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spherical.py
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spherical.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2013 - 2021 Pyresample developers
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
"""Some generalized spherical functions.
base type is a numpy array of size (n, 2) (2 for lon and lats)
"""
import logging
import numpy as np
logger = logging.getLogger(__name__)
EPSILON = 0.0000001
def _unwrap_radians(val, mod=np.pi):
"""Put *val* between -*mod* and *mod*."""
return (val + mod) % (2 * mod) - mod
class SCoordinate(object):
"""Spherical coordinates.
The ``lon`` and ``lat`` coordinates should be provided in radians.
"""
def __init__(self, lon, lat):
if np.isfinite(lon):
self.lon = float(_unwrap_radians(lon))
else:
self.lon = float(lon)
self.lat = lat
def cross2cart(self, point):
"""Compute the cross product, and convert to cartesian coordinates."""
lat1 = self.lat
lon1 = self.lon
lat2 = point.lat
lon2 = point.lon
ad = np.sin(lat1 - lat2) * np.cos((lon1 - lon2) / 2.0)
be = np.sin(lat1 + lat2) * np.sin((lon1 - lon2) / 2.0)
c = np.sin((lon1 + lon2) / 2.0)
f = np.cos((lon1 + lon2) / 2.0)
g = np.cos(lat1)
h = np.cos(lat2)
i = np.sin(lon2 - lon1)
res = CCoordinate(np.array([-ad * c + be * f,
ad * f + be * c,
g * h * i]))
return res
def to_cart(self):
"""Convert to cartesian."""
return CCoordinate(np.array([np.cos(self.lat) * np.cos(self.lon),
np.cos(self.lat) * np.sin(self.lon),
np.sin(self.lat)]))
def distance(self, point):
"""Get distance using Vincenty formula."""
dlambda = self.lon - point.lon
num = ((np.cos(point.lat) * np.sin(dlambda)) ** 2 +
(np.cos(self.lat) * np.sin(point.lat) -
np.sin(self.lat) * np.cos(point.lat) *
np.cos(dlambda)) ** 2)
den = (np.sin(self.lat) * np.sin(point.lat) +
np.cos(self.lat) * np.cos(point.lat) * np.cos(dlambda))
return np.arctan2(num ** .5, den)
def hdistance(self, point):
"""Get distance using Haversine formula."""
return 2 * np.arcsin((np.sin((point.lat - self.lat) / 2.0) ** 2.0 +
np.cos(point.lat) * np.cos(self.lat) *
np.sin((point.lon - self.lon) / 2.0) ** 2.0) ** .5)
def __ne__(self, other):
"""Check inequality."""
return not self.__eq__(other)
def __eq__(self, other):
"""Check equality."""
return np.allclose((self.lon, self.lat), (other.lon, other.lat))
def __str__(self):
"""Get simplified representation of lon/lat arrays in degrees."""
return str((np.rad2deg(self.lon), np.rad2deg(self.lat)))
def __repr__(self):
"""Get simplified representation of lon/lat arrays in degrees."""
return str((np.rad2deg(self.lon), np.rad2deg(self.lat)))
def __iter__(self):
"""Get iterator over lon/lat pairs."""
return zip([self.lon, self.lat]).__iter__()
class CCoordinate(object):
"""Cartesian coordinates."""
def __init__(self, cart):
self.cart = np.array(cart)
def norm(self):
"""Get Euclidean norm of the vector."""
return np.sqrt(np.einsum('...i, ...i', self.cart, self.cart))
def normalize(self):
"""Normalize the vector."""
self.cart /= np.sqrt(np.einsum('...i, ...i', self.cart, self.cart))
return self
def cross(self, point):
"""Get cross product with another vector."""
return CCoordinate(np.cross(self.cart, point.cart))
def dot(self, point):
"""Get dot product with another vector."""
return np.inner(self.cart, point.cart)
def __ne__(self, other):
"""Check inequality."""
return not self.__eq__(other)
def __eq__(self, other):
"""Check equality."""
return np.allclose(self.cart, other.cart)
def __str__(self):
"""Get simplified representation."""
return str(self.cart)
def __repr__(self):
"""Get simplified representation."""
return str(self.cart)
def __add__(self, other):
"""Add."""
try:
return CCoordinate(self.cart + other.cart)
except AttributeError:
return CCoordinate(self.cart + np.array(other))
def __radd__(self, other):
"""Add."""
return self.__add__(other)
def __mul__(self, other):
"""Multiply."""
try:
return CCoordinate(self.cart * other.cart)
except AttributeError:
return CCoordinate(self.cart * np.array(other))
def __rmul__(self, other):
"""Multiply."""
return self.__mul__(other)
def to_spherical(self):
"""Convert to Spherical coordinate object."""
return SCoordinate(np.arctan2(self.cart[1], self.cart[0]),
np.arcsin(self.cart[2]))
class Arc(object):
"""An arc of the great circle between two points."""
def __init__(self, start, end):
self.start, self.end = start, end
def __eq__(self, other):
"""Check equality."""
if self.start == other.start and self.end == other.end:
return 1
return 0
def __ne__(self, other):
"""Check not equal comparison."""
return not self.__eq__(other)
def __str__(self):
"""Get simplified representation."""
return str(self.start) + " -> " + str(self.end)
def __repr__(self):
"""Get simplified representation."""
return str(self.start) + " -> " + str(self.end)
def angle(self, other_arc):
"""Oriented angle between two arcs.
Returns:
Angle in radians. A straight line will be 0. A clockwise path
will be a negative angle and counter-clockwise will be positive.
"""
if self.start == other_arc.start:
a__ = self.start
b__ = self.end
c__ = other_arc.end
elif self.start == other_arc.end:
a__ = self.start
b__ = self.end
c__ = other_arc.start
elif self.end == other_arc.end:
a__ = self.end
b__ = self.start
c__ = other_arc.start
elif self.end == other_arc.start:
a__ = self.end
b__ = self.start
c__ = other_arc.end
else:
raise ValueError("No common point in angle computation.")
ua_ = a__.cross2cart(b__)
ub_ = a__.cross2cart(c__)
val = ua_.dot(ub_) / (ua_.norm() * ub_.norm())
if abs(val - 1) < EPSILON:
angle = 0
elif abs(val + 1) < EPSILON:
angle = np.pi
else:
angle = np.arccos(val)
n__ = ua_.normalize()
if n__.dot(c__.to_cart()) > 0:
return -angle
else:
return angle
def intersections(self, other_arc):
"""Give the two intersections of the greats circles defined by the current arc and *other_arc*.
From http://williams.best.vwh.net/intersect.htm
"""
end_lon = self.end.lon
other_end_lon = other_arc.end.lon
if self.end.lon - self.start.lon > np.pi:
end_lon -= 2 * np.pi
if other_arc.end.lon - other_arc.start.lon > np.pi:
other_end_lon -= 2 * np.pi
if self.end.lon - self.start.lon < -np.pi:
end_lon += 2 * np.pi
if other_arc.end.lon - other_arc.start.lon < -np.pi:
other_end_lon += 2 * np.pi
end_point = SCoordinate(end_lon, self.end.lat)
other_end_point = SCoordinate(other_end_lon, other_arc.end.lat)
ea_ = self.start.cross2cart(end_point).normalize()
eb_ = other_arc.start.cross2cart(other_end_point).normalize()
cross = ea_.cross(eb_)
lat = np.arctan2(cross.cart[2],
np.sqrt(cross.cart[0] ** 2 + cross.cart[1] ** 2))
lon = np.arctan2(cross.cart[1], cross.cart[0])
return (SCoordinate(lon, lat),
SCoordinate(_unwrap_radians(lon + np.pi), -lat))
def intersects(self, other_arc):
"""Check if the current arc and the *other_arc* intersect.
An arc is defined as the shortest tracks between two points.
"""
return bool(self.intersection(other_arc))
def intersection(self, other_arc):
"""Return where, if the current arc and the *other_arc* intersect.
None is returned if there is not intersection. An arc is defined
as the shortest tracks between two points.
"""
if self == other_arc:
return None
for i in self.intersections(other_arc):
a__ = self.start
b__ = self.end
c__ = other_arc.start
d__ = other_arc.end
ab_ = a__.hdistance(b__)
cd_ = c__.hdistance(d__)
if(((i in (a__, b__)) or
(abs(a__.hdistance(i) + b__.hdistance(i) - ab_) < EPSILON)) and
((i in (c__, d__)) or
(abs(c__.hdistance(i) + d__.hdistance(i) - cd_) < EPSILON))):
return i
return None
def get_next_intersection(self, arcs, known_inter=None):
"""Get the next intersection between the current arc and *arcs*."""
res = []
for arc in arcs:
inter = self.intersection(arc)
if (inter is not None and
inter != arc.end and
inter != self.end):
res.append((inter, arc))
def dist(args):
"""Get distance key."""
return self.start.distance(args[0])
take_next = False
for inter, arc in sorted(res, key=dist):
if known_inter is not None:
if known_inter == inter:
take_next = True
elif take_next:
return inter, arc
else:
return inter, arc
return None, None
class SphPolygon:
"""Spherical polygon.
Represents a polygon on a spherical geoid. Initialise with
an ndarray of shape ``[N, 2]`` where the first column contains longitudes
and the second column contains latitudes. The units should be in radians.
The inside of the polygon is defined by the vertices being defined clockwise
around it.
The optional second argument ``radius`` indicates the radius of the
spherical geoid on which calculations occur.
"""
def __init__(self, vertices, radius=1):
"""Initialise SphPolygon object.
Args:
vertices (np.ndarray): ndarray of shape ``[N, 2]`` with ``N``
points describing a polygon clockwise. First column
describes longitudes, second column describes latitudes. Units
should be in radians.
radius (optional, number): Radius of spherical planet.
"""
self.vertices = vertices.astype(np.float64, copy=False)
self.lon = _unwrap_radians(self.vertices[:, 0])
self.lat = self.vertices[:, 1]
self.radius = radius
self.cvertices = np.array([np.cos(self.lat) * np.cos(self.lon),
np.cos(self.lat) * np.sin(self.lon),
np.sin(self.lat)]).T * radius
self.x__ = self.cvertices[:, 0]
self.y__ = self.cvertices[:, 1]
self.z__ = self.cvertices[:, 2]
def invert(self):
"""Invert the polygon."""
self.vertices = np.flipud(self.vertices)
self.cvertices = np.flipud(self.cvertices)
self.lon = self.vertices[:, 0]
self.lat = self.vertices[:, 1]
self.x__ = self.cvertices[:, 0]
self.y__ = self.cvertices[:, 1]
self.z__ = self.cvertices[:, 2]
def inverse(self):
"""Return an inverse of the polygon."""
return SphPolygon(np.flipud(self.vertices), radius=self.radius)
def aedges(self):
"""Get generator over the edges, in arcs of Coordinates."""
for (lon_start, lat_start), (lon_stop, lat_stop) in self.edges():
yield Arc(SCoordinate(lon_start, lat_start),
SCoordinate(lon_stop, lat_stop))
def edges(self):
"""Get generator over the edges, in geographical coordinates."""
for i in range(len(self.lon) - 1):
yield (self.lon[i], self.lat[i]), (self.lon[i + 1], self.lat[i + 1])
yield (self.lon[i + 1], self.lat[i + 1]), (self.lon[0], self.lat[0])
def area(self):
"""Find the area of a polygon.
The inside of the polygon is defined by having the vertices enumerated
clockwise around it.
Uses the algorithm described in [bev1987]_.
.. [bev1987] , Michael Bevis and Greg Cambareri,
"Computing the area of a spherical polygon of arbitrary shape",
in *Mathematical Geology*, May 1987, Volume 19, Issue 4, pp 335-346.
Note: The article mixes up longitudes and latitudes in equation 3! Look
at the fortran code appendix for the correct version.
The units are the square of the radius passed to the constructor. For
example, to calculate the area in km² of a polygon near the equator of a
spherical planet with a radius of 6371 km (similar to Earth):
>>> pol = SphPolygon(np.deg2rad(np.array([[0., 0.], [0., 1.], [1., 1.], [1., 0.]])),
radius=6371)
>>> print(pol.area())
12363.997753690213
If `SphPolygon` was constructed without passing any units, the result
has units of square radii (i.e., the polygon containing the entire
planet would have area 4π).
"""
phi_a = self.lat
phi_p = self.lat.take(np.arange(len(self.lat)) + 1, mode="wrap")
phi_b = self.lat.take(np.arange(len(self.lat)) + 2, mode="wrap")
lam_a = self.lon
lam_p = self.lon.take(np.arange(len(self.lon)) + 1, mode="wrap")
lam_b = self.lon.take(np.arange(len(self.lon)) + 2, mode="wrap")
new_lons_a = np.arctan2(np.sin(lam_a - lam_p) * np.cos(phi_a),
np.sin(phi_a) * np.cos(phi_p) -
np.cos(phi_a) * np.sin(phi_p) *
np.cos(lam_a - lam_p))
new_lons_b = np.arctan2(np.sin(lam_b - lam_p) * np.cos(phi_b),
np.sin(phi_b) * np.cos(phi_p) -
np.cos(phi_b) * np.sin(phi_p) *
np.cos(lam_b - lam_p))
alpha = new_lons_a - new_lons_b
alpha[alpha < 0] += 2 * np.pi
return (sum(alpha) - (len(self.lon) - 2) * np.pi) * self.radius ** 2
def _bool_oper(self, other, sign=1):
"""Perform a boolean operation on this and *other* polygons.abs.
By default, or when sign is 1, the union is perfomed. If sign is -1,
the intersection of the polygons is returned.
The algorithm works this way: Find an intersection between the two
polygons. If none can be found, then the two polygons are either not
overlapping, or one is entirely included in the other. Otherwise,
follow the edges of a polygon until another intersection is
encountered, at which point you start following the edges of the other
polygon, and so on until you come back to the first intersection. In
which direction to follow the edges of the polygons depends if you are
interested in the union or the intersection of the two polygons.
"""
def rotate_arcs(start_arc, arcs):
idx = arcs.index(start_arc)
return arcs[idx:] + arcs[:idx]
arcs1 = [edge for edge in self.aedges()]
arcs2 = [edge for edge in other.aedges()]
nodes = []
# find the first intersection, to start from.
for edge1 in arcs1:
inter, edge2 = edge1.get_next_intersection(arcs2)
if inter is not None and inter != edge1.end and inter != edge2.end:
break
# if no intersection is found, find out if the one poly is included in
# the other.
if inter is None:
polys = [0, self, other]
if self._is_inside(other):
return polys[-sign]
if other._is_inside(self):
return polys[sign]
return None
# starting from the intersection, follow the edges of one of the
# polygons.
while True:
arcs1 = rotate_arcs(edge1, arcs1)
arcs2 = rotate_arcs(edge2, arcs2)
narcs1 = arcs1 + [edge1]
narcs2 = arcs2 + [edge2]
arc1 = Arc(inter, edge1.end)
arc2 = Arc(inter, edge2.end)
if np.sign(arc1.angle(arc2)) != sign:
arcs1, arcs2 = arcs2, arcs1
narcs1, narcs2 = narcs2, narcs1
nodes.append(inter)
for edge1 in narcs1:
inter, edge2 = edge1.get_next_intersection(narcs2, inter)
if inter is not None:
break
elif len(nodes) > 0 and edge1.end not in [nodes[-1], nodes[0]]:
nodes.append(edge1.end)
if inter is None and len(nodes) > 2 and nodes[-1] == nodes[0]:
nodes = nodes[:-1]
break
if inter == nodes[0]:
break
return SphPolygon(np.array([(node.lon, node.lat) for node in nodes]), radius=self.radius)
def union(self, other):
"""Return the union of this and `other` polygon.
NB! If the two polygons do not overlap (they have nothing in common) None is returned.
"""
return self._bool_oper(other, 1)
def intersection(self, other):
"""Return the intersection of this and `other` polygon."""
return self._bool_oper(other, -1)
def _is_inside(self, other):
"""Check if the polygon is entirely inside the other.
Should be used with :meth:`inter` first to check if the is a
known intersection.
"""
anti_lon_0 = self.lon[0] + np.pi
if anti_lon_0 > np.pi:
anti_lon_0 -= np.pi * 2
anti_lon_1 = self.lon[1] + np.pi
if anti_lon_1 > np.pi:
anti_lon_1 -= np.pi * 2
arc1 = Arc(SCoordinate(self.lon[1],
self.lat[1]),
SCoordinate(anti_lon_0,
-self.lat[0]))
arc2 = Arc(SCoordinate(anti_lon_0,
-self.lat[0]),
SCoordinate(anti_lon_1,
-self.lat[1]))
arc3 = Arc(SCoordinate(anti_lon_1,
-self.lat[1]),
SCoordinate(self.lon[0],
self.lat[0]))
other_arcs = [edge for edge in other.aedges()]
for arc in [arc1, arc2, arc3]:
inter, other_arc = arc.get_next_intersection(other_arcs)
if inter is not None:
sarc = Arc(arc.start, inter)
earc = Arc(inter, other_arc.end)
return sarc.angle(earc) < 0
return other.area() > (2 * np.pi * other.radius ** 2)
def __str__(self):
"""Get numpy representation of vertices."""
return str(np.rad2deg(self.vertices))