<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="nl">
  <Esri>
    <CreaDate>20241129</CreaDate>
    <CreaTime>13341400</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
    <DataProperties>
      <lineage>
        <Process Date="20241129" Time="133414" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\Clip">Clip main."Groen binnen openbare ruimte" Zuidplas P:\Blizdata\Duurzaamheid\Klimaatadaptatie\Krimpenerwaard\Gebiedspaspoorten\Gebiedspaspoorten.gdb\Groen_per_buurt_Zuidplas #</Process>
        <Process Date="20241129" Time="150040" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Groen_per_buurt_Zuidplas m2_totaalgroen_zonder_agr "!openbaar_m2_groen! + !privaat_m2_groen! + !bebouwing_m2_groen! + !overig_m2_groen! + !transitie_m2_groen! + !boom_openbaar_oppervlakte! + !boom_privaat_oppervlakte! + !boom_bebouwing_oppervlakte! + !boom_water_oppervlakte! + !boom_overig_oppervlakte! + !boom_transitie_oppervlakte!" "Python 3" # "Double (64-bit floating point)" NO_ENFORCE_DOMAINS</Process>
      </lineage>
    </DataProperties>
  </Esri>
  <dataIdInfo>
    <idAbs/>
    <searchKeys>
      <keyword>ODMH</keyword>
      <keyword>Klimaateffectatlas</keyword>
      <keyword>Zuidplas</keyword>
    </searchKeys>
    <idPurp>kaartl aag met informatie over groen aantallen per buurt en de percentages</idPurp>
    <idCredit/>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Groen per buurt Zuidplas</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
    </Thumbnail>
  </Binary>
</metadata>
