def test_moran(self):
"""Test Moran's I global"""
data = [{"id": d["id"], "attr1": d["value"], "neighbors": d["neighbors"]} for d in self.neighbors_data]
random_seeds.set_random_seeds(1235)
moran = Moran(FakeDataProvider(data))
result = moran.global_stat("table", "value", "knn", 5, 99, "the_geom", "cartodb_id")
result_moran = result[0][0]
expected_moran = np.array([row[0] for row in self.moran_data]).mean()
self.assertAlmostEqual(expected_moran, result_moran, delta=10e-2)
def test_moran(self):
"""Test Moran's I global"""
data = [{
'id': d['id'],
'attr1': d['value'],
'neighbors': d['neighbors']
} for d in self.neighbors_data]
random_seeds.set_random_seeds(1235)
moran = Moran(FakeDataProvider(data))
result = moran.global_stat('table', 'value', 'knn', 5, 99, 'the_geom',
'cartodb_id')
result_moran = result[0][0]
expected_moran = np.array([row[0] for row in self.moran_data]).mean()
self.assertAlmostEqual(expected_moran, result_moran, delta=10e-2)
def test_moran_local_rate(self):
"""Test Moran's I rate"""
data = [
{"id": d["id"], "attr1": d["value"], "attr2": 1, "neighbors": d["neighbors"]} for d in self.neighbors_data
]
random_seeds.set_random_seeds(1234)
moran = Moran(FakeDataProvider(data))
result = moran.local_rate_stat("subquery", "numerator", "denominator", "knn", 5, 99, "the_geom", "cartodb_id")
result = [(row[0], row[1]) for row in result]
zipped_values = zip(result, self.moran_data)
for ([res_val, res_quad], [exp_val, exp_quad]) in zipped_values:
self.assertAlmostEqual(res_val, exp_val)
def test_local_stat(self):
"""Test Moran's I local"""
data = [
OrderedDict([("id", d["id"]), ("attr1", d["value"]), ("neighbors", d["neighbors"])])
for d in self.neighbors_data
]
moran = Moran(FakeDataProvider(data))
random_seeds.set_random_seeds(1234)
result = moran.local_stat("subquery", "value", "knn", 5, 99, "the_geom", "cartodb_id")
result = [(row[0], row[1]) for row in result]
zipped_values = zip(result, self.moran_data)
for ([res_val, res_quad], [exp_val, exp_quad]) in zipped_values:
self.assertAlmostEqual(res_val, exp_val)
self.assertEqual(res_quad, exp_quad)
def test_local_stat(self):
"""Test Moran's I local"""
data = [
OrderedDict([('id', d['id']), ('attr1', d['value']),
('neighbors', d['neighbors'])])
for d in self.neighbors_data
]
moran = Moran(FakeDataProvider(data))
random_seeds.set_random_seeds(1234)
result = moran.local_stat('subquery', 'value', 'knn', 5, 99,
'the_geom', 'cartodb_id')
result = [(row[0], row[6]) for row in result]
zipped_values = zip(result, self.moran_data)
for ([res_quad, res_val], [exp_val, exp_quad]) in zipped_values:
self.assertAlmostEqual(res_val, exp_val)
self.assertEqual(res_quad, exp_quad)
def test_moran_local_rate(self):
"""Test Moran's I rate"""
data = [{
'id': d['id'],
'attr1': d['value'],
'attr2': 1,
'neighbors': d['neighbors']
} for d in self.neighbors_data]
random_seeds.set_random_seeds(1234)
moran = Moran(FakeDataProvider(data))
result = moran.local_rate_stat('subquery', 'numerator', 'denominator',
'knn', 5, 99, 'the_geom', 'cartodb_id')
result = [(row[0], row[6]) for row in result]
zipped_values = zip(result, self.moran_data)
for ([res_quad, res_val], [exp_val, exp_quad]) in zipped_values:
self.assertAlmostEqual(res_val, exp_val)
