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            <resTitle>Find_Outliers_Library_Card_Addresses</resTitle>
            <date>
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                <reviseDate>2020-11-10T22:11:05</reviseDate>
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            <keyword>Analysis Result</keyword>
            <keyword>Find Outliers</keyword>
            <keyword>Library Card Addresses</keyword>
        </searchKeys>
        <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 62959 valid input features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There were 315 outlier locations; these will not be used to compute the polygon cell 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;The polygon cell size was 641.0000 Meters.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;The aggregation process resulted in 1910 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;513.0000&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;32.9628&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;67.1843&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: 2629.0000 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 1621 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 15 statistically significant high outlier features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 123 statistically significant low outlier features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 1137 features part of statistically significant low clusters.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 346 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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