eigen_decomposition

C++ helper function to compute eigenvalues for geometric feature
calculation.

Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the 'lidR' package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.

Julian Frey

CspStandSegmentation

Comparative Shortest Path Forest Stand Segmentation from LiDAR
Data

Zoe Schindler

eigen_decomposition function

<dl><dt>las</dt>
<dd>LAS element</dd>
<dt>k</dt>
<dd>k nearest neighbors</dd>
<dt>ncpu</dt>
<dd>number of cpu cores to use</dd></dl>

Arguments

Julian Frey &lt;julian.frey@iww.uni-freiburg.de&gt;

Author

Fast Eigenvalues decomposition for k nearest neighbors using a C++ function — eigen_decomposition

<dl>

<dt>las</dt>
<dd>LAS element</dd>


<dt>k</dt>
<dd>k nearest neighbors</dd>


<dt>ncpu</dt>
<dd>number of cpu cores to use</dd>

</dl>

eigen_decomposition: Fast Eigenvalues decomposition for k nearest neighbors using a C++ function

Description

Usage

Value

Arguments

Author

See Also