You can generate worlds data (heighmap, biome, etc.) and images for your own worlds.
For example:
python lands/generator.py world -s 1 -n seed1Worlds are generated using plate simulations, erosion, rain shadows, Holdridge life zones model and plenty of other phenomenons.
Once a world it can be used for simulation civs evolution (see project civs).
For a generated world is also possible to generate additional maps, for example ancient looking map:
python lands/generator.py ancient_map -w seed1.world
Windows
If you want to run Lands on Windows you can read these instructions.
Linux
- Install python 2.7
- Install pip
- Git clone / download the repository
- Run pip install -r requirements.txt
- You should be good to go!
The program produces a binary format with all the data of the generated world and a set of images. For examples seed 1 produces.
| Short | Long | Description |
|---|---|---|
| -o | --output | generate files in OUTPUT |
| -n | --worldname | set WORLDNAME |
| -s | --seed | use SEED to initialize the pseudo-random generation |
| -t | --step | use STEP to specify how far to proceed in the world generation process |
| -x | --width | WIDTH of the world to be generated |
| -y | --height | HEIGHT of the world to be generated |
| -w | --worldfile | WORLD_FILE to be loaded (for ancient_map operation) |
| -g | --generatedfile | name of the GENERATED_FILE (for ancient_map operation) |
| -f | --resize-factor | resize factor |
| -p | --plates-resolution | plates resolution |
| -q | --number-of-plates | number of plates |
| --gs | --grayscale-heightmap | produce a grayscale heightmap, after the option it expects the name of the file where to generate the heightmap (e.g., --gs bw.png) |
| -r | --rivers | produce a map of reivers, after the option it expects the name of the file where to generate the map (e.g., -r rivers.png) |
For example these commands:
python lands/generator.py world -s 4 -n an_example -p 2048 -q 25 -x 2048 -y 2048Produce this output
Lands - world generator
-----------------------
seed : 4
name : seed3
width : 2048
height : 2048
plates resolution : 2048
number of plates : 25
operation : world generation
step : full
starting (it could take a few minutes) ...
...plates simulated
...elevation noise added
...elevation level calculated
...precipations calculated
...erosion calculated
...humidity calculated
...permeability level calculated
Biome obtained:
subtropical thorn woodland = 16353
tropical desert = 188
boreal rain forest = 69472
tropical thorn woodland = 19680
subpolar dry tundra = 6316
warm temperate wet forest = 17799
subpolar wet tundra = 24453
subpolar moist tundra = 15104
tropical wet forest = 18441
subpolar rain tundra = 79723
tropical rain forest = 5906
ice = 85254
tropical moist forest = 28871
subtropical rain forest = 14733
boreal moist forest = 24395
boreal wet forest = 35212
subtropical dry forest = 26259
subtropical desert scrub = 3256
subtropical moist forest = 25220
cool temperate desert scrub = 11162
cool temperate steppe = 25604
boreal dry scrub = 13403
tropical dry forest = 22415
tropical very dry forest = 27033
tropical desert scrub = 2473
warm temperate moist forest = 27704
warm temperate desert scrub = 4861
warm temperate rain forest = 10774
cool temperate moist forest = 42770
cool temperate wet forest = 52813
warm temperate dry forest = 29992
ocean = 3314282
cool temperate desert = 2950
subtropical desert = 287
warm temperate desert = 709
cool temperate rain forest = 46844
subtropical wet forest = 18280
boreal desert = 5445
warm temperate thorn scrub = 16175
polar desert = 1693
Producing ouput:
* world data saved in './an_example.world'
* ocean image generated in './an_example_ocean.png'
* precipitation image generated in './an_example_precipitation.png'
* temperature image generated in './an_example_temperature.png'
* biome image generated in './an_example_biome.png'
* elevation image generated in './an_example_elevation.png'
...done
This is the corresponding ancient map
python lands/generator.py ancient_map -w an_example.world
The world generation algorithm goes through different phases:
- plates simulation: it is the best way to get proper mountain chains. For this pyplatec is used
- noise techniques are used at different steps
- precipitations are calculated considering latitude and rain shadow effects
- erosion is calculated
- humidity in each zone is calculated
- terrain permeability is calculated
- biome is calculated using the Holdridge life zones model
Using virtualenv you can install the dependencies in this way
virtualenv venv
source venv/bin/activate
pip install -r requirements.txtLibjpeg is required by PIL
Evan Sampson contributed the amazing implementation of the Holdridge life zones model and improved a lot the ancient-looking-map, biome, precipitation and temperature generators. Thanks a million!