20190219
14413800
FALSE
CreateFeatureclass "Database Connections\Connection to 000sitgis011.sde\MNTRY_CO.transportation" Harbors # Harbors_Layer SAME_AS_TEMPLATE SAME_AS_TEMPLATE "PROJCS['NAD_1983_StatePlane_California_IV_FIPS_0404_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',-119.0],PARAMETER['Standard_Parallel_1',36.0],PARAMETER['Standard_Parallel_2',37.25],PARAMETER['Latitude_Of_Origin',35.33333333333334],UNIT['Foot_US',0.3048006096012192]];4836163.871712 873826.170032 976.562499;0.000000 100000.000000;0.000000 100000.000000" FEATURES_SMALL 0 0 0 "Database Connections\Connection to 000sitgis011.sde\MNTRY_CO.transportation\MNTRY_CO.Harbors"
Append Harbors_Layer "Database Connections\Connection to 000sitgis011.sde\MNTRY_CO.transportation\MNTRY_CO.Harbors" TEST "Database Connections\Connection to 000sitgis011.sde\MNTRY_CO.transportation\MNTRY_CO.Harbors"
FeatureClassToFeatureClass D:\GIS\GeoDatabase\DarrylsPersonalGDB\County_Geography.mdb\Transportation\Harbors "Database Connections\Connection to 000sitgis011.sde\MNTRY_CO.transportation" Harbors # "Name Name VISIBLE" SAME_AS_TEMPLATE SAME_AS_TEMPLATE FEATURES_SMALL 0 "Database Connections\Connection to 000sitgis011.sde\MNTRY_CO.transportation\MNTRY_CO.Harbors"
CopyFeatures "Database Connections\eGeoDB1_DC.sde\M_CO.Transportation\M_CO.Harbors" "Database Connections\egeodb3.sde\M_CO.Transportation\M_CO.Harbors" # 0 0 0
EnableEditorTracking H:\ArcGISServerServices\ProductionTemplate\M_CO_prod.sde\Harbors created_user created_date last_editor last_edited_date ADD_FIELDS "Time zone of database"
M_CO.Harbors
002
Server=0000vegis10; Service=sde:sqlserver:0000vegis10; Database=egeodb5; User=m_co; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_IV_FIPS_0404_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/10.1'><WKT>PROJCS["NAD_1983_StatePlane_California_IV_FIPS_0404_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",-119.0],PARAMETER["Standard_Parallel_1",36.0],PARAMETER["Standard_Parallel_2",37.25],PARAMETER["Latitude_Of_Origin",35.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2228]]</WKT><XOrigin>-116466200</XOrigin><YOrigin>-92735300</YOrigin><XYScale>4000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.002</ZTolerance><MTolerance>1.9999999999999998e-005</MTolerance><HighPrecision>true</HighPrecision><WKID>102644</WKID><LatestWKID>2228</LatestWKID></ProjectedCoordinateSystem>
20150217
14041900
20150217
14041900
1.0
Server=000segis02; Service=5151; Database=eGeoDB1; User=m_co; Version=SDE.DEFAULT
Server=000segis02; Service=5151; Database=eGeoDB1; User=m_co; Version=SDE.DEFAULT
ArcSDE Connection
SDE Feature Class
Dataset copied.
Server=000sitgis011; Service=5151; Database=MCoGeoDB; User=mntry_co; Version=SDE.DEFAULT
20080806
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552
Harbors
Monterey County
transportation
harbors
Points locations of harbors in Monterey County
dataset
EPSG
8.2.6
0
Simple
FALSE
0
TRUE
FALSE
M_CO.Harbors
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
NAME
NAME
String
50
0
0
SHAPE
SHAPE
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
20150217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