Package: forestGYM 1.0.0

forestGYM: Forest Growth and Yield Model Based on Clutter Model

The Clutter model is a significant forest growth simulation tool. Grounded on individual trees and comprehensively considering factors such as competition among trees and the impact of environmental elements on growth, it can accurately reflect the growth process of forest stands. It can be applied in areas like forest resource management, harvesting planning, and ecological research. With the help of the Clutter model, people can better understand the dynamic changes of forests and provide a scientific basis for rational forest management and protecting the ecological environment. This R package can effectively realize the construction of forest growth and harvest models based on the Clutter model and achieve optimized forest management.References: Farias A, Soares C, Leite H et al(2021)<doi:10.1007/s10342-021-01380-1>. Guera O, Silva J, Ferreira R, et al(2019)<doi:10.1590/2179-8087.038117>.

Authors:Zongzheng Chai [aut, cre]

forestGYM_1.0.0.tar.gz
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forestGYM_1.0.0.tgz(r-4.4-any)forestGYM_1.0.0.tgz(r-4.3-any)
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forestGYM.pdf |forestGYM.html
forestGYM/json (API)

# Install 'forestGYM' in R:
install.packages('forestGYM', repos = c('https://zongzheng.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • standgrowth - Data for construction of stand growth model.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 exports 1 dependencies

Last updated 11 days agofrom:c6d7a62c28. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:clutter_modclutter_preclutter_simoptclutter_simulationestVincrementVres

Dependencies:gtools