20220103
09142900
1.0
FALSE
CalculateField "Usos del sòl" clau_inc [Nova_cla] VB #
CalculateField "Usos del sòl" clau_inc "B1" VB #
CalculateField "Usos del sòl" desenv "actual" VB #
CalculateField "Usos del sòl" desenv "Planejament" VB #
CalculateField "Usos del sòl" desenv "Planejament" VB #
CalculateField "Usos del sòl" desenv "Planejament" VB #
CalculateField "Usos del sòl" desenv "Planejament" VB #
CalculateField "Usos del sòl" desenv "actual" VB #
CalculateField "Usos del sòl" desenv "planejament" VB #
CalculateField "Usos del sòl" desenv "planejament" VB #
CalculateField capa_nova_class desenv "planejament" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField "Zonificació corresponent a sectors de desenvolupament" clau_inc "B1" VB #
CalculateField Zonificació desenv "planejament" VB #
CalculateField Zonificació desenv "planejament" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField "Zonificació corresponent a sectors de desenvolupament" clau_inc "B1" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField Zonificació clau_inc "B1" VB #
CalculateField Zonificació CANVIS "No canvia" VB #
CalculateField Zonificació CANVIS "No canvia" VB #
CalculateField mca_viladecans class_futu [clau_inc] VB #
CalculateField mca_viladecans class_Actu [clau_inc] VB #
CalculateField mca_viladecans class_Actu "C2" VB #
CalculateField mca_viladecans class_Actu "B2" VB #
CalculateField mca_viladecans class_Actu [clau_inc] VB #
CalculateField mca_viladecans class_Actu "B2" VB #
CalculateField mca_viladecans class_Actu "C2" VB #
CalculateField mca_viladecans class_Actu "" VB #
CalculateField mca_viladecans class_Actu "A4" VB #
CalculateField mca_viladecans class_futu "A4" VB #
CalculateField mca_viladecans class_Actu "B2" VB #
CalculateField mca_viladecans class_Actu "B1" VB #
CalculateField mca_viladecans class_Actu "" VB #
CalculateField mca_viladecans class_Actu "B1" VB #
CalculateField mca_viladecans class_futu "B1" VB #
CalculateField mca_viladecans class_futu "" VB #
CalculateField mca_viladecans nou "si" VB #
CalculateField mca_viladecans nou "no" VB #
CalculateField mca_viladecans canvi "De B2 a A4" VB #
CalculateField mca_viladecans canvi "De B2 a A4" VB #
CalculateField mca_viladecans canvi "" VB #
CalculateField mca_viladecans canvi "" VB #
CalculateField mca_viladecans canvi "" VB #
ExportFeatures MCA_VLD_Actual C:\Users\aferretb\AppData\Roaming\Esri\ArcGISPro\Favorites\DATAGIS@postgreSQL.sde\viladecansgis.datagis.ma_zones_sensibilitat_acustica # NOT_USE_ALIAS "OBJECTID "OBJECTID" true true false 10 Long 0 10,First,#,MCA_VLD_Actual,OBJECTID,-1,-1;CLAU_URB "CLAU_URB" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,CLAU_URB,0,200;DESCRIP "DESCRIP" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,DESCRIP,0,254;PLAN "PLAN" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,PLAN,0,254;COLOR "COLOR" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,COLOR,0,254;EQUI_PGM "EQUI_PGM" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,EQUI_PGM,0,254;INE_URB "INE_URB" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,INE_URB,0,254;NORMATIV "NORMATIV" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,NORMATIV,0,254;DGU "DGU" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,DGU,0,254;SINTETIC "SINTETIC" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,SINTETIC,0,200;JERARQ_V "JERARQ_V" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,JERARQ_V,0,200;CODI_SECT "CODI_SECT" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,CODI_SECT,0,200;TIPUS_SECT "TIPUS_SECT" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,TIPUS_SECT,0,200;US_SECT "US_SECT" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,US_SECT,0,200;GRAU_DES "GRAU_DES" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,GRAU_DES,0,200;CS "CS" true true false 200 Text 0 0,First,#,MCA_VLD_Actual,CS,0,200;CODI_INE "CODI_INE" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,CODI_INE,0,254;NOMMUNI "NOMMUNI" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,NOMMUNI,0,254;PGM "PGM" true true false 254 Text 0 0,First,#,MCA_VLD_Actual,PGM,0,254;SHAPE_Leng "SHAPE_Leng" true true false 19 Double 0 0,First,#,MCA_VLD_Actual,SHAPE_Leng,-1,-1;SHAPE_Area "SHAPE_Area" true true false 19 Double 0 0,First,#,MCA_VLD_Actual,SHAPE_Area,-1,-1;Nova_cla "Nova_cla" true true false 50 Text 0 0,First,#,MCA_VLD_Actual,Nova_cla,0,50;clau_inc "clau_inc" true true false 5 Text 0 0,First,#,MCA_VLD_Actual,clau_inc,0,5;desenv "desenv" true true false 50 Text 0 0,First,#,MCA_VLD_Actual,desenv,0,50;CANVIS "CANVIS" true true false 50 Text 0 0,First,#,MCA_VLD_Actual,CANVIS,0,50;class_Actu "class_Actu" true true false 50 Text 0 0,First,#,MCA_VLD_Actual,class_Actu,0,50;class_futu "class_futu" true true false 50 Text 0 0,First,#,MCA_VLD_Actual,class_futu,0,50;nou "nou" true true false 10 Text 0 0,First,#,MCA_VLD_Actual,nou,0,10;canvi "canvi" true true false 50 Text 0 0,First,#,MCA_VLD_Actual,canvi,0,50" #
viladecansgis.datagis.ma_zones_sensibilitat_acustica
002
Server=95.216.199.11; Service=sde:postgresql:95.216.199.11; Database=viladecansgis; User=datagis; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_31N
<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/3.0.0'><WKT>PROJCS["ETRS_1989_UTM_Zone_31N",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",25831]]</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>25831</WKID><LatestWKID>25831</LatestWKID></ProjectedCoordinateSystem>
20231215
11534400
20231215
11534400
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.0.0.36056
Zones sensibilitat acústica
soroll
zones sensibilitat acustica
contaminacio acustica
capacitat acustica
Zonificació de sensibilitat acústica
Enterprise Geodatabase Feature Class
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
viladecansgis.datagis.ma_zones_sensibilitat_acustica
Feature Class
0
objectid_1
objectid_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
objectid
OBJECTID
Integer
4
10
0
clau_urb
CLAU_URB
String
200
0
0
descrip
DESCRIP
String
254
0
0
plan
PLAN
String
254
0
0
color
COLOR
String
254
0
0
equi_pgm
EQUI_PGM
String
254
0
0
ine_urb
INE_URB
String
254
0
0
normativ
NORMATIV
String
254
0
0
dgu
DGU
String
254
0
0
sintetic
SINTETIC
String
200
0
0
jerarq_v
JERARQ_V
String
200
0
0
codi_sect
CODI_SECT
String
200
0
0
tipus_sect
TIPUS_SECT
String
200
0
0
us_sect
US_SECT
String
200
0
0
grau_des
GRAU_DES
String
200
0
0
cs
CS
String
200
0
0
codi_ine
CODI_INE
String
254
0
0
nommuni
NOMMUNI
String
254
0
0
pgm
PGM
String
254
0
0
shape_leng
SHAPE_Leng
Double
8
38
8
nova_cla
Nova_cla
String
50
0
0
clau_inc
clau_inc
String
5
0
0
desenv
desenv
String
50
0
0
canvis
CANVIS
String
50
0
0
class_actu
class_Actu
String
50
0
0
class_futu
class_futu
String
50
0
0
nou
nou
String
10
0
0
canvi
canvi
String
50
0
0
shape
shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
st_area(shape)
st_area(shape)
Double
0
0
0
st_perimeter(shape)
st_perimeter(shape)
Double
0
0
0
20231215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