38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""Build clustered population layouts."""
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import geopandas as gpd
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import xarray as xr
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import pandas as pd
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import atlite
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cutout_path = snakemake.config['atlite']['cutout_dir'] + "/" + snakemake.config['atlite']['cutout_name']+ ".nc"
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if __name__ == '__main__':
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if 'snakemake' not in globals():
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from helper import mock_snakemake
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snakemake = mock_snakemake(
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'build_clustered_population_layouts',
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simpl='',
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clusters=48,
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)
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cutout = atlite.Cutout(snakemake.config['atlite']['cutout'])
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clustered_regions = gpd.read_file(
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snakemake.input.regions_onshore).set_index('name').buffer(0).squeeze()
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I = cutout.indicatormatrix(clustered_regions)
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pop = {}
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for item in ["total", "urban", "rural"]:
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pop_layout = xr.open_dataarray(snakemake.input[f'pop_layout_{item}'])
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pop[item] = I.dot(pop_layout.stack(spatial=('y', 'x')))
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pop = pd.DataFrame(pop, index=clustered_regions.index)
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pop["ct"] = pop.index.str[:2]
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country_population = pop.total.groupby(pop.ct).sum()
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pop["fraction"] = pop.total / pop.ct.map(country_population)
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pop.to_csv(snakemake.output.clustered_pop_layout)
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