1.0 DCPLUS 20160919 20441800 20160919 20441800 https://www.arcgis.com/sharing/rest/content/items/be5b63283dab42fd9ad5a742b543c0ce/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=be5b63283dab42fd9ad5a742b543c0ce be5b63283dab42fd9ad5a742b543c0ce Feature Service http://services2.arcgis.com/WRtfelnPg3R7bCEW/arcgis/rest/services/Hot_Spots_PRICE___2/FeatureServer Hot Spots PRICE____2 2016-09-19T20:44:18 2016-09-19T20:44:44 Analysis Result Hot Spots Residential Proprty Prices in 2013 PRICE____ Analysis Feature Service 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 744 valid input features.</li></ul><ul><li>PRICE____ Properties:</li></ul><table style='width: 200px;margin-left: 2.5em;'><tbody><tr><td>Min</td><td style='float:right'>6667.0000</td></tr><tr><td>Max</td><td style='float: right;'>665000.0000</td></tr><tr><td>Mean</td><td style='float: right;'>91322.0887</td></tr><tr><td>Std. Dev.</td><td style='float: right;'>62317.2230</td></tr></tbody></table><br /><ul><li>There were 17 outlier locations; these were not used to compute the optimal fixed distance band.</li></ul><br /><u><b>Scale of Analysis</b></u><br /><ul><li>The optimal fixed distance band selected was based on peak clustering found at 6054.9685 Meters.</li></ul><br /><u><b>Hot Spot Analysis</b></u><br /><ul><li>289 output features are 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 PRICE____ values cluster.</li></ul><ul><li>Blue output features represent cold spots where low PRICE____ values cluster.</li></ul><br /> -8.770477820574023 -6.971118107619755 55.3633016089659 54.46509783867565 1 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 be5b63283dab42fd9ad5a742b543c0ce http://services2.arcgis.com/WRtfelnPg3R7bCEW/arcgis/rest/services/Hot_Spots_PRICE___2/FeatureServer Feature Service