# Coverage for pygeodesy/geoids.py : 96%

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1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 | # -*- coding: utf-8 -*- u'''Geoid models and geoid height interpolations. Classes L{GeoidG2012B}, L{GeoidKarney} and L{GeoidPGM} to interpolate the height of various U{geoid<https://WikiPedia.org/wiki/Geoid>}s at C{LatLon} locations or separate lat-/longitudes using different interpolation methods and C{geoid} model files. L{GeoidKarney} is a transcoding of I{Charles Karney}'s C++ class U{Geoid <https://GeographicLib.SourceForge.io/html/geoid.html>} to pure Python. The L{GeoidG2012B} and L{GeoidPGM} interpolators both depend on U{scipy <https://SciPy.org>} and U{numpy<https://PyPI.org/project/numpy>} and require those packages to be installed. In addition, each geoid interpolator needs C{grid knots} (down)loaded from a C{geoid} model file, I{specific to the interpolator}, more details below and in the documentation of the interpolator class. For each interpolator, there are several interpolation choices, like I{linear}, I{cubic}, etc. Typical usage ============= 1. Choose one of the interpolator classes L{GeoidG2012B}, L{GeoidKarney} or L{GeoidPGM} and download a C{geoid} model file, containing locations with known heights also referred to as the C{grid knots}. See the documentation of interpolator class for references to available C{grid} models. C{>>> from pygeodesy import GeoidG2012B # or -Karney or -PGM as GeoidXyz} 2. Instantiate an interpolator with the C{geoid} model file and use keyword arguments to select different interpolation options C{>>> ginterpolator = GeoidXyz(geoid_model_file, **options)} 3. Get the interpolated geoid height of one or several C{LatLon} location(s) with C{>>> h = ginterpolator(ll)} or C{>>> h0, h1, h2, ... = ginterpolator(ll0, ll1, ll2, ...)} or a list, tuple, generator, etc. of C{LatLon}s C{>>> hs = ginterpolator(lls)} 4. For separate lat- and longitudes invoke the C{.height} method as C{>>> h = ginterpolator.height(lat, lon)} or as 2 lists, tuple, etc. C{>>> hs = ginterpolator.height(lats, lons)} 5. An example is in U{issue #64<https://GitHub.com/mrJean1/PyGeodesy/issues/64>}. @note: Classes L{GeoidG2012B} and L{GeoidPGM} require both U{numpy <https://PyPI.org/project/numpy>} and U{scipy<https://PyPI.org/project/scipy>} to be installed. @note: Errors from C{scipy} are raised as L{SciPyError}s. Warnings issued by C{scipy} can be thrown as L{SciPyWarning} exceptions, provided Python C{warnings} are filtered accordingly, see L{SciPyWarning}. @see: I{Karney}'s U{GeographicLib<https://GeographicLib.SourceForge.io/ html/index.html>}, U{Geoid height<https://GeographicLib.SourceForge.io/ html/geoid.html>} and U{Installing the Geoid datasets<https:// GeographicLib.SourceForge.io/html/geoid.html#geoidinst>}, U{SciPy <https://docs.SciPy.org/doc/scipy/reference/interpolate.html>} interpolation U{RectBivariateSpline<https://docs.SciPy.org/doc/scipy/ reference/generated/scipy.interpolate.RectBivariateSpline.html>} and U{interp2d<https://docs.SciPy.org/doc/scipy/reference/generated/ scipy.interpolate.interp2d.html>} and the functions L{elevations.elevation2} and L{elevations.geoidHeight2}. ''' # make sure int/int division yields float quotient, see .basics from __future__ import division from pygeodesy.basics import len2, map1, map2, isodd, ub2str as _ub2str from pygeodesy.datums import _ellipsoidal_datum, _WGS84 from pygeodesy.dms import parseDMS2 from pygeodesy.errors import _incompatible, LenError, RangeError, _SciPyIssue from pygeodesy.fmath import favg, Fdot, fdot, Fhorner, frange from pygeodesy.heights import _allis2, _ascalar, _HeightBase, HeightError from pygeodesy.interns import EPS, NN, _COLONSPACE_, _COMMASPACE_, _cubic_, \ _DOT_, _E_, _float as _F, _height_, _in_, _kind_, \ _knots_, _lat_, _linear_, _lon_, _mean_, _N_, \ _n_a_, _not_, _numpy_, _on_, _outside_, _S_, _s_, \ _scipy_, _SPACE_, _stdev_, _supported_, _tbd_, \ _W_, _width_, _4_, _0_0, _1_0, _180_0, _360_0 from pygeodesy.lazily import _ALL_DOCS, _ALL_LAZY, _FOR_DOCS from pygeodesy.named import _Named, _NamedTuple, notOverloaded from pygeodesy.namedTuples import LatLon3Tuple from pygeodesy.props import Property_RO, property_RO from pygeodesy.streprs import attrs, Fmt, fstr, pairs from pygeodesy.units import Height, Int_, Lat, Lon from math import floor import os.path as _os_path from os import SEEK_CUR as _SEEK_CUR, SEEK_SET as _SEEK_SET from struct import calcsize as _calcsize, unpack as _unpack try: from StringIO import StringIO as _BytesIO # reads bytes _ub2str = str # PYCHOK convert bytes to str for egm*.pgm text except ImportError: # Python 3+ from io import BytesIO as _BytesIO # PYCHOK expected __all__ = _ALL_LAZY.geoids __version__ = '21.11.25' _assert_ = 'assert' _bHASH_ = b'#' _endian_ = 'endian' _format_ = '%s %r' _header_ = 'header' # temporarily hold a single instance for each int value _intCs = {} _interp2d_ks = {-2: _linear_, -3: _cubic_, -5: 'quintic'} _lli_ = 'lli' _non_increasing_ = 'non-increasing' _rb_ = 'rb' class _GeoidBase(_HeightBase): '''(INTERNAL) Base class for C{Geoid...}s. ''' _cropped = None _datum = _WGS84 _egm = None # open C{egm*.pgm} geoid file _endian = _tbd_ _geoid = _n_a_ _hs_y_x = None # numpy 2darray, row-major order _interp2d = None # interp2d interpolation _kind = 3 # order for interp2d, RectBivariateSpline _knots = 0 # nlat * nlon _mean = None # fixed in GeoidKarney # _name = NN # _Named _nBytes = 0 # numpy size in bytes, float64 _pgm = None # PGM attributes, C{_PGM} or C{None} _sizeB = 0 # geoid file size in bytes _smooth = 0 # used only for RectBivariateSpline _stdev = None # fixed in GeoidKarney _lat_d = _0_0 # increment, +tive _lat_lo = _0_0 # lower lat, south _lat_hi = _0_0 # upper lat, noth _lon_d = _0_0 # increment, +tive _lon_lo = _0_0 # left lon, west _lon_hi = _0_0 # right lon, east _lon_of = _0_0 # forward lon offset _lon_og = _0_0 # reverse lon offset _center = None # (lat, lon, height) _yx_hits = None # cache hits, ala Karney def __init__(self, hs, p): '''(INTERNAL) Set up the grid axes, the C{SciPy} interpolator and several internal geoid attributes. @arg hs: Grid knots with known height (C{numpy 2darray}). @arg p: The C{slat, wlon, nlat, nlon, dlat, dlon} and other geoid parameters (C{INTERNAL}). @raise GeoidError: Incompatible grid B{C{hs}} shape or invalid B{C{kind}}. @raise LenError: Mismatch grid B{C{hs}} axis. @raise SciPyError: A C{scipy.interpolate.inter2d} or C{-.RectBivariateSpline} issue. @raise SciPyWarning: A C{scipy.interpolate.inter2d} or C{-.RectBivariateSpline} warning as exception. ''' spi = self.scipy_interpolate # for 2d scipy.interpolate.interp2d(xs, ys, hs, ...) and # scipy.interpolate.RectBivariateSpline(ys, xs, hs, ...) # require the shape of hs to be (len(ys), len(xs)), note # the different (xs, ys, ...) and (ys, xs, ...) orders if (p.nlat, p.nlon) != hs.shape: raise GeoidError(shape=hs.shape, txt=_incompatible((p.nlat, p.nlon))) # both axes and bounding box ys, self._lat_d = self._gaxis2(p.slat, p.dlat, p.nlat, _lat_ + _s_) xs, self._lon_d = self._gaxis2(p.wlon, p.dlon, p.nlon, _lon_ + _s_) bb = ys[0], ys[-1], xs[0], xs[-1] + p.dlon # fudge lon_hi # geoid grids are typically stored in row-major order, some # with rows (90..-90) reversed and columns (0..360) wrapped # to Easten longitude, 0 <= east < 180 and 180 <= west < 360 k = self.kind if k in _interp2d_ks: self._interp2d = spi.interp2d(xs, ys, hs, kind=_interp2d_ks[k]) elif 1 <= k <= 5: self._ev = spi.RectBivariateSpline(ys, xs, hs, bbox=bb, ky=k, kx=k, s=self._smooth).ev else: raise GeoidError(kind=k) self._hs_y_x = hs # numpy 2darray, row-major self._nBytes = hs.nbytes # numpy size in bytes self._knots = p.knots # grid knots self._lon_of = float(p.flon) # forward offset self._lon_og = float(p.glon) # reverse offset # shrink the box by 1 unit on every side # bb += self._lat_d, -self._lat_d, self._lon_d, -self._lon_d self._lat_lo = float(bb[0]) self._lat_hi = float(bb[1]) self._lon_lo = float(bb[2] - p.glon) self._lon_hi = float(bb[3] - p.glon) def __call__(self, *llis): '''Interpolate the geoid height for one or several locations. @arg llis: The location or locations (C{LatLon}, ... or C{LatLon}s). @return: A single interpolated geoid height (C{float}) or a list or tuple of interpolated geoid heights (C{float}s). @raise GeoidError: Insufficient number of B{C{llis}}, an invalid B{C{lli}} or the C{egm*.pgm} geoid file is closed. @raise RangeError: An B{C{lli}} is outside this geoid's lat- or longitude range. @raise SciPyError: A C{scipy.interpolate.inter2d} or C{-.RectBivariateSpline} issue. @raise SciPyWarning: A C{scipy.interpolate.inter2d} or C{-.RectBivariateSpline} warning as exception. ''' return self._called(llis, True) def __enter__(self): '''Open context. ''' return self def __exit__(self, *unused): # PYCHOK exc_type, exc_value, exc_traceback) '''Close context. ''' self.close() # return None # XXX False def __repr__(self): return self.toStr() def __str__(self): return Fmt.PAREN(self.classname, repr(self.name)) def _called(self, llis, scipy): # handle __call__ _as, llis = _allis2(llis, Error=GeoidError) try: hs = [] for i, lli in enumerate(llis): hs.append(self._hGeoid(lli.lat, lli.lon)) return _as(hs) except (GeoidError, RangeError) as x: # XXX avoid str(LatLon()) degree symbols t = _lli_ if _as is _ascalar else Fmt.SQUARE(llis=i) lli = fstr((lli.lat, lli.lon), strepr=repr) raise type(x)(t, lli, txt=str(x)) except Exception as x: if scipy and self.scipy: raise _SciPyIssue(x) else: raise @Property_RO def _center(self): ''' Cache for method L{center}. ''' return self._llh3(favg(self._lat_lo, self._lat_hi), favg(self._lon_lo, self._lon_hi)) def center(self, LatLon=None): '''Return the center location and height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the grid center location. ''' return self._llh3LL(self._center, LatLon) def close(self): '''Close the C{egm*.pgm} geoid file if open (and applicable). ''' if not self.closed: self._egm.close() self._egm = None @property_RO def closed(self): '''Get the C{egm*.pgm} geoid file status. ''' return self._egm is None @Property_RO def cropped(self): '''Is geoid cropped (C{bool} or C{None} if crop not supported). ''' return self._cropped @Property_RO def dtype(self): '''Get the grid C{scipy} U{dtype<https://docs.SciPy.org/doc/numpy/ reference/generated/numpy.ndarray.dtype.html>} (C{numpy.dtype}). ''' return self._hs_y_x.dtype @Property_RO def endian(self): '''Get the geoid endianess and U{dtype<https://docs.SciPy.org/ doc/numpy/reference/generated/numpy.dtype.html>} (C{str}). ''' return self._endian def _ev(self, y, x): # PYCHOK expected # only used for .interpolate.interp2d, but # overwritten for .RectBivariateSpline, # note (y, x) must be flipped! return self._interp2d(x, y) def _gaxis2(self, lo, d, n, name): # build grid axis, hi = lo + (n - 1) * d m, a = len2(frange(lo, n, d)) if m != n: raise LenError(self.__class__, grid=m, **{name: n}) if d < 0: d, a = -d, list(reversed(a)) for i in range(1, m): e = a[i] - a[i-1] if e < EPS: # non-increasing axis i = Fmt.SQUARE(name, i) raise GeoidError(i, e, txt=_non_increasing_) return self.numpy.array(a), d def _g2ll2(self, lat, lon): # PYCHOK no cover notOverloaded(self, lat, lon) def _gyx2g2(self, y, x): # convert grid (y, x) indices to grid (lat, lon) return ((self._lat_lo + self._lat_d * y), (self._lon_lo + self._lon_of + self._lon_d * x)) def height(self, lats, lons): '''Interpolate the geoid height for one or several lat-/longitudes. @arg lats: Latitude or latitudes (C{degrees} or C{degrees}s). @arg lons: Longitude or longitudes (C{degrees} or C{degrees}s). @return: A single interpolated geoid height (C{float}) or a list of interpolated geoid heights (C{float}s). @raise GeoidError: Insufficient or non-matching number of B{C{lats}} and B{C{lons}}. @raise RangeError: A B{C{lat}} or B{C{lon}} is outside this geoid's lat- or longitude range. @raise SciPyError: A C{scipy.interpolate.inter2d} or C{-.RectBivariateSpline} issue. @raise SciPyWarning: A C{scipy.interpolate.inter2d} or C{-.RectBivariateSpline} warning as exception. ''' return _HeightBase._height(self, lats, lons, Error=GeoidError) def _hGeoid(self, lat, lon): out = self.outside(lat, lon) if out: lli = fstr((lat, lon), strepr=repr) raise RangeError(lli=lli, txt=_SPACE_(_outside_, _on_, out)) return float(self._ev(*self._ll2g2(lat, lon))) @Property_RO def _highest(self): '''(INTERNAL) Cache for L{highest} method. ''' return self._llh3minmax(True) def highest(self, LatLon=None, **unused): '''Return the location and largest height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the highest grid location. ''' return self._llh3LL(self._highest, LatLon) @Property_RO def hits(self): '''Get the number of cache hits (C{int} or C{None}). ''' return self._yx_hits @Property_RO def kind(self): '''Get the interpolator kind and order (C{int}). ''' return self._kind @Property_RO def knots(self): '''Get the number of grid knots (C{int}). ''' return self._knots def _ll2g2(self, lat, lon): # PYCHOK no cover notOverloaded(self, lat, lon) def _llh3(self, lat, lon): return LatLon3Tuple(lat, lon, self._hGeoid(lat, lon), name=self.name) def _llh3LL(self, llh, LatLon): return llh if LatLon is None else self._xnamed(LatLon(*llh)) def _llh3minmax(self, highest=True, *unused): hs, np = self._hs_y_x, self.numpy # <https://docs.SciPy.org/doc/numpy/reference/generated/ # numpy.argmin.html#numpy.argmin> arg = np.argmax if highest else np.argmin y, x = np.unravel_index(arg(hs, axis=None), hs.shape) return self._g2ll2(*self._gyx2g2(y, x)) + (float(hs[y, x]),) def _load(self, g, dtype, n, offset=0): # numpy.fromfile, like .frombuffer g.seek(offset, _SEEK_SET) return self.numpy.fromfile(g, dtype, n) @Property_RO def _lowerleft(self): '''(INTERNAL) Cache for L{lowerleft}. ''' return self._llh3(self._lat_lo, self._lon_lo) def lowerleft(self, LatLon=None): '''Return the lower-left location and height of this geoid. @kwarg LatLon: Optional class to return the location (C{LatLon}) and height or C{None}. @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the lower-left, SW grid corner. ''' return self._llh3LL(self._lowerleft, LatLon) @Property_RO def _loweright(self): '''(INTERNAL) Cache for L{loweright}. ''' return self._llh3(self._lat_lo, self._lon_hi) def loweright(self, LatLon=None): '''Return the lower-right location and height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the lower-right, SE grid corner. ''' return self._llh3LL(self._loweright, LatLon) lowerright = loweright # synonymous @Property_RO def _lowest(self): '''(INTERNAL) Cache for L{lowest}. ''' return self._llh3minmax(False) def lowest(self, LatLon=None, **unused): '''Return the location and lowest height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the lowest grid location. ''' return self._llh3LL(self._lowest, LatLon) @Property_RO def mean(self): '''Get the mean of this geoid's heights (C{float}). ''' if self._mean is None: # see GeoidKarney self._mean = float(self.numpy.mean(self._hs_y_x)) return self._mean @property_RO def name(self): '''Get the name of this geoid (C{str}). ''' return _HeightBase.name.fget(self) or self._geoid # recursion @Property_RO def nBytes(self): '''Get the grid in-memory size in bytes (C{int}). ''' return self._nBytes def _open(self, geoid, datum, kind, name, smooth): # open the geoid file try: self._geoid = _os_path.basename(geoid) self._sizeB = _os_path.getsize(geoid) g = open(geoid, _rb_) except (IOError, OSError) as x: raise GeoidError(geoid=geoid, txt=str(x)) if datum not in (None, self._datum): self._datum = _ellipsoidal_datum(datum, name=name) self._kind = int(kind) if name: _HeightBase.name.fset(self, name) # rename if smooth: self._smooth = Int_(smooth=smooth, Error=GeoidError, low=0) return g def outside(self, lat, lon): '''Check whether a location is outside this geoid's lat-/longitude or crop range. @arg lat: The latitude (C{degrees}). @arg lon: The longitude (C{degrees}). @return: A 1- or 2-character C{str} if outside or an empty C{str} if inside. ''' return (_S_ if lat < self._lat_lo else (_N_ if lat > self._lat_hi else NN)) + \ (_W_ if lon < self._lon_lo else (_E_ if lon > self._lon_hi else NN)) @Property_RO def pgm(self): '''Get the PGM attributes (C{_PGM} or C{None} if not available/applicable). ''' return self._pgm @Property_RO def sizeB(self): '''Get the geoid grid file size in bytes (C{int}). ''' return self._sizeB @Property_RO def smooth(self): '''Get the C{RectBivariateSpline} smoothing (C{int}). ''' return self._smooth @Property_RO def stdev(self): '''Get the standard deviation of this geoid's heights (C{float}) or C{None}. ''' if self._stdev is None: # see GeoidKarney self._stdev = float(self.numpy.std(self._hs_y_x)) return self._stdev def _swne(self, crop): # crop box to 4-tuple (s, w, n, e) try: if len(crop) == 2: try: # sw, ne LatLons swne = (crop[0].lat, crop[0].lon, crop[1].lat, crop[1].lon) except AttributeError: # (s, w), (n, e) swne = tuple(crop[0]) + tuple(crop[1]) else: # (s, w, n, e) swne = crop if len(swne) == 4: s, w, n, e = map(float, swne) if -90 <= s <= (n - _1_0) <= 89 and \ -180 <= w <= (e - _1_0) <= 179: return s, w, n, e except (IndexError, TypeError, ValueError): pass raise GeoidError(crop=crop) def toStr(self, prec=3, sep=_COMMASPACE_): # PYCHOK signature '''This geoid and all geoid attributes as a string. @kwarg prec: Optional number of decimal digits (0..9 or C{None} for default). Trailing zero decimals are stripped for B{C{prec}} values of 1 and above, but kept for negative B{C{prec}} values. @kwarg sep: Optional separator (C{str}). @return: Geoid name and attributes (C{str}). ''' s = 1 if self.kind < 0 else 2 t = tuple(Fmt.PAREN(m.__name__, fstr(m(), prec=prec)) for m in (self.lowerleft, self.upperright, self.center, self.highest, self.lowest)) + \ attrs( _mean_, _stdev_, prec=prec, Nones=False) + \ attrs((_kind_, 'smooth')[:s], prec=prec, Nones=False) + \ attrs( 'cropped', 'dtype', _endian_, 'hits', _knots_, 'nBytes', 'sizeB', _scipy_, _numpy_, prec=prec, Nones=False) return _COLONSPACE_(self, sep.join(t)) @Property_RO def _upperleft(self): '''(INTERNAL) Cache for method L{upperleft}. ''' return self._llh3(self._lat_hi, self._lon_lo) def upperleft(self, LatLon=None): '''Return the upper-left location and height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the upper-left, NW grid corner. ''' return self._llh3LL(self._upperleft, LatLon) @Property_RO def _upperright(self): '''(INTERNAL) Cache for method L{upperright}. ''' return self._llh3(self._lat_hi, self._lon_hi) def upperright(self, LatLon=None): '''Return the upper-right location and height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the upper-right, NE grid corner. ''' return self._llh3LL(self._upperright, LatLon) class GeoidError(HeightError): '''Geoid interpolator C{Geoid...} or interpolation issue. ''' pass class GeoidG2012B(_GeoidBase): '''Geoid height interpolator for U{GEOID12B Model <https://www.NGS.NOAA.gov/GEOID/GEOID12B/>} grids U{CONUS <https://www.NGS.NOAA.gov/GEOID/GEOID12B/GEOID12B_CONUS.shtml>}, U{Alaska<https://www.NGS.NOAA.gov/GEOID/GEOID12B/GEOID12B_AK.shtml>}, U{Hawaii<https://www.NGS.NOAA.gov/GEOID/GEOID12B/GEOID12B_HI.shtml>}, U{Guam and Northern Mariana Islands <https://www.NGS.NOAA.gov/GEOID/GEOID12B/GEOID12B_GMNI.shtml>}, U{Puerto Rico and U.S. Virgin Islands <https://www.NGS.NOAA.gov/GEOID/GEOID12B/GEOID12B_PRVI.shtml>} and U{American Samoa<https://www.NGS.NOAA.gov/GEOID/GEOID12B/GEOID12B_AS.shtml>} based on C{SciPy} U{RectBivariateSpline<https://docs.SciPy.org/doc/ scipy/reference/generated/scipy.interpolate.RectBivariateSpline.html>} or U{interp2d<https://docs.SciPy.org/doc/scipy/reference/generated/ scipy.interpolate.interp2d.html>} interpolation. Use any of the binary C{le} (little endian) or C{be} (big endian) C{g2012b*.bin} grid files. ''' def __init__(self, g2012b_bin, crop=None, datum=None, # NAD 83 Ellipsoid kind=3, name=NN, smooth=0): '''New L{GeoidG2012B} interpolator. @arg g2012b_bin: A C{GEOID12B} grid file name (C{.bin}). @kwarg crop: Optional crop box, not supported (C{None}). @kwarg datum: Optional grid datum (L{Datum}, L{Ellipsoid}, L{Ellipsoid2} or L{a_f2Tuple}), default C{WGS84}. @kwarg kind: C{scipy.interpolate} order (C{int}), use 1..5 for U{RectBivariateSpline<https://docs.SciPy.org/doc/scipy/ reference/generated/scipy.interpolate.RectBivariateSpline.html>}, -2 for U{interp2d linear<https://docs.SciPy.org/doc/scipy/ reference/generated/scipy.interpolate.interp2d.html>}, -3 for C{interp2d cubic} or -5 for C{interp2d quintic}. @kwarg name: Optional geoid name (C{str}). @kwarg smooth: Smoothing factor for U{RectBivariateSpline <https://docs.SciPy.org/doc/scipy/reference/generated/ scipy.interpolate.RectBivariateSpline.html>} only (C{int}). @raise GeoidError: G2012B grid file B{C{g2012b_bin}} issue or invalid B{C{crop}}, B{C{kind}} or B{C{smooth}}. @raise ImportError: Package C{numpy} or C{scipy} not found or not installed. @raise LenError: Grid file B{C{g2012b_bin}} axis mismatch. @raise SciPyError: A C{RectBivariateSpline} or C{inter2d} issue. @raise SciPyWarning: A C{RectBivariateSpline} or C{inter2d} warning as exception. @raise TypeError: Invalid B{C{datum}}. ''' if crop is not None: raise GeoidError(crop=crop, txt=_not_(_supported_)) g = self._open(g2012b_bin, datum, kind, name, smooth) _ = self.numpy # import numpy for ._load and try: p = _Gpars() n = (self.sizeB // 4) - 11 # number of f4 heights # U{numpy dtype formats are different from Python struct formats # <https://docs.SciPy.org/doc/numpy-1.15.0/reference/arrays.dtypes.html>} for en_ in ('<', '>'): # skip 4xf8, get 3xi4 p.nlat, p.nlon, ien = map(int, self._load(g, en_+'i4', 3, 32)) if ien == 1: # correct endian p.knots = p.nlat * p.nlon if p.knots == n and 1 < p.nlat < n \ and 1 < p.nlon < n: self._endian = en_+'f4' break else: # couldn't validate endian raise GeoidError(_endian_) # get the first 4xf8 p.slat, p.wlon, p.dlat, p.dlon = map(float, self._load(g, en_+'f8', 4)) # read all f4 heights, ignoring the first 4xf8 and 3xi4 hs = self._load(g, self._endian, n, 44).reshape(p.nlat, p.nlon) p.wlon -= _360_0 # western-most East longitude to earth (..., lon) _GeoidBase.__init__(self, hs, p) except Exception as x: raise _SciPyIssue(x, _in_, repr(g2012b_bin)) finally: g.close() def _g2ll2(self, lat, lon): # convert grid (lat, lon) to earth (lat, lon) return lat, lon def _ll2g2(self, lat, lon): # convert earth (lat, lon) to grid (lat, lon) return lat, lon if _FOR_DOCS: __call__ = _GeoidBase.__call__ height = _GeoidBase.height class GeoidHeight5Tuple(_NamedTuple): # .geoids.py '''5-Tuple C{(lat, lon, egm84, egm96, egm2008)} for U{GeoidHeights.dat <https://SourceForge.net/projects/geographiclib/files/testdata/>} tests with the heights for 3 different EGM grids at C{degrees90} and C{degrees180} degrees (after converting C{lon} from original C{0 <= EasterLon <= 360}). ''' _Names_ = (_lat_, _lon_, 'egm84', 'egm96', 'egm2008') _Units_ = ( Lat, Lon, Height, Height, Height) def _I(i): '''(INTERNAL) Cache a single C{int} constant. ''' return _intCs.setdefault(i, i) # PYCHOK undefined due to del _intCs def _T(*cs): '''(INTERNAL) Cache a tuple of single C{int} constants. ''' return map1(_I, *cs) class GeoidKarney(_GeoidBase): '''Geoid height interpolator for I{Karney}'s U{GeographicLib Earth Gravitational Model (EGM)<https://GeographicLib.SourceForge.io/html/ geoid.html>} geoid U{egm*.pgm<https://GeographicLib.SourceForge.io/ html/geoid.html#geoidinst>} datasets using bilinear or U{cubic <https://dl.ACM.org/citation.cfm?id=368443>} interpolation and U{caching <https://GeographicLib.SourceForge.io/html/geoid.html#geoidcache>} in pure Python, transcoded from I{Karney}'s U{C++ class Geoid <https://GeographicLib.SourceForge.io/html/geoid.html#geoidinterp>}. Use any of the geoid U{egm84-, egm96- or egm2008-*.pgm <https://GeographicLib.SourceForge.io/html/geoid.html#geoidinst>} datasets. ''' _C0 = _F(372), _F(240), _F(372) # n, _ and s common denominators # matrices c3n_, c3, c3s_, transposed from GeographicLib/Geoid.cpp _C3 = ((_T(0, 0, 62, 124, 124, 62, 0, 0, 0, 0, 0, 0), _T(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), _T(-131, 7, -31, -62, -62, -31, 45, 216, 156, -45, -55, -7), _T(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), _T(138, -138, 0, 0, 0, 0, -183, 33, 153, -3, 48, -48), # PYCHOK indent _T(144, 42, -62, -124, -124, -62, -9, 87, 99, 9, 42, -42), _T(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), _T(0, 0, 0, 0, 0, 0, 93, -93, -93, 93, 0, 0), _T(-102, 102, 0, 0, 0, 0, 18, 12, -12, -18, -84, 84), _T(-31, -31, 31, 62, 62, 31, 0, -93, -93, 0, 31, 31)), # PYCHOK indent (_T(9, -9, 9, 186, 54, -9, -9, 54, -54, 9, -9, 9), _T(-18, 18, -88, -42, 162, -32, 8, -78, 78, -8, 18, -18), _T(-88, 8, -18, -42, -78, 18, 18, 162, 78, -18, -32, -8), _T(0, 0, 90, -150, 30, 30, 30, -90, 90, -30, 0, 0), _T(96, -96, 96, -96, -24, 24, -96, -24, 144, -24, 24, -24), # PYCHOK indent _T(90, 30, 0, -150, -90, 0, 0, 30, 90, 0, 30, -30), _T(0, 0, -20, 60, -60, 20, -20, 60, -60, 20, 0, 0), _T(0, 0, -60, 60, 60, -60, 60, -60, -60, 60, 0, 0), _T(-60, 60, 0, 60, -60, 0, 0, 60, -60, 0, -60, 60), _T(-20, -20, 0, 60, 60, 0, 0, -60, -60, 0, 20, 20)), (_T(18, -18, 36, 210, 162, -36, 0, 0, 0, 0, -18, 18), # PYCHOK indent _T(-36, 36, -165, 45, 141, -21, 0, 0, 0, 0, 36, -36), _T(-122, -2, -27, -111, -75, 27, 62, 124, 124, 62, -64, 2), _T(0, 0, 93, -93, -93, 93, 0, 0, 0, 0, 0, 0), _T(120, -120, 147, -57, -129, 39, 0, 0, 0, 0, 66, -66), # PYCHOK indent _T(135, 51, -9, -192, -180, 9, 31, 62, 62, 31, 51, -51), _T(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), _T(0, 0, -93, 93, 93, -93, 0, 0, 0, 0, 0, 0), _T(-84, 84, 18, 12, -12, -18, 0, 0, 0, 0, -102, 102), _T(-31, -31, 0, 93, 93, 0, -31, -62, -62, -31, 31, 31))) _BT = (_T(0, 0), # bilinear 4-tuple [i, j] indices _T(1, 0), _T(0, 1), _T(1, 1)) _CM = (_T( 0, -1), # 10x12 cubic matrix [i, j] indices _T( 1, -1), _T(-1, 0), _T( 0, 0), _T( 1, 0), _T( 2, 0), _T(-1, 1), _T( 0, 1), _T( 1, 1), _T( 2, 1), _T( 0, 2), _T( 1, 2)) _endian = '>H' # struct.unpack 1 ushort (big endian, unsigned short) _4endian = '>4H' # struct.unpack 4 ushorts _Rendian = NN # struct.unpack a row of ushorts # _highest = (-8.4, 147.367, 85.839) if egm2008-1.pgm else ( # (-8.167, 147.25, 85.422) if egm96-5.pgm else # (-4.5, 148.75, 81.33)) # egm84-15.pgm # _lowest = (4.7, 78.767, -106.911) if egm2008-1.pgm else ( # (4.667, 78.833, -107.043) if egm96-5.pgm else # (4.75, 79.25, -107.34)) # egm84-15.pgm _mean = _F(-1.317) # from egm2008-1, -1.438 egm96-5, -0.855 egm84-15 _nBytes = None # not applicable _nterms = len(_C3[0]) # columns length, number of row _smooth = None # not applicable _stdev = _F(29.244) # from egm2008-1, 29.227 egm96-5, 29.183 egm84-15 _u2B = _calcsize(_endian) # pixelsize_ in bytes _4u2B = _calcsize(_4endian) # 4 pixelsize_s in bytes _Ru2B = 0 # row of pixelsize_s in bytes _yxH = () # cache (y, x) indices _yxHt = () # cached 4- or 10-tuple for _ev2H resp. _ev3H _yx_hits = 0 # cache hits def __init__(self, egm_pgm, crop=None, datum=None, # WGS84 kind=3, name=NN, smooth=None): '''New L{GeoidKarney} interpolator. @arg egm_pgm: An U{EGM geoid dataset<https://GeographicLib.SourceForge.io/ html/geoid.html#geoidinst>} file name (C{egm*.pgm}), see note below. @kwarg crop: Optional box to limit geoid locations, a 4-tuple (C{south, west, north, east}), 2-tuple (C{(south, west), (north, east)}) or 2, in C{degrees90} lat- and C{degrees180} longitudes or a 2-tuple (C{LatLonSW, LatLonNE}) of C{LatLon} instances. @kwarg datum: Optional grid datum (C{Datum}, L{Ellipsoid}, L{Ellipsoid2} or L{a_f2Tuple}), default C{WGS84}. @kwarg kind: Interpolation order (C{int}), 2 for C{bilinear} or 3 for C{cubic}. @kwarg name: Optional geoid name (C{str}). @kwarg smooth: Smoothing factor, unsupported (C{None}). @raise GeoidError: EGM dataset B{C{egm_pgm}} issue or invalid B{C{crop}}, B{C{kind}} or B{C{smooth}}. @raise TypeError: Invalid B{C{datum}}. @see: Class L{GeoidPGM} and function L{egmGeoidHeights}. @note: Geoid file B{C{egm_pgm}} remains open and must be closed by calling the C{close} method or by using this instance in a C{with B{GeoidKarney}(...) as ...} context. ''' if smooth is not None: raise GeoidError(smooth=smooth, txt=_not_(_supported_)) if kind in (2,): self._evH = self._ev2H elif kind not in (3,): raise GeoidError(kind=kind) self._egm = g = self._open(egm_pgm, datum, kind, name, smooth) self._pgm = p = _PGM(g, pgm=egm_pgm, itemsize=self.u2B, sizeB=self.sizeB) self._Rendian = self._4endian.replace(_4_, str(p.nlon)) self._Ru2B = _calcsize(self._Rendian) self._knots = p.knots # grid knots self._lon_of = float(p.flon) # forward offset self._lon_og = float(p.glon) # reverse offset # set earth (lat, lon) limits (s, w, n, e) self._lat_lo, \ self._lon_lo, \ self._lat_hi, \ self._lon_hi = self._swne(crop if crop else p.crop4) self._cropped = True if crop else False def __call__(self, *llis): '''Interpolate the geoid height for one or several locations. @arg llis: The location or locations (C{LatLon}, ... or C{LatLon}s). @return: A single interpolated geoid height (C{float}) or a list or tuple of interpolated geoid heights (C{float}s). @raise GeoidError: Insufficient number of B{C{llis}}, an invalid B{C{lli}} or the C{egm*.pgm} geoid file is closed. @raise RangeError: An B{C{lli}} is outside this geoid's lat- or longitude range. ''' return self._called(llis, False) def _c0c3v(self, y, x): # get the common denominator, the 10x12 cubic matrix and # the 12 cubic v-coefficients around geoid index (y, x) p = self._pgm if 0 < x < (p.nlon - 2) and 0 < y < (p.nlat - 2): # read 4x4 ushorts, drop the 4 corners g = self._egm e = self._4endian n = self._4u2B R = self._Ru2B b = self._seek(y - 1, x - 1) v = _unpack(e, g.read(n))[1:3] b += R g.seek(b, _SEEK_SET) v += _unpack(e, g.read(n)) b += R g.seek(b, _SEEK_SET) v += _unpack(e, g.read(n)) b += R g.seek(b, _SEEK_SET) v += _unpack(e, g.read(n))[1:3] j = 1 else: # likely some wrapped y and/or x's v = self._raws(y, x, GeoidKarney._CM) j = 0 if y < 1 else (1 if y < (p.nlat - 2) else 2) return GeoidKarney._C0[j], GeoidKarney._C3[j], v @Property_RO def dtype(self): '''Get the geoid's grid data type (C{str}). ''' return 'ushort' def _ev(self, lat, lon): # PYCHOK expected # interpolate the geoid height at grid (lat, lon) fy, fx = self._g2yx2(lat, lon) y, x = int(floor(fy)), int(floor(fx)) fy -= y fx -= x H = self._evH(fy, fx, y, x) # ._ev3H or ._ev2H H *= self._pgm.Scale # H.fmul(self._pgm.Scale) H += self._pgm.Offset # H.fadd(self._pgm.Offset) return H.fsum() def _ev2H(self, fy, fx, *yx): # compute the bilinear 4-tuple and interpolate raw H if self._yxH == yx: t = self._yxHt self._yx_hits += 1 else: y, x = self._yxH = yx self._yxHt = t = self._raws(y, x, GeoidKarney._BT) v = _1_0, -fx, fx H = Fdot(v, t[0], t[0], t[1]) # a H -= H * fy # c = (1 - fy) * a H += Fdot(v, t[2], t[2], t[3]) * fy # c += b * fy return H def _ev3H(self, fy, fx, *yx): # compute the cubic 10-tuple and interpolate raw H if self._yxH == yx: t = self._yxHt self._yx_hits += 1 else: self._yxH = yx c0, c3, v = self._c0c3v(*yx) t = [fdot(v, *c3[i]) / c0 for i in range(self._nterms)] self._yxHt = t = tuple(t) # GeographicLib/Geoid.cpp Geoid::height(lat, lon) ... # real h = t[0] + fx * (t[1] + fx * (t[3] + fx * t[6])) + # fy * (t[2] + fx * (t[4] + fx * t[7]) + # fy * (t[5] + fx * t[8] + fy * t[9])); v = _1_0, fx, fy H = Fdot(v, t[5], t[8], t[9]) H *= fy H += Fhorner(fx, t[2], t[4], t[7]) H *= fy H += Fhorner(fx, t[0], t[1], t[3], t[6]) return H _evH = _ev3H # overriden for kind == 2 def _g2ll2(self, lat, lon): # convert grid (lat, lon) to earth (lat, lon), uncropped while lon > _180_0: lon -= _360_0 return lat, lon def _g2yx2(self, lat, lon): # convert grid (lat, lon) to grid (y, x) indices p = self._pgm # note, slat = +90, rlat < 0 makes y >=0 return ((lat - p.slat) * p.rlat), ((lon - p.wlon) * p.rlon) def _gyx2g2(self, y, x): # convert grid (y, x) indices to grid (lat, lon) p = self._pgm return (p.slat + p.dlat * y), (p.wlon + p.dlon * x) def height(self, lats, lons): '''Interpolate the geoid height for one or several lat-/longitudes. @arg lats: Latitude or latitudes (C{degrees} or C{degrees}s). @arg lons: Longitude or longitudes (C{degrees} or C{degrees}s). @return: A single interpolated geoid height (C{float}) or a list of interpolated geoid heights (C{float}s). @raise GeoidError: Insufficient or non-matching number of B{C{lats}} and B{C{lons}} or the C{egm*.pgm} geoid file is closed. @raise RangeError: A B{C{lat}} or B{C{lon}} is outside this geoid's lat- or longitude range. ''' return _HeightBase._height(self, lats, lons, Error=GeoidError) @Property_RO def _highest_ltd(self): '''(INTERNAL) Cache for L{highest} mesthod. ''' return self._llh3minmax(True, -12, -4) def highest(self, LatLon=None, full=False): # PYCHOK full '''Return the location and largest height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @kwarg full: Search the full or limited latitude range (C{bool}). @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the highest grid location. ''' llh = self._highest if full or self.cropped else self._highest_ltd return self._llh3LL(llh, LatLon) def _lat2y2(self, lat2): # convert earth lat(s) to min and max grid y indices ys, m = [], self._pgm.nlat - 1 for lat in lat2: y, _ = self._g2yx2(*self._ll2g2(lat, 0)) ys.append(max(min(int(y), m), 0)) return min(ys), max(ys) + 1 def _ll2g2(self, lat, lon): # convert earth (lat, lon) to grid (lat, lon), uncropped while lon < 0: lon += _360_0 return lat, lon def _llh3minmax(self, highest=True, *lat2): # find highest or lowest, takes 10+ secs for egm2008-1.pgm geoid # (Python 2.7.16, macOS 10.13.6 High Sierra, iMac 3 GHz Core i3) y = x = 0 h = self._raw(y, x) if highest: for j, r in self._raw2(*lat2): m = max(r) if m > h: h, y, x = m, j, r.index(m) else: # lowest for j, r in self._raw2(*lat2): m = min(r) if m < h: h, y, x = m, j, r.index(m) h *= self._pgm.Scale h += self._pgm.Offset return self._g2ll2(*self._gyx2g2(y, x)) + (h,) @Property_RO def _lowest_ltd(self): '''(INTERNAL) Cache for L{lowest}. ''' return self._llh3minmax(False, 0, 8) def lowest(self, LatLon=None, full=False): # PYCHOK full '''Return the location and lowest height of this geoid. @kwarg LatLon: Optional class to return the location and height (C{LatLon}) or C{None}. @kwarg full: Search the full or limited latitude range (C{bool}). @return: If B{C{LatLon}} is C{None}, a L{LatLon3Tuple}C{(lat, lon, height)} otherwise a B{C{LatLon}} instance with the lat-, longitude and height of the lowest grid location. ''' llh = self._lowest if full or self.cropped else self._lowest_ltd return self._llh3LL(llh, LatLon) def _raw(self, y, x): # get the ushort geoid height at geoid index (y, x), # like GeographicLib/Geoid.hpp real rawval(is, iy) p = self._pgm if x < 0: x += p.nlon elif x >= p.nlon: x -= p.nlon h = p.nlon // 2 if y < 0: y = -y elif y >= p.nlat: y = (p.nlat - 1) * 2 - y else: h = 0 x += h if x < h else -h self._seek(y, x) h = _unpack(self._endian, self._egm.read(self._u2B)) return h[0] def _raws(self, y, x, ijs): # get bilinear 4-tuple or 10x12 cubic matrix return tuple(self._raw(y + j, x + i) for i, j in ijs) def _raw2(self, *lat2): # yield a 2-tuple (y, ushorts) for each row or for # the rows between two (or more) earth lat values p = self._pgm g = self._egm e = self._Rendian n = self._Ru2B # min(lat2) <= lat <= max(lat2) or 0 <= y < p.nlat s, t = self._lat2y2(lat2) if lat2 else (0, p.nlat) self._seek(s, 0) # to start of row s for y in range(s, t): yield y, _unpack(e, g.read(n)) def _seek(self, y, x): # position geoid to grid index (y, x) p, g = self._pgm, self._egm if g: b = p.skip + (y * p.nlon + x) * self._u2B g.seek(b, _SEEK_SET) return b # position raise GeoidError('closed file: %r' % (p.egm,)) # IOError @Property_RO def u2B(self): '''Get the PGM itemsize in bytes (C{int}). ''' return self._u2B class GeoidPGM(_GeoidBase): '''Geoid height interpolator for I{Karney}'s U{GeographicLib Earth Gravitational Model (EGM)<https://GeographicLib.SourceForge.io/html/ geoid.html>} geoid U{egm*.pgm<https://GeographicLib.SourceForge.io/ html/geoid.html#geoidinst>} datasets but based on C{SciPy} U{RectBivariateSpline<https://docs.SciPy.org/doc/scipy/reference/ generated/scipy.interpolate.RectBivariateSpline.html>} or U{interp2d<https://docs.SciPy.org/doc/scipy/reference/generated/ scipy.interpolate.interp2d.html>} interpolation. Use any of the U{egm84-, egm96- or egm2008-*.pgm <https://GeographicLib.SourceForge.io/html/geoid.html#geoidinst>} datasets. However, unless cropped, an entire C{egm*.pgm} dataset is loaded into the C{SciPy} U{RectBivariateSpline<https://docs.SciPy.org/ doc/scipy/reference/generated/scipy.interpolate.RectBivariateSpline.html>} or U{interp2d<https://docs.SciPy.org/doc/scipy/reference/generated/ scipy.interpolate.interp2d.html>} interpolator and converted from 2-byte C{int} to 8-byte C{dtype float64}. Therefore, internal memory usage is 4x the U{egm*.pgm<https://GeographicLib.SourceForge.io/html/ geoid.html#geoidinst>} file size and may exceed the available memory, especially with 32-bit Python, see properties C{.nBytes} and C{.sizeB}. ''' _endian = '>u2' _u2B = 0 # np.itemsize def __init__(self, egm_pgm, crop=None, datum=None, # WGS84 kind=3, name=NN, smooth=0): '''New L{GeoidPGM} interpolator. @arg egm_pgm: An U{EGM geoid dataset<https://GeographicLib.SourceForge.io/ html/geoid.html#geoidinst>} file name (C{egm*.pgm}). @kwarg crop: Optional box to crop B{C{egm_pgm}}, a 4-tuple (C{south, west, north, east}) or 2-tuple (C{(south, west), (north, east)}), in C{degrees90} lat- and C{degrees180} longitudes or a 2-tuple (C{LatLonSW, LatLonNE}) of C{LatLon} instances. @kwarg datum: Optional grid datum (L{Datum}, L{Ellipsoid}, L{Ellipsoid2} or L{a_f2Tuple}), default C{WGS84}. @kwarg kind: C{scipy.interpolate} order (C{int}), use 1..5 for U{RectBivariateSpline<https://docs.SciPy.org/doc/scipy/ reference/generated/scipy.interpolate.RectBivariateSpline.html>}, -2 for U{interp2d linear<https://docs.SciPy.org/doc/scipy/ reference/generated/scipy.interpolate.interp2d.html>}, -3 for C{interp2d cubic} or -5 for C{interp2d quintic}. @kwarg name: Optional geoid name (C{str}). @kwarg smooth: Smoothing factor for U{RectBivariateSpline <https://docs.SciPy.org/doc/scipy/reference/generated/ scipy.interpolate.RectBivariateSpline.html>} only (C{int}). @raise GeoidError: EGM dataset B{C{egm_pgm}} issue or invalid B{C{crop}}, B{C{kind}} or B{C{smooth}}. @raise ImportError: Package C{numpy} or C{scipy} not found or not installed. @raise LenError: EGM dataset B{C{egm_pgm}} axis mismatch. @raise SciPyError: A C{RectBivariateSpline} or C{inter2d} issue. @raise SciPyWarning: A C{RectBivariateSpline} or C{inter2d} warning as exception. @raise TypeError: Invalid B{C{datum}}. @note: The U{GeographicLib egm*.pgm<https://GeographicLib.SourceForge.io/ html/geoid.html#geoidinst>} file sizes are based on a 2-byte C{int} height converted to 8-byte C{dtype float64} for C{scipy} interpolators. Therefore, internal memory usage is 4 times the C{egm*.pgm} file size and may exceed the available memory, especially with 32-bit Python. To reduce memory usage, set keyword argument B{C{crop}} to the region of interest. For example C{B{crop}=(20, -125, 50, -65)} covers the U{conterminous US<https:// www.NGS.NOAA.gov/GEOID/GEOID12B/maps/GEOID12B_CONUS_grids.png>} (CONUS), less than 3% of the entire C{egm2008-1.pgm} dataset. @see: Class L{GeoidKarney} and function L{egmGeoidHeights}. ''' np = self.numpy self._u2B = np.dtype(self.endian).itemsize g = self._open(egm_pgm, datum, kind, name, smooth) self._pgm = p = _PGM(g, pgm=egm_pgm, itemsize=self.u2B, sizeB=self.sizeB) if crop: g = p._cropped(g, abs(kind) + 1, *self._swne(crop)) self._g2ll2 = self._g2ll2_cropped self._ll2g2 = self._ll2g2_cropped if map2(int, np.__version__.split(_DOT_)[:2]) < (1, 9): g = open(g.name, _rb_) # reopen tempfile for numpy 1.8.0- self._cropped = True else: self._cropped = False try: # U{numpy dtype formats are different from Python struct formats # <https://docs.SciPy.org/doc/numpy-1.15.0/reference/arrays.dtypes.html>} # read all heights, skipping the PGM header lines, converted to float hs = self._load(g, self.endian, p.knots, p.skip).reshape(p.nlat, p.nlon) * p.Scale if p.Offset: # offset hs = p.Offset + hs if p.dlat < 0: # flip the rows hs = np.flipud(hs) _GeoidBase.__init__(self, hs, p) except Exception as x: raise _SciPyIssue(x, _in_, repr(egm_pgm)) finally: g.close() def _g2ll2(self, lat, lon): # convert grid (lat, lon) to earth (lat, lon), uncropped while lon > _180_0: lon -= _360_0 return lat, lon def _g2ll2_cropped(self, lat, lon): # convert cropped grid (lat, lon) to earth (lat, lon) return lat, lon - self._lon_og def _ll2g2(self, lat, lon): # convert earth (lat, lon) to grid (lat, lon), uncropped while lon < 0: lon += _360_0 return lat, lon def _ll2g2_cropped(self, lat, lon): # convert earth (lat, lon) to cropped grid (lat, lon) return lat, lon + self._lon_of if _FOR_DOCS: __call__ = _GeoidBase.__call__ height = _GeoidBase.height @Property_RO def u2B(self): '''Get the PGM itemsize in bytes (C{int}). ''' return self._u2B class _Gpars(_Named): '''(INTERNAL) Basic geoid parameters. ''' # interpolator parameters dlat = 0 # +/- latitude resolution in C{degrees} dlon = 0 # longitude resolution in C{degrees} nlat = 1 # number of latitude knots (C{int}) nlon = 0 # number of longitude knots (C{int}) rlat = 0 # +/- latitude resolution in C{float}, 1 / .dlat rlon = 0 # longitude resolution in C{float}, 1 / .dlon slat = 0 # nothern- or southern most latitude (C{degrees90}) wlon = 0 # western-most longitude in Eastern lon (C{degrees360}) flon = 0 # forward, earth to grid longitude offset glon = 0 # reverse, grid to earth longitude offset knots = 0 # number of knots, nlat * nlon (C{int}) skip = 0 # header bytes to skip (C{int}) def __repr__(self): t = _COMMASPACE_.join(pairs((a, getattr(self, a)) for a in dir(self.__class__) if a[:1].isupper())) return _COLONSPACE_(self, t) def __str__(self): return Fmt.PAREN(self.classname, repr(self.name)) class _PGM(_Gpars): '''(INTERNAL) Parse an C{egm*.pgm} geoid dataset file. # Geoid file in PGM format for the GeographicLib::Geoid class # Description WGS84 EGM96, 5-minute grid # URL https://Earth-Info.NGA.mil/GandG/wgs84/gravitymod/egm96/egm96.html # DateTime 2009-08-29 18:45:03 # MaxBilinearError 0.140 # RMSBilinearError 0.005 # MaxCubicError 0.003 # RMSCubicError 0.001 # Offset -108 # Scale 0.003 # Origin 90N 0E # AREA_OR_POINT Point # Vertical_Datum WGS84 <width> <height> <pixel> ... ''' crop4 = () # 4-tuple (C{south, west, north, east}). egm = None glon = 180 # reverse offset, uncropped # pgm = NN # name sizeB = 0 u2B = 2 # item size of grid height (C{int}). @staticmethod def _llstr2floats(latlon): # llstr to (lat, lon) floats lat, lon = latlon.split() return parseDMS2(lat, lon) # PGM file attributes, CamelCase but not .istitle() AREA_OR_POINT = str DateTime = str Description = str # 'WGS84 EGM96, 5-minute grid' Geoid = str # 'file in PGM format for the GeographicLib::Geoid class' MaxBilinearError = float MaxCubicError = float Offset = float Origin = _llstr2floats Pixel = 0 RMSBilinearError = float RMSCubicError = float Scale = float URL = str # 'https://Earth-Info.NGA.mil/GandG/wgs84/...' Vertical_Datum = str def __init__(self, g, pgm=NN, itemsize=0, sizeB=0): # MCCABE 22 '''(INTERNAL) New C{_PGM} parsed C{egm*.pgm} geoid dataset. ''' self.name = pgm # geoid file name if itemsize: self._u2B = itemsize if sizeB: self.sizeB = sizeB t = g.readline() # make sure newline == '\n' if t != b'P5\n' and t.strip() != b'P5': raise self._Errorf(_format_, _header_, t) while True: # read all # Attr ... lines, try: # ignore empty ones or comments t = g.readline().strip() if t.startswith(_bHASH_): t = t.lstrip(_bHASH_).lstrip() a, v = map(_ub2str, t.split(None, 1)) f = getattr(_PGM, a, None) if callable(f) and a[:1].isupper(): setattr(self, a, f(v)) elif t: break except (TypeError, ValueError): raise self._Errorf(_format_, 'Attr', t) else: # should never get here raise self._Errorf(_format_, _header_, g.tell()) try: # must be (even) width and (odd) height nlon, nlat = map(int, t.split()) if nlon < 2 or nlon > (360 * 60) or isodd(nlon) or \ nlat < 2 or nlat > (181 * 60) or not isodd(nlat): raise ValueError except (TypeError, ValueError): raise self._Errorf(_format_, _SPACE_(_width_, _height_), t) try: # must be 16 bit pixel height t = g.readline().strip() self.Pixel = int(t) if not 255 < self.Pixel < 65536: # >u2 or >H only raise ValueError except (TypeError, ValueError): raise self._Errorf(_format_, 'pixel', t) for a in dir(_PGM): # set undefined # Attr ... to None if a[:1].isupper() and callable(getattr(self, a)): setattr(self, a, None) if self.Origin is None: raise self._Errorf(_format_, 'Origin', self.Origin) if self.Offset is None or self.Offset > 0: raise self._Errorf(_format_, 'Offset', self.Offset) if self.Scale is None or self.Scale < EPS: raise self._Errorf(_format_, 'Scale', self.Scale) self.skip = g.tell() self.knots = nlat * nlon self.nlat, self.nlon = nlat, nlon self.slat, self.wlon = self.Origin # note, negative .dlat and .rlat since rows # are from .slat 90N down in decreasing lat self.dlat, self.dlon = _180_0 / (1 - nlat), _360_0 / nlon self.rlat, self.rlon = (1 - nlat) / _180_0, nlon / _360_0 # grid corners in earth (lat, lon), .slat = 90, .dlat < 0 n = float(self.slat) s = n + self.dlat * (nlat - 1) w = self.wlon - self.glon e = w + self.dlon * nlon self.crop4 = s, w, n, e n = self.sizeB - self.skip if n > 0 and n != (self.knots * self.u2B): raise self._Errorf('%s(%s x %s != %s)', _assert_, nlat, nlon, n) def _cropped(self, g, k1, south, west, north, east): # MCCABE 15 '''Crop the geoid to (south, west, north, east) box. ''' # flon offset for both west and east f = 360 if west < 0 else 0 # earth (lat, lon) to grid indices (y, x), # note y is decreasing, i.e. n < s s, w = self._lle2yx2(south, west, f) n, e = self._lle2yx2(north, east, f) s += 1 # s > n e += 1 # e > w hi, wi = self.nlat, self.nlon # handle special cases if (s - n) > hi: n, s = 0, hi # entire lat range if (e - w) > wi: w, e, f = 0, wi, 180 # entire lon range if s == hi and w == n == 0 and e == wi: return g # use entire geoid as-is if (e - w) < k1 or (s - n) < (k1 + 1): raise self._Errorf(_format_, 'swne', (north - south, east - west)) if e > wi > w: # wrap around # read w..wi and 0..e r, p = (wi - w), (e - wi) elif e > w: r, p = (e - w), 0 else: raise self._Errorf('%s(%s < %s)', _assert_, w, e) # convert to bytes r *= self.u2B p *= self.u2B q = wi * self.u2B # stride # number of rows and cols to skip from # the original (.slat, .wlon) origin z = self.skip + (n * wi + w) * self.u2B # sanity check if r < 2 or p < 0 or q < 2 or z < self.skip \ or z > self.sizeB: raise self._Errorf(_format_, _assert_, (r, p, q, z)) # can't use _BytesIO since numpy # needs .fileno attr in .fromfile t, c = 0, self._tmpfile() # reading (s - n) rows, forward for y in range(n, s): # PYCHOK y unused g.seek(z, _SEEK_SET) # Python 2 tmpfile.write returns None t += c.write(g.read(r)) or r if p: # wrap around to start of row g.seek(-q, _SEEK_CUR) # assert(g.tell() == (z - w * self.u2B)) # Python 2 tmpfile.write returns None t += c.write(g.read(p)) or p z += q c.flush() g.close() s -= n # nlat e -= w # nlon k = s * e # knots z = k * self.u2B if t != z: raise self._Errorf('%s(%s != %s) %s', _assert_, t, z, self) # update the _Gpars accordingly, note attributes # .dlat, .dlon, .rlat and .rlon remain unchanged self.slat += n * self.dlat self.wlon += w * self.dlon self.nlat = s self.nlon = e self.flon = self.glon = f self.crop4 = south, west, north, east self.knots = k self.skip = 0 # no header lines in c c.seek(0, _SEEK_SET) # c = open(c.name, _rb_) # reopen for numpy 1.8.0- return c def _Errorf(self, fmt, *args): # PYCHOK no cover t = fmt % args e = self.pgm or NN if e: t = _SPACE_(t, _in_, repr(e)) return PGMError(t) def _lle2yx2(self, lat, lon, flon): # earth (lat, lon) to grid indices (y, x) # with .dlat decreasing from 90N .slat lat -= self.slat lon += flon - self.wlon return (min(self.nlat - 1, max(0, int(lat * self.rlat))), max(0, int(lon * self.rlon))) def _tmpfile(self): # create a tmpfile to hold the cropped geoid grid try: from tempfile import NamedTemporaryFile as tmpfile except ImportError: # Python 2.7.16- from os import tmpfile t = _os_path.splitext(_os_path.basename(self.pgm))[0] f = tmpfile(mode='w+b', prefix=t or 'egm') f.seek(0, _SEEK_SET) # force overwrite return f @Property_RO def pgm(self): '''Get the geoid file name (C{str}). ''' return self.name class PGMError(GeoidError): '''Issue parsing or cropping an C{egm*.pgm} geoid dataset. ''' pass def egmGeoidHeights(GeoidHeights_dat): '''Generate geoid U{egm*.pgm<https://GeographicLib.SourceForge.io/ html/geoid.html#geoidinst>} height tests from U{GeoidHeights.dat <https://SourceForge.net/projects/geographiclib/files/testdata/>} U{Test data for Geoids<https://GeographicLib.SourceForge.io/html/ geoid.html#testgeoid>}. @arg GeoidHeights_dat: The un-gz-ed C{GeoidHeights.dat} file (C{str} or C{file} handle). @return: For each test, yield a L{GeoidHeight5Tuple}C{(lat, lon, egm84, egm96, egm2008)}. @raise GeoidError: Invalid B{C{GeoidHeights_dat}}. @note: Function L{egmGeoidHeights} is used to test the geoids L{GeoidKarney} and L{GeoidPGM}, see PyGeodesy module C{test/testGeoids.py}. ''' dat = GeoidHeights_dat if isinstance(dat, bytes): dat = _BytesIO(dat) try: dat.seek(0, _SEEK_SET) # reset except AttributeError as x: raise GeoidError(GeoidHeights_dat=type(dat), txt=str(x)) for t in dat.readlines(): t = t.strip() if t and not t.startswith(_bHASH_): lat, lon, egm84, egm96, egm2008 = map(float, t.split()) while lon > _180_0: # EasternLon to earth lon lon -= _360_0 yield GeoidHeight5Tuple(lat, lon, egm84, egm96, egm2008) __all__ += _ALL_DOCS(_GeoidBase) if __name__ == '__main__': import sys _crop = () _GeoidEGM = GeoidKarney _kind = 3 geoids = sys.argv[1:] while geoids: geoid = geoids.pop(0) if '-crop'.startswith(geoid.lower()): _crop = 20, -125, 50, -65 # CONUS elif '-karney'.startswith(geoid.lower()): _GeoidEGM = GeoidKarney elif '-kind'.startswith(geoid.lower()): _kind = int(geoids.pop(0)) elif '-pgm'.startswith(geoid.lower()): _GeoidEGM = GeoidPGM elif geoid[-4:].lower() in ('.pgm',): g = _GeoidEGM(geoid, crop=_crop, kind=_kind) print('\n%s\n' % (g.toStr(),)) print('%r\n' % (g.pgm,)) # <https://GeographicLib.SourceForge.io/cgi-bin/GeoidEval>: # The height of the EGM96 geoid at Timbuktu # echo 16:46:33N 3:00:34W | GeoidEval # => 28.7068 -0.02e-6 -1.73e-6 # The 1st number is the height of the geoid, the 2nd and # 3rd are its slopes in northerly and easterly direction t = 'Timbuktu %s' % (g,) k = {'egm84-15.pgm': '31.2979', 'egm96-5.pgm': '28.7067', 'egm2008-1.pgm': '28.7880'}.get(g.name.lower(), '28.7880') ll = parseDMS2('16:46:33N', '3:00:34W', sep=':') for ll in (ll, (16.776, -3.009),): try: h, ll = g.height(*ll), fstr(ll, prec=6) print('%s.height(%s): %.4F vs %s' % (t, ll, h, k)) except (GeoidError, RangeError) as x: print(_COLONSPACE_(t, str(x))) elif geoid[-4:].lower() in ('.bin',): g = GeoidG2012B(geoid, kind=_kind) print(g.toStr()) else: raise GeoidError(grid=repr(geoid)) _I = int # PYCHOK unused _I del _intCs # trash ints cache # **) MIT License # # Copyright (C) 2016-2022 -- mrJean1 at Gmail -- All Rights Reserved. # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included # in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL # THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR # OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, # ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # OTHER DEALINGS IN THE SOFTWARE. # <https://GeographicLib.SourceForge.io/cgi-bin/GeoidEval> # _lowerleft = -90, -179, -30.1500 # egm2008-1.pgm # _lowerleft = -90, -179, -29.5350 # egm96-5.pgm # _lowerleft = -90, -179, -29.7120 # egm84-15.pgm # _center = 0, 0, 17.2260 # egm2008-1.pgm # _center = 0, 0, 17.1630 # egm96-5.pgm # _center = 0, 0, 18.3296 # egm84-15.pgm # _upperright = 90, 180, 14.8980 # egm2008-1.pgm # _upperright = 90, 180, 13.6050 # egm96-5.pgm # _upperright = 90, 180, 13.0980 # egm84-15.pgm # % python pygeodesy/geoids.py [-Karney] ../geoids/egm*.pgm # # GeoidKarney('egm2008-1.pgm'): lowerleft(-90.0, -180.0, -30.15), upperright(90.0, 180.0, 14.898), center(0.0, 0.0, 17.226), # highest(-8.4, -32.633, 85.839), lowest(4.683, -101.25, -106.911), mean=-1.317, stdev=29.244, # kind=3, dtype='ushort', endian='>H', hits=0, knots=233301600, sizeB=466603604 # _PGM('../geoids/egm2008-1.pgm'): AREA_OR_POINT='Point', DateTime='2009-08-31 06:54:00', Description='WGS84 EGM2008, 1-minute grid', # Geoid='file in PGM format for the GeographicLib::Geoid class', MaxBilinearError=0.025, MaxCubicError=0.003, # Offset=-108.0, Origin=(90, 0.0), Pixel=65535, RMSBilinearError=0.001, RMSCubicError=0.001, Scale=0.003, # URL='https://Earth-Info.NGA.mil/GandG/wgs84/gravitymod/egm2008', Vertical_Datum='WGS84', crop4=(-90.0, -180.0, 90.0, 180.0), # dlat=-0.016666666666666666, dlon=0.016666666666666666, egm=None, flon=0, glon=180, knots=233301600, nlat=10801, nlon=21600, # pgm='../geoids/egm2008-1.pgm', rlat=-60.0, rlon=60.0, sizeB=466603604, skip=404, slat=90, u2B=2, wlon=0.0 # Timbuktu GeoidKarney('egm2008-1.pgm').height(16.775833, -3.009444): 28.7881 vs 28.7880 # Timbuktu GeoidKarney('egm2008-1.pgm').height(16.776, -3.009): 28.7880 vs 28.7880 # # GeoidKarney('egm84-15.pgm'): lowerleft(-90.0, -180.0, -29.712), upperright(90.0, 180.0, 13.098), center(0.0, 0.0, 18.33), # highest(-8.4, -32.633, 85.839), lowest(4.683, -101.25, -106.911), mean=-1.317, stdev=29.244, # kind=3, dtype='ushort', endian='>H', hits=0, knots=1038240, sizeB=2076896 # _PGM('../geoids/egm84-15.pgm'): AREA_OR_POINT='Point', DateTime='2009-08-29 18:45:02', Description='WGS84 EGM84, 15-minute grid', # Geoid='file in PGM format for the GeographicLib::Geoid class', MaxBilinearError=0.413, MaxCubicError=0.02, # Offset=-108.0, Origin=(90, 0.0), Pixel=65535, RMSBilinearError=0.018, RMSCubicError=0.001, Scale=0.003, # URL='https://Earth-Info.NGA.mil/GandG/wgs84/gravitymod/wgs84_180/wgs84_180.html', Vertical_Datum='WGS84', crop4=(-90.0, -180.0, 90.0, 180.0), # dlat=-0.25, dlon=0.25, egm=None, flon=0, glon=180, knots=1038240, nlat=721, nlon=1440, # pgm='../geoids/egm84-15.pgm', rlat=-4.0, rlon=4.0, sizeB=2076896, skip=416, slat=90, u2B=2, wlon=0.0 # Timbuktu GeoidKarney('egm84-15.pgm').height(16.775833, -3.009444): 31.2983 vs 31.2979 # Timbuktu GeoidKarney('egm84-15.pgm').height(16.776, -3.009): 31.2979 vs 31.2979 # # GeoidKarney('egm96-5.pgm'): lowerleft(-90.0, -180.0, -29.535), upperright(90.0, 180.0, 13.605), center(0.0, 0.0, 17.163), # highest(-8.4, -32.633, 85.839), lowest(4.683, -101.25, -106.911), mean=-1.317, stdev=29.244, # kind=3, dtype='ushort', endian='>H', hits=0, knots=9335520, sizeB=18671448 # _PGM('../geoids/egm96-5.pgm'): AREA_OR_POINT='Point', DateTime='2009-08-29 18:45:03', Description='WGS84 EGM96, 5-minute grid', # Geoid='file in PGM format for the GeographicLib::Geoid class', MaxBilinearError=0.14, MaxCubicError=0.003, # Offset=-108.0, Origin=(90, 0.0), Pixel=65535, RMSBilinearError=0.005, RMSCubicError=0.001, Scale=0.003, # URL='https://Earth-Info.NGA.mil/GandG/wgs84/gravitymod/egm96/egm96.html', Vertical_Datum='WGS84', crop4=(), # dlat=-0.08333333333333333, dlon=0.08333333333333333, egm=None, flon=0, glon=180, knots=9335520, nlat=2161, nlon=4320, # pgm='../geoids/egm96-5.pgm', rlat=-12.0, rlon=12.0, sizeB=18671448, skip=408, slat=90, u2B=2, wlon=0.0 # Timbuktu GeoidKarney('egm96-5.pgm').height(16.775833, -3.009444): 28.7068 vs 28.7067 # Timbuktu GeoidKarney('egm96-5.pgm').height(16.776, -3.009): 28.7067 vs 28.7067 # % python pygeodesy/geoids.py -PGM ../geoids/egm*.pgm # # GeoidPGM('egm2008-1.pgm'): lowerleft(-90.0, -180.0, -30.15), upperright(90.0, 180.0, 14.898), center(0.0, 0.0, 17.226), # highest(-8.4, -32.633, 85.839), lowest(4.683, -101.25, -106.911), mean=-1.317, stdev=29.244, # kind=3, smooth=0, dtype=dtype('float64'), endian='>u2', knots=233301600, nBytes=1866412800, sizeB=466603604, scipy='1.2.1', numpy='1.16.1' # _PGM('../geoids/egm2008-1.pgm'): AREA_OR_POINT='Point', DateTime='2009-08-31 06:54:00', Description='WGS84 EGM2008, 1-minute grid', # Geoid='file in PGM format for the GeographicLib::Geoid class', MaxBilinearError=0.025, MaxCubicError=0.003, # Offset=-108.0, Origin=(90, 0.0), Pixel=65535, RMSBilinearError=0.001, RMSCubicError=0.001, Scale=0.003, # URL='https://Earth-Info.NGA.mil/GandG/wgs84/gravitymod/egm2008', Vertical_Datum='WGS84', crop4=(-90.0, -180.0, 90.0, 180.0), # dlat=-0.016666666666666666, dlon=0.016666666666666666, egm=None, flon=0, glon=180, knots=233301600, nlat=10801, nlon=21600, # pgm='../geoids/egm2008-1.pgm', rlat=-60.0, rlon=60.0, sizeB=466603604, skip=404, slat=90, u2B=2, wlon=0.0 # Timbuktu GeoidPGM('egm2008-1.pgm').height(16.775833, -3.009444): 28.7881 vs 28.7880 # Timbuktu GeoidPGM('egm2008-1.pgm').height(16.776, -3.009): 28.7880 vs 28.7880 # # GeoidPGM('egm84-15.pgm'): lowerleft(-90.0, -180.0, -29.712), upperright(90.0, 180.0, 13.098), center(0.0, 0.0, 18.33), # highest(-4.5, -31.25, 81.33), lowest(4.75, -100.75, -107.34), mean=-0.855, stdev=29.183, # kind=3, smooth=0, dtype=dtype('float64'), endian='>u2', knots=1038240, nBytes=8305920, sizeB=2076896, scipy='1.2.1', numpy='1.16.1' # _PGM('../geoids/egm84-15.pgm'): AREA_OR_POINT='Point', DateTime='2009-08-29 18:45:02', Description='WGS84 EGM84, 15-minute grid', # Geoid='file in PGM format for the GeographicLib::Geoid class', MaxBilinearError=0.413, MaxCubicError=0.02, # Offset=-108.0, Origin=(90, 0.0), Pixel=65535, RMSBilinearError=0.018, RMSCubicError=0.001, Scale=0.003, # URL='https://Earth-Info.NGA.mil/GandG/wgs84/gravitymod/wgs84_180/wgs84_180.html', Vertical_Datum='WGS84', crop4=(-90.0, -180.0, 90.0, 180.0), # dlat=-0.25, dlon=0.25, egm=None, flon=0, glon=180, knots=1038240, nlat=721, nlon=1440, # pgm='../geoids/egm84-15.pgm', rlat=-4.0, rlon=4.0, sizeB=2076896, skip=416, slat=90, u2B=2, wlon=0.0 # Timbuktu GeoidPGM('egm84-15.pgm').height(16.775833, -3.009444): 31.2979 vs 31.2979 # Timbuktu GeoidPGM('egm84-15.pgm').height(16.776, -3.009): 31.2975 vs 31.2979 # # GeoidPGM('egm96-5.pgm'): lowerleft(-90.0, -180.0, -29.535), upperright(90.0, 180.0, 13.605), center(0.0, -0.0, 17.179), # highest(-8.167, -32.75, 85.422), lowest(4.667, -101.167, -107.043), mean=-1.438, stdev=29.227, # kind=3, smooth=0, dtype=dtype('float64'), endian='>u2', knots=9335520, nBytes=74684160, sizeB=18671448, scipy='1.2.1', numpy='1.16.1' # _PGM('../geoids/egm96-5.pgm'): AREA_OR_POINT='Point', DateTime='2009-08-29 18:45:03', Description='WGS84 EGM96, 5-minute grid', # Geoid='file in PGM format for the GeographicLib::Geoid class', MaxBilinearError=0.14, MaxCubicError=0.003, # Offset=-108.0, Origin=(90, 0.0), Pixel=65535, RMSBilinearError=0.005, RMSCubicError=0.001, Scale=0.003, # URL='https://Earth-Info.NGA.mil/GandG/wgs84/gravitymod/egm96/egm96.html', Vertical_Datum='WGS84', crop4=(-90.0, -180.0, 90.0, 180.0), # dlat=-0.08333333333333333, dlon=0.08333333333333333, egm=None, flon=0, glon=180, knots=9335520, nlat=2161, nlon=4320, # pgm='../geoids/egm96-5.pgm', rlat=-12.0, rlon=12.0, sizeB=18671448, skip=408, slat=90, u2B=2, wlon=0.0 # Timbuktu GeoidPGM('egm96-5.pgm').height(16.775833, -3.009444): 28.7065 vs 28.7067 # Timbuktu GeoidPGM('egm96-5.pgm').height(16.776, -3.009): 28.7064 vs 28.7067