which_lines: Points Classification through Directional Lines

In spMC: Continuous-Lag Spatial Markov Chains

Points Classification through Directional Lines

Description

The function classifies points which appertain to a same directional line.

Usage

which_lines(coords, direction, tolerance = pi / 8)

Arguments

coords	an n \times d matrix where each row denotes the d-D coordinates of data locations.
direction	a d-D numerical vector (or versor) which represents the chosen direction.
tolerance	a numerical value for the tolerance angle (in radians). It's pi/8 by default.

Details

The algorithm used by this function searches the nearest points to a directional line. The function classifies such pairs of points that have the minimum distance and the same direction of the vector \phi.

This operation is done to order points, so that it's possible to compute mean lengths (mlen) and embedded transition probabilities (embed_MC).

Value

A numerical vector containing the line number for each point.

Author(s)

Luca Sartore [e-mail]

References

Sartore, L. (2010) Geostatistical models for 3-D data. M.Phil. thesis, Ca' Foscari University of Venice.

See Also

embed_MC, mlen, getlen

Examples

data(ACM)

direction <- c(0,0,1)

loc.id <- which_lines(ACM[, 1:3], direction)

spMC documentation built on May 3, 2023, 9:13 a.m.