20240528
08352500
1.0
FALSE
AddSpatialIndex "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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'><WorkspaceConnectionString>DATABASE=G:\p-Georeferenzierung\Vv\02_Projekte\Windenergie\2022</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>wea_2022.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" 0 0 0
ExportFeatures "Windenergieanlagen (Stand 2022)" G:\p-Georeferenzierung\Vv\02_Projekte\Windenergie\2022\WEA_2022\WEA_2022.gdb\Windenergieanlagen_2022 # NOT_USE_ALIAS "LANUV_I "LANUV_I" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),LANUV_I,0,80;Rgrngsb "Rgrngsb" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Rgrngsb,0,80;Plnngsr "Plnngsr" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Plnngsr,0,80;Gmndknn "Gmndknn" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Gmndknn,0,80;Kreis "Kreis" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Kreis,0,80;PLZ "PLZ" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),PLZ,0,80;Gemeind "Gemeind" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Gemeind,0,80;Status "Status" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Status,0,80;Inb_Jhr "Inb_Jhr" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Inb_Jhr,0,80;Stllgng "Stllgng" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Stllgng,0,80;Gnhmgng "Gnhmgng" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Gnhmgng,0,80;Lst(kW) "Lst(kW)" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Lst(kW),0,80;Enrgtrg "Enrgtrg" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Enrgtrg,0,80;Hrstllr "Hrstllr" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Hrstllr,0,80;Anlgnty "Anlgnty" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Anlgnty,0,80;Drchmss "Drchmss" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Drchmss,0,80;Nabenhh "Nabenhh" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Nabenhh,0,80;Höhgsmt "Höhgsmt" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Höhgsmt,0,80;Stand "Stand" true true false 80 Text 0 0,First,#,Windenergieanlagen (Stand 2022),Stand,0,80;dat_stb "dat_stb" true true false 8 Date 0 0,First,#,Windenergieanlagen (Stand 2022),dat_stb,-1,-1;dt_clsd "dt_clsd" true true false 8 Date 0 0,First,#,Windenergieanlagen (Stand 2022),dt_clsd,-1,-1" #
AddGlobalIDs 'Windenergieanlagen (Stand 2022)'
Windenergieanlagen_2022
002
file://\\it.nrw.de\dfs-grp\p-Georeferenzierung\Vv\02_Projekte\Windenergie\2022\WEA_2022\WEA_2022.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_32N
<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["ETRS_1989_UTM_Zone_32N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",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",9.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25832]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>25832</WKID><LatestWKID>25832</LatestWKID></ProjectedCoordinateSystem>
20240528
08373800
20240528
08373800
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.0.41833
Windenergieanlagen_2022
Windenergie
2022
Feature-Class in File-Geodatabase
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Windenergieanlagen_2022
Feature Class
0
OBJECTID
OBJECTID
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.
LANUV_I
LANUV_I
String
80
0
0
Rgrngsb
Rgrngsb
String
80
0
0
Plnngsr
Plnngsr
String
80
0
0
Gmndknn
Gmndknn
String
80
0
0
Kreis
Kreis
String
80
0
0
PLZ
PLZ
String
80
0
0
Gemeind
Gemeind
String
80
0
0
Status
Status
String
80
0
0
Inb_Jhr
Inb_Jhr
String
80
0
0
Stllgng
Stllgng
String
80
0
0
Gnhmgng
Gnhmgng
String
80
0
0
Lst_kW_
Lst(kW)
String
80
0
0
Enrgtrg
Enrgtrg
String
80
0
0
Hrstllr
Hrstllr
String
80
0
0
Anlgnty
Anlgnty
String
80
0
0
Drchmss
Drchmss
String
80
0
0
Nabenhh
Nabenhh
String
80
0
0
Höhgsmt
Höhgsmt
String
80
0
0
Stand
Stand
String
80
0
0
dat_stb
dat_stb
Date
8
0
0
dt_clsd
dt_clsd
Date
8
0
0
20240528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