Functional and historical drivers of leaf shape evolution in Palms (Arecaceae)

This repository contains the supplementary material, data, and scripts associated with the manuscript titled "<strong>Plant height predicts leaf shape in palms (Arecaceae)"</strong> <br> The figure legends for the supplementary figures are in the word document. <br> The data we used is in the folder data_files except for the CHELSA climate layers which are available online. <br> The notebooks folder contains annotated python notebooks to generate the data matrices from the raw layers, annotate the species traits as well as solving taxonomic incongruences in the GBIF data, run the analyses, and produce the figures. <br> The folder chains contains the figures of the chains from the MCMC GLMMs and a table summary for the estimates. <br> The folder notebooks/Rscripts contain all the R scripts used for running the MCMC GLMMs in a high-performance computing facility. <br> The folder scipts contain two scripts (python and batch) to process the text files resulting from the MCMC GLMM runs.

本仓库包含与题为《棕榈科（Arecaceae）植物高度预测叶片形态》的手稿相关的补充材料、数据集与代码脚本。
补充图的图注均存储于Word文档中。
本次研究使用的数据集均存放于data_files文件夹中，仅CHELSA气候图层可在线获取。
notebooks文件夹内包含带详细注释的Python交互式脚本，可用于从原始图层生成数据矩阵、注释物种性状、修正GBIF（全球生物多样性信息设施，Global Biodiversity Information Facility）数据中的分类学不一致问题、运行分析流程以及生成可视化图表。
chains文件夹内存储了MCMC GLMM（马尔可夫链蒙特卡洛广义线性混合模型，Markov Chain Monte Carlo Generalized Linear Mixed Models）的马尔可夫链可视化结果图表，以及参数估计值的表格汇总文件。
notebooks/Rscripts文件夹包含了所有用于在高性能计算集群中运行MCMC GLMM的R脚本。
scripts文件夹包含两个脚本（Python脚本与批处理脚本），用于处理MCMC GLMM运行后生成的文本文件。