def test_switzerland300_pc2016_pass(self):
"""Create LitPop entity for Switzerland 2016 with admin1 and produced capital:"""
country_name = ['CHE']
fin_mode = 'pc'
resolution = 300
ref_year = 2016
adm1 = True
cons = True
comparison_total_val = world_bank_wealth_account(country_name[0],
ref_year,
no_land=1)[1]
ent = LitPop()
with self.assertLogs('climada.entity.exposures.litpop',
level='INFO') as cm:
ent.set_country(country_name,
res_arcsec=resolution,
reference_year=ref_year,
fin_mode=fin_mode,
conserve_cntrytotal=cons,
calc_admin1=adm1)
# print(cm)
self.assertIn('Generating LitPop data at a resolution of 300 arcsec',
cm.output[0])
self.assertEqual(np.around(ent.gdf.value.sum(), 0),
np.around(comparison_total_val, 0))
self.assertAlmostEqual(ent.gdf.value.sum() / 2225854927260, 1.0)
def test_switzerland300_pass(self):
"""Create LitPop entity for Switzerland on 300 arcsec:"""
country_name = ['CHE']
resolution = 300
fin_mode = 'income_group'
ent = LitPop()
with self.assertLogs('climada.entity.exposures.litpop',
level='INFO') as cm:
ent.set_country(country_name,
res_arcsec=resolution,
fin_mode=fin_mode)
# print(cm)
self.assertIn('Generating LitPop data at a resolution of 300 arcsec',
cm.output[0])
self.assertTrue(ent.region_id.min() == 756)
self.assertTrue(ent.region_id.max() == 756)
self.assertTrue(np.int(ent.value.sum().round()) == 3350905328146)
self.assertIn('LitPop for Switzerland at 300 as, year=2016',
ent.tag.description)
self.assertIn('financial mode=income_group', ent.tag.description)
self.assertIn('GPW-year=2015', ent.tag.description)
self.assertIn('BM-year=2016', ent.tag.description)
self.assertIn('exp=[1, 1]', ent.tag.description)
self.assertTrue(equal_crs(ent.crs['init'], {'init': 'epsg:4326'}))
self.assertEqual(ent.meta['width'], 54)
self.assertEqual(ent.meta['height'], 23)
self.assertTrue(equal_crs(ent.meta['crs'], {'init': 'epsg:4326'}))
self.assertAlmostEqual(ent.meta['transform'][0], 0.08333333333333333)
self.assertAlmostEqual(ent.meta['transform'][1], 0)
self.assertAlmostEqual(ent.meta['transform'][2], 5.9166666666666)
self.assertAlmostEqual(ent.meta['transform'][3], 0)
self.assertAlmostEqual(ent.meta['transform'][4], -0.08333333333333333)
self.assertAlmostEqual(ent.meta['transform'][5], 47.7499999999999)
def get_entity(country, exponents, description_str, date_str):
file_name = (country + '_litpop_' + description_str + '_' + date_str +
'.hdf5')
exposure_file = os.path.abspath(os.path.join( \
CONFIG['local_data']['save_dir'], file_name))
if os.path.isfile(exposure_file):
exposure = LitPop()
exposure.read_hdf5(exposure_file)
# with open(exposure_file, 'rb') as f:
# exposure = pickle.load(f)
else:
exposure = LitPop()
# The arguments 'exponent' is used to set the power with which Lit and Pop go into LitPop:
exposure.set_country(country, exponents=exponents, reference_year=2014)
exposure.set_geometry_points()
exposure.check()
exposure.tag.description = (exposure.tag.description + '_' +
description_str)
exposure.set_lat_lon()
exposure.write_hdf5(exposure_file)
#pickle.dump(exposure,open(exposure_file, 'wb'))
return exposure
def test_exposure_set_admin1_BGD(self):
"""Test function exposure_set_admin1 of litpop for Bangladesh"""
country_name = ['BGD']
resolution = 600
ent = LitPop()
ent.set_country(country_name, res_arcsec=resolution)
ent = lp.exposure_set_admin1(ent, 600)
self.assertIn(5492, ent.admin1_ID.values)
self.assertIn('Chittagong', ent.admin1.values)
self.assertEqual(len(np.unique(ent.admin1_ID)), 7)
self.assertEqual(np.min(np.unique(ent.admin1_ID)), 1806.0)
def test_suriname30_nfw_pass(self):
"""Create LitPop entity for Suriname for non-finanical wealth:"""
country_name = ['SUR']
fin_mode = 'nfw'
ent = LitPop()
with self.assertLogs('climada.entity.exposures.litpop',
level='INFO') as cm:
ent.set_country(country_name,
reference_year=2016,
fin_mode=fin_mode)
# print(cm)
self.assertIn('Generating LitPop data at a resolution of 30.0 arcsec',
cm.output[0])
self.assertTrue(ent.region_id.min() == 740)
self.assertTrue(ent.region_id.max() == 740)
self.assertTrue(np.int(ent.value.sum().round()) == 2332806589)
def test_switzerland30normPop_pass(self):
"""Create LitPop entity for Switzerland on 30 arcsec:"""
country_name = ['CHE']
resolution = 30
exp = [0, 1]
fin_mode = 'norm'
ent = LitPop()
with self.assertLogs('climada.entity.exposures.litpop',
level='INFO') as cm:
ent.set_country(country_name, res_arcsec=resolution, exponent=exp,\
fin_mode=fin_mode, reference_year=2015)
# print(cm)
self.assertIn('Generating LitPop data at a resolution of 30 arcsec',
cm.output[0])
self.assertTrue(ent.region_id.min() == 756)
self.assertTrue(ent.region_id.max() == 756)
self.assertTrue(np.int((1000 * ent.value.sum()).round()) == 1000)
def test_switzerland300_pc2013_pass(self):
"""Create LitPop entity for Switzerland 2013 for produced capital:"""
country_name = ['CHE']
fin_mode = 'pc'
resolution = 300
ref_year = 2013
comparison_total_val = world_bank_wealth_account(country_name[0], \
ref_year, no_land=1)[1]
ent = LitPop()
with self.assertLogs('climada.entity.exposures.litpop',
level='INFO') as cm:
ent.set_country(country_name, res_arcsec=resolution, \
reference_year=ref_year, fin_mode=fin_mode)
# print(cm)
self.assertIn('Generating LitPop data at a resolution of 300 arcsec',
cm.output[0])
self.assertTrue(ent.value.sum() == comparison_total_val)
self.assertTrue(np.int(ent.value.sum().round()) == 2296358085749)
def _get_litpop_bbox(country, highValueArea, **kwargs):
"""get litpop exposure for the bbox area of the queried OSM features
Parameters:
country (str)
highValueArea (GeoDataFrame)
bbox (array)
kwargs (dict): arguments for LitPop set_country method
Returns:
exp_sub (LitPop)
"""
# Load LitPop Exposure for whole country, and High Value Area
exp = LitPop()
exp.set_country(country, **kwargs)
exp.set_geometry_points()
# Crop bbox of High Value Area from Country Exposure
exp.gdf = exp.gdf.cx[min(highValueArea.bounds.minx):max(highValueArea.bounds.maxx),
min(highValueArea.bounds.miny):max(highValueArea.bounds.maxy)]
return exp
def test_switzerland300_pass(self):
"""Create LitPop entity for Switzerland on 300 arcsec:"""
country_name = ['CHE']
resolution = 300
fin_mode = 'income_group'
ent = LitPop()
with self.assertLogs('climada.entity.exposures.litpop',
level='INFO') as cm:
ent.set_country(country_name,
res_arcsec=resolution,
fin_mode=fin_mode)
# print(cm)
self.assertIn('Generating LitPop data at a resolution of 300 arcsec',
cm.output[0])
self.assertTrue(ent.region_id.min() == 756)
self.assertTrue(ent.region_id.max() == 756)
self.assertTrue(np.int(ent.value.sum().round()) == 3350905328146)
self.assertIn('LitPop for Switzerland at 300 as, year=2016',
ent.tag.description)
self.assertIn('financial mode=income_group', ent.tag.description)
self.assertIn('GPW-year=2015', ent.tag.description)
self.assertIn('BM-year=2016', ent.tag.description)
self.assertIn('exp=[1, 1]', ent.tag.description)