20230629
12114000
1.0
FALSE
ExportFeatures main.index_map C:\_M1MT_2023_2\Коростень\Korosten\ADM\hromada.shp # NOT_USE_ALIAS "zona "zona" true true false 2 Text 0 0,First,#,main.index_map,zona,0,2;kvart "kvart" true true false 3 Text 0 0,First,#,main.index_map,kvart,0,3;koatuu "koatuu" true true false 10 Text 0 0,First,#,main.index_map,koatuu,0,10;layer "layer" true true false 100 Text 0 0,First,#,main.index_map,layer,0,100" #
ExportFeatures hromada C:\_M1MT_2023_2\Коростень\Korosten\ADM\new_hromada.shp # NOT_USE_ALIAS "zona "zona" true true false 2 Text 0 0,First,#,hromada,zona,0,2;kvart "kvart" true true false 3 Text 0 0,First,#,hromada,kvart,0,3;koatuu "koatuu" true true false 10 Text 0 0,First,#,hromada,koatuu,0,10;layer "layer" true true false 100 Text 0 0,First,#,hromada,layer,0,100" #
Project new_hromada C:\_M1MT_2023_2\Коростень\Korosten\ADM\1.gdb\hromada PROJCS["Ukraine_2000_GK_Zone_5",GEOGCS["GCS_Ukraine_2000",DATUM["D_Ukraine_2000",SPHEROID["Krasovsky_1940",6378245.0,298.3]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Gauss_Kruger"],PARAMETER["False_Easting",5500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",27.0],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] Ukraine_2000_To_WGS_1984_2 GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
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=C:\_M1MT_2023_2\Коростень\Korosten\ADM\1.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>hromada</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>kvart</field_name><field_name>koatuu</field_name><field_name>layer</field_name></DeleteField></workflow><workflow><AlterField><field_name>zona</field_name><new_field_name>oblast</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_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=C:\_M1MT_2023_2\Коростень\Korosten\ADM\1.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>hromada</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>oblast</field_name><field_type>TEXT</field_type><field_length>250</field_length><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AddField><field_name>raion</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>hromada</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Field2</field_name><field_type>TEXT</field_type><field_length>255</field_length><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=C:\_M1MT_2023_2\Коростень\Korosten\ADM\1.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>hromada</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Field2</field_name></DeleteField></workflow></operationSequence>
ExportFeatures hromada C:\_M1MT_2023_2\Коростень\Korosten\ADM\3.gdb\hromada # NOT_USE_ALIAS "oblast "zona" true true false 250 Text 0 0,First,#,hromada,oblast,0,250;raion "raion" true true false 255 Text 0 0,First,#,hromada,raion,0,255;hromada "hromada" true true false 255 Text 0 0,First,#,hromada,hromada,0,255;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,hromada,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,hromada,Shape_Area,-1,-1" #
Project "Адміністративні межі громади" C:\_M1MT_2023_2\Коростень\Korosten\ADM\4.gdb\hromada 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]] Ukraine_2000_To_WGS_1984_2 PROJCS["Ukraine_2000_GK_Zone_5",GEOGCS["GCS_Ukraine_2000",DATUM["D_Ukraine_2000",SPHEROID["Krasovsky_1940",6378245.0,298.3]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Gauss_Kruger"],PARAMETER["False_Easting",5500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",27.0],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
hromada
002
0.000
file://\\WINDOWS-FUVORBT\C$\_M1MT_2023_2\Коростень\Korosten\ADM\4.gdb
Local Area Network
Projected
GCS_Ukraine_2000
Linear Unit: Meter (1.000000)
<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["Ukraine_2000_GK_Zone_5",GEOGCS["GCS_Ukraine_2000",DATUM["D_Ukraine_2000",SPHEROID["Krasovsky_1940",6378245.0,298.3]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Gauss_Kruger"],PARAMETER["False_Easting",5500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",27.0],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",5563]]</WKT><XOrigin>-123300</XOrigin><YOrigin>-10002300</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>5563</WKID><LatestWKID>5563</LatestWKID></ProjectedCoordinateSystem>
Ukraine_2000_GK_Zone_5
20230628
12474900
20230628
12474900
Microsoft Windows 10 Version 10.0 (Build 17763) ; Esri ArcGIS 13.1.2.41833
Адміністративні межі громади
GIS
Адміністративні межі громади
File Geodatabase Feature Class
0.000
dataset
EPSG
7.9.1(10.1.0)
0
Simple
FALSE
0
TRUE
FALSE
hromada
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.
oblast
zona
String
250
0
0
raion
raion
String
255
0
0
hromada
hromada
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.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20230628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