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.
Installation
You can install the development version of silviculture from GitHub with:
# install.packages("pak")
pak::pak("Cidree/silviculture")Roadmap
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.
Nomenclature
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 symbolG. 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).
Contributing
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.