dDirectional: Nearest neighbour directional distribution (old version)
In antiphon/Kdirectional: Analysis of anisotropy in point patterns using second order statistics
View source: R/directionalDist_Konig_Schmidt.R
dDirectional R Documentation
Nearest neighbour directional distribution (old version)
Description
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.
antiphon/Kdirectional documentation built on Feb. 13, 2023, 6:26 a.m.
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View source: R/directionalDist_Konig_Schmidt.R
| dDirectional | R Documentation |
Nearest neighbour directional distribution (old version)
Description
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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