geo.py 4.24 KB
 Sebastian Heimann committed May 31, 2016 1 2 ``````import numpy as num from pyrocko import orthodrome as od `````` Sebastian Heimann committed Jan 23, 2017 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 ``````from pyrocko.guts import Object, Float class Point(Object): lat = Float.T(default=0.0) lon = Float.T(default=0.0) x = Float.T(default=0.0) y = Float.T(default=0.0) z = Float.T(default=0.0) @property def vec(self): return self.lat, self.lon, self.x, self.y, self.z def points_coords(points, system=None): `````` Sebastian Heimann committed Apr 12, 2017 19 20 21 22 23 `````` a = num.zeros((len(points), 5)) for ir, r in enumerate(points): a[ir, :] = r.vec lats, lons, xs, ys, zs = a.T `````` Sebastian Heimann committed Jan 23, 2017 24 25 26 27 28 29 30 31 32 33 34 35 36 37 `````` if system is None: return (lats, lons, xs, ys, zs) elif system == 'latlon': return od.ne_to_latlon(lats, lons, xs, ys) elif system[0] == 'ne': lat0, lon0 = system[1:3] if num.all(lats == lat0) and num.all(lons == lon0): return xs, ys else: elats, elons = od.ne_to_latlon(lats, lons, xs, ys) return od.latlon_to_ne_numpy(lat0, lon0, elats, elons) `````` Sebastian Heimann committed May 31, 2016 38 39 `````` `````` Sebastian Heimann committed Jun 23, 2017 40 41 42 43 44 ``````def point_coords(point, system=None): coords = points_coords([point], system=system) return [x[0] for x in coords] `````` Sebastian Heimann committed May 31, 2016 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 ``````def float_array_broadcast(*args): return num.broadcast_arrays(*[ num.asarray(x, dtype=num.float) for x in args]) def surface_distance(alat, alon, anorth, aeast, blat, blon, bnorth, beast): args = float_array_broadcast( alat, alon, anorth, aeast, blat, blon, bnorth, beast) want_scalar = False if len(args[0].shape) == 0: want_scalar = True args = [num.atleast_1d(x) for x in args] (alat, alon, anorth, aeast, blat, blon, bnorth, beast) = args eqref = num.logical_and(alat == blat, alon == blon) neqref = num.logical_not(eqref) dist = num.empty_like(alat) dist[eqref] = num.sqrt( (bnorth[eqref] - anorth[eqref])**2 + (beast[eqref] - aeast[eqref])**2) aalat, aalon = od.ne_to_latlon( alat[neqref], alon[neqref], anorth[neqref], aeast[neqref]) bblat, bblon = od.ne_to_latlon( blat[neqref], blon[neqref], bnorth[neqref], beast[neqref]) dist[neqref] = od.distance_accurate50m_numpy(aalat, aalon, bblat, bblon) if want_scalar: return dist[0] else: return dist def bounding_box(lat, lon, north, east, depth, scale=1.0): lat, lon, north, east, depth = float_array_broadcast( lat, lon, north, east, depth) if num.all(lat[0] == lat) and num.all(lon[0] == lon): return _scaled_bb( lat[0], lon[0], (num.min(north), num.max(north)), (num.min(east), num.max(east)), (num.min(depth), num.max(depth)), scale) else: elat, elon = od.ne_to_latlon(lat, lon, north, east) enorth, eeast = od.latlon_to_ne_numpy(elat[0], elon[0], elat, elon) enorth_min = num.min(enorth) enorth_max = num.max(enorth) eeast_min = num.min(eeast) eeast_max = num.max(eeast) mnorth = 0.5*(enorth_min + enorth_max) meast = 0.5*(eeast_min + eeast_max) lat0, lon0 = od.ne_to_latlon(elat[0], elon[0], mnorth, meast) return _scaled_bb( lat0, lon0, (enorth_min - mnorth, enorth_max - mnorth), (eeast_min - meast, eeast_max - meast), (num.min(depth), num.max(depth)), scale) def bounding_box_square(lat, lon, north, east, depth, scale=1.0): `````` Sebastian Heimann committed Jun 13, 2017 115 116 `````` lat, lon, (north_min, north_max), (east_min, east_max), \ (depth_min, depth_max) = bounding_box(lat, lon, north, east, depth) `````` Sebastian Heimann committed May 31, 2016 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 `````` dnorth = north_max - north_min mnorth = 0.5 * (north_min + north_max) deast = east_max - east_min meast = 0.5 * (east_min + east_max) dmax = max(dnorth, deast) if dnorth < dmax: north_min = mnorth - 0.5*dmax north_max = mnorth + 0.5*dmax if deast < dmax: east_min = meast - 0.5*dmax east_max = meast + 0.5*dmax return _scaled_bb( lat, lon, (north_min, north_max), (east_min, east_max), (depth_min, depth_max), scale) def _scaled_range(ra, scale): mi, ma = ra d = ma - mi m = 0.5 * (ma + mi) return m - 0.5*scale*d, m + 0.5*scale*d def _scaled_bb(lat, lon, north, east, depth, scale): return ( lat, lon, _scaled_range(north, scale), _scaled_range(east, scale), _scaled_range(depth, scale))``````