RTree3DFloat64.query(self: pyinterp.core.RTree3DFloat64, coordinates: numpy.ndarray[numpy.float64], k: int = 4, within: bool = False, num_threads: int = 0) tuple#

Search for the nearest K nearest neighbors of a given point.



a matrix (n, 3) where n is

the number of observations and 3 is the number of coordinates in order: longitude and latitude in degrees and altitude in meters. If the shape of the matrix is (n, 2) then the method considers the altitude constant and equal to zero.

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

within 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.


A tuple containing a matrix describing for each provided position, the distance, in meters, between the provided position and the found neighbors and a matrix containing the value of the different neighbors found for all provided positions.