<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20231116</CreaDate>
        <CreaTime>13512900</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">four_plex_parcels_dissolved</itemName>
                <imsContentType Sync="TRUE">002</imsContentType>
            </itemProps>
            <coordRef>
                <type Sync="TRUE">Projected</type>
                <geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
                <csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
                <projcsn Sync="TRUE">NAD_1983_StatePlane_California_III_FIPS_0403_Feet</projcsn>
                <peXml Sync="TRUE">&lt;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/10.8'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_California_III_FIPS_0403_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,6561666.666666666],PARAMETER[&amp;quot;False_Northing&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,37.06666666666667],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,38.43333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,36.5],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2227]]&lt;/WKT&gt;&lt;XOrigin&gt;-115860600&lt;/XOrigin&gt;&lt;YOrigin&gt;-93269500&lt;/YOrigin&gt;&lt;XYScale&gt;3048.00609601219&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.00328083333333333&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102643&lt;/WKID&gt;&lt;LatestWKID&gt;2227&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20231114</SyncDate>
        <SyncTime>13482900</SyncTime>
        <ModDate>20231114</ModDate>
        <ModTime>13482900</ModTime>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="TRUE">four_plex_parcels_dissolved</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <idAbs/>
        <idPurp/>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
        </distFormat>
    </distInfo>
    <mdHrLv>
        <ScopeCd Sync="TRUE" value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="2227"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="four_plex_parcels_dissolved">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="002"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE">0</geoObjCnt>
            </geometObjs>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="four_plex_parcels_dissolved">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="4"/>
                <esritopo Sync="TRUE">FALSE</esritopo>
                <efeacnt Sync="TRUE">0</efeacnt>
                <spindex Sync="TRUE">TRUE</spindex>
                <linrefer Sync="TRUE">TRUE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
    <eainfo>
        <detailed Name="four_plex_parcels_dissolved">
            <enttyp>
                <enttypl Sync="TRUE">four_plex_parcels_dissolved</enttypl>
                <enttypt Sync="TRUE">Feature Class</enttypt>
                <enttypc Sync="TRUE">0</enttypc>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">OBJECTID</attrlabl>
                <attalias Sync="TRUE">OBJECTID</attalias>
                <attrtype Sync="TRUE">OID</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Internal feature number.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape</attrlabl>
                <attalias Sync="TRUE">Shape</attalias>
                <attrtype Sync="TRUE">Geometry</attrtype>
                <attwidth Sync="TRUE">0</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Feature geometry.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Coordinates defining the features.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Length</attrlabl>
                <attalias Sync="TRUE">Shape_Length</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Area</attrlabl>
                <attalias Sync="TRUE">Shape_Area</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20231114</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>