pyinterp.rtree.radial_basis_function

pyinterp.rtree.radial_basis_function#

pyinterp.rtree.radial_basis_function(tree, coordinates, config=None, *, k=None, rbf=None, epsilon=None, smooth=None, radius=None, boundary_check=None, num_threads=None)[source]#

Radial Basis Function interpolation.

Parameters:

  • tree (core.RTree3DHolder | core.geometry.geographic.RTree) – R*Tree containing the scattered data.

  • coordinates (np.ndarray[TwoDims, np.dtype]) –

    Query coordinates as a NumPy array with shape:

    • (N, 2): For geographic.RTree, representing (longitude, latitude).

    • (N, 2) or (N, 3): For RTree3DHolder, representing (longitude, latitude[, altitude]).

  • config (rtree.RadialBasisFunction | None) – Configuration object (if provided, keyword args are ignored)

  • k (int | None) – Number of nearest neighbors to use

  • rbf (RBFKernel | None) – RBF kernel type

  • epsilon (float | None) – Shape parameter (None = auto)

  • smooth (float | None) – Smoothing parameter

  • radius (float | None) – Search radius (None = no limit)

  • boundary_check (BoundaryCheck | None) – Boundary checking mode

  • num_threads (int | None) – Number of threads (0 = auto)

Returns:

Tuple of (interpolated values, neighbor counts)

Return type:

tuple[np.ndarray[OneDim, np.dtype], NDArray1DUInt32]

Examples

>>> result, counts = radial_basis_function(
...     tree, coords, k=10, rbf="thin_plate"
... )
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