<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20241108</CreaDate>
<CreaTime>10551500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>There are two datasets within this service, one for quality and one for quantity:
1.) Architectural Survey Quality - This dataset uses a hexagonal grid (200ac per hex) joined to architectural boundaries to generalize the quality of survey over an area. Architectural resources were given a score of 1 to 3 based on the time frame in which they were surveyed. A score of 3 (high) was given to resources surveyed within the last 5 years. A score of 2 was given to resources surveyed between 5 and 15 years. Everything else was given a 1. The mean value of all resources within a hexagon was then calculated and used to symbolize the data.
2.) Architectural Survey Quantity - This dataset was created by joining the architectural resources to the locality boundaries. If a resource overlaps more than one locality it is counted in each locality. The count per locality was used to symbolize the data. </idAbs>
<searchKeys>
<keyword>Virginia</keyword>
<keyword>Architecture</keyword>
<keyword>Preservation</keyword>
<keyword>Architectural Survey</keyword>
</searchKeys>
<idPurp>Datasets demonstrate the quality and quantity of Architectural Survey in the Commonwealth of Virginia</idPurp>
<idCredit>dominic.bascone@dhr.virginia.gov</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Architectural_Survey_Covereage</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
