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we now move beyond pure description and start to assess some ways to in a statistical hypothesis test approach detect deviations from complete spatial randomness in favor of either clustering or regular patterns and in this particular part we will go over a number of so-called nearest neighbor statistics because they are based on the computation of the distance to the nearest neighbor so first Iamp;#39;ll outline the principle and then weamp;#39;ll cover three very commonly used functions the G function that F function and a J function so first the general idea that itamp;#39;s important one we talked about this to keep in mind against some very strange terminology the event is the actual observed location of an event so theyamp;#39;re all points but the events are points where something happens and then the term point is used for reference points so these are not necessarily points where something happens but they could be typically they are points on a grid and then we have two k