I really enjoyed reading the latter last year, because it does a great job slowly building up. By the end, I felt like I didn't just understand the models, but also how the author found them. I can recognize these patterns in nature, and figure out how they were generated.
Grabbing the wheel and jerking hard left, some of the gradients when my browser rendered the gallery we very optical illusion-y. I could have sworn the lines were animated, to the point I moved my cursor to the end of a line to see it was not moving.
playing around with the parameters of your interactive sea shell model, I got these other beautiful shapes which then made me wonder how come there wasn't some random mutation in their generation in nature in the past to make them look that way, and then I realize survival is the name of the game, and these natural object could have been that shape at one point in history but didn't make it through for us to see them... though more I think, some of their fossils should have remained....
I have had the book for years but recently started properly going through it with F# inside a Polyglot Notebook. I have all the 2D diagrams drawn up until the book starts with the stochastic drawings, which I'll tackle next. F# makes it so nice to build an embedded DSL for the L-systems and then the turtle interpretation of them.
Thus, self-similarity in plants is a result of developmental processes. Growth and form By emphasizing the relationship between growth and form, this book follows a long tradition in biology. D’Arcy Thompson [143] traces its origins to the late seventeenth century, and comments: Organic form itself is found, mathematically speaking, to be a function of time.... We might call the form of an organism
an event in space-time, and not merely a configuration in
space.
Apropos, https://github.com/two-twelve/fernery a "tool for generating images of ferns and other Iterated Function Systems" was recently posted somewhere
[+] [-] kaesve|2 years ago|reply
I really enjoyed reading the latter last year, because it does a great job slowly building up. By the end, I felt like I didn't just understand the models, but also how the author found them. I can recognize these patterns in nature, and figure out how they were generated.
I spent some time last year implementing all the models described in the book in JS: https://kaesve.nl/projects/shells .
[+] [-] dylan604|2 years ago|reply
[+] [-] clueless|2 years ago|reply
[+] [-] bmitc|2 years ago|reply
I have had the book for years but recently started properly going through it with F# inside a Polyglot Notebook. I have all the 2D diagrams drawn up until the book starts with the stochastic drawings, which I'll tackle next. F# makes it so nice to build an embedded DSL for the L-systems and then the turtle interpretation of them.
I'm not sure what I'm going to do with the 3D drawings. There may be a way in the Polyglot Notebook to have F# emit WebGL or something.[+] [-] ggm|2 years ago|reply
https://en.wikipedia.org/wiki/On_Growth_and_Form (1917)
in the pdf:
Thus, self-similarity in plants is a result of developmental processes. Growth and form By emphasizing the relationship between growth and form, this book follows a long tradition in biology. D’Arcy Thompson [143] traces its origins to the late seventeenth century, and comments: Organic form itself is found, mathematically speaking, to be a function of time.... We might call the form of an organism an event in space-time, and not merely a configuration in space.
[+] [-] pyinstallwoes|2 years ago|reply
[+] [-] Jorslu|2 years ago|reply
[+] [-] unhammer|2 years ago|reply
[+] [-] evilc00kie|2 years ago|reply