nn_directional_angle_distribution: Nearest neighbour directional distribution (new version)

In antiphon/Kdirectional: Analysis of anisotropy in point patterns using second order statistics

Nearest neighbour directional distribution (new version)

Description

Estimate the directional distribution of Konig&Schmidt 1992 with (their notation) 0-nearest neighbour i.e. nearest neighbour, the direction set being a conical wedge of the unit-sphere.

Usage

nn_directional_angle_distribution(x, direction, epsilon, r, antipodal = FALSE)

Arguments

x	point pattern, $x coords $bbox bounding box
direction	Unit vector direction
epsilon	Direction sector's opening half-angle vector.
r	Maximum range for of nn-distances to consider. If missing, use max(nn-distances)
antipodal	Make nn-vectors antipodally symmetric?

Details

Compute the probability that a nearest neighbour of a typical point is in direction of the cone given the distance is less than r.

Input should be one direction and many epsilons OR equal amount of directions and epsilons.

Not using a double cone.

antiphon/Kdirectional documentation built on Feb. 13, 2023, 6:26 a.m.