<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20221205</CreaDate>
        <CreaTime>18190400</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p style='margin:0 0 0 0;'&gt;&lt;span&gt;&lt;span&gt;Classification of existing land uses in the City of Riverside. The land uses are represented through a two-tier hierarchical construction: a generalized (e.g., Residential Land Use) level and specific (e.g., Residential Land Use - Medium Low Density Residential) level. An intermediate level exists as a redefined item.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
        <searchKeys>
            <keyword>landuse</keyword>
            <keyword>general plan</keyword>
            <keyword>planning</keyword>
            <keyword>City of Riverside</keyword>
            <keyword>open data</keyword>
            <keyword>Riverside</keyword>
            <keyword>boundaries</keyword>
        </searchKeys>
        <idPurp>Official Landuse featureclass that is updated. Classification of existing land uses in the City of Riverside.  The land uses are represented through a two-tier hierarchical construction: a generalized (e.g., Residential Land Use) level and specific (e.g., Residential Land Use - Medium Low Density Residential) level.</idPurp>
        <idCredit>City of Riverside,CA</idCredit>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>