20220512
10154500
1.0
FALSE
DefineProjection RpArealformålOmråde PROJCS["WGS_1984_UTM_Zone_35N",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",27.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
CopyFeatures Arealformål\Boligområder "L:\PROSJEKT\A63205 - Honningsvåg, områderegulering\2 PLAN\2-4 PLANDOKUMENTER\2-49 ARCGIS PRO\Honningsvåg - offentlig ettersyn\Honningsvåg - offentlig ettersyn.gdb\Nye_Byggeområder_2" # # # #
Nye_Byggeområder_2
002
file://\\MM-SXD7E-022\Tekn\PROSJEKT\A63205 - Honningsvåg, områderegulering\2 PLAN\2-4 PLANDOKUMENTER\2-49 ARCGIS PRO\Honningsvåg - offentlig ettersyn\Honningsvåg - offentlig ettersyn.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_UTM_Zone_35N
<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_35N",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",27.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",32635]]</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>32635</WKID><LatestWKID>32635</LatestWKID></ProjectedCoordinateSystem>
20220512
11344400
20220512
11344400
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.0.32739
Nye_Byggeområder_2_OE
f
Offentlig ettersyn Områderegulering Honningsvåg
File Geodatabase Feature Class
dataset
EPSG
7.1(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Nye_Byggeområder_2
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.
Kode
Kode
Double
8
0
0
Formål
Formål
String
255
0
0
AVKJ
AVKJ
Double
8
0
0
BYGGVERK
BYGGVERK
Double
8
0
0
EIERFORM
EIERFORM
Double
8
0
0
FELTNAVN
FELTNAVN
String
255
0
0
FØRSTEDIGIT
FØRSTEDIGIT
Date
8
0
0
LOKALID
LOKALID
String
255
0
0
NAVNEROM
NAVNEROM
String
255
0
0
VERSJONID
VERSJONID
String
255
0
0
OPPDATERING
OPPDATERING
Date
8
0
0
PLANID
PLANID
String
255
0
0
UTEAREAL
UTEAREAL
Double
8
0
0
VERTNIV
VERTNIV
Double
8
0
0
Areal
Areal
String
255
0
0
Farge
Farge
String
20
0
0
Kategori
Kategori
String
200
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.
20220512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