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            <resTitle>Find_Outliers_Tree_Inventory</resTitle>
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                <reviseDate>2024-09-04T17:27:14</reviseDate>
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            <keyword>Analysis Result</keyword>
            <keyword>Find Outliers</keyword>
            <keyword>Tree_Inventory</keyword>
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        <idPurp>Feature layer generated from Find Outliers</idPurp>
        <idAbs>&lt;b&gt;The following report outlines the workflow used to optimize your Find Outliers result:&lt;/b&gt;&lt;br /&gt;&lt;u&gt;&lt;b&gt;Initial Data Assessment.&lt;/b&gt;&lt;/u&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;There were 287173 valid input features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There were 2700 outlier locations; these were not used to compute the hexagon size.&lt;/li&gt;&lt;/ul&gt;&lt;u&gt;&lt;b&gt;Incident Aggregation&lt;/b&gt;&lt;/u&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Using a hexagon of width 984.9596 Meters and height 853.0000 Meters.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;The aggregation process resulted in 4041 weighted areas.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Incident Count 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;1.0000&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;1040.0000&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;71.0648&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;135.5602&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&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: 2583.0000 Meters.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;&lt;u&gt;&lt;b&gt;Outlier Analysis&lt;/b&gt;&lt;/u&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Creating the random reference distribution with 499 permutations.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 3521 output features statistically significant based on a FDR correction for multiple testing and spatial dependence.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 52 statistically significant high outlier features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 299 statistically significant low outlier features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 2446 features part of statistically significant low clusters.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 724 features part of statistically significant high clusters.&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;Pink output features are part of a cluster of high  values.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Light Blue output features are part of a cluster of low  values.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Red output features represent high outliers within a cluster of low  values.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Blue output features represent low outliers within a cluster of high  values.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;</idAbs>
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                <linkage>https://servicesdev.arcgis.com/LkFyxb9zDq7vAOAm/arcgis/rest/services/Find_Outliers_Tree_Inventory/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="102100"/>
                <idCodeSpace>EPSG</idCodeSpace>
            </refSysID>
        </RefSystem>
    </refSysInfo>
</metadata>
