20221228
14484700
1.0
FALSE
AddressRegistry_Str_3857_20221228
002
file://\\YUTTRIUM\E$\Work\Projects\QMX6K Геоінформаційна система Коростенської територіальної громади\QMX6K ГІС Коростенської громади\QMX6K ГІС Коростенської громади.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</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>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass Вулиці "e:\Work\Projects\QMX6K Геоінформаційна система Коростенської територіальної громади\QMX6K ГІС Коростенської громади\QMX6K ГІС Коростенської громади.gdb" AddressRegistry_Str_3857_20221228 # "codifier "Код Кодифікатору" true true false 254 Text 0 0,First,#,Вулиці,codifier,0,254;str_id "Ідентифікатор вулиці" true true false 254 Text 0 0,First,#,Вулиці,str_id,0,254;str_type "Тип вулиці" true true false 254 Text 0 0,First,#,Вулиці,str_type,0,254;str_name "Назва вулиці (чинна)" true true false 254 Text 0 0,First,#,Вулиці,str_name,0,254;name_old "Назва вулиці (архівна)" true true false 254 Text 0 0,First,#,Вулиці,name_old,0,254;note "Примітка" true true false 254 Text 0 0,First,#,Вулиці,note,0,254;geom "Геометрія" true true false 800 Text 0 0,First,#,Вулиці,geom,0,800;field_n "Назва вулиці" true true false 254 Text 0 0,First,#,Вулиці,field_n,0,254;city "Населений пункт" true true false 255 Text 0 0,First,#,Вулиці,city,0,255;SHAPE__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,Вулиці,SHAPE__Length,-1,-1" #
Project AddressRegistry_Str_3857_20221228 "e:\Work\Projects\QMX6K Геоінформаційна система Коростенської територіальної громади\QMX6K ГІС Коростенської громади\QMX6K ГІС Коростенської громади.gdb\AddressRegistry_Str_5561" GEOGCS["GCS_Ukraine_2000",DATUM["D_Ukraine_2000",SPHEROID["Krasovsky_1940",6378245.0,298.3]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] Ukraine_2000_To_WGS_1984_2 PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
20221228
14480200
20221228
14480200
Esri ArcGIS 13.0.2.36056
AddressRegistry_Str_5561
GIS
Адресний реєстр: Вулиці.
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
TRUE
AddressRegistry_Str_3857_20221228
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.
Field_N
Назва вулиці
String
254
0
0
codifier
Код Кодифікатору
String
254
0
0
str_id
Ідентифікатор вулиці
String
254
0
0
str_type
Тип вулиці
String
254
0
0
str_name
Назва вулиці (чинна)
String
254
0
0
name_old
Назва вулиці (архівна)
String
254
0
0
note
Примітка
String
254
0
0
geom
Геометрія
String
800
0
0
City
Населений пункт
String
255
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
20221228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