View source: R/directionalDist_Konig_Schmidt.R
nn_directional_angle_distribution | R Documentation |
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.
nn_directional_angle_distribution(x, direction, epsilon, r, antipodal = FALSE)
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? |
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.
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