this is esp. apparent when the exploited resource is in 2D space; the patterns of outward fractal expansion, density varying w/ resource desirability
the topology of the emergent network can be predicted from a combination of terrain, resource distribution, starting position
there are many different kinds of SFCs, but typically speaking they have a constant FD throughout, which is often inadequate for modeling real-world systems, which are variably self-similar
to this end we need a type of SFC w/ variable FD, or granularity
practicality aside, SFCs are fun toys to play with, simple algorithms to drop in anywhere you need a way to define a total ordering on an otherwise-unordered space
they're also quite pretty & a great doodling technique; I've filled many a notebook like so
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RT @pee_zombie
while originally botanical in nature, these L-systems can be repurposed for general generative purposes, as the rules are quite flexible
this one here is a simple …
https://twitter.com/pee_zombie/status/1425876243002675200
a space-filling curve (SFC) is a mathematical object defining a specific way of visiting ~every point in a space; typically fractals w/ a tunable variable called the fractal dimension (FD, or roughness/granularity) which determines the resolution w/ which the space is traversed