<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20200807</CreaDate>
<CreaTime>15443100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>RGDW_Publication_1.4</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>SANDAG performs an annual land use and housing unit inventory in the interest of
maintaining a robust and accurate catalog of the existing conditions for any given year. This catalog of snapshots are the land use data on which the regional
growth forecast is based every four years. Prior to performing our annual inventory, the polygon geometry for the regionwide layer is updated with a snapshot of parcels from SanGIS representative of January 1st of the given year. The land use information has been updated continuously since 2000 using aerial photography, the County Assessor Master Property Records file, and other ancillary information.
To make the Landuse2019 feature class, adjacent parcel polygons with the same land use have been aggregated (dissolved) into a single feature.</idAbs>
<searchKeys>
<keyword>SANDAG</keyword>
<keyword>Land Use</keyword>
<keyword>San Diego</keyword>
</searchKeys>
<idPurp>Existing (2019) SANDAG land use. Used for mapping and analysis. Used for SANDAG Regional Growth Forecasts.</idPurp>
<idCredit>SANDAG</idCredit>
<resConst>
<Consts>
<useLimit>Review the SANDAG Data Disclaimer: https://www.sandag.org/resources/maps_and_gis/gis_downloads/disclaimer.asp</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>LandUse_2019</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
