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forestat
View on CRAN: Click
here
Download and install forestat package within the R console
Install from CRAN:
install.packages("forestat")
Install from Github:
library("remotes")
install_github("cran/forestat")
Install by package version:
library("remotes")
install_version("forestat", "1.1.0")
Attach the package and use:
library("forestat")
Maintained by
Yuanyuan Han
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-22
Latest Update: 2023-10-10
Description:
Include assessing site classes based on the stand height growth and establishing a nonlinear mixed-effect biomass model under different site classes based on the whole stand model to achieve more accurate estimation of carbon sequestration. In particular, a carbon sequestration potential productivity calculation method based on the potential mean annual increment is proposed. This package is applicable to both natural forests and plantations. It can quantitatively assess stand
How to cite:
Yuanyuan Han (2023). forestat: Forest Carbon Sequestration and Potential Productivity Calculation. R package version 1.1.0, https://cran.r-project.org/web/packages/forestat. Accessed 03 Dec. 2024.
Previous versions and publish date:
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Complete documentation for forestat
Functions, R codes and Examples using
the forestat R package
Some associated functions: calc_degraded_forest_grade . class.plot . degraded_forest_preprocess . forestData . plot.forestData . plot_1 . plot_2 . plot_3 . potential.productivity . realized.productivity . summary.forestData . tree_1 . tree_2 . tree_3 .
Some associated R codes: class_plot.R . degraded_forest_grade.R . degraded_forest_preprocess.R . forestData.R . plot.R . plot_1.R . plot_2.R . plot_3.R . potential_productivity.R . realized_productivity.R . summary.R . tree_1.R . tree_2.R . tree_3.R . util.R . Full forestat package functions and examples
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