In fractal analysis of a time series, the relationship between series length and ruler length may be represented graphically
as a Richardson Plot. Fractal dimension measures can be estimated for particular ranges of ruler length, supported by the
graphical representation.
This paper discusses Richardson Plots which have been obtained for several types of time series. From these, patterns have
been identified with explanations. There is particular focus on local maxima and minima. Significant influences found present
are described asgradient and vertex effects. The task - and implications - of partitioning the range of ruler lengths in determining fractal dimension measures is briefly
addressed.