20220714
11183600
1.0
FALSE
Windenergieanlagen_je_EW
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>
ExportFeatures "Windenergieanlagen je 1 000 Einwohner/innen" G:\p-Georeferenzierung\Vv\02_Projekte\Windenergie\2022\WEA_2022\WEA_2022.gdb\Windenergieanlagen_je_EW # NOT_USE_ALIAS "art "ART" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.art,0,80;gn "GN" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.gn,0,80;kn "KN" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.kn,0,80;koord_g "KOORD_G" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.koord_g,0,80;koord_o "KOORD_O" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.koord_o,0,80;laenge_g "LAENGE_G" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.laenge_g,0,80;laenge_o "LAENGE_O" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.laenge_o,0,80;stand "STAND" true true false 29 Date 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.stand,-1,-1;name "Name" true true false 80 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.name,0,80;anzahl "Anzahl" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.anzahl,-1,-1;s__l__w "S__L__W" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.s__l__w,-1,-1;m__l__w "M__L__W" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.m__l__w,-1,-1;a_wka__ "A_WKA__" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.a_wka__,-1,-1;anzwka_ "AnzWKA²" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.anzwka_,-1,-1;lstngj_ "Lstngj²" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.lstngj_,-1,-1;mttlrl_ "MttlrL²" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.mttlrl_,-1,-1;SHAPE__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.SHAPE__Length,-1,-1;SHAPE__Area "SHAPE__Area" false true true 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.SHAPE__Area,-1,-1;wkapro1000ew "WKA pro 1 000 EW" true true false 0 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,L0gem_wind.wkapro1000ew,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,Windenergieanlagen je 1 000 Einwohner/innen,WEA_je_EW_2022.OBJECTID,-1,-1;Field1 "Field1" true true false 4 Long 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,WEA_je_EW_2022.Field1,-1,-1;Gemeindekennziffer "Gemeindekennziffer" true true false 4 Long 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,WEA_je_EW_2022.Gemeindekennziffer,-1,-1;Anzahl_WEA_2022 "Anzahl_WEA_2022" true true false 4 Long 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,WEA_je_EW_2022.Anzahl_WEA_2022,-1,-1;BEVSTD__Bevoelkerungsstand__Anzahl "BEVSTD__Bevoelkerungsstand__Anzahl" true true false 4 Long 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,WEA_je_EW_2022.BEVSTD__Bevoelkerungsstand__Anzahl,-1,-1;wea_je_ew "wea_je_ew" true true false 8 Double 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,WEA_je_EW_2022.wea_je_ew,-1,-1;AGS "AGS" true true false 255 Text 0 0,First,#,Windenergieanlagen je 1 000 Einwohner/innen,WEA_je_EW_2022.AGS,0,255" #
20240528
08592600
20240528
08592600
Windenergie
Anzahl WKA pro 10.000 EW
Windenergieanlagen je 1 000 Einwohner_innen
5.76511095899318
9.46865479713457
52.5320014163859
50.3102678378086
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.0.41833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Feature-Class in File-Geodatabase
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Windenergieanlagen_je_EW
Feature Class
0
OBJECTID_1
OBJECTID_1
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.
art
ART
String
80
0
0
gn
GN
String
80
0
0
kn
KN
String
80
0
0
koord_g
KOORD_G
String
80
0
0
koord_o
KOORD_O
String
80
0
0
laenge_g
LAENGE_G
String
80
0
0
laenge_o
LAENGE_O
String
80
0
0
stand
STAND
Date
8
0
0
name
Name
String
80
0
0
anzahl
Anzahl
Double
8
0
0
s__l__w
S__L__W
Double
8
0
0
m__l__w
M__L__W
Double
8
0
0
a_wka__
A_WKA__
Double
8
0
0
anzwka_
AnzWKA²
Double
8
0
0
lstngj_
Lstngj²
Double
8
0
0
mttlrl_
MttlrL²
Double
8
0
0
wkapro1000ew
WKA pro 1 000 EW
Double
8
0
0
OBJECTID
OBJECTID
Integer
4
0
0
Field1
Field1
Integer
4
0
0
Gemeindekennziffer
Gemeindekennziffer
Integer
4
0
0
Anzahl_WEA_2022
Anzahl_WEA_2022
Integer
4
0
0
BEVSTD__Bevoelkerungsstand__Anzahl
BEVSTD__Bevoelkerungsstand__Anzahl
Integer
4
0
0
wea_je_ew
wea_je_ew
Double
8
0
0
AGS
AGS
String
255
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20240528