<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20220412</CreaDate>
        <CreaTime>00380700</CreaTime>
        <ModDate>20220412</ModDate>
        <ModTime>00380700</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/b7d30122125048ca8985cef81a1deff2/info/thumbnail/ago_downloaded.png</thumbnailURL>
                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=b7d30122125048ca8985cef81a1deff2</itemDetailsURL>
                    <itemIdentifier>b7d30122125048ca8985cef81a1deff2</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>https://services1.arcgis.com/x5wCko8UnSi4h0CB/arcgis/rest/services/Patterns_uninsured/FeatureServer</resourceURL>
                </portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Patterns_uninsured</resTitle>
            <date>
                <createDate>2022-04-12T00:38:07</createDate>
                <reviseDate>2022-04-12T00:39:36</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>Analysis Result</keyword>
            <keyword>Hot Spots</keyword>
            <keyword>County Health Rankings 2020 - County</keyword>
            <keyword>v085_rawvalue</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 3107 valid input features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;V085_RAWVALUE 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;2.2627&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;33.7496&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;11.4167&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;5.1053&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;ul&gt;&lt;li&gt;There were 67 outlier locations; these were not used to compute the optimal fixed distance band.&lt;/li&gt;&lt;/ul&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: 150745.0000 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 2264 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 V085_RAWVALUE value cluster.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Blue output features represent cold spots where low V085_RAWVALUE value cluster.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;</idAbs>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL Sync="FALSE">-124.76257804387305</westBL>
                    <eastBL Sync="FALSE">-66.9500779593068</eastBL>
                    <northBL Sync="FALSE">49.38435907480248</northBL>
                    <southBL Sync="FALSE">24.52107516412796</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>b7d30122125048ca8985cef81a1deff2</mdFileID>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>https://services1.arcgis.com/x5wCko8UnSi4h0CB/arcgis/rest/services/Patterns_uninsured/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="102100"/>
                <idCodeSpace>EPSG</idCodeSpace>
            </refSysID>
        </RefSystem>
    </refSysInfo>
</metadata>
