<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20190722</CreaDate>
        <CreaTime>15520900</CreaTime>
        <ModDate>20190722</ModDate>
        <ModTime>15520900</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/9a4943e158af41adb9db4069d36b0f13/info/thumbnail/ago_downloaded.png</thumbnailURL>
                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=9a4943e158af41adb9db4069d36b0f13</itemDetailsURL>
                    <itemIdentifier>9a4943e158af41adb9db4069d36b0f13</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>https://services1.arcgis.com/cTNi34MxOdcfum3A/arcgis/rest/services/FreshProduce2/FeatureServer</resourceURL>
                </portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>FreshProduce2</resTitle>
            <date>
                <createDate>2019-07-22T15:52:09</createDate>
                <reviseDate>2019-07-22T15:53:10</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>Analysis Result</keyword>
            <keyword>Hot Spots</keyword>
            <keyword>ARCSNAP Retailers 2018 vs</keyword>
            <keyword>Fresh_Produce_y_n</keyword>
        </searchKeys>
        <idPurp>Feature layer generated from Find Hot Spots</idPurp>
        <idAbs>&lt;b&gt;The following report outlines the workflow used to optimize your Find Hot Spots result:&lt;/b&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;There were 2125 valid input features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;FRESH_PRODUCE_Y_N Properties:&lt;/li&gt;&lt;/ul&gt;&lt;table style='width: 200px;margin-left: 2.5em;border: none;'&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style='border: none;'&gt;Min&lt;/td&gt;&lt;td style='float:right;border: none;'&gt;0.0000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style='border: none;'&gt;Max&lt;/td&gt;&lt;td style='float: right;border: none;'&gt;1.0000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style='border: none;'&gt;Mean&lt;/td&gt;&lt;td style='float: right;border: none;'&gt;0.2075&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style='border: none;'&gt;Std. Dev.&lt;/td&gt;&lt;td style='float: right;border: none;'&gt;0.4055&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;There were 56 outlier locations; these were not used to compute the optimal fixed distance band.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;&lt;u&gt;&lt;b&gt;Scale of Analysis&lt;/b&gt;&lt;/u&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;The optimal fixed distance band was based on the average distance to 30 nearest neighbors: 14031.0000 Meters.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;&lt;u&gt;&lt;b&gt;Hot Spot Analysis&lt;/b&gt;&lt;/u&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;There are 0 output features statistically significant based on a FDR correction for multiple testing and spatial dependence.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;&lt;u&gt;&lt;b&gt;Output&lt;/b&gt;&lt;/u&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Red output features represent hot spots where high FRESH_PRODUCE_Y_N values cluster.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Blue output features represent cold spots where low FRESH_PRODUCE_Y_N values cluster.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;</idAbs>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL Sync="FALSE">-82.60107403002611</westBL>
                    <eastBL Sync="FALSE">-77.75521104542291</eastBL>
                    <northBL Sync="FALSE">40.619468982679486</northBL>
                    <southBL Sync="FALSE">37.25287199877017</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>9a4943e158af41adb9db4069d36b0f13</mdFileID>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>https://services1.arcgis.com/cTNi34MxOdcfum3A/arcgis/rest/services/FreshProduce2/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
</metadata>
