<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250205</CreaDate>
<CreaTime>10465200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Sheriff Highway Patrol Boundaries</resTitle>
</idCitation>
<idAbs>The dataset is based on the RCMP K Division boundaries and is representative of the jurisdictions of Alberta Sheriff Highway Patrol Units. The dataset is to help Government of Alberta Staff and external consultants to determine the boundaries of their jurisdiction. Please refer to the metadata included with the data for full entity attribute information.</idAbs>
<idPurp>The Sheriff Highway Patrol Units (SHP) Sites dataset was created for administrative purposes and is to be used internally by government staff and by external consultants. The dataset provides users with GIS ready polygonal representation of the Sheriff Highway Patrol Units in the province of Alberta, and is suitable for indexing or analysis purposes.</idPurp>
<idCredit>None</idCredit>
<resConst>
<Consts>
<useLimit>Government of Alberta departments and authorized agencies may have conditional access to this data for internal business purposes.Government of Alberta departments and authorized agencies may conditionally use this data for internal business purposes which includes conditional sharing of the data with other third parties (i.e. contractors, stakeholders) if necessary for reasonable use of the data relating to the provision of services to the Crown as represented by each Ministry.</useLimit>
</Consts>
</resConst>
<searchKeys>
<keyword>Sheriff</keyword>
<keyword>SHP</keyword>
<keyword>Sheriff Highway Patrol</keyword>
</searchKeys>
</dataIdInfo>
<Binary>
<Thumbnail>
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</Data>
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