The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: gtools (≥ 3.8.5), stats (≥ 4.3.1)
Published: 2024-11-12
DOI: 10.32614/CRAN.package.forestGYM
Author: Zongzheng Chai ORCID iD [aut, cre]
Maintainer: Zongzheng Chai <chaizz at 126.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: forestGYM results

Documentation:

Reference manual: forestGYM.pdf

Downloads:

Package source: forestGYM_1.0.0.tar.gz
Windows binaries: r-devel: forestGYM_1.0.0.zip, r-release: forestGYM_1.0.0.zip, r-oldrel: forestGYM_1.0.0.zip
macOS binaries: r-release (arm64): forestGYM_1.0.0.tgz, r-oldrel (arm64): forestGYM_1.0.0.tgz, r-release (x86_64): forestGYM_1.0.0.tgz, r-oldrel (x86_64): forestGYM_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forestGYM to link to this page.

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.