knn_distance

Computes the average distance between each point and its k-nearest neighbors in a point cloud.
The results are stored in a new attribute.

Airborne LiDAR (Light Detection and Ranging) interface for data
manipulation and visualization. Read/write 'las' and 'laz' files, computation
of metrics in area based approach, point filtering, artificial point reduction,
classification from geographic data, normalization, individual tree segmentation
and other manipulations.

Jean-Romain Roussel

lidR

Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications

knn_distance function

<dl><dt>las</dt>
<dd>A LAS object representing the point cloud data.</dd>
<dt>k</dt>
<dd>The number of nearest neighbors.</dd>
<dt>name</dt>
<dd>A string specifying the name of the new attribute used to store the computed distances.</dd></dl>

Arguments

Computes the Distance to k-Nearest Neighbors — knn_distance

<dl>

<dt>las</dt>
<dd>A LAS object representing the point cloud data.</dd>


<dt>k</dt>
<dd>The number of nearest neighbors.</dd>


<dt>name</dt>
<dd>A string specifying the name of the new attribute used to store the computed distances.</dd>

</dl>

knn_distance: Computes the Distance to k-Nearest Neighbors

Description

Usage

Value

Arguments

Examples