Kaydedildi:
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Recurso digital |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Zenodo
2025
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| Konular: | |
| Online Erişim: | https://doi.org/10.5281/zenodo.17843401 |
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İçindekiler:
- <p>Supplementary Material for the article<br>Gabsatarov, Y.; Vladimirova, I.; Ignatyev, D.; Scheveva, N.<br><em>“Revealing Spatiotemporal Deformation Patterns through Time-Dependent Clustering of GNSS Data in the Japanese Islands”</em><br>submitted to <em>MDPI Algorithms journal (Manuscript ID: <span lang="EN-US">algorithms-4018520</span>)</em>.</p> <p>This archive contains figures and analysis outputs related to the clustering of Japanese GNSS (GEONET) data, including:</p> <ol> <li>Geographic distributions and histograms of all features</li> <li> <p>Results of clustering analysis of the steady-state velocity field (Figures S1–S5).</p> </li> <li> <p>Results of clustering analysis of regression-derived parameters (Figures S6–S16).</p> </li> <li> <p>Calculated plate motion velocities.</p> </li> </ol> <p>Data and figures include feature inspection results, feature correlation heatmaps, pairwise ARI heatmaps, and ARI-based stability analyses for different feature sets.</p>