20250507
09083900
1.0
FALSE
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\Duurzaamheid\Klimaatadaptatie\Bodegraven\wetransfer_aangesloten-verhard-oppervlak_2025-04-29_1808</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>BGT_Afwatering_201201.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>symbol</field_name><field_type>LONG</field_type><field_is_nullable>False</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\Duurzaamheid\Klimaatadaptatie\Bodegraven\wetransfer_aangesloten-verhard-oppervlak_2025-04-29_1808</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>BGT_Afwatering_201201.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>symbolgoed</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CopyFeatures BGT_Afwatering_201201 "P:\Blizdata\Duurzaamheid\Klimaatadaptatie\Bodegraven\stresstest 2025\stresstest 2025 BoRe\stresstest 2025 BoRe.gdb\BGT_Afwatering_201201_CopyFeatures" # # # #
CalculateField BGT_Afwatering_201201_CopyFeatures symbolgoed Reclass(!MV____!,!WATER____!,!GEM____!,!HWA____!,!HWA_VGS___!,!GI____!)
"Python 3" "def Reclass(A,B,C,D,E,F):
if (A==100):
return "MV"
elif (B==100):
return "Water"
elif (C==100):
return "Gemengd"
elif (D==100):
return "HWA"
elif (E==100):
return "VGS"
elif (F==100):
return "GI"
" Text NO_ENFORCE_DOMAINS
BGT_Afwatering_201201_CopyFeatures
002
file://\\omgeving.local\DATA\Applications\Blizdata\Duurzaamheid\Klimaatadaptatie\Bodegraven\stresstest 2025\stresstest 2025 BoRe\stresstest 2025 BoRe.gdb
Local Area Network
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>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>28992</WKID><LatestWKID>28992</LatestWKID></ProjectedCoordinateSystem>
20250507
09480400
20250507
09480400
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.1.0.41833
Afwatering BGT Bodegraven Reeuwijk
stresstesten
Klimaatadaptatie
Bodegraven Reeuwijk
Afwatering BGT Bodegraven Reeuwijk
File Geodatabase Feature Class
dataset
EPSG
4.5(8.0.1)
0
Simple
FALSE
0
TRUE
FALSE
BGT_Afwatering_201201_CopyFeatures
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.
fid_1
fid_1
Double
8
0
0
cat
cat
Integer
4
0
0
cat_
cat_
Integer
4
0
0
cat__1
cat__1
Integer
4
0
0
cat__1_1
cat__1_1
Integer
4
0
0
cat__1_1_1
cat__1_1_1
Integer
4
0
0
cat__1_1_2
cat__1_1_2
Integer
4
0
0
cat__1_1_3
cat__1_1_3
Integer
4
0
0
gml_id
gml_id
String
254
0
0
creationDa
creationDa
String
10
0
0
LV_publica
LV_publica
String
23
0
0
inOnderzoe
inOnderzoe
String
5
0
0
tijdstipRe
tijdstipRe
String
23
0
0
namespace
namespace
String
8
0
0
lokaalID
lokaalID
String
38
0
0
bronhouder
bronhouder
String
5
0
0
bgt_status
bgt_status
String
8
0
0
plus_statu
plus_statu
String
10
0
0
class
class
String
20
0
0
begroeidTe
begroeidTe
String
5
0
0
plus_fysie
plus_fysie
String
22
0
0
terminatio
terminatio
String
10
0
0
eindRegist
eindRegist
String
23
0
0
bgt_fysiek
bgt_fysiek
String
19
0
0
onbegroeid
onbegroeid
String
5
0
0
plus_type
plus_type
String
14
0
0
function
function
String
21
0
0
surfaceMat
surfaceMat
String
19
0
0
ondersteun
ondersteun
String
5
0
0
plus_funct
plus_funct
String
14
0
0
plus_fys_1
plus_fys_1
String
22
0
0
bgt_type
bgt_type
String
11
0
0
identifica
identifica
String
16
0
0
tekst
tekst
String
254
0
0
hoek
hoek
String
254
0
0
identifi_1
identifi_1
String
254
0
0
identifi_2
identifi_2
String
254
0
0
wegdeelOpT
wegdeelOpT
String
5
0
0
plus_fys_2
plus_fys_2
String
17
0
0
plus_fun_1
plus_fun_1
String
15
0
0
layer
layer
String
100
0
0
path
path
String
200
0
0
oppv
oppv
Double
8
0
0
OPPV_1
OPPV_1
Double
8
0
0
id
id
String
254
0
0
identifi_3
identifi_3
String
254
0
0
identifi_4
identifi_4
String
254
0
0
beginGeldi
beginGeldi
String
254
0
0
tijdstip_1
tijdstip_1
String
254
0
0
volgnummer
volgnummer
Integer
4
0
0
statusHist
statusHist
String
254
0
0
statusHi_1
statusHi_1
String
254
0
0
kadastrale
kadastrale
String
254
0
0
kadastra_1
kadastra_1
String
254
0
0
sectie
sectie
String
254
0
0
AKRKadastr
AKRKadastr
String
254
0
0
AKRKadas_1
AKRKadas_1
String
254
0
0
kadastra_2
kadastra_2
Double
8
0
0
soortGroot
soortGroot
String
254
0
0
soortGro_1
soortGro_1
String
254
0
0
perceelnum
perceelnum
Integer
4
0
0
Omschrijvi
Omschrijvi
String
254
0
0
Hoofdgroep
Hoofdgroep
String
254
0
0
status
status
String
254
0
0
gebruiksdo
gebruiksdo
String
254
0
0
openbare_r
openbare_r
String
254
0
0
huisnummer
huisnummer
Double
8
0
0
huisletter
huisletter
String
254
0
0
toevoeging
toevoeging
String
254
0
0
postcode
postcode
String
254
0
0
woonplaats
woonplaats
String
254
0
0
bouwjaar
bouwjaar
Double
8
0
0
pandstatus
pandstatus
String
254
0
0
BAG_id
BAG_id
String
50
0
0
DWA
DWA
Double
8
0
0
Afstkolk
Afstkolk
Double
8
0
0
HWA
HWA
Double
8
0
0
HWA_VGS
HWA_VGS
Double
8
0
0
GEM
GEM
Double
8
0
0
GI
GI
Double
8
0
0
WATER
WATER
Double
8
0
0
datetimePH
datetimePH
String
31
0
0
Default_H
Default_H
Double
8
0
0
Default_S
Default_S
Double
8
0
0
H_mean
H_mean
Double
8
0
0
H_median
H_median
Double
8
0
0
H_min
H_min
Double
8
0
0
H_max
H_max
Double
8
0
0
H_range
H_range
Double
8
0
0
S_mean
S_mean
Double
8
0
0
S_median
S_median
Double
8
0
0
S_min
S_min
Double
8
0
0
S_max
S_max
Double
8
0
0
S_range
S_range
Double
8
0
0
kenmerk
kenmerk
String
11
0
0
kenmHM
kenmHM
String
20
0
0
kenmAU
kenmAU
String
50
0
0
date_time
date_time
Date
8
0
0
bj_def
bj_def
Integer
4
0
0
hwavsgi
hwavsgi
Double
8
0
0
maxlen_pan
maxlen pan
Double
8
0
0
max_weg
max weg
Double
8
0
0
afstgemhwa
afstgemhwa
Double
8
0
0
max_wegwat
max wegwat
Double
8
0
0
min_weg_wa
min weg wa
Double
8
0
0
pandwater
pandwater
Double
8
0
0
maxafstkol
maxafstkol
Double
8
0
0
daken_afko
daken afko
Integer
4
0
0
DWA_afvoer
DWA afvoer
String
21
0
0
MV____
MV [%]
SmallInteger
2
0
0
WATER____
WATER [%]
SmallInteger
2
0
0
GEM____
GEM [%]
SmallInteger
2
0
0
HWA____
HWA [%]
SmallInteger
2
0
0
HWA_VGS___
HWA VGS[%]
SmallInteger
2
0
0
GI____
GI [%]
SmallInteger
2
0
0
somafvoer3
somafvoer3
Integer
4
0
0
symbol
symbol
Integer
4
0
0
symbolgoed
symbolgoed
String
254
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.
20250507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