20240130
18351300
1.0
FALSE
maingis.GIS.Yountville_Zoning
002
0.000
Server=gisdataprod04; Service=sde:sqlserver:gisdataprod04; Database=maingis; User=gis; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_II_FIPS_0402_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/3.1.0'><WKT>PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2226]]</WKT><XOrigin>-115211800</XOrigin><YOrigin>-93821500</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>102642</WKID><LatestWKID>2226</LatestWKID></ProjectedCoordinateSystem>
ExportFeatures Land_Use "C:\Repos\Dataconnections\Dev\gis - maingis.sde\Maingis.GIS.Yountville_Zoning" # NOT_USE_ALIAS "Zone "Zone" true true false 50 Text 0 0,First,#,Land_Use,Zone,0,50;GlobalID "GlobalID" true true false 38 Text 0 0,First,#,Land_Use,GlobalID,0,38;Link "Link" true true false 254 Text 0 0,First,#,Land_Use,Link,0,254;Descr "Descr" true true false 254 Text 0 0,First,#,Land_Use,Descr,0,254" #
CopyFeatures "C:\Repos\Dataconnections\Prod\gis - maingis.sde\maingis.GIS.Yountville_Zoning" "C:\Repos\Dataconnections\Test\gis - maingis.sde\maingis.GIS.Yountville_Zoning" # # # #
DefineProjection "C:\Repos\Dataconnections\Test\gis - maingis.sde\maingis.GIS.Yountville_Zoning" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]]
CopyFeatures "C:\Repos\Dataconnections\Test\gis - maingis.sde\maingis.GIS.Yountville_Zoning" "C:\Repos\Dataconnections\Prod\gis - maingis.sde\maingis.GIS.Yountville_Zoning" # # # #
20240625
09381600
20240625
09381600
150000000
5000
ISO19139
Esri ArcGIS 12.9.0.32739
Yountville_Zoning
To depict Zoning Boundaries in the municipality of Yountville.
<div style='text-align:Left;'><div><p><span>This layer was provided by Kyle Johnson in January 2024. Kyle is an Assistant Planner in Yountville, his email address is kjohnson@yville.com.</span></p></div></div>
Yountville
Zoning
Land Use
Enterprise Geodatabase Feature Class
0.000
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
maingis.GIS.Yountville_Zoning
Feature Class
0
OBJECTID
OBJECTID
OID
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.
Zone
Zone
String
50
0
0
GlobalID
GlobalID
String
38
0
0
Descr
Descr
String
254
0
0
Link
Link
String
254
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20240625
gisstaff@countyofnapa.org
Napa County
GIS Specialist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