def test_reduce_nontemporal(self):
input = Pyramid({0: self.tiled_raster_rdd})
imagecollection = GeotrellisTimeSeriesImageCollection(
input, InMemoryServiceRegistry())
with self.assertRaises(AttributeError) as context:
imagecollection.reduce("max",
"spectral").pyramid.levels[0].stitch()
print(context.exception)
def test_aggregate_max_time(self):
input = Pyramid({0: self.tiled_raster_rdd})
imagecollection = GeotrellisTimeSeriesImageCollection(
input, InMemoryServiceRegistry())
stitched = imagecollection.reduce(
'max', 'temporal').pyramid.levels[0].stitch()
print(stitched)
self.assertEqual(2.0, stitched.cells[0][0][0])
def test_min_time(self):
input = Pyramid({0: self.tiled_raster_rdd})
imagecollection = GeotrellisTimeSeriesImageCollection(
input, InMemoryServiceRegistry())
min_time = imagecollection.reduce('min', 'temporal')
max_time = imagecollection.reduce('max', 'temporal')
stitched = min_time.pyramid.levels[0].stitch()
print(stitched)
self.assertEquals(2.0, stitched.cells[0][0][0])
for p in self.points[1:3]:
result = min_time.timeseries(p.x, p.y, srs="EPSG:3857")
print(result)
print(imagecollection.timeseries(p.x, p.y, srs="EPSG:3857"))
max_result = max_time.timeseries(p.x, p.y, srs="EPSG:3857")
self.assertEqual(1.0, result['NoDate'])
self.assertEqual(2.0, max_result['NoDate'])
def test_reduce_some_nodata(self):
no_data = -1.0
input = Pyramid({
0:
self._single_pixel_layer(
{
datetime.datetime.strptime("2016-04-24T04:00:00Z", '%Y-%m-%dT%H:%M:%SZ'):
no_data,
datetime.datetime.strptime("2017-04-24T04:00:00Z", '%Y-%m-%dT%H:%M:%SZ'):
5.0
}, no_data)
})
imagecollection = GeotrellisTimeSeriesImageCollection(
input, InMemoryServiceRegistry())
stitched = imagecollection.reduce(
"min", "temporal").pyramid.levels[0].stitch()
#print(stitched)
self.assertEqual(5.0, stitched.cells[0][0][0])
stitched = imagecollection.reduce(
"max", "temporal").pyramid.levels[0].stitch()
self.assertEqual(5.0, stitched.cells[0][0][0])
stitched = imagecollection.reduce(
"sum", "temporal").pyramid.levels[0].stitch()
self.assertEqual(5.0, stitched.cells[0][0][0])
stitched = imagecollection.reduce(
"mean", "temporal").pyramid.levels[0].stitch()
self.assertAlmostEqual(5.0, stitched.cells[0][0][0], delta=0.001)
stitched = imagecollection.reduce(
"variance", "temporal").pyramid.levels[0].stitch()
self.assertAlmostEqual(0.0, stitched.cells[0][0][0], delta=0.001)
stitched = imagecollection.reduce(
"sd", "temporal").pyramid.levels[0].stitch()
self.assertAlmostEqual(0.0, stitched.cells[0][0][0], delta=0.001)
def test_reduce(self):
input = Pyramid({0: self.tiled_raster_rdd})
imagecollection = GeotrellisTimeSeriesImageCollection(
input, InMemoryServiceRegistry())
stitched = imagecollection.reduce(
"max", "temporal").pyramid.levels[0].stitch()
print(stitched)
self.assertEqual(2.0, stitched.cells[0][0][0])
self.assertEqual(2.0, stitched.cells[0][0][1])
stitched = imagecollection.reduce(
"min", "temporal").pyramid.levels[0].stitch()
print(stitched)
self.assertEqual(2.0, stitched.cells[0][0][0])
self.assertEqual(1.0, stitched.cells[0][0][1])
stitched = imagecollection.reduce(
"sum", "temporal").pyramid.levels[0].stitch()
print(stitched)
self.assertEqual(2.0, stitched.cells[0][0][0])
self.assertEqual(4.0, stitched.cells[0][0][1])
stitched = imagecollection.reduce(
"mean", "temporal").pyramid.levels[0].stitch()
print(stitched)
self.assertEqual(2.0, stitched.cells[0][0][0])
self.assertAlmostEqual(1.3333333, stitched.cells[0][0][1])
stitched = imagecollection.reduce(
"variance", "temporal").pyramid.levels[0].stitch()
print(stitched)
self.assertEqual(0.0, stitched.cells[0][0][0])
self.assertAlmostEqual(0.2222222, stitched.cells[0][0][1])
stitched = imagecollection.reduce(
"sd", "temporal").pyramid.levels[0].stitch()
print(stitched)
self.assertEqual(0.0, stitched.cells[0][0][0])
self.assertAlmostEqual(0.4714045, stitched.cells[0][0][1])