def test_rotation2(self):
eps = 1.0e-7
lats = num.linspace(50., 60., 20)
lons = num.linspace(170., 180., 20)
lats2 = num.repeat(lats, lons.size)
lons2 = num.tile(lons, lats.size)
points = num.vstack((lats2, lons2)).T
xyz = orthodrome.latlon_to_xyz(points)
rot = orthodrome.rot_to_00(lats[0], lons[0])
xyz2 = num.dot(rot, xyz.T).T
points2 = orthodrome.xyz_to_latlon(xyz2)
assert num.all(points2[:, 1] > -eps)
def test_rotation2(self):
eps = 1.0e-7
lats = num.linspace(50., 60., 20)
lons = num.linspace(170., 180., 20)
lats2 = num.repeat(lats, lons.size)
lons2 = num.tile(lons, lats.size)
points = num.vstack((lats2, lons2)).T
xyz = orthodrome.latlon_to_xyz(points)
rot = orthodrome.rot_to_00(lats[0], lons[0])
xyz2 = num.dot(rot, xyz.T).T
points2 = orthodrome.xyz_to_latlon(xyz2)
assert num.all(points2[:, 1] > -eps)
def test_point_in_polygon(self):
if plot:
from pyrocko.plot import mpl_graph_color
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
axes = plt.gca()
nip = 100
for i in range(1):
np = 3
points = num.zeros((np, 2))
points[:, 0] = random_lat(size=3)
points[:, 1] = random_lon(size=3)
points_ip = num.zeros((nip*points.shape[0], 2))
for ip in range(points.shape[0]):
n, e = orthodrome.latlon_to_ne_numpy(
points[ip % np, 0], points[ip % np, 1],
points[(ip+1) % np, 0], points[(ip+1) % np, 1])
ns = num.arange(nip) * n / nip
es = num.arange(nip) * e / nip
lats, lons = orthodrome.ne_to_latlon(
points[ip % np, 0], points[ip % np, 1], ns, es)
points_ip[ip*nip:(ip+1)*nip, 0] = lats
points_ip[ip*nip:(ip+1)*nip, 1] = lons
if plot:
color = mpl_graph_color(i)
axes.add_patch(
Polygon(
num.fliplr(points_ip),
facecolor=light(color),
edgecolor=color,
alpha=0.5))
points_xyz = orthodrome.latlon_to_xyz(points_ip.T)
center_xyz = num.mean(points_xyz, axis=0)
assert num.all(
orthodrome.distances3d(
points_xyz, center_xyz[num.newaxis, :]) < 1.0)
lat, lon = orthodrome.xyz_to_latlon(center_xyz)
rot = orthodrome.rot_to_00(lat, lon)
points_rot_xyz = num.dot(rot, points_xyz.T).T
points_rot_pro = orthodrome.stereographic(points_rot_xyz) # noqa
poly_xyz = orthodrome.latlon_to_xyz(points_ip)
poly_rot_xyz = num.dot(rot, poly_xyz.T).T
groups = orthodrome.spoly_cut([poly_rot_xyz], axis=0)
num.zeros(points.shape[0], dtype=num.int)
if plot:
for group in groups:
for poly_rot_group_xyz in group:
axes.set_xlim(-180., 180.)
axes.set_ylim(-90., 90.)
plt.show()
def test_point_in_polygon(self):
if plot:
from pyrocko.plot import mpl_graph_color
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
axes = plt.gca()
nip = 100
for i in range(1):
np = 3
points = num.zeros((np, 2))
points[:, 0] = random_lat(size=3)
points[:, 1] = random_lon(size=3)
points_ip = num.zeros((nip*points.shape[0], 2))
for ip in range(points.shape[0]):
n, e = orthodrome.latlon_to_ne_numpy(
points[ip % np, 0], points[ip % np, 1],
points[(ip+1) % np, 0], points[(ip+1) % np, 1])
ns = num.arange(nip) * n / nip
es = num.arange(nip) * e / nip
lats, lons = orthodrome.ne_to_latlon(
points[ip % np, 0], points[ip % np, 1], ns, es)
points_ip[ip*nip:(ip+1)*nip, 0] = lats
points_ip[ip*nip:(ip+1)*nip, 1] = lons
if plot:
color = mpl_graph_color(i)
axes.add_patch(
Polygon(
num.fliplr(points_ip),
facecolor=light(color),
edgecolor=color,
alpha=0.5))
points_xyz = orthodrome.latlon_to_xyz(points_ip.T)
center_xyz = num.mean(points_xyz, axis=0)
assert num.all(
orthodrome.distances3d(
points_xyz, center_xyz[num.newaxis, :]) < 1.0)
lat, lon = orthodrome.xyz_to_latlon(center_xyz)
rot = orthodrome.rot_to_00(lat, lon)
points_rot_xyz = num.dot(rot, points_xyz.T).T
points_rot_pro = orthodrome.stereographic(points_rot_xyz) # noqa
poly_xyz = orthodrome.latlon_to_xyz(points_ip)
poly_rot_xyz = num.dot(rot, poly_xyz.T).T
groups = orthodrome.spoly_cut([poly_rot_xyz], axis=0)
num.zeros(points.shape[0], dtype=num.int)
if plot:
for group in groups:
for poly_rot_group_xyz in group:
axes.set_xlim(-180., 180.)
axes.set_ylim(-90., 90.)
plt.show()