GatlingGun
Warlord
If I can figure out how the bitmaps are associated with the weather values, it would be easy to write a python function to pickle the bitmaps and key them based on the x,y coordinates... but at this point I'm still trying to understand all the data structures in the script.
As for low rainfall... I agree... the issue for me is where to set DesertPercent... I don't object to deserts on the map... in fact, now I'm getting a little too much plains and I want to look at weather data so I can convert more plains to desert (without excessive trial/error cycles). Ultimately, I would like a reasonable distribution of Grassland, Plains and Desert... but I think desert tiles shouldn't be more than perhaps 15-17% of the land area. I got that number from the Oxford Handbook of Economic Geography, p 182 (ISBN:0199250839).
I realize the maps are random and there are variations due to geography... but the goal is to find values that consistently get closer to my concept of the perfect world.
As for low rainfall... I agree... the issue for me is where to set DesertPercent... I don't object to deserts on the map... in fact, now I'm getting a little too much plains and I want to look at weather data so I can convert more plains to desert (without excessive trial/error cycles). Ultimately, I would like a reasonable distribution of Grassland, Plains and Desert... but I think desert tiles shouldn't be more than perhaps 15-17% of the land area. I got that number from the Oxford Handbook of Economic Geography, p 182 (ISBN:0199250839).
I realize the maps are random and there are variations due to geography... but the goal is to find values that consistently get closer to my concept of the perfect world.