pyinterp.core.RTree3DFloat64.value

RTree3DFloat64.value(self: pyinterp.core.RTree3DFloat64, coordinates: numpy.ndarray[numpy.float64], radius: float | None = None, k: int = 4, within: bool = False, num_threads: int = 0) → tuple

Get the K nearest neighbors of a given point.

Parameters:

  • coordinates – a matrix of shape (n, 3), where n is the number of observations and 3 represents the coordinates in the order: x, y, and z. If the matrix shape is (n, 2), the z-coordinate is assumed to be zero. The coordinates (x, y, z) are in the Cartesian coordinate system (ECEF) if the instance is configured to use this system (ecef keyword set to True during construction). Otherwise, the coordinates are in the geodetic system (longitude, latitude, and altitude) in degrees, degrees, and meters, respectively.

  • radius – The maximum radius of the search (m). By default, no limit is applied.

  • k – The number of nearest neighbors to be used for calculating the interpolated value. Defaults to 4.

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

  • 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:

A tuple of matrices containing the coordinates and values of the different neighbors found for all provided positions.

Note

The matrix containing the coordinates of the neighbors is a matrix of dimension (k, n) where n is equal to 2 if the provided coordinates matrix defines only x and y, and 3 if the defines x, y, and z.