min_distance: Minimum Distance Between Points

In rTLS: Processing of Point Clouds Derived from Terrestrial Laser Scanning

Minimum Distance Between Points

Description

Estimate the minimum distance between points in a point cloud.

Usage

min_distance(
  cloud,
  distance = "euclidean",
  threads = 1L,
  verbose = FALSE,
  progress = FALSE,
  ...
)

Arguments

cloud	A data.table with *XYZ* coordinates in the first three columns representing a point cloud.
distance	Type of distance to calculate. "euclidean" as default. Look hnsw_knn for more options.
threads	An integer specifying the number of threads to use for parallel processing. Experiment to see what works best for your data on your hardware.
verbose	If TRUE, log messages to the console.
progress	If TRUE, log a progress bar when verbose = TRUE. Tracking progress could cause a small overhead.
...	Arguments passed to hnsw_build and hnsw_search.

Value

A numeric vector describing the minimum distance between points.

Author(s)

J. Antonio Guzmán Q.

Examples

data("pc_tree")

#Estimate the minimum distance of a sample o 100 points
min_distance(pc_tree)

rTLS documentation built on Dec. 28, 2022, 1:28 a.m.