Hi, I am trying to find the hotspots of combining two types of data, crimes and crashes. My first question is how to use point data to calculate Getis-Ord Gi*. My point data is positive skewed and spread out, so I can not a good fix distance band which makes the corner points have 8 neighbors but the middle points do not includes all features. Please see the image for its kernel density map. For this kind of data, is it better that I aggregate it as grid data for hot spot analysis or any other methods? The second question is about the different results by using kernel density and Gi*. Is kernel density used to focus on the area with high crash/crime risk, and Gi* is used to identify the data cluster pattern? So, if there is an area with extremely high value, but its neighbors are all low value, will Gi* identify it as a hot spot? The third question is about using unbiased kernel density in Network. Does ArcGIS 10 or other software programs provide this function? Thank you very much. 🙂 pei-fen
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