20240830
09212000
1.0
FALSE
Eiendomsident_Ullevåll_tomt2
002
file://\\MM-SXD8E-039\PROJECTS\NO\5\16201513-01 Mulighetsstudie transformasjon av Ullevål Sykehus\5 PROSJEKTFORUTSETNINGER OG RESEARCH\5-5 ANALYSER\2-6-1 GIS ANALYSE ULLEVÅLL SYKEHUS\HOVED GISFIL_ULLEVÅLL SYKEHUS\HOVED GISFIL_ULLEVÅLL SYKEHUS.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_33N
<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["ETRS_1989_UTM_Zone_33N",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",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25833]]</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>25833</WKID><LatestWKID>25833</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures Eiendomsident "O:\NO\5\16201513-01 Mulighetsstudie transformasjon av Ullevål Sykehus\5 PROSJEKTFORUTSETNINGER OG RESEARCH\5-5 ANALYSER\2-6-1 GIS ANALYSE ULLEVÅLL SYKEHUS\HOVED GISFIL_ULLEVÅLL SYKEHUS\HOVED GISFIL_ULLEVÅLL SYKEHUS.gdb\Eiendomsident_Ullevåll_tomt2" # # # #
20240830
09212000
20240830
09212000
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 12.9.4.32739
Eiendom_Ullevåll_tomt
ullevål sykehus
ullevål
File Geodatabase Feature Class
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Eiendomsident_Ullevåll_tomt2
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.
matrikkelenhetid
matrikkelenhetid
Double
8
0
0
teigid
teigid
Double
8
0
0
matrikkeltype
matrikkeltype
String
20
0
0
fylkeid
fylkeid
SmallInteger
2
0
0
omradeid
omradeid
Integer
4
0
0
kommunenr
kommunenr
String
4
0
0
gardsnr
gardsnr
Integer
4
0
0
bruksnr
bruksnr
Integer
4
0
0
festenr
festenr
Integer
4
0
0
seksjonsnr
seksjonsnr
Integer
4
0
0
etableringsdato
etableringsdato
Date
8
0
0
tinglyst
tinglyst
SmallInteger
2
0
0
skyld
skyld
Double
8
0
0
bruksnavn
bruksnavn
String
70
0
0
utgatt
utgatt
SmallInteger
2
0
0
undersammenslaingbestar
undersammenslaingbestar
SmallInteger
2
0
0
undersammenslaingutgar
undersammenslaingutgar
SmallInteger
2
0
0
oppmalingikkefullfort
oppmalingikkefullfort
SmallInteger
2
0
0
mangelmatrikkelforingskrav
mangelmatrikkelforingskrav
SmallInteger
2
0
0
nymatrikulert
nymatrikulert
SmallInteger
2
0
0
fristoppmaling
fristoppmaling
Date
8
0
0
fristmatrikkelforingskrav
fristmatrikkelforingskrav
Date
8
0
0
oppgittareal
oppgittareal
Integer
4
0
0
arealkildeid
arealkildeid
Integer
4
0
0
arealkildekode
arealkildekode
String
30
0
0
annenmatrikkelenhetsid
annenmatrikkelenhetsid
String
1
0
0
annenmatrikkelenhetskode
annenmatrikkelenhetskode
String
40
0
0
punktfeste
punktfeste
SmallInteger
2
0
0
tilleggsareal
tilleggsareal
SmallInteger
2
0
0
formalseksjonid
formalseksjonid
String
2
0
0
formalseksjonkode
formalseksjonkode
String
30
0
0
matrikkelteller
matrikkelteller
Integer
4
0
0
matrikkelnevner
matrikkelnevner
Double
8
0
0
haraktivefestegrunner
haraktivefestegrunner
SmallInteger
2
0
0
haranmerketklage
haranmerketklage
SmallInteger
2
0
0
harregistrertgrunnerverv
harregistrertgrunnerverv
SmallInteger
2
0
0
harregistrertjordskiftekrevd
harregistrertjordskiftekrevd
SmallInteger
2
0
0
inngarisamlafasteiendom
inngarisamlafasteiendom
SmallInteger
2
0
0
erseksjonert
erseksjonert
SmallInteger
2
0
0
harkulturminne
harkulturminne
SmallInteger
2
0
0
hargrunnforurensing
hargrunnforurensing
SmallInteger
2
0
0
anleggstypeid
anleggstypeid
String
2
0
0
anleggstypekode
anleggstypekode
String
20
0
0
avklarteiere
avklarteiere
SmallInteger
2
0
0
avklartandeler
avklartandeler
SmallInteger
2
0
0
antallseksjoner
antallseksjoner
Integer
4
0
0
tvist
tvist
SmallInteger
2
0
0
uregistrertjordsameie
uregistrertjordsameie
SmallInteger
2
0
0
datafangstdato
datafangstdato
Date
8
0
0
informasjon
informasjon
String
100
0
0
lagretareal
lagretareal
Double
8
0
0
flerematrikkelenheter
flerematrikkelenheter
SmallInteger
2
0
0
hovedteig
hovedteig
SmallInteger
2
0
0
gids
gids
String
1073741822
0
0
antallfester
antallfester
Integer
4
0
0
omsetningsdato
omsetningsdato
Date
8
0
0
kjopesum
kjopesum
Double
8
0
0
sistefrittsalgdato
sistefrittsalgdato
Date
8
0
0
sistefrittsalgkjopesum
sistefrittsalgkjopesum
Double
8
0
0
omsetningstypekode
omsetningstypekode
SmallInteger
2
0
0
omsetningstype
omsetningstype
String
50
0
0
omsetningavbygning
omsetningavbygning
String
30
0
0
antall_matrikkelenhet
antall_matrikkelenhet
Integer
4
0
0
antall_festegrunn
antall_festegrunn
Integer
4
0
0
antall_seksjon
antall_seksjon
Integer
4
0
0
omsatte_matrikkelenhet
omsatte_matrikkelenhet
String
4000
0
0
omsatte_festegrunn
omsatte_festegrunn
String
4000
0
0
omsatte_seksjon
omsatte_seksjon
String
4000
0
0
hovedbruk_matrikkelenhetid
hovedbruk_matrikkelenhetid
Double
8
0
0
hovedbruk_kommunenr
hovedbruk_kommunenr
Integer
4
0
0
hovedbruk_gardsnr
hovedbruk_gardsnr
Integer
4
0
0
hovedbruk_bruksnr
hovedbruk_bruksnr
Integer
4
0
0
hovedbruk_festenr
hovedbruk_festenr
Integer
4
0
0
adresseid
adresseid
Double
8
0
0
adresse
adresse
String
50
0
0
postnr
postnr
String
4
0
0
postnavn
postnavn
String
50
0
0
kommunenavn
kommunenavn
String
50
0
0
fylkesnavn
fylkesnavn
String
50
0
0
geometrikilde
geometrikilde
String
30
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.
20240830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