pyinterp.core.geodetic.RTree.radial_basis_function

RTree.radial_basis_function(self: pyinterp.core.geodetic.RTree, lon: numpy.ndarray[numpy.float64[m, 1]], lat: numpy.ndarray[numpy.float64[m, 1]], radius: Optional[float] = None, k: int = 9, rbf: pyinterp.core.RadialBasisFunction = <RadialBasisFunction.Multiquadric: 4>, epsilon: Optional[float] = None, smooth: float = 0, within: bool = True, num_threads: int = 0) → tuple

Interpolation of the value at the requested position by radial basis function interpolation.

Parameters:

  • lon – The longitude of the points, in degrees, to be interpolated.

  • lat – The latitude of the points, in degrees, to be interpolated.

  • radius – The maximum radius of the search (m). Default to the

  • value (largest) – that can be represented on a float.

  • k – The number of nearest neighbors to be used for calculating the interpolated value. Defaults to 9.

  • rbf – The radial basis function, based on the radius, r, given by the distance between points. Default to pyinterp.core.RadialBasisFunction.Multiquadric.

  • epsilon – Adjustable constant for gaussian or multiquadrics functions. Default to the average distance between nodes.

  • smooth – Values greater than zero increase the smoothness of the approximation.

  • within – If true, the method ensures that the neighbors found are located around the point of interest. Defaults to true.

  • num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to 0.

Returns:

The interpolated value and the number of neighbors used for the calculation.