https://github.com/umr-amap/BIOMASS
https://github.com/umr-amap/BIOMASS
Last synced: 3 days ago
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- Host: GitHub
- URL: https://github.com/umr-amap/BIOMASS
- Owner: umr-amap
- Created: 2018-09-03T07:58:57.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-04-24T09:45:54.000Z (17 days ago)
- Last Synced: 2025-04-25T12:06:53.267Z (16 days ago)
- Language: R
- Homepage: https://umr-amap.github.io/BIOMASS/
- Size: 414 MB
- Stars: 27
- Watchers: 7
- Forks: 18
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS
Awesome Lists containing this project
- open-sustainable-technology - BIOMASS - An R package for estimating aboveground biomass and its uncertainty in tropical forests. (Biosphere / Biomass)
README
BIOMASS
================
## The package
The `BIOMASS` package allows users to estimate above ground biomass/carbon and its uncertainty in tropical forests.
The main implemented steps are as follows :
1. retrieving and correcting tree taxonomy;
2. estimating wood density and its uncertainty;
3. building height-diameter models;
4. estimating above ground biomass/carbon at stand level with associated uncertainty;
5. managing tree and plot coordinates.
For more information, see [Réjou-Méchain et al. (2017)](https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.12753)
## Install BIOMASS
The latest released version from CRAN:
``` r
install.packages("BIOMASS")
```
The latest version from Github (in development):
``` r
install.packages("remotes")
remotes::install_github('umr-amap/BIOMASS')
```
To use it :
``` r
library("BIOMASS")
```
## Tutorials/Vignettes
Two vignettes are available in the 'Articles' section of the following page : [https://umr-amap.github.io/BIOMASS/index.html](https://umr-amap.github.io/BIOMASS/index.html)
## Citation
Please cite this package as:
*Réjou-Méchain M, Tanguy A, Piponiot C, Chave J, Herault B* (2017). “BIOMASS : an R package for estimating above-ground biomass and its uncertainty in tropical forests.” _Methods in Ecology and Evolution_, *8*(9). ISSN 2041210X, [doi:10.1111/2041-210X.12753](https://doi.org/10.1111/2041-210X.12753).
Or you can also run
``` r
citation("BIOMASS")
```