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Showing posts from January, 2022

Creating localized RPG weather using a simple Markov Chain - an example of a foggy swamp (Markov Chain Weather Part 3)

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The weather can vary a lot from one location to another. For example, fog can form in a swampy valley even when the surrounding hills are clear. Similarly,  precipitation in a mountain range is more likely to fall as snow and winds will be stronger. I’ve previously posted about using a simple Markov Chain to generate mid-latitude RPG weather that has realistic time variations. This post describes an extended Markov Chain method to produce weather that also varies from location to location.