/usr/lib/python2.7/dist-packages/cartopy/tests/crs/test_azimuthal_equidistant.py is in python-cartopy 0.14.2+dfsg1-2build3.
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#
# This file is part of cartopy.
#
# cartopy is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# cartopy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with cartopy. If not, see <https://www.gnu.org/licenses/>.
from __future__ import (absolute_import, division, print_function)
import unittest
import numpy as np
from numpy.testing import assert_almost_equal, assert_array_almost_equal
from nose.tools import assert_equal
import cartopy.crs as ccrs
class TestAzimuthalEquidistant(unittest.TestCase):
def test_default(self):
aeqd = ccrs.AzimuthalEquidistant()
expected = ('+ellps=WGS84 +proj=aeqd +lon_0=0.0 '
'+lat_0=0.0 +x_0=0.0 +y_0=0.0 +no_defs')
assert_equal(aeqd.proj4_init, expected)
assert_almost_equal(np.array(aeqd.x_limits),
[-20037508.34278924, 20037508.34278924], decimal=6)
assert_almost_equal(np.array(aeqd.y_limits),
[-20037508.34278924, 20037508.34278924], decimal=6)
def test_eccentric_globe(self):
globe = ccrs.Globe(semimajor_axis=1000, semiminor_axis=500,
ellipse=None)
aeqd = ccrs.AzimuthalEquidistant(globe=globe)
expected = ('+a=1000 +b=500 +proj=aeqd +lon_0=0.0 +lat_0=0.0 '
'+x_0=0.0 +y_0=0.0 +no_defs')
assert_equal(aeqd.proj4_init, expected)
assert_almost_equal(np.array(aeqd.x_limits),
[-3141.59265359, 3141.59265359], decimal=6)
assert_almost_equal(np.array(aeqd.y_limits),
[-1570.796326795, 1570.796326795], decimal=6)
def test_eastings(self):
aeqd_offset = ccrs.AzimuthalEquidistant(false_easting=1234,
false_northing=-4321)
expected = ('+ellps=WGS84 +proj=aeqd +lon_0=0.0 +lat_0=0.0 '
'+x_0=1234 +y_0=-4321 +no_defs')
assert_equal(aeqd_offset.proj4_init, expected)
assert_almost_equal(np.array(aeqd_offset.x_limits),
[-20036274.34278924, 20038742.34278924], decimal=6)
assert_almost_equal(np.array(aeqd_offset.y_limits),
[-20041829.34278924, 20033187.34278924], decimal=6)
def test_grid(self):
# USGS Professional Paper 1395, pp 196--197, Table 30
globe = ccrs.Globe(ellipse=None,
semimajor_axis=1.0, semiminor_axis=1.0)
aeqd = ccrs.AzimuthalEquidistant(central_latitude=0.0,
central_longitude=0.0,
globe=globe)
geodetic = aeqd.as_geodetic()
expected = ('+a=1.0 +b=1.0 +proj=aeqd +lon_0=0.0 +lat_0=0.0 '
'+x_0=0.0 +y_0=0.0 +no_defs')
assert_equal(aeqd.proj4_init, expected)
assert_almost_equal(np.array(aeqd.x_limits),
[-3.14159265, 3.14159265], decimal=6)
assert_almost_equal(np.array(aeqd.y_limits),
[-3.14159265, 3.14159265], decimal=6)
lats, lons = np.mgrid[0:100:10, 0:100:10]
result = aeqd.transform_points(geodetic, lons.ravel(), lats.ravel())
expected_x = np.array([
[0.00000, 0.17453, 0.34907, 0.52360, 0.69813,
0.87266, 1.04720, 1.22173, 1.39626, 1.57080],
[0.00000, 0.17275, 0.34546, 0.51807, 0.69054,
0.86278, 1.03472, 1.20620, 1.37704, 1.54693],
[0.00000, 0.16736, 0.33454, 0.50137, 0.66762,
0.83301, 0.99719, 1.15965, 1.31964, 1.47607],
[0.00000, 0.15822, 0.31607, 0.47314, 0.62896,
0.78296, 0.93436, 1.08215, 1.22487, 1.36035],
[0.00000, 0.14511, 0.28959, 0.43276, 0.57386,
0.71195, 0.84583, 0.97392, 1.09409, 1.20330],
[0.00000, 0.12765, 0.25441, 0.37931, 0.50127,
0.61904, 0.73106, 0.83535, 0.92935, 1.00969],
[0.00000, 0.10534, 0.20955, 0.31145, 0.40976,
0.50301, 0.58948, 0.66711, 0.73343, 0.78540],
[0.00000, 0.07741, 0.15362, 0.22740, 0.29744,
0.36234, 0.42056, 0.47039, 0.50997, 0.53724],
[0.00000, 0.04281, 0.08469, 0.12469, 0.16188,
0.19529, 0.22399, 0.24706, 0.26358, 0.27277],
[0.00000, 0.00000, 0.00000, 0.00000, 0.00000,
0.00000, 0.00000, 0.00000, 0.00000, 0.00000],
]).ravel()
assert_almost_equal(result[:, 0], expected_x, decimal=5)
expected_y = np.array([
[0.00000, 0.00000, 0.00000, 0.00000, 0.00000,
0.00000, 0.00000, 0.00000, 0.00000, 0.00000],
[0.17453, 0.17541, 0.17810, 0.18270, 0.18943,
0.19859, 0.21067, 0.22634, 0.24656, 0.27277],
[0.34907, 0.35079, 0.35601, 0.36497, 0.37803,
0.39579, 0.41910, 0.44916, 0.48772, 0.53724],
[0.52360, 0.52606, 0.53355, 0.54634, 0.56493,
0.59010, 0.62291, 0.66488, 0.71809, 0.78540],
[0.69813, 0.70119, 0.71046, 0.72626, 0.74912,
0.77984, 0.81953, 0.86967, 0.93221, 1.00969],
[0.87266, 0.87609, 0.88647, 0.90408, 0.92938,
0.96306, 1.00602, 1.05942, 1.12464, 1.20330],
[1.04720, 1.05068, 1.06119, 1.07891, 1.10415,
1.13733, 1.17896, 1.22963, 1.28993, 1.36035],
[1.22173, 1.22481, 1.23407, 1.24956, 1.27137,
1.29957, 1.33423, 1.37533, 1.42273, 1.47607],
[1.39626, 1.39829, 1.40434, 1.41435, 1.42823,
1.44581, 1.46686, 1.49104, 1.51792, 1.54693],
[1.57080, 1.57080, 1.57080, 1.57080, 1.57080,
1.57080, 1.57080, 1.57080, 1.57080, 1.57080],
]).ravel()
assert_almost_equal(result[:, 1], expected_y, decimal=5)
def test_sphere_transform(self):
# USGS Professional Paper 1395, pg 337
globe = ccrs.Globe(ellipse=None,
semimajor_axis=3.0, semiminor_axis=3.0)
aeqd = ccrs.AzimuthalEquidistant(central_latitude=40.0,
central_longitude=-100.0,
globe=globe)
geodetic = aeqd.as_geodetic()
expected = ('+a=3.0 +b=3.0 +proj=aeqd +lon_0=-100.0 +lat_0=40.0 '
'+x_0=0.0 +y_0=0.0 +no_defs')
assert_equal(aeqd.proj4_init, expected)
assert_almost_equal(np.array(aeqd.x_limits),
[-9.42477796, 9.42477796], decimal=6)
assert_almost_equal(np.array(aeqd.y_limits),
[-9.42477796, 9.42477796], decimal=6)
result = aeqd.transform_point(100.0, -20.0, geodetic)
assert_array_almost_equal(result, [-5.8311398, 5.5444634])
def test_ellipsoid_polar_transform(self):
# USGS Professional Paper 1395, pp 338--339
globe = ccrs.Globe(ellipse=None, semimajor_axis=6378388.0,
flattening=1 - np.sqrt(1 - 0.00672267))
aeqd = ccrs.AzimuthalEquidistant(central_latitude=90.0,
central_longitude=-100.0,
globe=globe)
geodetic = aeqd.as_geodetic()
expected = ('+a=6378388.0 +f=0.003367003355798981 +proj=aeqd '
'+lon_0=-100.0 +lat_0=90.0 +x_0=0.0 +y_0=0.0 +no_defs')
assert_equal(aeqd.proj4_init, expected)
assert_almost_equal(np.array(aeqd.x_limits),
[-20038296.88254529, 20038296.88254529], decimal=6)
assert_almost_equal(np.array(aeqd.y_limits),
# TODO: This is wrong. Globe.semiminor_axis does
# not account for flattening.
# [-19970827.86969727, 19970827.86969727]
[-20038296.88254529, 20038296.88254529], decimal=6)
result = aeqd.transform_point(5.0, 80.0, geodetic)
assert_array_almost_equal(result, [1078828.3, 289071.2], decimal=1)
def test_ellipsoid_guam_transform(self):
# USGS Professional Paper 1395, pp 339--340
globe = ccrs.Globe(ellipse=None, semimajor_axis=6378206.4,
flattening=1 - np.sqrt(1 - 0.00676866))
lat_0 = 13 + (28 + 20.87887 / 60) / 60
lon_0 = 144 + (44 + 55.50254 / 60) / 60
aeqd = ccrs.AzimuthalEquidistant(central_latitude=lat_0,
central_longitude=lon_0,
false_easting=50000.0,
false_northing=50000.0,
globe=globe)
geodetic = aeqd.as_geodetic()
expected = ('+a=6378206.4 +f=0.003390076308689371 +proj=aeqd '
'+lon_0=144.7487507055556 +lat_0=13.47246635277778 '
'+x_0=50000.0 +y_0=50000.0 +no_defs')
assert_equal(aeqd.proj4_init, expected)
assert_almost_equal(np.array(aeqd.x_limits),
[-19987726.36931940, 20087726.36931940], decimal=6)
assert_almost_equal(np.array(aeqd.y_limits),
# TODO: This is wrong. Globe.semiminor_axis does
# not account for flattening.
# [-19919796.94787477, 20019796.94787477]
[-19987726.36931940, 20087726.36931940], decimal=6)
pt_lat = 13 + (20 + 20.53846 / 60) / 60
pt_lon = 144 + (38 + 7.19265 / 60) / 60
result = aeqd.transform_point(pt_lon, pt_lat, geodetic)
# The paper uses an approximation, so we cannot match it exactly,
# hence, decimal=1, not 2.
assert_array_almost_equal(result, [37712.48, 35242.00], decimal=1)
def test_ellipsoid_micronesia_transform(self):
# USGS Professional Paper 1395, pp 340--341
globe = ccrs.Globe(ellipse=None, semimajor_axis=6378206.4,
flattening=1 - np.sqrt(1 - 0.00676866))
lat_0 = 15 + (11 + 5.6830 / 60) / 60
lon_0 = 145 + (44 + 29.9720 / 60) / 60
aeqd = ccrs.AzimuthalEquidistant(central_latitude=lat_0,
central_longitude=lon_0,
false_easting=28657.52,
false_northing=67199.99,
globe=globe)
geodetic = aeqd.as_geodetic()
expected = ('+a=6378206.4 +f=0.003390076308689371 +proj=aeqd '
'+lon_0=145.7416588888889 +lat_0=15.18491194444444 '
'+x_0=28657.52 +y_0=67199.99000000001 +no_defs')
assert_equal(aeqd.proj4_init, expected)
assert_almost_equal(np.array(aeqd.x_limits),
[-20009068.84931940, 20066383.88931940], decimal=6)
assert_almost_equal(np.array(aeqd.y_limits),
# TODO: This is wrong. Globe.semiminor_axis does
# not account for flattening.
# [-19902596.95787477, 20036996.93787477]
[-19970526.37931940, 20104926.35931940], decimal=6)
pt_lat = 15 + (14 + 47.4930 / 60) / 60
pt_lon = 145 + (47 + 34.9080 / 60) / 60
result = aeqd.transform_point(pt_lon, pt_lat, geodetic)
assert_array_almost_equal(result, [34176.20, 74017.88], decimal=2)
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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