<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<Esri>
<CreaDate>20180205</CreaDate>
<CreaTime>15502400</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20210914</SyncDate>
<SyncTime>06014500</SyncTime>
<ModDate>20210914</ModDate>
<ModTime>06014500</ModTime>
<PublishStatus>Published</PublishStatus>
<DataProperties>
<lineage>
<Process Date="20090618" Name="" Time="115728" ToolSource="C:\Program Files\ArcGIS\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass" export="">FeatureClassToFeatureClass "Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW" C:\Storage\BIS-GIS GIS_MON_LOC.shp # "UNIQUE_ID 'UNIQUE_ID' true true false 9 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,UNIQUE_ID,-1,-1;MONUMENT_N 'MONUMENT_N' true true false 6 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,MONUMENT_NAME,-1,-1;RANGE 'RANGE' true true false 1 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,RANGE,-1,-1;STATE_PLAN 'STATE_PLAN' true true false 12 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,STATE_PLANE_ZONE,-1,-1;EASTING 'EASTING' true true false 8 Double 2 9 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,EASTING,-1,-1;NORTHING 'NORTHING' true true false 8 Double 2 9 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,NORTHING,-1,-1;DATUM_STAT 'DATUM_STAT' true true false 35 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,DATUM_STATE_PLANE,-1,-1;LONGITUDE 'LONGITUDE' true true false 8 Double 6 12 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,LONGITUDE,-1,-1;LATITUDE 'LATITUDE' true true false 8 Double 6 12 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,LATITUDE,-1,-1;DATUM_LAT_ 'DATUM_LAT_' true true false 40 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,DATUM_LAT_LONG,-1,-1;PROXIMITY 'PROXIMITY' true true false 40 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,PROXIMITY,-1,-1;ACCURACY_M 'ACCURACY_M' true true false 15 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,ACCURACY_METERS,-1,-1;QA_STATUS 'QA_STATUS' true true false 12 Text 0 0 ,First,#,Database Connections\Connection to arcsde.sde\DEP.GIS_MON_LOC_SP_VW,QA_STATUS,-1,-1" # C:\Storage\BIS-GIS\GIS_MON_LOC.shp</Process>
<Process Date="20180205" Name="" Time="162610" ToolSource="c:\program files (x86)\arcgis\desktop10.5\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass" export="">FeatureClassToFeatureClass C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC "Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Importer" survey_R_Monument # "UNIQUE_ID "UNIQUE_ID" true true false 9 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,UNIQUE_ID,-1,-1;MONUMENT_N "MONUMENT_N" true true false 6 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,MONUMENT_N,-1,-1;RANGE "RANGE" true true false 1 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,RANGE,-1,-1;STATE_PLAN "STATE_PLAN" true true false 12 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,STATE_PLAN,-1,-1;EASTING "EASTING" true true false 8 Double 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,EASTING,-1,-1;NORTHING "NORTHING" true true false 8 Double 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,NORTHING,-1,-1;DATUM_STAT "DATUM_STAT" true true false 35 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,DATUM_STAT,-1,-1;LONGITUDE "LONGITUDE" true true false 8 Double 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,LONGITUDE,-1,-1;LATITUDE "LATITUDE" true true false 8 Double 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,LATITUDE,-1,-1;DATUM_LAT_ "DATUM_LAT_" true true false 40 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,DATUM_LAT_,-1,-1;PROXIMITY "PROXIMITY" true true false 40 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,PROXIMITY,-1,-1;ACCURACY_M "ACCURACY_M" true true false 15 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,ACCURACY_M,-1,-1;QA_STATUS "QA_STATUS" true true false 12 Text 0 0 ,First,#,C:\Ivy\GIS\Work.gdb\survey_R_Monument_SJC,QA_STATUS,-1,-1" #</Process>
<Process Date="20180205" Name="" Time="162755" ToolSource="c:\program files (x86)\arcgis\desktop10.5\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass" export="">FeatureClassToFeatureClass "Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument" "Database Connections\ATHENA.GISDL.GIS.sde\gisdl.GIS.Importer" survey_R_Monument # "UNIQUE_ID "UNIQUE_ID" true true false 9 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,UNIQUE_ID,-1,-1;MONUMENT_N "MONUMENT_N" true true false 6 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,MONUMENT_N,-1,-1;RANGE "RANGE" true true false 1 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,RANGE,-1,-1;STATE_PLAN "STATE_PLAN" true true false 12 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,STATE_PLAN,-1,-1;EASTING "EASTING" true true false 8 Double 8 38 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,EASTING,-1,-1;NORTHING "NORTHING" true true false 8 Double 8 38 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,NORTHING,-1,-1;DATUM_STAT "DATUM_STAT" true true false 35 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,DATUM_STAT,-1,-1;LONGITUDE "LONGITUDE" true true false 8 Double 8 38 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,LONGITUDE,-1,-1;LATITUDE "LATITUDE" true true false 8 Double 8 38 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,LATITUDE,-1,-1;DATUM_LAT_ "DATUM_LAT_" true true false 40 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,DATUM_LAT_,-1,-1;PROXIMITY "PROXIMITY" true true false 40 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,PROXIMITY,-1,-1;ACCURACY_M "ACCURACY_M" true true false 15 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,ACCURACY_M,-1,-1;QA_STATUS "QA_STATUS" true true false 12 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.survey_R_Monument,QA_STATUS,-1,-1" #</Process>
</lineage>
<itemProps>
<itemLocation>
<linkage Sync="TRUE">Server=athena.intranet.co.st-johns.fl.us; Service=sde:sqlserver:athena.intranet.co.st-johns.fl.us; Database=gisdl; User=gis; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
<itemName Sync="TRUE">gisdl.GIS.survey_R_Monument_wmas</itemName>
<nativeExtBox>
<westBL Sync="TRUE">-9059425.299500</westBL>
<eastBL Sync="TRUE">-9040137.013400</eastBL>
<southBL Sync="TRUE">3459994.511600</southBL>
<northBL Sync="TRUE">3536851.187200</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<copyHistory>
<copy date="20140110" dest="\\BOCCFP2\gis\gisdata\Facility\survey_R_MonumentCopy" source="G:\Facility\survey_R_Monument" time="12414000"/>
</copyHistory>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<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/10.6'&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;10000&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;0.001&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>
</coordRef>
</DataProperties>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
<ArcGISFormat>1.0</ArcGISFormat>
<scaleRange>
<minScale>500000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpOrgName>St. Johns County GIS Division</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>904-209-0778</voiceNum>
<faxNum>904-209-0779</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>500 San Sebastian Vw</delPoint>
<city>St. Augustine</city>
<adminArea>Florida</adminArea>
<postCode>32084</postCode>
<eMailAdd>gis@sjcfl.us</eMailAdd>
</cntAddress>
<cntHours>8:00 am To 5:00 pm M-F</cntHours>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20210914</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<rpOrgName>St. Johns County GIS Division</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>904-209-0778</voiceNum>
<faxNum>904-209-0779</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>500 San Sebastian Vw</delPoint>
<city>St. Augustine</city>
<adminArea>Florida</adminArea>
<postCode>32084</postCode>
<eMailAdd>gis@sjcfl.us</eMailAdd>
</cntAddress>
<cntHours>8:00 am To 5:00 pm M-F</cntHours>
</rpCntInfo>
<role>
<RoleCd value="005"/>
</role>
</distorCont>
<distorOrdPrc>
<resFees>No fees</resFees>
<ordInstr>Data available for download.</ordInstr>
</distorOrdPrc>
</distributor>
<distFormat>
<formatName Sync="FALSE">Web Layer</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">Survey R Monuments</resTitle>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This dataset contains points representing coastal control reference monuments used by the St. Johns County Land Management Survey Department.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>Coastal control reference monuments for St. Johns County.</idPurp>
<idCredit>Data content is created and/or maintained by the St. Johns County GIS Division and the Florida Department of Transportation (FDOT).</idCredit>
<placeKeys>
<keyword>St. Johns County, Florida, Southeast, United States, North America, St. Augustine</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Category</resTitle>
</thesaName>
<keyword>Billboard, Sign, Advertisement, Outdoor, Conveys Message, Sign Board, structure</keyword>
</themeKeys>
<searchKeys>
<keyword>survey</keyword>
<keyword>control</keyword>
<keyword>monument</keyword>
</searchKeys>
<resConst>
<LegConsts>
<useLimit>See access and use constraints information.</useLimit>
<othConsts>The St. Johns County GIS Division provides this data "as is" and makes no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.</othConsts>
</LegConsts>
</resConst>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Information from the St. Johns County Geographic Information System is provided for general reference purposes only and is not to be construed as a survey or legal document. Errors from non-coincidence of features from different sources may be present. The St. Johns County Geographic Information System makes every reasonable effort to ensure that the information provided herein is current and accurate. However, St. Johns County provides no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>-81.382202</westBL>
<eastBL>-81.208932</eastBL>
<southBL>29.660198</southBL>
<northBL>30.259123</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-81.382202</westBL>
<eastBL Sync="TRUE">-81.208932</eastBL>
<northBL Sync="TRUE">30.258734</northBL>
<southBL Sync="TRUE">29.660578</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="017"/>
</tpCat>
</dataIdInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="gisdl.GIS.survey_R_Monument_wmas">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">217</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="gisdl.GIS.survey_R_Monument_wmas">
<enttyp>
<enttypl Sync="TRUE">gisdl.GIS.survey_R_Monument_wmas</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">217</enttypc>
</enttyp>
<attr>
<attrlabl>DATUM_LAT_</attrlabl>
<attalias Sync="TRUE">DATUM_LAT_</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>EASTING</attrlabl>
<attalias Sync="TRUE">EASTING</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>STATE_PLAN</attrlabl>
<attalias Sync="TRUE">STATE_PLAN</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>MONUMENT_N</attrlabl>
<attalias Sync="TRUE">MONUMENT_N</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">6</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<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>
</attr>
<attr>
<attrlabl>ACCURACY_M</attrlabl>
<attalias Sync="TRUE">ACCURACY_M</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DATUM_STAT</attrlabl>
<attalias Sync="TRUE">DATUM_STAT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">35</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>UNIQUE_ID</attrlabl>
<attalias Sync="TRUE">UNIQUE_ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">9</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>QA_STATUS</attrlabl>
<attalias Sync="TRUE">QA_STATUS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>LONGITUDE</attrlabl>
<attrdef>The X coordinate of a set of coordinates that identifies specifically where the billboard is located.</attrdef>
<attalias Sync="TRUE">LONGITUDE</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>PROXIMITY</attrlabl>
<attalias Sync="TRUE">PROXIMITY</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>Shape</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<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>
</attr>
<attr>
<attrlabl>NORTHING</attrlabl>
<attalias Sync="TRUE">NORTHING</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>RANGE</attrlabl>
<attalias Sync="TRUE">RANGE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>LATITUDE</attrlabl>
<attrdef>The Y coordinate of a set of coordinates that identifies specifically where the billboard is located.</attrdef>
<attalias Sync="TRUE">LATITUDE</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
</detailed>
</eainfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.8(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="gisdl.GIS.survey_R_Monument_wmas">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">217</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
