Data and scripts for the publication "Five years of offsetting native vegetation: The challenge of achieving no-net-loss"
收藏DataCite Commons2025-09-11 更新2025-05-18 收录
下载链接:
https://research-repository.rmit.edu.au/articles/dataset/Data_and_scripts_for_publication_Five_years_of_offsetting_native_vegetation_risks_uncertainties_and_challenges_for_achieving_no-net-loss_/29036975
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资源简介:
The zip file contains the data and R markdown script to generate all the figures in the publication “Five years of offsetting native vegetation: the challenge of achieving no-net-loss" published in Ecological Indicators.<br><br>Pre-processing of the Biodiversity Offsets Assessment Management System<br>data set, the BAM calculations of VI and ecosystem credits along with the sensitivity analysis and offset area ratio simulation were undertaken in R (R Core Team, 2024). The zip file contains the resulting data from this analysis, together with the R code to generate the figures the manuscript. The resulting dataset has been de-identified, such that original assessment, zone, and plot identifiers have been replaced and location data removed. For more details see the Supplementary Information (Section S3).<br><br>To generate the figures in the paper, please execute the file R markdown file: plot_figures_bamvi_ms1.Rmd and see the file README.txt for more details on running the code. The easiest way to run the file is in RStudio. <br>References<br>R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org<br><br>
提供机构:
RMIT University
创建时间:
2025-05-12



