The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Analysis of forest population structure and quantitative dynamics is the research and evaluation of the composition, distribution, age structure and changes in quantity over time of various populations in the forest. By deeply understanding these characteristics of forest populations, scientific basis can be provided for the management, protection and sustainable utilization of forest resources. This R package conducts a systematic analysis of forest population structure and quantitative dynamics through analyzing age structure, compiling life tables, population quantitative dynamic change indices and time series models, in order to provide support for forest population protection and sustainable management. References: Zhang Y, Wang J, Wang X, et al(2024)<doi:10.3390/plants13070946>. Yuan G, Guo Q, Xie N, et al(2023)<doi:10.1007/s11629-022-7429-z>.
Version: | 1.0.0 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2, reshape2, TTR, modelr, minpack.lm, stats, utils |
Published: | 2024-11-11 |
DOI: | 10.32614/CRAN.package.forestPSD |
Author: | Zongzheng Chai [aut, cre] |
Maintainer: | Zongzheng Chai <chaizz at 126.com> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | forestPSD results |
Reference manual: | forestPSD.pdf |
Package source: | forestPSD_1.0.0.tar.gz |
Windows binaries: | r-devel: forestPSD_1.0.0.zip, r-release: forestPSD_1.0.0.zip, r-oldrel: forestPSD_1.0.0.zip |
macOS binaries: | r-release (arm64): forestPSD_1.0.0.tgz, r-oldrel (arm64): forestPSD_1.0.0.tgz, r-release (x86_64): forestPSD_1.0.0.tgz, r-oldrel (x86_64): forestPSD_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=forestPSD 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.
Health stats visible at Monitor.