mtcontrib/mapgen_rivers
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Implement simple tectonics.

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Uplift and subsidence are determined with a noise, at every iteration.
There is no distinctive pattern like tectonic plates, just vertical movements
disturbing rivers from their equilibrium state, and thus creating more diversity.
More lakes and waterfalls especially.
This commit is contained in:
Gael-de-Sailly 2020-12-24 11:52:08 +01:00
parent 32f3cd9925
commit 3ccb6932ad
2 changed files with 13 additions and 3 deletions
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10
generate.py
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@ -111,6 +111,7 @@ sea_level = float(get_setting('sea_level', 0.0))
sea_level_variations = float(get_setting('sea_level_variations', 0.0))
sea_level_variations_time = float(get_setting('sea_level_variations_time', 1.0))
flex_radius = float(get_setting('flex_radius', 20.0))
tectonics_time = float(get_setting('tectonics_time', 0.0))
flow_method = get_setting('flow_method', 'semirandom')
time = float(get_setting('time', 10.0))
@ -160,7 +161,11 @@ if sea_level_variations != 0.0:
sea_level_ref = snoise2(time * (1-1/niter) / sea_level_variations, sea_ybase, **params_sealevel) * sea_level_variations
params['offset'] -= (sea_level_ref + sea_level)
n = noisemap(mapsize+1, mapsize+1, **params).get2d()
if tectonics_time == 0.0:
n = noisemap(mapsize+1, mapsize+1, **params).get2d()
else:
terrain_noisemap = noisemap(mapsize+1, mapsize+1, tscale=tectonics_time, **params)
n = terrain_noisemap.get3d()
m_map = noisemap(mapsize+1, mapsize+1, **params_m).get2d()
K_map = noisemap(mapsize+1, mapsize+1, **params_K).get2d()
@ -187,6 +192,9 @@ for i in range(niter):
terrainlib.update(model.dem, model.lakes, sea_level=model.sea_level, title=disp_niter)
print('Advection')
model.advection(dt)
if tectonics_time != 0.0:
print('Isostasy reference redefinition')
model.define_isostasy(terrain_noisemap.get3d((i+1)*dt))
print('Isostatic equilibration')
model.adjust_isostasy()

6
terrainlib/erosion.py
View File

@ -86,8 +86,10 @@ class EvolutionModel:
self.dem = diffusion(self.dem, time, d=self.d)
self.flow_uptodate = False
def define_isostasy(self):
self.ref_isostasy = im.gaussian_filter(self.dem, self.flex_radius, mode='reflect') # Define a blurred version of the DEM that will be considered as the reference isostatic elevation.
def define_isostasy(self, dem=None):
if dem is None:
dem = self.dem
self.ref_isostasy = im.gaussian_filter(dem, self.flex_radius, mode='reflect') # Define a blurred version of the DEM that will be considered as the reference isostatic elevation.
def adjust_isostasy(self, rate=1):
isostasy = im.gaussian_filter(self.dem, self.flex_radius, mode='reflect') # Calculate blurred DEM