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MoransI_Result_Rio_Density.html
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</style><title>Spatial Autocorrelation Report</title></head><body><h1>Spatial Autocorrelation Report</h1><div id="key"><table id="keytable"><tr><th>Moran's Index: </th><td>0.145646</td><td /></tr><tr><th>z-score: </th><td>248.134806</td><td><img src="file://C:\Program Files (x86)\ArcGIS\Desktop10.2\ArcToolbox\Scripts\Images\clusteredBox01.png" /></td></tr><tr><th>p-value: </th><td>0.000000</td><td /></tr></table></div><div id="mainImg"><img alt="Spatial Autocorrelation Report" src="file://C:\Program Files (x86)\ArcGIS\Desktop10.2\ArcToolbox\Scripts\Images\clusteredValues01.png" /><p>Given the z-score of 248.13, there is a less than 1% likelihood that this clustered pattern could be the result of random chance.</p></div><table class="infotable"><caption>Global Moran's I Summary</caption><tr><th>Moran's Index: </th><td>0.145646</td></tr><tr><th>Expected Index: </th><td>-0.000051</td></tr><tr><th>Variance: </th><td>0.000000</td></tr><tr><th>z-score: </th><td>248.134806</td></tr><tr><th>p-value: </th><td>0.000000</td></tr></table><table class="infotable"><caption>Dataset Information</caption><tr><th>Input Feature Class: </th><td>Rio_RM</td></tr><tr><th>Input Field: </th><td>DENSITY</td></tr><tr><th>Conceptualization: </th><td>INVERSE_DISTANCE</td></tr><tr><th>Distance Method: </th><td>EUCLIDEAN</td></tr><tr><th>Row Standardization: </th><td>True</td></tr><tr><th>Distance Threshold: </th><td>0.0447 Degrees</td></tr><tr><th>Weights Matrix File: </th><td>None</td></tr><tr><th>Selection Set: </th><td>False</td></tr></table></body></html>