1.0 DCPLUS 20230628 00281100 20230628 00281100 https://www.arcgis.com/home/item.html?id=f645486348fd4809ab2b4f9ec30a2929 f645486348fd4809ab2b4f9ec30a2929 Feature Service https://services2.arcgis.com/8k2PygHqghVevhzy/arcgis/rest/services/Outlier Magic/FeatureServer Outlier Magic The following report outlines the workflow used to optimize your Find Outliers result: Initial Data Assessment. <ul><li>There were 132 valid input features.</li></ul><ul><li>There were 4 outlier locations; these will not be used to compute the hexagon size.</li></ul><ul><li>The total study area was 1960042662824.7507 Meters.</li></ul>Incident Aggregation <ul><li>Using a hexagon of width 117728.6481 Meters and height 101956.0000 Meters.</li></ul><ul><li>The aggregation process resulted in 360 weighted areas.</li></ul><ul><li>Incident Count Properties:</li></ul><table style='width: 200px;margin-left: 2.5em;border: none;'><tbody><tr><td style='border: none;'>Min</td><td style='float:right;border: none;'>0.0000</td></tr><tr><td style='border: none;'>Max</td><td style='float: right;border: none;'>9.0000</td></tr><tr><td style='border: none;'>Mean</td><td style='float: right;border: none;'>0.3667</td></tr><tr><td style='border: none;'>Std. Dev.</td><td style='float: right;border: none;'>0.9393</td></tr></tbody></table>Scale of Analysis <ul><li>The optimal fixed distance band selected was based on peak clustering found at 283683.3199 Meters.</li></ul> Outlier Analysis <ul><li>Creating the random reference distribution with 499 permutations.</li></ul><ul><li>There are 123 output features statistically significant based on a FDR correction for multiple testing and spatial dependence.</li></ul><ul><li>There are 8 statistically significant high outlier features.</li></ul><ul><li>There are 23 statistically significant low outlier features.</li></ul><ul><li>There are 63 features part of statistically significant low clusters.</li></ul><ul><li>There are 29 features part of statistically significant high clusters.</li></ul> Output <ul><li>Pink output features are part of a cluster of high values.</li></ul><ul><li>Light Blue output features are part of a cluster of low values.</li></ul><ul><li>Red output features represent high outliers within a cluster of low values.</li></ul><ul><li>Blue output features represent low outliers within a cluster of high values.</li></ul> -118.93033250921029 -86.14552488214805 33.42069094481639 13.7181955090663 1 f645486348fd4809ab2b4f9ec30a2929 https://services2.arcgis.com/8k2PygHqghVevhzy/arcgis/rest/services/Outlier Magic/FeatureServer Feature Service EPSG