| Type: | Package |
| Title: | Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations |
| Version: | 0.1.0 |
| Author: | M. Iqbal Jeelani [aut, cre], Fehim Jeelani [aut], Syed Naseem Geelani [aut], Md Yeasin [aut] |
| Maintainer: | M. Iqbal Jeelani <jeelani.miqbal@gmail.com> |
| Description: | Volume prediction is one of challenging task in forestry research. This package is a comprehensive toolset designed for the fitting and validation of various linear and nonlinear allometric equations (Linear, Log-Linear, Inverse, Quadratic, Cubic, Compound, Power and Exponential) used in the prediction of conifer tree volume. This package is particularly useful for forestry professionals, researchers, and resource managers engaged in assessing and estimating the volume of coniferous trees. This package has been developed using the algorithm of Sharma et al. (2017) <doi:10.13140/RG.2.2.33786.62407>. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| Imports: | stats, tidyverse, nls2, caret, ggplot2, dplyr, tidyr |
| RoxygenNote: | 7.2.1 |
| Depends: | R (≥ 2.10) |
| NeedsCompilation: | no |
| Packaged: | 2023-12-02 07:26:08 UTC; YEASIN |
| Repository: | CRAN |
| Date/Publication: | 2023-12-04 16:50:05 UTC |
Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations
Description
Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations
Usage
ImVoL(data)
Arguments
data |
Datasets |
Value
results: Results
References
Sharma, A., Gupta.R.K., Mahajan, P.K and Shilp. 2017.Volume Equation for Cedrus deodara in Kullu District of Himachal Pradesh. Indian Journal of Ecology . 44(6) : 781-784.http://dx.doi.org/10.13140/RG.2.2.33786.62407
Tabassum, A., Jeelani, M.I.,Sharma,M., Rather, K R ., Rashid, I and Gul,M.2022. Predictive Modelling of Height and Diameter Relationships of Himalayan Chir Pine .Agricultural Science Digest - A Research Journal. DOI:10.18805/ag.D-555
Examples
library("ImVol")
data <- system.file("extdata", "data_test.csv", package = "ImVol")
Data<- read.csv(data)
Vol <- ImVoL(Data)