1.0 DCPLUS 20160424 20143000 20190429 20143000 https://www.arcgis.com/sharing/rest/content/items/65156ad809e04337976dd4f0d4b6fd36/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=65156ad809e04337976dd4f0d4b6fd36 65156ad809e04337976dd4f0d4b6fd36 Feature Service http://services5.arcgis.com/RbjlVNAtGGPx1hPV/arcgis/rest/services/concentration/FeatureServer concentration 2016-04-24T20:14:30 2019-04-29T16:16:32 Analysis Result Hot Spots Zinc PPM ZN_PPM Sam Sleight ESSM 2016 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 80 valid input features.</li></ul><ul><li>ZN_PPM Properties:</li></ul><table style='width: 200px;margin-left: 2.5em;'><tbody><tr><td>Min</td><td style='float:right'>18.0000</td></tr><tr><td>Max</td><td style='float: right;'>209.0000</td></tr><tr><td>Mean</td><td style='float: right;'>69.7125</td></tr><tr><td>Std. Dev.</td><td style='float: right;'>42.7569</td></tr></tbody></table><br /><ul><li>There were no locational outliers.</li></ul><u><b>Scale of Analysis</b></u><br /><ul><li>The optimal fixed distance band selected was based on peak clustering found at 10837.6934 Meters.</li></ul><br /><u><b>Hot Spot Analysis</b></u><br /><ul><li>13 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 ZN_PPM values cluster.</li></ul><ul><li>Blue output features represent cold spots where low ZN_PPM values cluster.</li></ul><br /> -32.28775661982685 -26.08530733122775 82.5322797861652 82.27229424272976 1 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65156ad809e04337976dd4f0d4b6fd36 http://services5.arcgis.com/RbjlVNAtGGPx1hPV/arcgis/rest/services/concentration/FeatureServer Feature Service