101 lines
2.2 KiB
Python
Executable File
101 lines
2.2 KiB
Python
Executable File
#!/usr/bin/env python3
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import numpy as np
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import noise
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from save import save
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from erosion import EvolutionModel
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import bounds
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import os
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import sys
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# Always place in this script's parent directory
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os.chdir(os.path.dirname(sys.argv[0]))
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argc = len(sys.argv)
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if argc > 1:
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mapsize = int(sys.argv[1])
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else:
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mapsize = 400
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scale = mapsize / 2
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n = np.zeros((mapsize+1, mapsize+1))
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# Set noise parameters
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params = {
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"octaves" : int(np.ceil(np.log2(mapsize)))+1,
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"persistence" : 0.5,
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"lacunarity" : 2.,
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}
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# Determine noise offset randomly
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xbase = np.random.randint(65536)
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ybase = np.random.randint(65536)
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# Generate the noise
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for x in range(mapsize+1):
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for y in range(mapsize+1):
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n[x,y] = noise.snoise2(x/scale + xbase, y/scale + ybase, **params)
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nn = n*mapsize/5 + mapsize/20
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# Initialize landscape evolution model
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print('Initializing model')
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model = EvolutionModel(nn, K=1, m=0.35, d=1, sea_level=0)
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# Run the model's processes: the order in which the processes are run is arbitrary and could be changed.
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print('Flow calculation 1')
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model.calculate_flow()
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print('Advection 1')
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model.advection(2)
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print('Isostatic equilibration 1')
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model.adjust_isostasy()
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print('Flow calculation 2')
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model.calculate_flow()
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print('Diffusion')
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model.diffusion(4)
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print('Advection 2')
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model.advection(2)
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print('Isostatic equilibration 2')
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model.adjust_isostasy()
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print('Flow calculation 3')
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model.calculate_flow()
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print('Done')
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# Twist the grid
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bx, by = bounds.make_bounds(model.dirs, model.rivers)
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offset_x, offset_y = bounds.twist(bx, by, bounds.get_fixed(model.dirs))
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# Convert offset in 8-bits
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offset_x = np.clip(np.floor(offset_x * 256), -128, 127)
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offset_y = np.clip(np.floor(offset_y * 256), -128, 127)
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if not os.path.isdir('data'):
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os.mkdir('data')
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os.chdir('data')
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# Save the files
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save(model.dem, 'dem', dtype='>i2')
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save(model.lakes, 'lakes', dtype='>i2')
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save(offset_x, 'offset_x', dtype='i1')
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save(offset_y, 'offset_y', dtype='i1')
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save(model.dirs, 'dirs', dtype='u1')
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save(model.rivers, 'rivers', dtype='>u4')
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with open('size', 'w') as sfile:
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sfile.write('{:d}\n{:d}'.format(mapsize+1, mapsize+1))
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# Display the map if matplotlib is found
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try:
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from view_map import view_map
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view_map(model.dem, model.lakes, model.rivers)
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except:
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pass
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