20220420
14075100
1.0
FALSE
fcUkraineMigration
002
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_30N
<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/2.8.0'><WKT>PROJCS["ETRS_1989_UTM_Zone_30N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-3.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25830]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>25830</WKID><LatestWKID>25830</LatestWKID></ProjectedCoordinateSystem>
20220523
12115000
20220523
12115000
Esri ArcGIS 12.8.3.29751
fcUkraineMigration
<span style='font-family:arial, sans-serif; font-weight:bold; color:rgb(95, 99, 104); font-size:14px;'>ESPON IRiE</span><span style='font-family:arial, sans-serif; color:rgb(77, 81, 86); font-size:14px;'> Interregional relations in Europe. Understanding the interregional flows of people, capital, goods, services and knowledge.</span>
irie
irie
ESPON
File Geodatabase Feature Class
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
fcUkraineMigration
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.
LEVL_CODE
LEVL_CODE
SmallInteger
2
0
0
NUTS_ID
NUTS_ID
String
5
0
0
CNTR_CODE
CNTR_CODE
String
255
0
0
NAME_LATN
NAME_LATN
String
255
0
0
NUTS_NAME
NUTS_NAME
String
255
0
0
NAME_ASCI
NAME_ASCI
String
255
0
0
NAME_ENGL
NAME_ENGL
String
255
0
0
ISO3_CODE
ISO3_CODE
String
255
0
0
FULLNAME
FULLNAME
String
255
0
0
NUTS2
NUTS2
String
255
0
0
CLUSTER_MEMBERSHIP
CLUSTER MEMBERSHIP
Double
8
0
0
CLUSTER_TEXT
CLUSTER_TEXT
String
255
0
0
S_CONNECTIVITY
S-CONNECTIVITY
Double
8
0
0
S_INTENSITY
S-INTENSITY
Double
8
0
0
S_WEIGHTED_INTENSITY
S-WEIGHTED INTENSITY
Double
8
0
0
S_INTERREGIONAL_BALANCE
S-INTERREGIONAL BALANCE
Double
8
0
0
S_NETWORK_SELECTIVENESS
S-NETWORK SELECTIVENESS
Double
8
0
0
S_FOCUSED_INFLUENCE
S-FOCUSED INFLUENCE
Double
8
0
0
R_CONNECTIVITY
R-CONNECTIVITY
Double
8
0
0
R_INTENSITY
R-INTENSITY
Double
8
0
0
R_WEIGHTED_INTENSITY
R-WEIGHTED INTENSITY
Double
8
0
0
R_INTERREGIONAL_BALANCE
R-INTERREGIONAL BALANCE
Double
8
0
0
R_NETWORK_SELECTIVENESS
R-NETWORK SELECTIVENESS
Double
8
0
0
R_FOCUSED_INFLUENCE
R-FOCUSED INFLUENCE
Double
8
0
0
SENT_RECEIVE_BALANCE
SENT-RECEIVE BALANCE
Double
8
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.
20220523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