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lmfor (version 1.6)

Functions for Forest Biometrics

Description

Functions for different purposes related to forest biometrics, including illustrative graphics, numerical computation, modeling height-diameter relationships, prediction of tree volumes, modelling of diameter distributions and estimation off stand density using ITD. Several empirical datasets are also included.

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Version

Install

install.packages('lmfor')

Monthly Downloads

277

Version

1.6

License

GPL-2

Maintainer

Lauri Mehtatalo

Last Published

April 29th, 2022

Functions in lmfor (1.6)

Estimate stand density using a Horvitz--Thompson-like estimator

Plot circles of a specified radius

Estimate forest characteristics of interest in circular plot sampling using a Horvitz--Thompson-like estimator

Solve a Nonlinear Equation Using Newton-Raphson algorithm.

Solve a Systems of Nonlinear Equations Using the Newton's Method

Breaking resistance (=bending strength) of birch wood samples

Increment core data of Scots pine trees

Available 2- and 3- parameter H-D model functions to be used by function fithd.

Individual tree characteristics and ALS data

Impute missing tree heights into a forest data using a nonlinear (mixed-effects) model.

A spaghetti plot of grouped data

Functions of Lauri Mehtatalo

The Four-parameter Logit-logistic Distribution

A whiskers type residual plot

Wood-decaying fungi carried by bark beetle individuals and their mites.

Sapling counts from sample plots of sapling stands in Finland.

Sapling counts from sample plots of sapling stands in Finland.

CO2 exchange of transplanted Sphagnum fuscum moss in a chronosequence of mires.

Individual tree volume modeling data for 8508 pine, spruce and birch trees in Finland

Fit a Height-Diameter model to forest tree data using functions of package nlme.

Solve a simple equation using a step halving algorithm.

Evaluate the fit of a tree diameter distribution

Individual tree volume functions for Finland

Effect of thinning on individual tree growth

Effect of thinning on individual tree growth for 62 trees.

Diagnostic plot a Height-Diameter model residuals

The Variable Form-Factor Volume Model

Normal QQ-plot of a fitted H-D model

Properties of sample quantiles from a tree population described by the percentile-based diameter distribution.

Increment core data of Scots pine trees

percentile-based

The Percentile-based Distribution

Recovery of Weibull parameters of tree diameter distribution using measured stand characteristics

Raw sample plot data of Scots pine in Ilomantsi, Finland.

The Weibull scale parameter for the given mean/median diameter and shape parameter.

Heights and diameters of Scots pine trees in Ilomantsi, Finland.

Productivity of stump lifting machines.