Box counting is a method of gathering data for analyzing complex patterns by
breaking a dataset, object, image, etc. into smaller and smaller pieces,
typically "box"-shaped, and analyzing the pieces at each smaller scale.
The essence of the process has been compared to zooming in or out using optical or
computer based methods to examine how observations of detail change with scale.
In box counting, however, rather than changing the magnification or resolution of a lens, the investigator changes the size of the element used to inspect the object or pattern.
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