1.0 DCPLUS 20191002 13225200 20191002 13225200 https://www.arcgis.com/sharing/rest/content/items/22e28cc6c39f411489c525107f48b63d/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=22e28cc6c39f411489c525107f48b63d 22e28cc6c39f411489c525107f48b63d Feature Service https://services.arcgis.com/sFnw0xNflSi8J0uh/arcgis/rest/services/Hot_Spots_Program_Data/FeatureServer Hot_Spots_Program_Data 2019-10-02T13:22:52 2019-10-02T13:25:12 Analysis Result Hot Spots Program Data Feature layer generated from Find Hot Spots <b>The following report outlines the workflow used to optimize your Find Hot Spots result:</b><br /><u><b>Initial Data Assessment.</b></u><br /><ul><li>There were 1230 valid input features.</li></ul><ul><li>There were 21 outlier locations; these were not used to compute the hexagon size.</li></ul><br /><u><b>Incident Aggregation</b></u><br /><ul><li>Using a hexagon of width 198.6085 Meters and height 172.0000 Meters</li></ul><ul><li>The aggregation process resulted in 798 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;'>1.0000</td></tr><tr><td style='border: none;'>Max</td><td style='float: right;border: none;'>6.0000</td></tr><tr><td style='border: none;'>Mean</td><td style='float: right;border: none;'>1.5414</td></tr><tr><td style='border: none;'>Std. Dev.</td><td style='float: right;border: none;'>0.9026</td></tr></tbody></table><br /><u><b>Scale of Analysis</b></u><br /><ul><li>The optimal fixed distance band was based on the average distance to 30 nearest neighbors: 835.0000 Meters.</li></ul><br /><u><b>Hot Spot Analysis</b></u><br /><ul><li>There are 113 output features statistically significant based on a FDR correction for multiple testing and spatial dependence.</li></ul><br /><u><b>Output</b></u><br /><ul><li>Red output features represent hot spots where high incident counts cluster.</li></ul><ul><li>Blue output features represent cold spots where low incident counts cluster.</li></ul><br /> -71.1696672985385 -71.02470670102764 42.338434479199066 42.23977367721102 1 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22e28cc6c39f411489c525107f48b63d https://services.arcgis.com/sFnw0xNflSi8J0uh/arcgis/rest/services/Hot_Spots_Program_Data/FeatureServer Feature Service EPSG