pointpats.g(coordinates, support=None, distances=None, metric='euclidean', edge_correction=None)[source]

Ripley’s G function

The G function is computed from the cumulative density function of the nearest neighbor distances between points in the pattern.

coordinatesnumpy.ndarray of shape (n,2)

input coordinates to function

supporttuple of length 1, 2, or 3, int, or numpy.ndarray

tuple, encoding (stop,), (start, stop), or (start, stop, num) int, encoding number of equally-spaced intervals numpy.ndarray, used directly within numpy.histogram

distances: numpy.ndarray, (n, n) or (n,)

distances from every point in the point to another point in coordinates

metric: str or callable

distance metric to use when building search tree

edge_correction: bool or str

whether or not to conduct edge correction. Not yet implemented.

a tuple containing the support values used to evalute the function
and the values of the function at each distance value in the support.