ig.ReadFlareConflictInputCSV( flee.SimulationSettings.FlareConflictInputFile) ig.ReadLocationsFromCSV("%s/locations.csv" % input_csv_directory) ig.ReadLinksFromCSV("%s/routes.csv" % input_csv_directory) ig.ReadClosuresFromCSV("%s/closures.csv" % input_csv_directory) e, lm = ig.StoreInputGeographyInEcosystem(e) d = handle_refugee_data.RefugeeTable( csvformat="generic", data_directory=validation_data_directory, start_date=start_date, data_layout="data_layout.csv", population_scaledown_factor=flee.SimulationSettings. PopulationScaledownFactor) d.ReadL1Corrections("%s/registration_corrections.csv" % input_csv_directory) output_header_string = "Day," camp_locations = e.get_camp_names() for l in camp_locations: if insert_day0_refugees_in_camps: AddInitialRefugees(e, d, lm[l]) output_header_string += "%s sim,%s data,%s error," % (
e = flee.Ecosystem() ig = InputGeography.InputGeography() ig.ReadFlareConflictInputCSV(flee.SimulationSettings.FlareConflictInputFile) ig.ReadLocationsFromCSV("%s/locations.csv" % input_csv_directory) ig.ReadLinksFromCSV("%s/routes.csv" % input_csv_directory) ig.ReadClosuresFromCSV("%s/closures.csv" % input_csv_directory) e,lm = ig.StoreInputGeographyInEcosystem(e) d = handle_refugee_data.RefugeeTable(csvformat="generic", data_directory=validation_data_directory, start_date=start_date, data_layout="data_layout.csv") d.ReadL1Corrections("%s/registration_corrections.csv" % input_csv_directory) output_header_string = "Day," camp_locations = e.get_camp_names() for l in camp_locations: if insert_day0_refugees_in_camps: AddInitialRefugees(e,d,lm[l]) output_header_string += "%s sim,%s data,%s error," % (lm[l].name, lm[l].name, lm[l].name) output_header_string += "Total error,refugees in camps (UNHCR),total refugees (simulation),raw UNHCR refugee count,refugees in camps (simulation),refugee_debt" print(output_header_string)
e.linkUp("Gisuru", "Nduta", "60.0") e.linkUp("Commune of Mabanda", "Kagunga", "36.0") e.linkUp( "Commune of Mabanda", "Nyarugusu", "71.0" ) #Estimated distance, as exact location of Nyarugusu is uncertain. e.linkUp("Kagunga", "Nyarugusu", "91.0", forced_redirection=True ) #From Kagunga to Kigoma by ship (Kagunga=Kigoma) e.linkUp("Kirundo", "Nakivale", "318.0") e.linkUp("Kayanza", "Nakivale", "413.0") e.linkUp("Nduta", "Nyarugusu", "150.0", forced_redirection=True) #distance needs to be checked. d = handle_refugee_data.RefugeeTable(csvformat="generic", data_directory="source_data", start_date="2015-05-01") # Correcting for overestimations due to inaccurate level 1 registrations in five of the camps. # These errors led to a perceived large drop in refugee population in all of these camps. # We correct by linearly scaling the values down to make the last level 1 registration match the first level 2 registration value. # To our knowledge, all level 2 registration procedures were put in place by the end of 2016. d.correctLevel1Registrations("Mahama", "2015-10-04") d.correctLevel1Registrations("Nduta", "2016-04-06") d.correctLevel1Registrations("Nyarugusu", "2015-11-10") d.correctLevel1Registrations("Nakivale", "2015-08-18") d.correctLevel1Registrations("Lusenda", "2015-09-30") locations[26].capacity = d.getMaxFromData("Mahama", last_physical_day) locations[27].capacity = d.getMaxFromData("Nduta", last_physical_day) locations[29].capacity = d.getMaxFromData("Nyarugusu", last_physical_day)