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dendrometry (version 0.0.4)

Forest Estimations and Dendrometric Computations

Description

Computation of dendrometric and structural parameters from forest inventory data. The objective is to provide a user-friendly R package for researchers, ecologists, foresters, statisticians, loggers and other persons who deal with forest inventory data. The package includes advanced distribution fitting capabilities with multiple estimation methods (Maximum Likelihood, Maximum Product Spacing with ties correction methods following Cheng & Amin (1983), and Method of Moments) for probability distributions commonly used in forestry. Visualization tools with confidence bands using delta method and parametric bootstrap are provided for three-parameter Weibull distribution fitting to diameter data. Useful conversion of angle value from degree to radian, conversion from angle to slope (in percentage) and their reciprocals as well as principal angle determination are also included. Position and dispersion parameters usually found in forest studies are implemented. The package contains Fibonacci series, its extensions and the Golden Number computation. Useful references are Arcadius Y. J. Akossou, Soufianou Arzouma, Eloi Y. Attakpa, Noël H. Fonton and Kouami Kokou (2013) , W. Bonou, R. Glele Kakaï, A.E. Assogbadjo, H.N. Fonton, B. Sinsin (2009) , R. C. H. Cheng and N. A. K. Amin (1983) , and R. C. H. Cheng and M. A. Stephens (1989) .

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Version

Install

install.packages('dendrometry')

Monthly Downloads

582

Version

0.0.4

License

GPL-3

Maintainer

Narcisse Yehouenou

Last Published

October 8th, 2025

Functions in dendrometry (0.0.4)

fit_dist

Unified Parameter Estimation for Probability Distributions
fibonacci

Fibonacci series
factorize

Making factor vectors
diameterMean

Mean diameter
densityTree

Tree density
dendrometry-package

dendrometry: Forest Estimations and Dendrometric Computations
densityRegen

Density of regeneration (efficient version)
dweibull3

The three-parameter Weibull Distribution
get_cdf

Get CDF for Standard and Custom Distributions
fit_optimization

Unified Optimization-based Estimation (MPS and MLE)
get_default_bounds

Get Default Parameter Bounds
fit_weibull_plot

Fit and Plot Three-Parameter Weibull Distribution with Confidence Bands
loreyHeight

Lorey's mean height
logLik.fit_dist

Extract Log-Likelihood
optimize_params

Optimization Wrapper
fiboRate

Fibonacci series ratio
height

Height of Tree or any vertical Object
makedata

Create nested data subsets
green

Index of Green
fit_moments

Method of Moments Estimation
format_ci_inline

Format Confidence Interval for Inline Display
format_ci

Format Confidence Interval for Display
fit_lmoments

L-Moments Estimation
param

Structural parameters for stands
spNmReduce

Abbreviates a Botanical or Zoological Latin Name into an Eight-character from 'Gender epithet' to 'G. epithet'
shape

The shape coefficient
nestedFunBuilder

Create nested data structures with optional function application
skewness

Skewness coefficient
stacking

Stack all vectors of a data frame or list
get_pdf

Get PDF for Standard and Custom Distributions
print.angle

Print Angle
get_param_names

Get Parameter Names for Standard Distributions
print.slope

Print Slope
sampleSize

Sample size
rfreq

Relative Frequency
summary.fit_dist

Summary Method for Fitted Distributions
vcov.fit_dist

Extract Variance-Covariance Matrix
print.fit_dist

Print Method for Fitted Distributions
volume

Tree stem and log Volume
girard

Girard Form Class Girard Form Class is a form quotient used to estimate taper.
get_start_values

Get Starting Values for Parameter Estimation
reducecoef

The reduction coefficient
AIC.fit_dist

Extract AIC
barkFactor

Bark factor The bark factor (k) is computed for trees in order to assess the importance of the valuable wood in the overall volume of a tree (Husch et al., 1982):
angle2slope

Angle - Slope conversion and Principal Measure determination
baseFunction

Recursive function for creating nested data structures
basalContribution

Basal area contribution
basal

The basal area of plots
BIC.fit_dist

Extract BIC
basal_i

Individual Basal Area and DBH (diameter)
decrease

The decrease coefficient
ci_bands_bootstrap

Compute Confidence Bands Using Parametric Bootstrap
create_objective

Create Objective Function for MPS or MLE
Logging

Tree metrics for logging
Tree

Dendrometric measures on tree
confint.fit_dist

Confidence Intervals for Parameters
decreaseMetric

Metric scrolling or decay
blackman

Index of Blackman
dbh

Diameter (DBH) and Circumference
deg

Degree and Radian
ci_bands_delta

Compute Confidence Bands Using Delta Method
distanceH

Horizontal distance
coef.fit_dist

Extract Model Coefficients