1.0 DCPLUS 20170223 06460700 20190121 06460700 https://www.arcgis.com/sharing/rest/content/items/4f35ede3665f4537a0a68b98932e099c/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=4f35ede3665f4537a0a68b98932e099c 4f35ede3665f4537a0a68b98932e099c Feature Service http://services1.arcgis.com/oC086ufSSQ6Avnw2/arcgis/rest/services/a1/FeatureServer a1 2017-02-23T06:46:07 2019-01-21T03:19:22 分析结果，查找异常值，WorldCities， 通过查找异常值生成的要素图层 <b>以下报表概述了用于优化“查找异常值”结果的工作流：</b><br /><u><b>初始数据评估。</b></u><br /><ul><li>存在 118 个有效输入要素。</li></ul><ul><li>存在 2 个位置异常值；这些值并未用于计算 the polygon cell size。</li></ul><br /><ul><li>面像元大小为 430616.0000 Meters。</li></ul><ul><li>聚合过程中生成的 73 个加权区域。</li></ul><ul><li>Incident Count 属性:</li></ul><table style='width: 200px;margin-left: 2.5em;border: none;'><tbody><tr><td style='border: none;'>最小值</td><td style='float:right;border: none;'>1.0000</td></tr><tr><td style='border: none;'>最大值</td><td style='float: right;border: none;'>9.0000</td></tr><tr><td style='border: none;'>平均值</td><td style='float: right;border: none;'>1.6164</td></tr><tr><td style='border: none;'>标准差</td><td style='float: right;border: none;'>1.2122</td></tr></tbody></table><br /><u><b>分析比例</b></u><br /><ul><li>所选的最佳固定距离范围基于 1179539.8375 Meters 处所找到的峰值聚类。</li></ul><br /><ul><li>正在创建具有 499 个排列的随机参考分布。</li></ul><br /><ul><li>There are 0 output features statistically significant based on an FDR correction for multiple testing and spatial dependence.</li></ul><br /><ul><li>存在 0 个统计显著性高异常值要素。</li></ul><ul><li>存在 0 个统计显著性低异常值要素。</li></ul><ul><li>0 个要素是统计显著性低聚类的一部分。</li></ul><ul><li>0 个要素是统计显著性高聚类值的一部分。</li></ul><br /><u><b>输出</b></u><br /><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><br /> -132.1926965308144 -20.012305557856628 65.68747211123848 28.514524413404843 1 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