Local v = h<4 and y or x - and compute the dot product with (x,y).

Local u = h<4 and x or y - into 8 simple gradient directions,

Local h = hash%8 - Convert low 3 bits of hash code This more showing how it works, it is not in the client settings, so it does work offline. Local Ratio = (1 + math.noise(X,0,Seed)/2)Ĭode to simulate math.noise (by CloneTrooper1019): Basically, you can use the min and max, get a ratio from the noise function, and return the lerp behind them. Perlin Noise is used for random numbers, also known as psuedorandom. Here are the differences when multiplying the Y. The adding one to the number turns it’s range from -1 to 1 into 0 to 2, and dividing it by 2 will make its range 0 to 1, which can be used to lerp the two numbers. Now, if you have a set minimum and max, and want to choose a position in that range, you can do this: local Y = (1 + math.noise(X,Y,Seed)/2) You pretty much just need to do the same as fog screens for terrain, in terms of have an X and Z, use math.noise(X/Scale,Y/Scale,Seed), then set your part’s position or terrain cell to X,Y * SomeScale (Unless you want the terrain to have a 2 unit difference as you go across, instead of mountains and valleys), Z. You could use sine waves, but they are not random. Terrain generation is probably the most known topic for perlin noise, because it is so random. It is good to play around, because the number could be 1, 200, 12, etc. The number you divide it by is relevant to what you want. To fix this, you can take a number in between the spikes and such by dividing the number.

The issue is you are basically taking the numbers from each min and max on the graph. The math on this page is mostly sine waves. I only cover simple topics (frequency, amplitude, colors of noise, uses of noise) and not related topics (discrete vs continuous functions, FIR/IIR filters, FFT, complex numbers). Now, let us say you tried to do this for your first test, but got this: I don’t think any of this is new but some of it is new to me, so I wanted to write it down and share. The issue is you need to use a massive amount of frames. Example: local ColorNum = (1 + math.noise(1,1,0.148))/2įrame.BackgroundColor3 = Color3.new(ColorNum,ColorNum,ColorNum) They are blurry images that are generated with a given X and Z value, and use math.noise() to figure out the color. The first thing one may want to ask is, what is a fog screen? This is one: If the same seed is used, for each time the same X and Z are used, you will get the same number returned for your Y. As shown, the Seed will allow for different graphs to form each time.

Use waves x noise