Data and code for: Cost-effective priorities for land carbon sink conservation in China

<p>This is the data and code for: Cost-effective priorities for land carbon sink conservation in China</p> <p>The code in this study is organized into two parts:</p> <ol> <li><strong>machine_learning:</strong> 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.</li> <li><strong>data_analysis:</strong> 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.</li> </ol> <p>All the code is provided as Jupyter Notebooks, allowing for immediate, step-by-step results.</p> <p>The data generated by the code can be found in "00_data/output" directory within each folder.</p>