<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20231130</CreaDate>
<CreaTime>13502300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20231130" Time="135023" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFishnet">CreateFishnet S:\ArcGIS_Server_MapServices\GWMA\NitrateRankingGrid\NitrateRankingGrid.gdb\Nitrate_Ranking_Grid "1650617.93003397 309929.339905813" "1650617.93003397 309939.339905813" 2640 2640 # # "1800336.98000473 433548.000148311" LABELS "1650617.93003397 309929.339905813 1800336.98000473 433548.000148311 PROJCS["NAD_1983_StatePlane_Washington_South_FIPS_4602_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",45.83333333333334],PARAMETER["Standard_Parallel_2",47.33333333333334],PARAMETER["Latitude_Of_Origin",45.33333333333334],UNIT["Foot_US",0.3048006096012192]]" Polygon</Process>
<Process Date="20231130" Time="141914" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures Nitrate_Ranking_Grid S:\ArcGIS_Server_MapServices\GWMA\NitrateRankingGrid\NitrateRankingGrid.gdb\Nitrate_Ranking_Grid_SummarizeWithin # # # #</Process>
<Process Date="20231130" Time="142025" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\JoinField">JoinField S:\ArcGIS_Server_MapServices\GWMA\NitrateRankingGrid\NitrateRankingGrid.gdb\Nitrate_Ranking_Grid_SummarizeWithin OBJECTID S:\ArcGIS_Server_MapServices\GWMA\NitrateRankingGrid\scratch.gdb\summary_stats FID_Nitrate_Ranking_Grid_SummarizeWithin # "Select transfer fields" #</Process>
<Process Date="20231130" Time="142030" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateFields">CalculateFields tempLayer "Python 3" "Point_Count 0" # NO_ENFORCE_DOMAINS</Process>
<Process Date="20231130" Time="142037" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField S:\ArcGIS_Server_MapServices\GWMA\NitrateRankingGrid\NitrateRankingGrid.gdb\Nitrate_Ranking_Grid_SummarizeWithin FID_Nitrate_Ranking_Grid_SummarizeWithin "Delete Fields"</Process>
<Process Date="20231130" Time="142052" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\SummarizeWithin">SummarizeWithin Nitrate_Ranking_Grid Nitrate_Wells_All S:\ArcGIS_Server_MapServices\GWMA\NitrateRankingGrid\NitrateRankingGrid.gdb\Nitrate_Ranking_Grid_SummarizeWithin KEEP_ALL "Nitrate_Map Mean" ADD_SHAPE_SUM "Square kilometers" # NO_MIN_MAJ NO_PERCENT #</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">Nitrate_Ranking_Grid_SummarizeWithin</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\GIS-Cascades\GIS Data\ArcGIS_Server_MapServices\GWMA\NitrateRankingGrid\NitrateRankingGrid.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Washington_South_FIPS_4602_Feet</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Washington_South_FIPS_4602_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,45.83333333333334],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,47.33333333333334],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,45.33333333333334],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2286]]&lt;/WKT&gt;&lt;XOrigin&gt;-117498300&lt;/XOrigin&gt;&lt;YOrigin&gt;-98850300&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102749&lt;/WKID&gt;&lt;LatestWKID&gt;2286&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20231130</SyncDate>
<SyncTime>14191300</SyncTime>
<ModDate>20231130</ModDate>
<ModTime>14191300</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.0.3.36057</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Nitrate Ranking Grid</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>GWMA</keyword>
</searchKeys>
<idPurp>Half mile grid with Nitrogen Levels.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2286"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Nitrate_Ranking_Grid_SummarizeWithin">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Nitrate_Ranking_Grid_SummarizeWithin">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Nitrate_Ranking_Grid_SummarizeWithin">
<enttyp>
<enttypl Sync="TRUE">Nitrate_Ranking_Grid_SummarizeWithin</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20231130</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
