Nearest neighbour directional distribution (old version)

Estimate the directional distribution of Konig&Schmidt 1992 with (their notation) 0-nearest neighbour i.e. nearest neighbour.

Usage

dDirectional(x, r, theta, epsilon, n_dir = 10)

Arguments

x

point pattern, $x coords $bbox bounding box

r

Ranges

theta

Direction sector central angles, list of ncol(x$x)-components.

epsilon

Direction sector width angles

n_dir

If theta not given, greate a grid with this resolution.

Details

Directions are angle to positive x-axis (2D) or azimuth, inclination (3D). Theta should be a list of length 1 (2D) and 2 (3D) defining a grid of these angles.