20240115
14240400
1.0
FALSE
Confini_comunali_DIC2023_RL
002
file://\\pterra\discok\Bancadati\dati\bancadati_WGS84_pterra2k8dmz_SIT.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_UTM_Zone_32N
<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_UTM_Zone_32N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",9.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",32632]]</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>32632</WKID><LatestWKID>32632</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass Comuni_correnti_poligonali \\pterra\discok\Bancadati\dati\bancadati_WGS84_pterra2k8dmz_SIT.gdb\LimitiAmministrativi Confini_comunali_DIC2023_RL # "OBJECTID "OBJECTID" true true false 10 Long 0 10,First,#,Comuni_correnti_poligonali,OBJECTID,-1,-1;CLASSREF "CLASSREF" true true false 70 Text 0 0,First,#,Comuni_correnti_poligonali,CLASSREF,0,70;BELFIORE "BELFIORE" true true false 40 Text 0 0,First,#,Comuni_correnti_poligonali,BELFIORE,0,40;COD_ISTATN "COD_ISTATN" true true false 16 Text 0 0,First,#,Comuni_correnti_poligonali,COD_ISTATN,0,16;NOME_COM "NOME_COM" true true false 100 Text 0 0,First,#,Comuni_correnti_poligonali,NOME_COM,0,100;COD_PRO "COD_PRO" true true false 6 Long 0 6,First,#,Comuni_correnti_poligonali,COD_PRO,-1,-1;NOME_PRO "NOME_PRO" true true false 40 Text 0 0,First,#,Comuni_correnti_poligonali,NOME_PRO,0,40;SIG_PRO "SIG_PRO" true true false 2 Text 0 0,First,#,Comuni_correnti_poligonali,SIG_PRO,0,2;COD_CMO "COD_CMO" true true false 70 Text 0 0,First,#,Comuni_correnti_poligonali,COD_CMO,0,70;NOME_CMO "NOME_CMO" true true false 50 Text 0 0,First,#,Comuni_correnti_poligonali,NOME_CMO,0,50;COD_ASL "COD_ASL" true true false 10 Long 0 10,First,#,Comuni_correnti_poligonali,COD_ASL,-1,-1;NOME_ASL "NOME_ASL" true true false 40 Text 0 0,First,#,Comuni_correnti_poligonali,NOME_ASL,0,40;COD_REG "COD_REG" true true false 50 Text 0 0,First,#,Comuni_correnti_poligonali,COD_REG,0,50;NOME_REG "NOME_REG" true true false 40 Text 0 0,First,#,Comuni_correnti_poligonali,NOME_REG,0,40;ANNO "ANNO" true true false 6 Long 0 6,First,#,Comuni_correnti_poligonali,ANNO,-1,-1;ISTAT "ISTAT" true true false 10 Long 0 10,First,#,Comuni_correnti_poligonali,ISTAT,-1,-1;LEGGE_ISTI "LEGGE_ISTI" true true false 150 Text 0 0,First,#,Comuni_correnti_poligonali,LEGGE_ISTI,0,150;ATS_COD "ATS_COD" true true false 10 Text 0 0,First,#,Comuni_correnti_poligonali,ATS_COD,0,10;ATS_DEC "ATS_DEC" true true false 100 Text 0 0,First,#,Comuni_correnti_poligonali,ATS_DEC,0,100;CMETR_COD "CMETR_COD" true true false 3 Text 0 0,First,#,Comuni_correnti_poligonali,CMETR_COD,0,3;CMETR_DEC "CMETR_DEC" true true false 100 Text 0 0,First,#,Comuni_correnti_poligonali,CMETR_DEC,0,100;SHAPE_AREA "SHAPE_AREA" true true false 31 Double 0 0,First,#,Comuni_correnti_poligonali,SHAPE_AREA,-1,-1;SHAPE_LEN "SHAPE_LEN" true true false 31 Double 0 0,First,#,Comuni_correnti_poligonali,SHAPE_LEN,-1,-1" #
20240115
14240500
20240115
14240500
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.4.32739
Confini_comunali_DIC2023_RL
SIT
CMM
Confini comunali al dicembre 2023 di regione lombardia
File Geodatabase Feature Class
dataset
EPSG
9.8.8(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Confini_comunali_DIC2023_RL
Feature Class
0
OBJECTID_1
OBJECTID_1
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.
OBJECTID
OBJECTID
Integer
4
0
0
CLASSREF
CLASSREF
String
70
0
0
BELFIORE
BELFIORE
String
40
0
0
COD_ISTATN
COD_ISTATN
String
16
0
0
NOME_COM
NOME_COM
String
100
0
0
COD_PRO
COD_PRO
Integer
4
0
0
NOME_PRO
NOME_PRO
String
40
0
0
SIG_PRO
SIG_PRO
String
2
0
0
COD_CMO
COD_CMO
String
70
0
0
NOME_CMO
NOME_CMO
String
50
0
0
COD_ASL
COD_ASL
Integer
4
0
0
NOME_ASL
NOME_ASL
String
40
0
0
COD_REG
COD_REG
String
50
0
0
NOME_REG
NOME_REG
String
40
0
0
ANNO
ANNO
Integer
4
0
0
ISTAT
ISTAT
Integer
4
0
0
LEGGE_ISTI
LEGGE_ISTI
String
150
0
0
ATS_COD
ATS_COD
String
10
0
0
ATS_DEC
ATS_DEC
String
100
0
0
CMETR_COD
CMETR_COD
String
3
0
0
CMETR_DEC
CMETR_DEC
String
100
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.
20240115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