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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.