Data and code for: Cost-effective priorities for land carbon sink conservation in China
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/11619130
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资源简介：
This is the data and code for: Cost-effective priorities for land carbon sink conservation in China
The code in this study is organized into two parts:
machine_learning: This folder contains the code for training machine learning models and making predictions. The code, written in Python 3.8, runs on Ubuntu 20.04 with CUDA 11.8.
data_analysis: This folder includes the code for analyzing predictions and generating figures. The code is also written in Python 3.8 and can be executed on both Ubuntu and Windows environments.
All the code is provided as Jupyter Notebooks, allowing for immediate, step-by-step results.
The data generated by the code can be found in "00_data/output" directory within each folder.
创建时间：
2024-07-16
