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| license: cc |
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| # Cluster-wise Regression Reveals Drivers of Present-Day Glacier Changes |
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| TODO: add link paper |
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| This dataset contains glacier-level data used for cluster-wise glacier mass-balance regression. |
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| ## CSV data |
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| `df_mb_with_morpho_and_clim_GSWP3_W5E5.csv` contains one row per glacier, indexed by RGI ID. It includes selected morphological predictors, climate anomalies, location/region metadata, projected coordinates, observed mass balance (`mb`), and mass-balance uncertainty (`mb_err`). The main predictors used here are: |
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| - `slope_20prc` |
| - `z_mean` |
| - `area_debris_prc` |
| - `norm_contrib_area` |
| - `temp_anom_2000_to_2019` |
| - `prcp_anom_2000_to_2019` |
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| ## Cluster GeoPackages |
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| The files in `clusters_geocoded/` contain geocoded glacier points for each analysis region. Each file includes the glacier attributes above, a selected `cluster` label, and the full set of available clustering labels (`clabels_*`) for different numbers of clusters. |
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| Cluster labels were generated with the `SpatialRegWard` method. The GeoPackage geometries are point locations reprojected to the local CRS used for each region. |
