K nearest neighbors or other conceptualization for Hot Spot Analyisis

Discussion created by franky6248 on Apr 21, 2011
Latest reply on Dec 11, 2012 by rwilliams_USDAERS
Hi there,

I have a dataset which are skewed (not normally distributed).  And I have used SPSS to prove that by applying the normality test. Under this situation, do I use the K nearest neighbors with 8 neighbors as suggested by the documentation for the Hot Spot Analysis or other conceptualization like fixed distance band with neighbor parameter.  I have found out the results from these two conceptualizations are quite different (maybe due to the skewed nature of the data).  So I would like to know which conceptualization I should choose based on your experience.