biometrics-package: Functions and Datasets for Forest Biometrics and Modelling

In biometrics: Functions and Datasets for Forest Biometrics and Modelling

Functions and Datasets for Forest Biometrics and Modelling

Description

The **biometrics** package aims to apply quantitative analyses to forest ecology, silviculture, and decision-support systems. Besides, the package helps to carry out data management, exploratory analysis, and model assessment.

The main goal of **biometrics** is to provide reliable mathematical procedures in a computing setting commonly used for quantitatively characterising trees and forests. As such, the package offers an array of functions that build summary description tables and graphs, such as stand tables and diameter distribution plots. Furthermore, the package has several data frames that help illustrate the application of the functions and teach topics related to forest ecology, silviculture, and forest biometrics. The package relies heavily on the work and teaching style of [Christian Salas-Eljatib](https://eljatib.com/).

Details

Notice that most of the available dataframes have a counterpart with column names in Spanish. For instance, the dataframe 'mortaforest' has column names in English, but 'mortaforest2' has column names in Spanish. Both data frames have the same data.

To see the preferable citation of the package, type citation("biometrics").

Author(s)

Christian Salas-Eljatib [aut, cre] (<https://orcid.org/0000-0002-8468-0829>), Pino Nicolas [ctb] (up to 2020), Riquelme Joaquin [ctb] (up to 2020)

Maintainer: Christian Salas-Eljatib <[e-mail]>

Christian Salas-Eljatib is also indebted to several people who have contributed to individual data frames and functions: see credits in help pages.

References

- https://biometriaforestal.uchile.cl

- Salas-Eljatib C. 2021. Análisis de datos con el programa estadístico R: una introducción aplicada. Santiago, Chile: Ediciones Universidad Mayor. ISBN: 9789566086109. https://www.buscalibre.cl/libro-analisis-de-datos-con-el-programa-estadistico-r/9789566086109/p/53775485

Examples

##Scatter-plot and marginal histograms
data(popvol)
df <- popvol
hist(popvol$vol)

biometrics documentation built on April 4, 2025, 12:35 a.m.