Random 2D Tile-Map Generating Algorithm
Data Structures & Algorithms practice on Codemia
Step through 300 algorithm problems with animated visualisers that show the data structure changing as the code runs.
Overview
Random 2D tile-map generation is a pivotal technique used in video game development, especially for creating engaging and dynamic environments. A tile-map comprises various squared tiles representing distinct terrains, objects, or features of the game world. This method can be particularly useful for generating levels for games like roguelikes, RPGs, or any procedurally generated environments. The primary aim is to automate the creation process, ensuring each instance is unique, which enhances replayability and player engagement.
Basic Concepts
Tile Composition
- Tile: A small square piece of texture mapping that represents a part of the environment, such as grass, water, or a wall.
- Tile Set: A collection of all the tile types used in the map. It determines what variety is available for generation.
Map Grid
The map grid is essentially a matrix consisting of cells where each cell can hold one tile. The dimensions of the grid dictate the size of the map. Typically, its dimensions are defined in terms of tile width (columns) and tile height (rows).
Generation Techniques
There are several algorithms for random 2D tile-map generation. The selection of algorithm heavily impacts the aesthetic and functional quality of the generated maps. Here, we introduce a few classic approaches:
1. Random Placement
This is the simplest method and involves assigning each cell a random tile from the tile set.
Example:
- Iterate through each cell and count the number of walls surrounding it.
- Apply a rule to determine if it changes state (e.g., if surrounded by more than a set number of walls, it becomes a wall).
- Performance: Depending on the size of the map, some algorithms may require optimization.
- Aesthetics: The type of tiles and transitions should match the theme of the game.
- Replayability: Algorithms should offer genuine diversity in their outputs for each iteration.
Related reading
- Random integers in array. Find the greatest sum of a continuous subset
- Random number generator only generating one random number
- Random placement of non-overlapping intervals
- Random projection algorithm pseudo code
- Random Shuffling in Java or any language Probabilities
- Random shuffling of an array
- Random simple connected graph generation with given sparseness
- Random weighted choice

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Data Structures & Algorithms practice on Codemia
Step through 300 algorithm problems with animated visualisers that show the data structure changing as the code runs.