Generating Cliffs for 2d Game

Generating Cliffs for 2d Game

Source code available on github here.

A recurring problem in 2d games is how to represent depth. In isometric games this is easily solved but in discretely top-down games it's harder to solve. After doing a lot of research I fell onto a simple idea: do the best you can insinuating the depth and leave the rest to the imagination. Here's the algorithm I used to create 2d top-down cliffs:

  • Create a small map of perlin noise and a wide map of perlin noise. Add the two together and give the large map a weight of 3 with the small

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Generating 2d Rivers

Generating 2d Rivers

Rivers are really hard to generate for 2d top-down games for multiple reasons:

  • Rivers primarily form based on heightmaps which are hard to display in top-down
  • Displaying fluidity when working with sectors or grid-based rendering can be complicated, bresenham's line algorithm only goes so far to make things look smooth
  • naturally occurring mechanisms of nature have numerous factors in play that caused them to exist. Simulating all of these factors isn't reasonable.

I was able to make relatively decent 2d rivers using a few techniques.

  1. Started by having terminal points where rivers can start/stop. Primary start positions might be

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Pigeon Hole Stepping v2

Pigeon Hole Stepping v2

I had originally written an article on how to implement PHS here. Having found the maps generated slightly redundant I decided to take another look. Here are the steps taken to successfully generate a more realistic "town." It's essentially a drunken walker like Diffusion Limited Aggregation mixed with a hallway constraint that mimics the large part of PHS.

  1. Start somewhere in the middle, add this and all possible directions up to a certain dynamic length (I used a standard deviation of 1.4 with a mean of 5, ) as nodes: [{x,y,direction},...].
  2. We will be looping until all nodes

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Generating Ancient Ruins

Generating Ancient Ruins

While creating algorithms for random continent generation, I came across an old algorithm I had worked with called Coupled Map Lattice. Using that to create a continent was hard but I was able to accomplish it doing layers of filters:

  • generate map with noise between -1 and 1
  • apply CML using Spatiotemporal Intermittency settings
    • (a = 1.75, ε = 0.6)
    • I found that using something too chaotic didn't have a noticeable affect compared to just generating noise in general.
  • normalize values to between 0 and 255
  • apply a gaussian blur
  • normalize values to between 0 and 1
  • apply slight height

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Pigeon Hole Stepping

Pigeon Hole Stepping

For 7DRL this year I developed a new map generation algorithm called Pigeon Hole Stepping.

Fill the map with walls

This map generation algorithm relies on negative building techniques. This concept will make more sense as the later steps are explained.

Dig Hallways

Essentially, we can assume that hallways that are parallel to each other are at least the length of a single room and up to two rooms apart in distance. Because of this assumption, we can make a random walker that will move around with this restriction in mind until map is filled completely.

Allocate Rooms

Assuming the

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