weighted_mean_harm

<p>attribute for which calculate mean.</p>

<p>vector with weights associated to x.</p>

internal

Process automation of Terrestrial Laser Scanner (TLS) point cloud data derived from single scans. 'FORTLS' enables (i) detection of trees and estimation of diameter at breast height (dbh), (ii) estimation of some stand variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) 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. (2020, <doi:10.3390/IECF2020-08066>).

Juan Alberto Molina-Valero

FORTLS

Automatic Processing of TLS Point Cloud Data for Forestry
Purposes

Mar<c3><ad>a Jos<c3><a9> Ginzo Villamayor

Manuel Antonio Novo P<c3><a9>rez

Adela Mart<c3><ad>nez-Calvo

Juan Gabriel <c3><81>lvarez-Gonz<c3><a1>lez

Fernando Montes

C<c3><a9>sar P<c3><a9>rez-Cruzado

weighted_mean_harm function

Calculate weighted harmonic mean. — weighted_mean_harm

Calculate weighted harmonic mean.

weighted_mean_harm: Calculate weighted harmonic mean.

Description

Usage

Arguments

Value