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

Supplementary Material for the article
Gabsatarov, 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:

1. Geographic distributions and histograms of all features

2. Results of clustering analysis of the steady-state velocity field (Figures S1–S5).

3. Results of clustering analysis of regression-derived parameters (Figures S6–S16).

4. 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.