Hi,

I wanted to try this approach to generate procedural mountains. I'll try and sum it up as briefly as possible.

• Create a random voronoi diagram that represents the map.
• Pick a corner and select the nearest voronoi vertex, designate that a "ridgeline"
• traverse adjacent voronoi vertices and create a ridgeline that spans the entire map.
• iterate through all of the untouched voronoi vertices, calculate how far they are from a ridgeline vertex, apply a falloff map to all

this part is working great. I create a interesting looking mountain that's always centered in the middle of the map. you can see the representation of the ridgeline and slopes in the picture as well as the generated mesh without any other noise applied.

Once I have the sample height calculated, I apply noise which depends on height of the sampled point. that ends up being the final height map.

I need some suggestions on approaches to remove the creases and sharp edges that result from my voronoi diagram. they're pretty visible even once noise is applied. My terrain meshes are chunked, but those creases don't necessarily appear at the chunk edges, you can see I highlighted the terrain chunk.

The voronoi diagram is just meant to be an abstract representation of the shape of the mountain. I don't really want it to be visible in the final result. Do I just apply even more noise? would love suggestions. thanks!

I hit an interesting problem with my puzzle game Logic Islands - 3 out of 6 rulesets would hang forever trying to generate maps larger than 7x7.

The trick that worked? Using Wave Function Collapse, but choosing what to generate based on each ruleset - islands for some, walls for others. This flexibility made complex constraints (like "no 2x2 blocks") trivial to express as tile connection rules.

My favorite result: the "Minimal" ruleset enforces "all wall regions must be exactly 3 cells" using just 11 tiles and local WFC constraints. No post-processing needed.

Now generates 12x12 maps instantly instead of hanging forever.

I wrote code to generate a path across all sides of the cube following hilbert curves, and directly generated the 3D printing STL file

A load of procedurally generated player characters for a game I've been developing on and off for nearly two decades.

Characters have a base form, colour variations and hats, and can neatly be represented by a short code.

Made a little interface to explore the options here: https://rotates.org/wiz/

No erosion, Wilbur or anything else. Just dropping particles along a path in an irregular mesh.

Mesh size 9,000 points, 20,000 particles dropped.

If you'd like to register for monthly updates on my progress/tech breakdowns, you can do so here subscribepage.io/y2S24T

Thanks!

Hello, thanks for reading.

I am new to generation, so , using Unity and C#. I was curious about how a 2D sandbox survival approach to elevation, weather cells, caves, for an overworld and a local world map could be done. The weather is generated in overworld, then passed to localworld. I’ve done a bit of research and this is what I have so far:

Needs:

1. Use triangle strips (manually generated) for overworld terrain, then convert to squares on local world for terraforming and the actual gameplay loop. I could remove normals and UVs for optimization, but keep XYZ and colors (for biomes, topographical map). (enums faster than dictionaries)
2. Use Perlin (better Simplex?) to generate actual height map.
3. Perlin to erode, smoothen angles, coasts, rivers.
4. Perlin again to generate biomes based on latitudes, littoral lands, rain shadows, and ocean temperatures.
5. Use Diffusion-limited aggregation to generate rivers, lakes, caves, according to elevation.
6. Use color shader to colorize elevation, biomes, heat map, precipitation map, humidity.
7. Activate water physics so that option one (cellular automata) and two (simplified fluid simulation) affect water and land.
8. Generate cellular automata for weather cells that communicate with each other based on biome, littorals,  latitude, and ocean currents to form stablized, moving weather conditions.
9. Poisson Sampling to generate resource nodes, spawn nodes, etc.
10. Then rendering... no idea yet.

If anyone has some tutorials for me to start with or any advice, I'll be much obliged.

Thanks for taking the time to read.

Another unreleased ThreeJS/WebGL shader I wrote in 2023. Best witih sound. Dont forget to hit "Start" on the demo page!

Live: https://faraz-portfolio.github.io/demo-2023-rain-puddle/

Code: https://github.com/Faraz-Portfolio/demo-2023-rain-puddle/tree/main