euclidean_distance

Estimate the distance between a point and a group of point.

A set of tools to process and calculate
metrics on point clouds derived from terrestrial laser scanning (TLS)
also know as terrestrial LiDAR (Light Detection and Ranging). Its
creation is based on key aspects of the TLS application in forestry
and ecology. Currently, the main routines are based on filtering,
neighboring features of points, voxelization, canopy structure,
and the creation of artificial stands. It is written using
data.table and 'C++' language and in most of the functions it is
possible to use parallel processing to speed-up the routines.

J. Antonio Guzm<c3><a1>n Q.

rTLS

Processing of Point Clouds Derived from Terrestrial Laser
Scanning

J. Antonio Guzmán Q.

Ronny Hernandez

Arturo Sanchez-Azofeifa

euclidean_distance function

<dl><dt>point</dt>
<dd>A <code>numeric</code> vector of length three describing the *XYZ* coordinates.</dd>
<dt>cloud</dt>
<dd>A <code>data.table</code> with *XYZ* coordinates in the first three columns representing a point cloud.</dd>
<dt>threads</dt>
<dd>An <code>integer</code> specifying the number of threads to use for parallel processing. Experiment to see what works best for your data on your hardware.</dd></dl>

Arguments

Author

Euclidean Distance Between 3D points — euclidean_distance

<dl>

<dt>point</dt>
<dd>A <code>numeric</code> vector of length three describing the *XYZ* coordinates.</dd>


<dt>cloud</dt>
<dd>A <code>data.table</code> with *XYZ* coordinates in the first three columns representing a point cloud.</dd>


<dt>threads</dt>
<dd>An <code>integer</code> specifying the number of threads to use for parallel processing. Experiment to see what works best for your data on your hardware.</dd>

</dl>

euclidean_distance: Euclidean Distance Between 3D points

Description

Usage

Value

Arguments

Author

Examples