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            <resTitle>Find_Outliers_Shape__Area</resTitle>
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                <reviseDate>2020-11-30T02:27:06</reviseDate>
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            <keyword>Analysis Result</keyword>
            <keyword>Find Outliers</keyword>
            <keyword>WNS_Status_Provisional_5_8_2019</keyword>
            <keyword>Shape__Area</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 542 valid input features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;SHAPE__AREA 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;405758630.7266&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;45364189738.7344&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;3980342605.8000&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;4454813718.8607&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;ul&gt;&lt;li&gt;There were 15 outlier locations; these will not be 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 27 nearest neighbors: 272249.0000 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 364 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 13 statistically significant high outlier features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 8 statistically significant low outlier features.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 277 features part of statistically significant low clusters.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;There are 66 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 SHAPE__AREA values.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Light Blue output features are part of a cluster of low SHAPE__AREA values.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Red output features represent high outliers within a cluster of low SHAPE__AREA values.&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Blue output features represent low outliers within a cluster of high SHAPE__AREA values.&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;</idAbs>
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