20200901
13574400
1.0
FALSE
CreateFeatureclass D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb boundary_LC Polygon # No Yes "PROJCS['MGI_Austria_GK_M34',GEOGCS['GCS_MGI',DATUM['D_MGI',SPHEROID['Bessel_1841',6377397.155,299.1528128]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',750000.0],PARAMETER['False_Northing',-5000000.0],PARAMETER['Central_Meridian',16.33333333333334],PARAMETER['Scale_Factor',1.0],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-4872500 -15001000 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # #
Update boundary_LC LC_05m_re_poly_fdataset_import D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_holes_filled BORDERS #
MultipartToSinglepart LC_05m_re_poly_singlepart_0920_holes_filled D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_holes_filled_single
SpatialJoin LC_05m_re_poly_singlepart_0920_holes_filled_single LC_05m_re_poly_fdataset_import D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_holes_filled_single_attrib "Join one to one" KEEP_ALL "ORIG_FID "ORIG_FID" true true false 4 Long 0 0,First,#,LC_05m_re_poly_singlepart_0920_holes_filled_single,ORIG_FID,-1,-1;Shape_Leng "Shape_Length" false true true 8 Double 0 0,First,#,LC_05m_re_poly_singlepart_0920_holes_filled_single,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,LC_05m_re_poly_singlepart_0920_holes_filled_single,Shape_Area,-1,-1;Id "Id" true true false 4 Long 0 0,First,#,LC_05m_re_poly_fdataset_import,Id,-1,-1;gridcode "gridcode" true true false 4 Long 0 0,First,#,LC_05m_re_poly_fdataset_import,gridcode,-1,-1;ORIG_FID_1 "ORIG_FID" true true false 4 Long 0 0,First,#,LC_05m_re_poly_fdataset_import,ORIG_FID,-1,-1;Shape_Le_1 "Shape_Length" false true true 8 Double 0 0,First,#,LC_05m_re_poly_fdataset_import,Shape_Length,-1,-1;Shape_Ar_1 "Shape_Area" false true true 8 Double 0 0,First,#,LC_05m_re_poly_fdataset_import,Shape_Area,-1,-1" "Are identical to" # #
CalculateField LC_05m_re_poly_singlepart_0920_holes_filled_single_attrib gridcode '0' "Python 3" # Text
DeleteField LC_05m_re_poly_singlepart_0920_holes_filled_single_attrib Id;Join_Count;ORIG_FID;ORIG_FID_1;Shape_Ar_1;Shape_Le_1;Shape_Leng;TARGET_FID
Eliminate LC_05m_re_poly_singlepart_0920_holes_filled_single_attrib D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_holes_filled_single_attrib_elim LENGTH # #
Eliminate LC_05m_re_poly_singlepart_0920_holes_filled_single_attrib_elim D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_elim_1sqm_elim LENGTH # #
Eliminate LC_05m_re_poly_singlepart_0920_elim_1sqm_elim D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_elim_10sqm_elim LENGTH # #
Eliminate LC_05m_re_poly_singlepart_0920_elim_10sqm_elim D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_elim_50sqm_elim LENGTH # #
Eliminate LC_05m_re_poly_singlepart_0920_elim_50sqm_elim D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_elim_50sqm_0er_500sqm_elim LENGTH # #
Eliminate LC_05m_re_poly_singlepart_0920_elim_50sqm_0er_500sqm_elim D:\Forschung\Projekt_Kohler\GISDAT\test_geodb_0920_temp.gdb\LC_05m_re_poly_singlepart_0920_elim_100sqm_0er_500sqm_elim LENGTH # #
SmoothPolygon LC_05m_re_poly_singlepart_0920_elim_100sqm_0er_500sqm_elim D:\Forschung\Projekt_Kohler\temp\LC_05m_re_poly_singlepart_0920_100_500_thresh_smooth_1_5_m.shp "Polynomial Approximation with Exponential Kernel (PAEK)" "1,5 Meters" FIXED_ENDPOINT "Check and flag topological errors" #
FeatureClassToFeatureClass LC_05m_re_poly_singlepart_0920_100_500_thresh_smooth_1_5_m F:\Cloud_GIS\WebMap\WebMap_Data_prep_0720\WebMap_Data_prep_0720.gdb LC_repoly_cleaned_for_webmap_0920 # "gridcode "gridcode" true true false 10 Long 0 10,First,#,LC_05m_re_poly_singlepart_0920_100_500_thresh_smooth_1_5_m,gridcode,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,LC_05m_re_poly_singlepart_0920_100_500_thresh_smooth_1_5_m,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,LC_05m_re_poly_singlepart_0920_100_500_thresh_smooth_1_5_m,Shape_Area,-1,-1;InPoly_FID "InPoly_FID" true true false 10 Long 0 10,First,#,LC_05m_re_poly_singlepart_0920_100_500_thresh_smooth_1_5_m,InPoly_FID,-1,-1;SmoPgnFlag "SmoPgnFlag" true true false 5 Long 0 5,First,#,LC_05m_re_poly_singlepart_0920_100_500_thresh_smooth_1_5_m,SmoPgnFlag,-1,-1" #
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/2.6.0'><WorkspaceConnectionString>DATABASE=D:\Cloud_GIS\WebMap\WebMap_Data_prep_0720\WebMap_Data_prep_0720.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>LC_repoly_cleaned_for_webmap_0920</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Landbedeckungsklasse</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>Landbedeckungsklasse</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Unklassifiziert' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Acker' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Begrünte Fläche' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Gebäude' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Begrünte Fläche' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Brachfläche' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Gehölzbrache' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Feldgehölz' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Fließgewässer' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Wald' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Forst, alt' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Gewässerrand' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Stillgewässer, künstlich angelegt' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Güterweg' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Hecke' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Sodalacke' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Obstplantage' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Eisenbahn' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Rain' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Straße' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Schilf' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Neusiedler See' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Siedlung' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Streuobst' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Weide, extensiv' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Weide, mäßig intensiv' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Weingarten, intensiv' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Weingarten, mäßig intensiv' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Wiese, extensiv' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Wiese, intensiv' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Wiese, mäßig intensiv' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Ried' "Python 3" # Text
CalculateField "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" Landbedeckungsklasse 'Forst, jung' "Python 3" # Text
FeatureClassToFeatureClass "Themenlayer other\LC_repoly_cleaned_for_webmap_0920" D:\Cloud_GIS\WebMap\WebMap_Data_prep_0720\LC_layer_1020_for_upload LC_repoly_clean_webmap_plus_lc_attrib_1020.shp # "gridcode "gridcode" true true false 4 Long 0 0,First,#,Themenlayer other\LC_repoly_cleaned_for_webmap_0920,gridcode,-1,-1;Shape_Leng "Shape_Leng" true true false 8 Double 0 0,First,#,Themenlayer other\LC_repoly_cleaned_for_webmap_0920,Shape_Leng,-1,-1;InPoly_FID "InPoly_FID" true true false 4 Long 0 0,First,#,Themenlayer other\LC_repoly_cleaned_for_webmap_0920,InPoly_FID,-1,-1;SmoPgnFlag "SmoPgnFlag" true true false 4 Long 0 0,First,#,Themenlayer other\LC_repoly_cleaned_for_webmap_0920,SmoPgnFlag,-1,-1;Shape_Le_1 "Shape_Length" false true true 8 Double 0 0,First,#,Themenlayer other\LC_repoly_cleaned_for_webmap_0920,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Themenlayer other\LC_repoly_cleaned_for_webmap_0920,Shape_Area,-1,-1;Landbedeck "Landbedeckungsklasse" true true false 255 Text 0 0,First,#,Themenlayer other\LC_repoly_cleaned_for_webmap_0920,Landbedeckungsklasse,0,255" #
FeatureClassToFeatureClass LC_repoly_clean_webmap_plus_lc_attrib_1020 Z:\npn\Michael\test\npneusiedlersee.gisdb.sde LC_attrib_fine_1020 # "gridcode "gridcode" true true false 10 Long 0 10,First,#,LC_repoly_clean_webmap_plus_lc_attrib_1020,gridcode,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,LC_repoly_clean_webmap_plus_lc_attrib_1020,Shape_Leng,-1,-1;InPoly_FID "InPoly_FID" true true false 10 Long 0 10,First,#,LC_repoly_clean_webmap_plus_lc_attrib_1020,InPoly_FID,-1,-1;SmoPgnFlag "SmoPgnFlag" true true false 10 Long 0 10,First,#,LC_repoly_clean_webmap_plus_lc_attrib_1020,SmoPgnFlag,-1,-1;Shape_Le_1 "Shape_Le_1" true true false 19 Double 0 0,First,#,LC_repoly_clean_webmap_plus_lc_attrib_1020,Shape_Le_1,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,LC_repoly_clean_webmap_plus_lc_attrib_1020,Shape_Area,-1,-1;Landbedeck "Landbedeck" true true false 254 Text 0 0,First,#,LC_repoly_clean_webmap_plus_lc_attrib_1020,Landbedeck,0,254" #
gis.DBO.LC_attrib_fine_1020
002
Server=w2k19npasql; Service=sde:sqlserver:w2k19npasql\npneusiedlersee; Database=gis; Version=sde.DEFAULT
ArcSDE Connection
0.000
Projected
GCS_MGI
Linear Unit: Meter (1.000000)
MGI_Austria_GK_M34
<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/2.6.0'><WKT>PROJCS["MGI_Austria_GK_M34",GEOGCS["GCS_MGI",DATUM["D_MGI",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",750000.0],PARAMETER["False_Northing",-5000000.0],PARAMETER["Central_Meridian",16.33333333333334],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",31259]]</WKT><XOrigin>-4872500</XOrigin><YOrigin>-15001000</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>31259</WKID><LatestWKID>31259</LatestWKID></ProjectedCoordinateSystem>
20201005
13373800
20201005
13373800
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.6.0.24783
gis_DBO_LC_attrib_fine_1020
LC
landcover
Landbedeckung
Funktionalitätsanalyse
Landbedeckung Seewinkel urspr. für strukturbasierte Ökologische Funktionalitätsanalyse
Enterprise-Geodatabase-Feature-Class
0.000
dataset
EPSG
6.12(9.3.0.0)
0
Simple
FALSE
0
TRUE
TRUE
gis.DBO.LC_attrib_fine_1020
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.
gridcode
gridcode
Integer
4
10
0
Shape_Leng
Shape_Leng
Double
8
38
8
InPoly_FID
InPoly_FID
Integer
4
10
0
SmoPgnFlag
SmoPgnFlag
Integer
4
10
0
Shape_Le_1
Shape_Le_1
Double
8
38
8
Landbedeck
Landbedeck
String
254
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20201005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=