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Row standardization option with K nearest neighbors?

Question asked by ndilekli on Feb 28, 2017
Latest reply on Feb 28, 2017 by Dan_Patterson

I am looking at the Generate Spatial Weights matrix tool. I am trying to understand how it works. When K nearest neighbors option is selected, row standardization can still be clicked. How does that change anything? If I select K nearest neighbors, enter 8 as the number of neighbors, the weight will always be 0.125 no matter row standardization is selected or not right? In that case, I don't understand why row standardization option is available. In addition, however, I see very slightly different results with such configurations using my dataset. Here they are:


K nearest neighbors option, 8 neighbors, row standardization NOT enabled, Moran's Index I: 0.243726

K nearest neighbors option, 8 neighbors, row standardization enabled, Moran's Index I: 0.243721


Why are there such differences? Thanks!