Are there "continuously generated" space-filling curives (or other fractals) that allow "differentiable approximation"?

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I think all fractals I am aware of are based directly or indirectly on the iterated application of some function or substitution rule.

Typically, e.g. space-filling curves are presented as substitution of a pattern into itself (or rewriting rules) with discrete approximation iterations, and all visualization tools that seem to allow "smooth" zoom-in and refinement are apparently based on implementation and presentation tricks.

But fractal-like shapes in nature do not emerge in discrete iterations, everything evolves in a smooth and organic way. So I wondered, aren't there mathematically well-defined fractal-like processes that have this property?

That is, functions that depend on some real-valued parameter $t: 0 \to \infty$ which continuously either

  • refines the fractal curve with increasing $t$, adding increasingly more detail (e.g. homeomorphically stretch the curve into an increasingly "rough" shape)
  • act in some holistic way on "all scales" at the same time (e.g. modeled as some "force field" acting on the curve)

and yielding the full, non-differentiable fractal curve in the unreachable limit.

In any case I'm interested in suggestions where this is a natural representation, and not some artificial "piecewise" construction to get this effect.

If this is also something I could actually implement (in code), visualize and play with, that would be great!

Or, I'm also happy to learn a bit about why this is impossible, if this happens to be the case :)

Thanks in advance for any comments and suggestions!