silviculture is an R package designed to streamline the
analysis of forestry and forest inventory data, offering a range of
functions for common silvicultural analysis. It aims to support forest
management and research by providing a flexible toolkit for data
manipulation and summary.
You can install the development version of silviculture
from GitHub with:
# install.packages("pak")
pak::pak("Cidree/silviculture")This package is currently under active development and may still contain bugs or unstable features. I do not recommend using it in real-world applications at this stage, as it may be prone to errors.
The package uses the following terms as function arguments consistently:
biomass: mass of the tree or part of the tree in
kilograms.
dclass: the diametric class of the tree. In forestry
we typically work with diametric classes instead of raw diameters.
Therefore, we often create diametric classes with a range of 5 or 10
centimeters.
diameter: diameter of the tree, typically refering
to the diameter at breast height (1.30 meters) expressed in
centimeters.
h0 (dominant height): the mean height of the 100
thickest trees per hectare (Assman); or the mean height of the 100
tallest trees per hectare (Hart).
g (basal area): the basal area of the tree, which is
typically expressed by the symbol G. It is expressed as
squared meters per hectare ( m2/ha).
height: it refers to the total height of the tree in
meters.
Lorey's height: tree’s mean height weighted by basal
area.
ntrees: number of trees (typically of the same
diameter).
species: Latin name of the tree species
(e.g. Pinus pinaster).
volume: estimated volume of the tree in cubic meters
(m3).
Contributions to silviculture are highly appreciated! If
you have ideas for improvements or new features, feel free to:
Open an issue for bugs or feature requests.
Submit a pull request for code contributions.
Share feedback on usage, examples, or additional functionality.
This project is licensed under the GPL-3 License.
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