def plots(data, curr_yr, fuel_disagg, config):
"""
"""
# Spatial validation
if (config['CRITERIA']['validation_criteria']
== True) and (curr_yr == data['assumptions'].base_yr) and (
config['CRITERIA']['cluster_calc'] != True):
lad_validation.spatial_validation_lad_level(fuel_disagg,
data['result_paths'],
data['paths'],
data['regions'],
data['reg_coord'],
plot_crit=False)
# Plot map with weather station
if config['CRITERIA']['cluster_calc'] != True:
data_loader.create_weather_station_map(
data['weather_stations'],
os.path.join(
data['result_path'], 'weatherst_distr_weathyr_{}.pdf'.format(
config['CONFIG']['weather_yr_scenario'])),
path_shapefile=config['DATA_PATHS']['lad_shapefile'])
for region in data['regions']:
regional_vars[region]['annual_tech_diff_params'] = annual_tech_diff_params[region]
data['assumptions'].update('regional_vars', regional_vars)
data['assumptions'].update('non_regional_vars', non_regional_vars)
# ------------------------------------------------
# Spatial Validation
# ------------------------------------------------
print("AA " + str(data['result_paths']['data_results_validation']))
if config['CRITERIA']['validation_criteria'] == True and config['CRITERIA']['cluster_calc'] != True:
lad_validation.spatial_validation_lad_level(
data['fuel_disagg'],
data['result_paths']['data_results_validation'],
data['paths'],
data['regions'],
data['reg_coord'],
config['CRITERIA']['plot_crit'])
# -----------------------------------
# Only selection of regions to simulate
# -------------------------------------
if config['CRITERIA']['reg_selection']:
region_selection = read_data.get_region_selection(
os.path.join(
data['local_paths']['local_path_datafolder'],
"region_definitions",
config['CRITERIA']['reg_selection_csv_name']))
#region_selection = ['E02003237', 'E02003238']