def points_on_sphere(dx,xmin=-180.,xmax=180.,ymin=-89.999,ymax=89.999,c_centr=None,\
radius=None):
"""
Calculate a more or less equally spaced grid on spherical Earth's surface.
:param dx: spacing in latitudinal and longitudinal direction in meter
:type c_centr: Tuple
:param c_centr: Specify a central location
:type radius: float
:param radius: Radius around central location in m; no sources beyond this will be included
:returns: np.array(latitude, longitude) of grid points, where -180<=lon<180 and -90 <= lat < 90
"""
if xmax <= xmin or ymax <= ymin:
msg = 'Lower bounds must be lower than upper bounds.'
raise ValueError(msg)
gridx = []
gridy = []
lat = ymin
if ymin == -90.:
ymin = -89.999
warn("Resetting lat_min to -89.999 degree")
while lat <= ymax:
d_lat = dx / len_deg_lat(lat)
d_lon = dx / len_deg_lon(lat)
lon = xmin + np.random.rand(1)[0] * d_lon
while lon <= xmax:
gridx.append(lon)
gridy.append(lat)
if c_centr and radius:
if gps2dist_azimuth(lat, lon, c_centr[0],
c_centr[1])[0] > radius:
print(
lat, lon,
gps2dist_azimuth(lat, lon, c_centr[0], c_centr[1])[0])
if abs(lat) != 90.:
d_lon = dx / len_deg_lon(lat)
lon += d_lon
continue
else:
break
if abs(lat) == 90:
# length of a degree longitude will be 0.
break
else:
d_lon = dx / len_deg_lon(lat)
lon += d_lon
lat += d_lat # do not start at pole or zero division will raise...
# return values sorted by longitude, basemap likes it.
grid = list(zip(*sorted(zip(gridx, gridy), key=lambda it: it[0])))
return list((gridx, gridy)) #grid
def points_on_sphere(dx,xmin=-180.,xmax=180.,ymin=-89.999,ymax=89.999,c_centr=None,\
radius=None):
"""
Calculate a more or less equally spaced grid on spherical Earth's surface.
:param dx: spacing in latitudinal and longitudinal direction in meter
:type c_centr: Tuple
:param c_centr: Specify a central location
:type radius: float
:param radius: Radius around central location in m; no sources beyond this will be included
:returns: np.array(latitude, longitude) of grid points, where -180<=lon<180 and -90 <= lat < 90
"""
if xmax <= xmin or ymax <= ymin:
msg = 'Lower bounds must be lower than upper bounds.'
raise ValueError(msg)
gridx = []
gridy = []
lat = ymin
if ymin == -90.:
ymin = -89.999
warn("Resetting lat_min to -89.999 degree")
while lat <= ymax:
d_lat = dx / len_deg_lat(lat)
d_lon = dx / len_deg_lon(lat)
lon = xmin + np.random.rand(1)[0] * d_lon
while lon <= xmax:
gridx.append(lon)
gridy.append(lat)
if c_centr and radius:
if gps2dist_azimuth(lat,lon,c_centr[0],c_centr[1])[0] > radius:
print(lat,lon,gps2dist_azimuth(lat,lon,c_centr[0],c_centr[1])[0])
if abs(lat) != 90.:
d_lon = dx / len_deg_lon(lat)
lon += d_lon
continue
else:
break
if abs(lat) == 90:
# length of a degree longitude will be 0.
break
else:
d_lon = dx / len_deg_lon(lat)
lon += d_lon
lat += d_lat # do not start at pole or zero division will raise...
# return values sorted by longitude, basemap likes it.
grid = list(zip(*sorted(zip(gridx, gridy), key=lambda it: it[0])))
return list((gridx,gridy))#grid
def test_geostuff():
grid = np.zeros((2, 5))
location = [45.0, 45.0]
dist = geographical_distances(grid, location)
assert (type(dist) == np.ndarray)
assert (pytest.approx(dist[0]) == 6662472.7182103)
assert is_land(location, location)[0]
assert (floor(geograph_to_geocent(location[0])) == 44)
assert (pytest.approx(len_deg_lat(location[0])) == 111131.779)
assert (pytest.approx(len_deg_lon(location[0])) == 78582.91976)