<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211102</CreaDate>
<CreaTime>16113200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>RoadCenterline</resTitle>
</idCitation>
<idAbs>Road centerlines for City of Loveland, Colorado, created at a high level of detail to coincide closely with latest aerial imagery. Road segment geometry and attributes developed at a level of quality commensurate with GIS-based network routing analysis.</idAbs>
<searchKeys>
<keyword>roads</keyword>
<keyword>streets</keyword>
<keyword>centerline</keyword>
<keyword>loveland</keyword>
</searchKeys>
<idPurp>Road centerlines for City of Loveland, Colorado.</idPurp>
<idCredit>City of Loveland IT-GIS</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN STYLE="font-size:16pt"&gt;&lt;SPAN&gt;This feature class can be used for mapping projects as well as for geocoding of addresses within the Loveland city limits.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-weight:bold;font-size:16pt"&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-size:16pt"&gt;&lt;SPAN&gt;Eventually the City will try and use it as primary source for Emergency Response.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-size:16pt"&gt;&lt;SPAN&gt;As this feature class is currently maintained only within the Loveland city limits, it should not be relied upon for geocoding addresses in the County.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
