<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20230413</CreaDate>
<CreaTime>20192900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Subvivision</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">912439.708259</westBL>
<eastBL Sync="TRUE">968213.524861</eastBL>
<southBL Sync="TRUE">841193.692981</southBL>
<northBL Sync="TRUE">901544.961058</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983_HARN</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_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_HARN_StatePlane_Florida_East_FIPS_0901_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983_HARN&amp;quot;,DATUM[&amp;quot;D_North_American_1983_HARN&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;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,656166.6666666665],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-81.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9999411764705882],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,24.33333333333333],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2881]]&lt;/WKT&gt;&lt;XOrigin&gt;-17791300&lt;/XOrigin&gt;&lt;YOrigin&gt;-41645400&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&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;2881&lt;/WKID&gt;&lt;LatestWKID&gt;2881&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20230502</SyncDate>
<SyncTime>10295700</SyncTime>
<ModDate>20230502</ModDate>
<ModTime>11551000</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</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="FALSE">Subdivision</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-80.215426</westBL>
<eastBL Sync="TRUE">-80.043306</eastBL>
<northBL Sync="TRUE">26.811778</northBL>
<southBL Sync="TRUE">26.644717</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>Polygon feature class that identifies platted subdivisions and to provide a data layer for various mapping and analytical needs for use with other City of West Palm Beach GIS data sets.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Purpose: &lt;/SPAN&gt;&lt;SPAN&gt;Polygon feature class that identifies platted subdivisions. This layer was created by dissolving parcels by sec, twp, range, sub, the populating a common know as sub name attribute for all shapes then summarizing on the sub name to generate a boundary based on the common subdivision name. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Intended Use: &lt;/SPAN&gt;&lt;SPAN&gt;used for the location and analysis purpose of features within a subdivision&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Department: &lt;/SPAN&gt;&lt;SPAN&gt;Development Services, Planning Division&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Data Source: &lt;/SPAN&gt;&lt;SPAN&gt;referenced from the geodatbase Planning dataset&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;How was the data derived: &lt;/SPAN&gt;&lt;SPAN&gt;This layer was created by dissolving parcels by sec, twp, range, sub, the populating a common know as sub name attribute for all shapes then summarizing on the sub name to generate a boundary based on the common subdivision name.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;How was the data modified: &lt;/SPAN&gt;&lt;SPAN&gt;updated per parcel updates&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Update Frequency: &lt;/SPAN&gt;&lt;SPAN&gt;Static layer, updated as needed and directed by Planning Division&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>City of West Palm Beach - GIS; Development Services: Planning Division</idCredit>
<searchKeys>
<keyword>Subdivision</keyword>
<keyword>Planning</keyword>
<keyword>West Palm Beach</keyword>
<keyword>gated communities</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This data is provided for reference purposes only. Any reliance on the information contained herein is at the user’s own risk.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;NO WARRANTY EXPRESSED OR IMPLIED IS MADE REGARDING THE ACCURACY, ADEQUACY, COMPLETENESS, LEGALITY, RELIABILITY, TIMELINESS OR USEFULNESS OF THE DATA. ALL WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED INCLUDED BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, ARE DISCLAIMED.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2881"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Subvivision">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">468</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Subvivision">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">468</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Subvivision">
<enttyp>
<enttypl Sync="FALSE">Subvivision</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">468</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">10</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">FACILITYID</attrlabl>
<attalias Sync="TRUE">Asset-ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SCALEIN</attrlabl>
<attalias Sync="TRUE">Scale In</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SCALEOUT</attrlabl>
<attalias Sync="TRUE">Scale Out</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SUBDIVISION</attrlabl>
<attalias Sync="TRUE">Subdivision Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">65</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LASTEDITOR</attrlabl>
<attalias Sync="TRUE">Last Editor</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">LAUTUPDATE</attrlabl>
<attalias Sync="TRUE">Last Update Date</attalias>
<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">SHAPE</attrlabl>
<attalias Sync="TRUE">SHAPE</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</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.STArea()</attrlabl>
<attalias Sync="TRUE">SHAPE.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.STLength()</attrlabl>
<attalias Sync="TRUE">SHAPE.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20230502</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAeAB4AAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
