Eastern North Carolina coastal vegetation inventory

This project was originally designed and implemented by Ben Poulter in 2003/2004 to investigate vegetation composition across a gradient of saltwater exposure. The study was then replicated by Paul Taillie in 2016/2017 to investigate vegetation change. The files are grouped in an R project and thus are relatively linked. This means that you do not have to change your working directory to get scripts to run on your machine. Simply unzip the folder, open R, select file>open project>browse to the unzipped folder>click the Rproject file called "APPveg_data." Each script starts with a preamble that will clear your workspace and load the required packages. You may have to install packages first if they are not yet installed on your machine. Otherwise, the script should run from start to finish. Non-R users can still access the raw data easily, which is in .csv format.

本项目由Ben Poulter于2003至2004年间最初设计并实施，旨在探究不同盐水暴露梯度下的植被组成特征。后续Paul Taillie于2016至2017年对该研究进行了重复实验，以考察植被动态变化。所有文件以R项目形式组织，因此关联性较强：用户无需更改工作目录即可在本地运行脚本。仅需解压文件夹，打开R软件，依次选择「文件>打开项目>浏览至解压后的文件夹」，点击名为"APPveg_data"的R项目文件即可。每份脚本开篇均带有初始化代码段，可清空当前工作区并加载所需依赖包。若本地尚未安装相关依赖包，则需先行完成安装；否则脚本可直接从头运行至结束。非R语言用户也可便捷获取原始数据，其格式为.csv文件。