<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20240619</CreaDate>
<CreaTime>16485100</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20240628</SyncDate>
<SyncTime>10153800</SyncTime>
<ModDate>20240628</ModDate>
<ModTime>10153800</ModTime>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">NV_County_CITIES</itemName>
<nativeExtBox>
<westBL Sync="TRUE">6815896.802058</westBL>
<eastBL Sync="TRUE">7108303.498739</eastBL>
<southBL Sync="TRUE">2190667.575675</southBL>
<northBL Sync="TRUE">2272553.484409</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</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/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;148923141.92838538&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;0.001&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
</coordRef>
</DataProperties>
<ArcGISProfile>FGDC</ArcGISProfile>
<ArcGISFormat>1.0</ArcGISFormat>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
<mdLang xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdContact xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<rpIndName>Nevada County GIS</rpIndName>
<rpOrgName>Nevada County</rpOrgName>
<rpPosName>GIS</rpPosName>
<role>
<RoleCd value="006"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>950 Maidu Ave.</delPoint>
<city>Nevada City</city>
<adminArea>CA</adminArea>
<postCode>95959</postCode>
<eMailAdd>MapInquiry@co.nevada.ca.us</eMailAdd>
<country>USA</country>
</cntAddress>
<cntPhone>
<voiceNum>530-470-2500</voiceNum>
</cntPhone>
<cntHours>8-5 M-F</cntHours>
</rpCntInfo>
</mdContact>
<mdDateSt xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">20160210</mdDateSt>
<dataIdInfo xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<dataLang>
<languageCode country="US" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">City Sphere Boundary</resTitle>
<citRespParty>
<rpIndName>Nevada County GIS</rpIndName>
<rpOrgName>Nevada County</rpOrgName>
<rpPosName>GIS</rpPosName>
<role>
<RoleCd value="006"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>950 Maidu Ave.</delPoint>
<city>Nevada City</city>
<adminArea>CA</adminArea>
<postCode>95959</postCode>
<eMailAdd>MapInquiry@co.nevada.ca.us</eMailAdd>
<country>USA</country>
</cntAddress>
<cntPhone>
<voiceNum>530-470-2500</voiceNum>
</cntPhone>
<cntHours>8-5 M-F</cntHours>
</rpCntInfo>
</citRespParty>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<westBL>-121.103183</westBL>
<eastBL>-120.065776</eastBL>
<northBL>39.398928</northBL>
<southBL>39.161631</southBL>
<exTypeCode>1</exTypeCode>
</GeoBndBox>
</geoEle>
<exDesc>Nevada County, California - latest information</exDesc>
</dataExt>
<idPurp>City Sphere Boundary contains the outline of the current city boundaries along with spheres of influence date ranges.</idPurp>
<idAbs>This data set includes the boundaries and spheres of influence of Grass Valley, Nevada City, and Truckee. The data set is edited to include city / town annexations on an ongoing basis.</idAbs>
<searchKeys>
<keyword>city</keyword>
<keyword>cities</keyword>
<keyword>boundary</keyword>
<keyword>boundaries</keyword>
<keyword>sphere</keyword>
<keyword>influence</keyword>
<keyword>Nevada County</keyword>
<keyword>California</keyword>
<keyword>United States</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>Every reasonable effort has been made to assure the accuracy of the maps and data provided; nevertheless, some information may not be accurate. The County of Nevada assumes no responsibility arising from use of this information. THE MAPS AND ASSOCIATED DATA ARE PROVIDED WITHOUT WARRANTY OF ANY KIND, either expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Before making decisions using the information provided on this map, contact the Nevada County Public Counter staff to confirm the validity of the data provided.</useLimit>
</Consts>
</resConst>
<idPoC>
<rpIndName>Nevada County GIS</rpIndName>
<rpOrgName>Nevada County</rpOrgName>
<rpPosName>GIS</rpPosName>
<role>
<RoleCd value="006"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>950 Maidu Ave.</delPoint>
<city>Nevada City</city>
<adminArea>CA</adminArea>
<postCode>95959</postCode>
<eMailAdd>MapInquiry@co.nevada.ca.us</eMailAdd>
<country>USA</country>
</cntAddress>
<cntPhone>
<voiceNum>530-470-2500</voiceNum>
</cntPhone>
<cntHours>8-5 M-F</cntHours>
</rpCntInfo>
</idPoC>
<dataChar>
<CharSetCd value="4"/>
</dataChar>
<idStatus>
<ProgCd value="004"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<idCredit>LAFCO of Nevada County, Nevada County GIS</idCredit>
<envirDesc Sync="FALSE">Esri ArcGIS 13.3.0.52636</envirDesc>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
</dataIdInfo>
<eainfo xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<detailed Name="NV_County_CITIES">
<attr>
<attrlabl Sync="TRUE">NAME</attrlabl>
<attalias Sync="FALSE">City Name</attalias>
<attrdef>City Name: Name of City Boundary</attrdef>
<attrdefs>Nevada County GIS</attrdefs>
<attrdomv>
<udom>Grass Valley, Nevada City, or Truckee</udom>
</attrdomv>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">16</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">FID</attrlabl>
<attalias Sync="TRUE">FID</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">TYPE</attrlabl>
<attalias Sync="FALSE">Boundary Type</attalias>
<attrdef>Boundary Type: Distinction of city -vs- sphere of influence </attrdef>
<attrdefs>Nevada County GIS</attrdefs>
<attrdomv>
<udom>CITY, SPHERE</udom>
</attrdomv>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">DateRange</attrlabl>
<attalias Sync="FALSE">Date Range</attalias>
<attrdef>Date Range: Date range for when each SOI is valid</attrdef>
<attrdefs>Nevada County GIS</attrdefs>
<attrdomv>
<udom>Free form</udom>
</attrdomv>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">EditorName</attrlabl>
<attalias Sync="TRUE">EditorName</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LastUpdate</attrlabl>
<attalias Sync="FALSE">Last Updated</attalias>
<attrdef>Last Updated: Date this record was last updated.</attrdef>
<attrdefs>Nevada County GIS</attrdefs>
<attrdomv>
<udom>dd/mm/yyyy</udom>
</attrdomv>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GlobalID</attrlabl>
<attalias Sync="TRUE">GlobalID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrdef>Feature geometry</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<enttyp>
<enttypl Sync="TRUE">NV_County_CITIES</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">SHAPE_Leng</attrlabl>
<attalias Sync="TRUE">SHAPE_Leng</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE_Area</attrlabl>
<attalias Sync="TRUE">SHAPE_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</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>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Shapefile</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="NV_County_CITIES">
<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="NV_County_CITIES">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">FALSE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
</metadata>
