forestmangr0.9.7 package

Forest Mensuration and Management

avg_tree_curve

Generate the curve of a forest's average tree using the Kozak taper mo...

bdq_meyer

Classify a forest for selective cutting using the Meyer BDq method

bias_per

Bias of an estimator in percentage

check_names

Check if character vector contains variable names

class_center

Classify a given variable and get center of class

classify_site

Classify inventory data based on site index

diameter_class

Divide data into diameter classes, and get number of observations

dom_height

Calculate the dominant height of forest inventory data plots

est_clutter

Estimate future and present basal area, volume, TCA, CMI and MMI value...

fit_clutter

Fit the Clutter model for growth and yield

forest_structure

Get the forest horizontal, vertical and internal structure

Graybill_F

Graybill F Test

guide_curve

Get the guide curve plot for growth and yield analysis of inventory da...

huberwb

Calculate the volume with bark of trees using the Huber method

huberwob

Calculate the volume without bark of trees using the Huber method

ident_model

Identity of a Model Test

inv

Calculate the inverse of a number

lm_resid_group

Fit linear regressions by group, with the option of removing outliers ...

lm_resid

Fit linear regressions, with the option of removing outliers using a i...

lm_table

Fit linear regressions by group, and get different output options.

na_to_0

Convert NA to zero on numeric variables

nls_table

Fit non-linear regressions by group, using LM algorithm and get differ...

npv_irr

Calculate Net Present Value and other economic variables

outliersiqr

Calculate interquartile range

pipe

Pipe

plot_summarise

Summarize forest inventory data

pow

Raise a numeric vector to a given power

resid_plot

Calculate residual values and create plots

rm_empty_col

Remove empty columns

rmse_per

RMSE of an estimator in percentage

round_df

Round all numeric variables of a data frame to a given digit

similarity_matrix

Get the similarity matrix of an area

smalianwb

Calculate the volume with bark of trees using the Smalian method

smalianwob

Calculate the volume without bark of trees using the Smalian method

species_aggreg

Get the aggregation state of species

species_diversity

Get the species diversity indexes

sprs

Simple Random Sampling

ss_diffs

Systematic Sampling

strs

Stratified Random Sampling

tee

Tee

tree_summarise

Calculate the equivalent diameter of trees with more than one trunk

vertical_stratum

Divide data into 3 vertical strata

vol_summarise

Summarize volume of trees

Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.

  • Maintainer: Sollano Rabelo Braga
  • License: MIT + file LICENSE
  • Last published: 2024-09-14