ryusyaoming-glitch/shap-ml-soil-erosion: Spatiotemporal Soil Erosion Analysis Code (v1.0)
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901282606809088 |
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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 |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| 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 |