20221017
09383100
1.0
FALSE
gisdb.gisadmin.MO_TEC_Abribus
002
Server=10.5.2.154; Service=sde:postgresql:10.5.2.154; Database=gisdb; User=gisadmin; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_Belge_1972
Linear Unit: Meter (1.000000)
Belge_Lambert_1972
<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["Belge_Lambert_1972",GEOGCS["GCS_Belge_1972",DATUM["D_Belge_1972",SPHEROID["International_1924",6378388.0,297.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",150000.013],PARAMETER["False_Northing",5400088.438],PARAMETER["Central_Meridian",4.367486666666666],PARAMETER["Standard_Parallel_1",49.8333339],PARAMETER["Standard_Parallel_2",51.16666723333333],PARAMETER["Latitude_Of_Origin",90.0],UNIT["Meter",1.0],AUTHORITY["EPSG",31370]]</WKT><XOrigin>-35872700</XOrigin><YOrigin>-30622700</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>31370</WKID><LatestWKID>31370</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass Mobilité\MO_TEC_ABRIBUS "I:\Nid\Applications\ArcGIS Enterprise\Rapport d'installation\gisadmin@gisdb_srv167.sde\gisdb.gisadmin.Egalite_Chances_2022" MO_TEC_Abribus # "GID "GID" true true false 10 Long 0 10,First,#,Mobilité\MO_TEC_ABRIBUS,GID,-1,-1;GEOMETRY_O "GEOMETRY_O" true true false 21 Double 10 20,First,#,Mobilité\MO_TEC_ABRIBUS,GEOMETRY_O,-1,-1;APIC_STYLE "APIC_STYLE" true true false 254 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,APIC_STYLE,0,254;APIC_SPACE "APIC_SPACE" true true false 10 Long 0 10,First,#,Mobilité\MO_TEC_ABRIBUS,APIC_SPACE,-1,-1;APIC_STATE "APIC_STATE" true true false 10 Long 0 10,First,#,Mobilité\MO_TEC_ABRIBUS,APIC_STATE,-1,-1;APIC_CDATE "APIC_CDATE" true true false 8 Date 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,APIC_CDATE,-1,-1;APIC_MDATE "APIC_MDATE" true true false 8 Date 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,APIC_MDATE,-1,-1;AUTEUR_MOD "AUTEUR_MOD" true true false 254 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,AUTEUR_MOD,0,254;AUTEUR_CRE "AUTEUR_CRE" true true false 254 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,AUTEUR_CRE,0,254;POT_ID_H_1 "POT_ID_H_1" true true false 12 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,POT_ID_H_1,0,12;POT_NOM "POT_NOM" true true false 254 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,POT_NOM,0,254;POT_ZONE_T "POT_ZONE_T" true true false 5 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,POT_ZONE_T,0,5;TYPE_ARRET "TYPE_ARRET" true true false 50 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,TYPE_ARRET,0,50;POT_NOM_FR "POT_NOM_FR" true true false 254 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,POT_NOM_FR,0,254;ABRIS "ABRIS" true true false 100 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,ABRIS,0,100;ABRI_FUTUR "ABRI_FUTUR" true true false 50 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,ABRI_FUTUR,0,50;ECRAN_INFO "ECRAN_INFO" true true false 50 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,ECRAN_INFO,0,50;ECRAN_DYNA "ECRAN_DYNA" true true false 50 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,ECRAN_DYNA,0,50;REF_VDN "REF_VDN" true true false 50 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,REF_VDN,0,50;PHOTOS "PHOTOS" true true false 254 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,PHOTOS,0,254;TYPE_ABRIS "TYPE_ABRIS" true true false 100 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,TYPE_ABRIS,0,100;REMARQUE "REMARQUE" true true false 254 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,REMARQUE,0,254;ECRAN_DY_1 "ECRAN_DY_1" true true false 100 Text 0 0,First,#,Mobilité\MO_TEC_ABRIBUS,ECRAN_DY_1,0,100;AFFICH_NBR "AFFICH_NBR" true true false 10 Long 0 10,First,#,Mobilité\MO_TEC_ABRIBUS,AFFICH_NBR,-1,-1" #
20221017
09383100
20221017
09383100
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.0.32739
MO_TEC_Abribus
TEC
Abribus
bus
Art
Ville
Namur
MO_TEC_Abribus utilisée dans l'application Accueil des nouveaux arrivants - Cohésion sociale
Classe d’entités de géodatabase d'entreprise
dataset
EPSG
6.8(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
gisdb.gisadmin.MO_TEC_Abribus
Feature Class
0
objectid
objectid
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
gid
GID
Integer
4
10
0
geometry_o
GEOMETRY_O
Double
8
20
10
apic_style
APIC_STYLE
String
254
0
0
apic_space
APIC_SPACE
Integer
4
10
0
apic_state
APIC_STATE
Integer
4
10
0
apic_cdate
APIC_CDATE
Date
8
0
0
apic_mdate
APIC_MDATE
Date
8
0
0
auteur_mod
AUTEUR_MOD
String
254
0
0
auteur_cre
AUTEUR_CRE
String
254
0
0
pot_id_h_1
POT_ID_H_1
String
12
0
0
pot_nom
POT_NOM
String
254
0
0
pot_zone_t
POT_ZONE_T
String
5
0
0
type_arret
TYPE_ARRET
String
50
0
0
pot_nom_fr
POT_NOM_FR
String
254
0
0
abris
ABRIS
String
100
0
0
abri_futur
ABRI_FUTUR
String
50
0
0
ecran_info
ECRAN_INFO
String
50
0
0
ecran_dyna
ECRAN_DYNA
String
50
0
0
ref_vdn
REF_VDN
String
50
0
0
photos
PHOTOS
String
254
0
0
type_abris
TYPE_ABRIS
String
100
0
0
remarque
REMARQUE
String
254
0
0
ecran_dy_1
ECRAN_DY_1
String
100
0
0
affich_nbr
AFFICH_NBR
Integer
4
10
0
shape
shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
20221017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