Re:Fractional Brownian Motion for Terrain Generation
by arketyp on Monday October 07, 2019 @07:53AM
(#21179709)
There is a visual resemblence between zoom levels because of the statistical self-similarity across zoom levels. I suppose the word resemblence was chosen by the author as a less strict variation of the concept. But even the self-similarity of for instance the convergence border of the Mandelbrot set isn't completely self-same either.
Re:Fractional Brownian Motion for Terrain Generation
by benogorek on Monday October 07, 2019 @11:10AM
(#21181760)
Yeah if you were to discretize it, then you'd get random walks with the only difference being the variance of movement from the last point. Wish I could find this one source that talked about continuous time noise processes - it was pretty interesting. If you assign a random variable to every point t on a continuum, it's not a real process (in terms of the definitions set forth in Measure Theory), so you have to use other methods to define them, like limits of discrete processes.
Re:Fractional Brownian Motion for Terrain Generation
by swiley on Monday October 07, 2019 @08:33AM
(#21180001)
You should read Mandelbrot’s book “the fractal geometry of nature.” He talks quite a bit about ideas like this. It’s written with the intention that non mathematicians can read and understand the ideas too which is kind of neat.
This goes a bit against my intuition of self-similar, but I guess I should interpret "resembles" as *statistically resembles" here as well? Does it mean something like the distribution being the same at all zoom levels?