weighted_mean_harm

internal

Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Mobile Laser Scanner. 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, <doi:10.1016/j.envsoft.2022.105337>).

Juan Alberto Molina-Valero

FORTLS

Automatic Processing of Terrestrial-Based Technologies Point
Cloud Data for Forestry Purposes

Adela Martínez-Calvo

María José Ginzo Villamayor

Manuel Antonio Novo Pérez

Juan Gabriel Álvarez-González

Fernando Montes

César Pérez-Cruzado

weighted_mean_harm function

<dl>
 <dt>x</dt>
<dd>attribute for which calculate mean.</dd>
 <dt>w</dt>
<dd>vector with weights associated to x.</dd>
</dl>

Arguments

Juan Alberto Molina-Valero,
 María José Ginzo Villamayor,
 Manuel Antonio Novo Pérez,
 Adela Martínez-Calvo,
 Juan Gabriel Álvarez-González,
 Fernando Montes and
 César Pérez-Cruzado.

Author

Calculate weighted harmonic mean. — weighted_mean_harm

<dl>


 <dt>x</dt>
<dd>attribute for which calculate mean.</dd>


 <dt>w</dt>
<dd>vector with weights associated to x.</dd>
</dl>

Calculate weighted harmonic mean.

weighted_mean_harm: Calculate weighted harmonic mean.

Description

Usage

Value

Arguments

Author