<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211206</CreaDate>
<CreaTime>12382600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20211206" Name="Reclassify (10)" Time="123826" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Spatial Analyst Tools.tbx\Reclassify">Reclassify "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\PC381 Fire Factor.gdb\WUI_2021_Clean" Value "0 0;1 3;2 1;3 2" "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\PC381 Fire Factor.gdb\WUI_2021" DATA</Process>
<Process Date="20211206" Name="Join Field (2)" Time="123831" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\JoinField">JoinField "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\PC381 Fire Factor.gdb\WUI_2021" VALUE "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\1-Spatial Data\WUI_DESC.csv" Value WUI_DESC</Process>
<Process Date="20211206" Time="130620" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "'C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\PC381 Fire Factor.gdb\WUI_2021' RasterDataset" "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\20211206 WUI Test.gdb" WUI_2021 "WUI_2021 RasterDataset WUI_2021 #"</Process>
<Process Date="20211206" Time="130740" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\20211206 WUI Test.gdb\WUI_2021" "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\20211206 WUI Test.gdb\Olympia_WUI_2021" RasterDataset</Process>
<Process Date="20211206" Time="131548" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\20211206 WUI Test.gdb\Olympia_WUI_2021" "C:\Users\crudeen\Documents\ArcGIS\Projects\PC381 Fire Factor\20211206 WUI Test.gdb\Gainsville_WUI_2021" RasterDataset</Process>
</lineage>
<LayerFile>{"type":"CIMLayerDocument","version":"2.9.0","build":32739,"layers":["CIMPATH=wui/wui_2021.xml"],"layerDefinitions":[{"type":"CIMRasterLayer","name":"WUI_2021","uRI":"CIMPATH=wui/wui_2021.xml","sourceModifiedTime":{"type":"TimeInstant"},"useSourceMetadata":true,"description":"WUI_2021","layerElevation":{"type":"CIMLayerElevationSurface","mapElevationID":"{45E64E7D-8DDC-4799-AD3F-67E7F21CACC8}"},"expanded":true,"layerType":"Operational","showLegends":true,"visibility":true,"displayCacheType":"Permanent","maxDisplayCacheAge":5,"showPopups":true,"serviceLayerID":-1,"refreshRate":-1,"refreshRateUnit":"esriTimeUnitsSeconds","blendingMode":"Alpha","allowDrapingOnIntegratedMesh":true,"dataConnection":{"type":"CIMStandardDataConnection","workspaceConnectionString":"DATABASE=..\\..\\..\\..\\..\\Documents\\ArcGIS\\Projects\\PC381 Fire Factor\\PC381 Fire Factor.gdb","workspaceFactory":"FileGDB","dataset":"WUI_2021","datasetType":"esriDTRasterDataset"},"colorizer":{"type":"CIMRasterUniqueValueColorizer","resamplingType":"NearestNeighbor","fieldName":"Value","groups":[{"type":"CIMRasterUniqueValueGroup","classes":[{"type":"CIMRasterUniqueValueClass","values":["0"],"label":"0","color":{"type":"CIMRGBColor","values":[63,149,103,100]}},{"type":"CIMRasterUniqueValueClass","values":["1"],"label":"1","color":{"type":"CIMRGBColor","values":[101,85,239,100]}},{"type":"CIMRasterUniqueValueClass","values":["2"],"label":"2","color":{"type":"CIMRGBColor","values":[247,88,117,100]}},{"type":"CIMRasterUniqueValueClass","values":["3"],"label":"3","color":{"type":"CIMRGBColor","values":[251,187,94,100]}}],"heading":"Value"}],"colorRamp":{"type":"CIMRandomHSVColorRamp","colorSpace":{"type":"CIMICCColorSpace","url":"Default RGB"},"maxH":360,"minS":33,"maxS":66,"minV":50,"maxV":99,"minAlpha":100,"maxAlpha":100}},"attributeTable":{"type":"CIMRasterTable","displayField":"Value","editable":true}}]}</LayerFile>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>PC381</keyword>
<keyword>WUI</keyword>
</searchKeys>
<idPurp>Gainesville WUI 2021</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Gainesville WUI 2021</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
