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)
