Supplementary Material for "Revealing Spatiotemporal Deformation Patterns through Time-Dependent Clustering of GNSS Data in the Japanese Islands"

Supplementary Material for the articleGabsatarov, Y.; Vladimirova, I.; Ignatyev, D.; Scheveva, N.“Revealing Spatiotemporal Deformation Patterns through Time-Dependent Clustering of GNSS Data in the Japanese Islands”submitted to MDPI Algorithms journal (Manuscript ID: algorithms-4018520). This archive contains figures and analysis outputs related to the clustering of Japanese GNSS (GEONET) data, including: Geographic distributions and histograms of all features Results of clustering analysis of the steady-state velocity field (Figures S1–S5). Results of clustering analysis of regression-derived parameters (Figures S6–S16). Calculated plate motion velocities. Data and figures include feature inspection results, feature correlation heatmaps, pairwise ARI heatmaps, and ARI-based stability analyses for different feature sets.