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build_renewable_profiles: Extend calculate_potential to optionally save the exclusion map

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This commit is contained in:
Jonas Hoersch 2019-02-15 11:11:41 +01:00
parent c858ed0b0d
commit f49682c61d
1 changed files with 8 additions and 1 deletions
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9
scripts/build_renewable_profiles.py
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@ -1,5 +1,7 @@
#!/usr/bin/env python #!/usr/bin/env python
import matplotlib.pyplot as plt
import os import os
import atlite import atlite
import numpy as np import numpy as np
@ -50,7 +52,7 @@ def downsample_to_coarse_grid(bounds, dx, dy, mask, data):
assert gdal.Warp(average, padded, resampleAlg='average') == 1, "gdal warp failed: %s" % gdal.GetLastErrorMsg() assert gdal.Warp(average, padded, resampleAlg='average') == 1, "gdal warp failed: %s" % gdal.GetLastErrorMsg()
return average return average
def calculate_potential(gid): def calculate_potential(gid, save_map=None):
feature = gk.vector.extractFeature(paths["regions"], where=gid) feature = gk.vector.extractFeature(paths["regions"], where=gid)
ec = gl.ExclusionCalculator(feature.geom) ec = gl.ExclusionCalculator(feature.geom)
@ -73,6 +75,11 @@ def calculate_potential(gid):
if 'min_shore_distance' in config: if 'min_shore_distance' in config:
ec.excludeVectorType(paths["country_shapes"], buffer=config['min_shore_distance']) ec.excludeVectorType(paths["country_shapes"], buffer=config['min_shore_distance'])
if save_map is not None:
ec.draw()
plt.savefig(save_map, transparent=True)
plt.close()
availability = downsample_to_coarse_grid(bounds, dx, dy, ec.region, np.where(ec.region.mask, ec._availability, 0)) availability = downsample_to_coarse_grid(bounds, dx, dy, ec.region, np.where(ec.region.mask, ec._availability, 0))
return csr_matrix(gk.raster.extractMatrix(availability).flatten() / 100.) return csr_matrix(gk.raster.extractMatrix(availability).flatten() / 100.)