Other packages > Find by keyword >

forestPSD  

Forest Population Structure and Numeric Dynamics
View on CRAN: Click here


Download and install forestPSD package within the R console
Install from CRAN:
install.packages("forestPSD")

Install from Github:
library("remotes")
install_github("cran/forestPSD")

Install by package version:
library("remotes")
install_version("forestPSD", "1.0.0")



Attach the package and use:
library("forestPSD")
Maintained by
Zongzheng Chai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-11
Latest Update: 2024-11-11
Description:
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>.
How to cite:
Zongzheng Chai (2024). forestPSD: Forest Population Structure and Numeric Dynamics. R package version 1.0.0, https://cran.r-project.org/web/packages/forestPSD. Accessed 28 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 1.0.0 (2024-11-11 17:50)
Other packages that cited forestPSD R package
View forestPSD citation profile
Other R packages that forestPSD depends, imports, suggests or enhances
Complete documentation for forestPSD
Functions, R codes and Examples using the forestPSD R package
Full forestPSD package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
openintro  
Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and ...
Download / Learn more Package Citations See dependency  
daqapo  
Data Quality Assessment for Process-Oriented Data
Provides a variety of methods to identify data quality issues in process-oriented data, which are us ...
Download / Learn more Package Citations See dependency  
textmineR  
Functions for Text Mining and Topic Modeling
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides ...
Download / Learn more Package Citations See dependency  
NPBayesImputeCat  
Non-Parametric Bayesian Multiple Imputation for Categorical Data
These routines create multiple imputations of missing at random categorical data, and create multipl ...
Download / Learn more Package Citations See dependency  
ExplodeLayout  
Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership
Current layout algorithms such as Kamada Kawai do not take into consideration disjoint clusters in a ...
Download / Learn more Package Citations See dependency  

27,987

R Packages

239,283

Dependencies

74,234

Author Associations

27,988

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA