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The nearest neighbor index (NNI) is a crucial statistical tool used in spatial analysis to assess the degree of spatial clustering or dispersion of points within a given area. It compares the observed average distance between points to the expected average distance if the points were randomly distributed. An NNI value less than 1 indicates clustering, while a value greater than 1 suggests dispersion. This index is widely applied in fields such as ecology, urban planning, and geography to understand spatial patterns and inform decision-making.

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