20250313
09382400
1.0
FALSE
CreateFeatureclass "P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb" Hitte_kansen_en_knelpunten_reg Polygon # No Yes "PROJCS["RD_New",GEOGCS["GCS_Amersfoort",DATUM["D_Amersfoort",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Double_Stereographic"],PARAMETER["False_Easting",155000.0],PARAMETER["False_Northing",463000.0],PARAMETER["Central_Meridian",5.38763888888889],PARAMETER["Scale_Factor",0.9999079],PARAMETER["Latitude_Of_Origin",52.15616055555555],UNIT["Meter",1.0]];-30515500 -30279500 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # #
UpdateSchema "P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Hitte_kansen_en_knelpunten_reg" <operationSequence><workflow><AddField><field_name>toelichting</field_name><field_type>TEXT</field_type><field_is_nullable>TRUE</field_is_nullable><field_length>25577</field_length></AddField></workflow><workflow><AddField><field_name>naam</field_name><field_type>TEXT</field_type><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow><workflow><AddField><field_name>kenmerk</field_name><field_type>TEXT</field_type><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow></operationSequence>
UpdateSchema "P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Hitte_kansen_en_knelpunten_reg" <operationSequence><workflow><AlterField><field_name>OBJECTID</field_name><field_alias>OBJECTID</field_alias></AlterField></workflow><workflow><AlterField><field_name>SHAPE</field_name><field_alias>SHAPE</field_alias></AlterField></workflow></operationSequence>
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/3.1.0'><WorkspaceConnectionString>DATABASE=P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Hitte_kansen_en_knelpunten_reg</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>toelichting</field_name><new_field_name>Opmerking</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>naam</field_name><new_field_name>Globale_locatie</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>kenmerk</field_name><new_field_name>Kans_Knel</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AddField><field_name>Field</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
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/3.1.0'><WorkspaceConnectionString>DATABASE=P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Hitte_kansen_en_knelpunten_reg</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Field</field_name></DeleteField></workflow></operationSequence>
CopyFeatures Hitte_kansen_en_knelpunten_reg "P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Wateroverlast2" # # # #
ExportFeatures "P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Wateroverlast2" "P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\Wateroverlast.shp" # NOT_USE_ALIAS "Opmerking "Opmerking" true true false 25577 Text 0 0,First,#,P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Wateroverlast2,Opmerking,0,25577;Globale_locatie "Globale_locatie" true true false 255 Text 0 0,First,#,P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Wateroverlast2,Globale_locatie,0,255;Kans_Knel "Kans_Knel" true true false 255 Text 0 0,First,#,P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Wateroverlast2,Kans_Knel,0,255;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Wateroverlast2,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,P:\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\RegionaleStresstesten\RegionaleStresstesten.gdb\Wateroverlast2,Shape_Area,-1,-1" #
Wateroverlast
002
file://\\omgeving.local\DATA\Applications\Blizdata\Bodem\Map Valentijn\RegionaleStresstesten\Wateroverlast.shp
Local Area Network
0.000
Projected
GCS_Amersfoort
Linear Unit: Meter (1.000000)
RD_New
<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["RD_New",GEOGCS["GCS_Amersfoort",DATUM["D_Amersfoort",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Double_Stereographic"],PARAMETER["False_Easting",155000.0],PARAMETER["False_Northing",463000.0],PARAMETER["Central_Meridian",5.38763888888889],PARAMETER["Scale_Factor",0.9999079],PARAMETER["Latitude_Of_Origin",52.15616055555555],UNIT["Meter",1.0],AUTHORITY["EPSG",28992]]</WKT><XOrigin>-30515500</XOrigin><YOrigin>-30279500</YOrigin><XYScale>146716411.36275291</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>28992</WKID><LatestWKID>28992</LatestWKID></ProjectedCoordinateSystem>
20250415
10375700
20250415
10375700
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.1.0.41833
Overstromingen kansen en knelpunten Regio
Regio
regionale stresstesten
Kansen en knelpunten
Shapefile
0.000
dataset
EPSG
4.5(8.0.1)
0
Simple
FALSE
0
FALSE
TRUE
Wateroverlast
Feature Class
0
FID
FID
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.
Opmerking
Opmerking
String
254
0
0
Globale_lo
Globale_lo
String
254
0
0
Kans_Knel
Kans_Knel
String
254
0
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20250415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