20211116
14282100
1.0
FALSE
Project S:\I-6\GIS\BKG\vg250_20\vg250_12-31.utm32s.shape.ebenen\vg250_12-31.utm32s.shape.ebenen\vg250_ebenen_1231\VG250_GEM.shp S:\I-6\GIS\DB-GEOM-inArbeit\Gebiete\Analyse\VG250_2020.gdb\VG250_Gemeinden1220 PROJCS["WGS_1984_Lambert_Conformal_Conic",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",10.5],PARAMETER["Standard_Parallel_1",48.66666666666666],PARAMETER["Standard_Parallel_2",53.66666666666666],PARAMETER["Latitude_Of_Origin",51.0],UNIT["Meter",1.0]] ETRS_1989_To_WGS_1984 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]] NO_PRESERVE_SHAPE # NO_VERTICAL
UpdateSchema "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/2.8.0'><WorkspaceConnectionString>DATABASE=S:\I-6\GIS\DB-GEOM-inArbeit\Gebiete\Analyse\VG250_2020.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>VG250_Gemeinden1220</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>GKZ1220</field_name><field_type>DOUBLE</field_type><field_alias>GKZ1220</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
Project VG250_Gemeinden1220 S:\I-6\GIS\DB-GEOM-inArbeit\Gebiete\Analyse\VG250_2020.gdb\VG250_Gemeinden1220_1 PROJCS["ETRS_1989_LAEA",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["False_Easting",4321000.0],PARAMETER["False_Northing",3210000.0],PARAMETER["Central_Meridian",10.0],PARAMETER["Latitude_Of_Origin",52.0],UNIT["Meter",1.0]] ETRS_1989_To_WGS_1984 PROJCS["WGS_1984_Lambert_Conformal_Conic",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",10.5],PARAMETER["Standard_Parallel_1",48.66666666666666],PARAMETER["Standard_Parallel_2",53.66666666666666],PARAMETER["Latitude_Of_Origin",51.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
Rename S:\I-6\GIS\DB-GEOM-inArbeit\Gebiete\Analyse\VG250_2020.gdb\VG250_Gemeinden1220_1 S:\I-6\GIS\DB-GEOM-inArbeit\Gebiete\Analyse\VG250_2020.gdb\VG250_Gemeinden1220 FeatureClass
CalculateField VG250_Gemeinden1220 ags_num [AGS] VB #
UpdateSchema "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/2.9.0'><WorkspaceConnectionString>DATABASE=\\c039-ffm\FileShare\Arbeitsbereich_ProduktionsDaten\Deutschland\DE-Atlas\02_Basisdaten\2022_ZA\VG250_2020_korr.gdb\VG250_2020.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>VG250_Gemeinden1220</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>flaeche</field_name><field_type>DOUBLE</field_type><field_alias>flaeche</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField VG250_Gemeinden1220 flaeche !Shape_Area! "Python 3" # Text NO_ENFORCE_DOMAINS
FeatureClassToFeatureClass VG250_Gemeinden1220 \\c039-ffm\FileShare\Arbeitsbereich_ProduktionsDaten\Deutschland\DE-Atlas\03_Fachdaten\2022_HA\Gemeinden1220.gdb VG250_Gemeinden1220_join_all # "ADE "ADE" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.ADE,-1,-1;GF "GF" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.GF,-1,-1;BSG "BSG" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.BSG,-1,-1;ARS "ARS" true true false 12 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.ARS,0,12;AGS "AGS" true true false 8 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.AGS,0,8;SDV_ARS "SDV_ARS" true true false 12 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SDV_ARS,0,12;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.GEN,0,60;BEZ "BEZ" true true false 40 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.BEZ,0,40;IBZ "IBZ" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.IBZ,-1,-1;BEM "BEM" true true false 40 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.BEM,0,40;NBD "NBD" true true false 4 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.NBD,0,4;SN_L "SN_L" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_L,0,2;SN_R "SN_R" true true false 1 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_R,0,1;SN_K "SN_K" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_K,0,2;SN_V1 "SN_V1" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_V1,0,2;SN_V2 "SN_V2" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_V2,0,2;SN_G "SN_G" true true false 3 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_G,0,3;FK_S3 "FK_S3" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.FK_S3,0,2;NUTS "NUTS" true true false 5 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.NUTS,0,5;ARS_0 "ARS_0" true true false 12 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.ARS_0,0,12;AGS_0 "AGS_0" true true false 8 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.AGS_0,0,8;WSK "WSK" true true false 8 Date 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.WSK,-1,-1;DEBKG_ID "DEBKG_ID" true true false 16 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.DEBKG_ID,0,16;GKZ1220 "GKZ1220" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.GKZ1220,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.Shape_Area,-1,-1;flaeche "flaeche" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.flaeche,-1,-1;Gebietskennziffer "Gebietskennziffer" true true false 4 Long 0 0,First,#,VG250_Gemeinden1220,gem20.csv.Gebietskennziffer,-1,-1;name "name" true true false 8000 Text 0 0,First,#,VG250_Gemeinden1220,gem20.csv.name,0,8000;bev_dicht "bev_dicht" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.bev_dicht,-1,-1;bev_entw "bev_entw" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.bev_entw,-1,-1;st_einnkr "st_einnkr" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.st_einnkr,-1,-1;v_breitb50 "v_breitb50" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.v_breitb50,-1,-1;v_breitb1000 "v_breitb1000" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.v_breitb1000,-1,-1;p_apo "p_apo" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.p_apo,-1,-1" #
FeatureClassToFeatureClass VG250_Gemeinden1220_join_all \\c039-ffm\FileShare\Arbeitsbereich_ProduktionsDaten\Deutschland\DE-Atlas\03_Fachdaten\2022_HA\Gemeinden1220.gdb st_einnkr # "GF "GF" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220_join_all,GF,-1,-1;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_Gemeinden1220_join_all,GEN,0,60;BEZ "BEZ" true true false 40 Text 0 0,First,#,VG250_Gemeinden1220_join_all,BEZ,0,40;Gebietskennziffer "Gebietskennziffer" true true false 4 Long 0 0,First,#,VG250_Gemeinden1220_join_all,Gebietskennziffer,-1,-1;name "name" true true false 8000 Text 0 0,First,#,VG250_Gemeinden1220_join_all,name,0,8000;st_einnkr "st_einnkr" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220_join_all,st_einnkr,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,VG250_Gemeinden1220_join_all,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,VG250_Gemeinden1220_join_all,Shape_Area,-1,-1" #
file://\\c039-ffm\FileShare\Arbeitsbereich_ProduktionsDaten\Deutschland\DE-Atlas\03_Fachdaten\2022_HA\Gemeinden1220.gdb
Local Area Network
st_einnkr
002
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_LAEA
<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/2.9.0'><WKT>PROJCS["ETRS_1989_LAEA",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["False_Easting",4321000.0],PARAMETER["False_Northing",3210000.0],PARAMETER["Central_Meridian",10.0],PARAMETER["Latitude_Of_Origin",52.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3035]]</WKT><XOrigin>-8426600</XOrigin><YOrigin>-9526700</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>3035</WKID><LatestWKID>3035</LatestWKID></ProjectedCoordinateSystem>
20220726
11591800
20220726
11591800
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.9.2.32739
st_einnkr_HA2022
deutschlandatlas
Steuereinnahmekraft je Einwohner__in im Jahr 2020 in €
File Geodatabase Feature Class
dataset
EPSG
6.7(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
st_einnkr
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.
GF
GF
SmallInteger
2
0
0
GEN
GEN
String
60
0
0
BEZ
BEZ
String
40
0
0
Gebietskennziffer
Gebietskennziffer
Integer
4
0
0
name
name
String
8000
0
0
st_einnkr
st_einnkr
Double
8
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.
20220726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