The interaction effects scatter plot simulates a second
order process, where the proximity of other events increase the likelihood of
an event occurring nearby, such as the spread of communicable diseases. The interaction effects scatter plots do not
show a preference for any particular area of the plot, but have a strong
tendency to cluster.
As the XY-diff component, which controls how far away a new
event is placed from a previous event, is increased, the clusters begin to
spread out, such as this example with the XY-diff set to 4.
As the XY-diff increases to 9, the plot
starts to look like
a random scatter plot because the points are beginning to spread over
entire range of the plot. This would indicate that weak second-
order processes may be indistinguishable from random processes.