Representativeness of the Global Flux Observation Network: Patterns, Gaps, and Improvement Priorities

This repository contains the data and python code used to generate the analyses and figures presented in the manuscript: "Representativeness of the Global Flux Observation Network: Patterns, Gaps, and Improvement Priorities" by Xie et al. Contents /data: processed datasets supporting the findings of this study. /code: python scripts used for statistical analysis, modeling, and figure generation. Methods Full details of the experimental design, data processing, and statistical methods are available in the main manuscript. Non-commercial use only: Any commercial use is not permitted. No redistribution: Please do not redistribute or host these data files on other platforms or repositories.