Nearest Neighbor Distance Statisitics
Nearest neighbor distance statistics
calculate the tendency of the data to cluster and measure the
likelihood that the patterns are random or not..
Calculations for this tendency to cluster
for both attemped street robbery and gun homicides showed a very strong
tendency to cluster using Elucidian or straight line distances between
events. However, both showed no real tendency toward
clustering when measured using the Manhattan distances, or the distance
assuming that the real distance would be the distance if you had to
travel two legs of a triangle as you would in a City block rather than
the straight line distance. The change in the distance is ~423
observed vs ~547 expected for Elucidian and ~529 observed vs ~547
expected for Manhattan. I would not expect the change in
clustering tendency to be that strong for the two different measures..