connections\Connection to EOC-GISDataPubV-Admin.sde\LocalGovernment.ADMIN.ReferenceData" WaterBodyNames # "Id "Id" true true false 4 Long 0 0 ,First,#,J:\_DATA\To_LocGov.gdb\WaterBodyNames,Id,-1,-1;Name "Name" true true false 50 Text 0 0 ,First,#,J:\_DATA\To_LocGov.gdb\WaterBodyNames,Name,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,J:\_DATA\To_LocGov.gdb\WaterBodyNames,Shape_Length,-1,-1;LASTUPDATE "LASTUPDATE" true true false 8 Date 0 0 ,First,#,J:\_DATA\To_LocGov.gdb\WaterBodyNames,LASTUPDATE,-1,-1;LASTEDITOR "LASTEDITOR" true true false 50 Text 0 0 ,First,#,J:\_DATA\To_LocGov.gdb\WaterBodyNames,LASTEDITOR,-1,-1" #
CalculateField LocalGovernment.ADMIN.WaterBodyNames created_user "CITY-HALL\JonSt" VB #
CalculateField LocalGovernment.ADMIN.WaterBodyNames last_edited_user [LASTUPDATE] VB #
CalculateField LocalGovernment.ADMIN.WaterBodyNames created_date [last_edited_user] VB #
CalculateField LocalGovernment.ADMIN.WaterBodyNames last_edited_user None PYTHON_9.3 #
20200103
12304700
20200103
12305700
150000000
5000
FGDC
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
WaterbodyNames
002
1
-80.199208
-80.097712
26.212617
26.082018
Names of waterbodies within the City of Fort Lauderdale.
<div style='text-align:Left;'><div><div><p><span>Names of waterbodies within the City of Fort Lauderdale.</span></p></div></div></div>
Waterbody Names
Reference Data
SDE Feature Class
dataset
EPSG
5.3(9.0.0)
Simple
FALSE
227
TRUE
FALSE
227
LocalGovernment.ADMIN.WaterBodyNames
Feature Class
227
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number
ESRI
Sequential unique whole numbers that are automatically generated.
Name
Name
String
50
0
0
The name of the waterbody
Shape
Shape
Geometry
4
0
0
Feature geometry
ESRI
Coordinates defining the features.
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
255
0
0
last_edited_date
last_edited_date
Date
8
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20200103
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