ryusyaoming-glitch/shap-ml-soil-erosion: Spatiotemporal Soil Erosion Analysis Code (v1.0)

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Autore principale: ryusyaoming-glitch
Natura: Recurso digital
Pubblicazione: Zenodo 2025
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author ryusyaoming-glitch
author_facet ryusyaoming-glitch
contents <p>This release contains the Python scripts for reproducing the analyses in the paper: "Spatiotemporal Characteristics and Driving Factors of Soil Erosion in the Kangding River Basin (Southwest China) Based on the RUSLE Model" by Yuqi Guan.</p> <p>Included:</p> <ul> <li>shap_models.py: Python script for training CatBoost, XGBoost, LightGBM models and computing SHAP values</li> <li>README.md: Instructions for running the code</li> <li>requirements.txt: List of Python dependencies</li> </ul> <p>Data file (data.csv) should be placed in the same folder as the scripts. SHAP outputs will be saved under 'shap_results/'.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17205433
institution Zenodo
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publishDate 2025
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spellingShingle ryusyaoming-glitch/shap-ml-soil-erosion: Spatiotemporal Soil Erosion Analysis Code (v1.0)
ryusyaoming-glitch
<p>This release contains the Python scripts for reproducing the analyses in the paper: "Spatiotemporal Characteristics and Driving Factors of Soil Erosion in the Kangding River Basin (Southwest China) Based on the RUSLE Model" by Yuqi Guan.</p> <p>Included:</p> <ul> <li>shap_models.py: Python script for training CatBoost, XGBoost, LightGBM models and computing SHAP values</li> <li>README.md: Instructions for running the code</li> <li>requirements.txt: List of Python dependencies</li> </ul> <p>Data file (data.csv) should be placed in the same folder as the scripts. SHAP outputs will be saved under 'shap_results/'.</p>
title ryusyaoming-glitch/shap-ml-soil-erosion: Spatiotemporal Soil Erosion Analysis Code (v1.0)
url https://doi.org/10.5281/zenodo.17205433