<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="nb">
<Esri>
<CreaDate>20241029</CreaDate>
<CreaTime>12034300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>RATB_2017_2028</resTitle>
</idCitation>
<idAbs/>
<idPurp>Inneheld gjenskapt analyse for vekstsoner frå RATB 2017-2028.
Fylkessenter:
500,1000,2000 og 3000 meter
Regionsenter:
500,1000 og 2000 meter
Kommunesenter:
250,1000 meter
Bydelsenter Bergen:
250,1000 og 2000 meter
Lokalsenter Bergen:
250,1000
</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<searchKeys>
<keyword/>
</searchKeys>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
