Spatial Dispersion

This measures spatial autocorrelation or how similar point values are when they are close to each other rather than far away. Values are based on a scale with 0 being completely spatially correlated. 1 means that points around each point would have the same deviation as choosing random points from the dataset. Anything greater than 1 means that the dataset is negatively spatially correlated, which means that random points from the dataset would have a smaller deviation than picking points which are close to each other.