Noise functions are a way to produce continuous pseudorandom values across one or more dimensions. The simplest example is a one-dimensional noise function that makes the y-value wobble up and down smoothly, but unpredictably, as you move along the x-axis. It’s also possible to produce 2-dimensional noise, where the amplitude of the noise depends on […]
Contour lines, also known as isolines, are lines drawn along along paths of constant elevation. They are often used when drawing maps to indicate the slope of hills and mountains: But they can also be used to visualize functions that map (x,y) values to z values, or to find the boundaries of implicit surfaces. One […]
Author’s note: After writing this post, someone linked me to a better algorithm, so check that page out for a more in-depth explanation of it. This post contains an overview of the problem and some visualizations and Python implementations of some commonly used algorithms and a new one too, so feel free to keep reading. […]