Creating fractals from nothing?

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SUMMARY

This discussion explores the feasibility of identifying local self-similar patterns within random arrangements of objects, specifically using the example of people in a city. The central question is whether data from a localized sampling can be extrapolated to represent a global arrangement through self-similarity methods. The consensus indicates that while self-similarity is a fundamental concept in fractals, applying it to complex systems like human movement may be overly intricate. References to research on fractal patterns in sand suggest that simpler behaviors may be more amenable to such analysis.

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Coolphreak
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For anyone here who is familiar with fractals and self similarity:

Is it possible to find local self similar patterns from a random arrangement of objects which can apply to the global arrangement of these objects?

For example, we have people walking in a city. The positions are somewhat random. Let's just pretend that everyone is still. If I "zoom in" and take a random sampling of the positions/arrangement of people w/in the local space I zoomed in on, is it possible to extrapolate this data to the more "global" space of people in the whole city using self similarity methods? Hopefully this is not too confusing
 
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I doubt it, the rules to which selfsimilarity in the scope of this example IMO would be too complex for simple selfsimilarity as seen in most fractal systems.

If i recall, from one of the physics colloq I attended way back when...they studied fractal patterns of sand which may be the type of behaviours your looking to emulate with the above example but according to those researchers sand follows simple behaviour.

Then again if your just repeatedly zooming out, then everything is just dots =]
 
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