8538233bba
These geometries are apparently invalid due to self-crossing or self-touching polygons. The geometries are created by pypsa-eur/scripts/cluster_network.py but appear to be valid before being written to file. They are only valid after being read back in from file. This seems to indicate some numerical issue relating to file reading and writing. Now the geometries are cleaned after being read in.
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
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import geopandas as gpd
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import atlite
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import pandas as pd
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import xarray as xr
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import scipy as sp
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import helper
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if 'snakemake' not in globals():
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from vresutils import Dict
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import yaml
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snakemake = Dict()
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with open('config.yaml') as f:
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snakemake.config = yaml.load(f)
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snakemake.input = Dict()
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snakemake.output = Dict()
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time = pd.date_range(freq='m', **snakemake.config['snapshots'])
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params = dict(years=slice(*time.year[[0, -1]]), months=slice(*time.month[[0, -1]]))
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cutout = atlite.Cutout(snakemake.config['atlite']['cutout_name'],
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cutout_dir=snakemake.config['atlite']['cutout_dir'],
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**params)
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clustered_busregions_as_geopd = gpd.read_file(snakemake.input.regions_onshore).set_index('name', drop=True)
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clustered_busregions = pd.Series(clustered_busregions_as_geopd.geometry, index=clustered_busregions_as_geopd.index)
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helper.clean_invalid_geometries(clustered_busregions)
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I = cutout.indicatormatrix(clustered_busregions)
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for item in ["rural","urban","total"]:
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pop_layout = xr.open_dataarray(snakemake.input['pop_layout_'+item])
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M = I.T.dot(sp.diag(I.dot(pop_layout.stack(spatial=('y', 'x')))))
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heat_demand = cutout.heat_demand(matrix=M.T,index=clustered_busregions.index)
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heat_demand.to_netcdf(snakemake.output["heat_demand_"+item])
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