20230629
10512500
1.0
FALSE
JoinField "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\ModelOutput.gdb\POPULATION_THIESSEN" Input_FID "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\FinalLayer.gdb\POPULATION_TRAJET" OBJECTID Join_Count;TARGET_FID;date_ref;id_adresse;commune;no_commune;secteur;ssecteur_7;code_voie;no_adresse;nom_voie;population;no_com_federal;Leq_Nuit;Leq_Lden;FacilityID;Name;FromBreak;ToBreak
CreateThiessenPolygons "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\FinalLayer.gdb\POPULATION_TRAJET" "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\ModelOutput.gdb\POPULATION_THIESSEN" "All fields"
Clip "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\ModelOutput.gdb\POPULATION_THIESSEN" "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\ModelOutput.gdb\CommunesGE_Lac" "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\FinalLayer.gdb\POPULATION_DIST_LIEUX_CALMES" #
DeleteField "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\FinalLayer.gdb\POPULATION_DIST_LIEUX_CALMES" Input_FID;Join_Count;TARGET_FID;date_ref;id_adresse
DeleteField "C:\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\FinalLayer.gdb\POPULATION_DIST_LIEUX_CALMES" Input_FID;Join_Count;TARGET_FID;date_ref;id_adresse;no_adresse;nom_voie
POPULATION_DIST_LIEUX_CALMES
002
file://\\DESKTOP-9IVIP3T\C$\Users\JeanMichel\Documents\ArcGIS\Projects\Projet SABRA\FinalLayer.gdb
Local Area Network
Projected
GCS_CH1903+
Linear Unit: Meter (1.000000)
CH1903+_LV95
<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/2.7.0'><WKT>PROJCS["CH1903+_LV95",GEOGCS["GCS_CH1903+",DATUM["D_CH1903+",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Hotine_Oblique_Mercator_Azimuth_Center"],PARAMETER["False_Easting",2600000.0],PARAMETER["False_Northing",1200000.0],PARAMETER["Scale_Factor",1.0],PARAMETER["Azimuth",90.0],PARAMETER["Longitude_Of_Center",7.439583333333333],PARAMETER["Latitude_Of_Center",46.95240555555556],UNIT["Meter",1.0],AUTHORITY["EPSG",2056]]</WKT><XOrigin>0</XOrigin><YOrigin>0</YOrigin><XYScale>100</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.02</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2056</WKID><LatestWKID>2056</LatestWKID></ProjectedCoordinateSystem>
20230629
10513100
20230629
10513100
Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 12.7.0.26828
POPULATION_DISTANCE_LIEUX_CALMES
DPSIR
SABRA
Bruit
OCEV
Distance à pied de lieux publiques dont le niveau sonore Lden moyen est inférieur à 53dB
File Geodatabase Feature Class
dataset
EPSG
4.5(8.1.0)
0
Simple
FALSE
0
TRUE
FALSE
POPULATION_DIST_LIEUX_CALMES
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.
Input_FID
Input_FID
Integer
4
0
0
Join_Count
Join_Count
Integer
4
0
0
TARGET_FID
TARGET_FID
Integer
4
0
0
date_ref
date_ref
String
7
0
0
id_adresse
id_adresse
String
12
0
0
commune
commune
String
30
0
0
no_commune
no_commune
String
4
0
0
secteur
secteur
String
2
0
0
ssecteur_7
ssecteur_7
String
7
0
0
code_voie
code_voie
String
5
0
0
no_adresse
no_adresse
String
6
0
0
nom_voie
nom_voie
String
60
0
0
population
population
SmallInteger
2
0
0
no_com_federal
no_com_federal
SmallInteger
2
0
0
Leq_Nuit
Leq_Nuit
Single
4
0
0
Leq_Lden
Leq_Lden
Single
4
0
0
FacilityID
FacilityID
Integer
4
0
0
Name
Name
String
1024
0
0
FromBreak
FromBreak
Double
8
0
0
ToBreak
ToBreak
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.
20230629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