Supplementary Material: Spatial Development Dynamics Framework: Computational Pipeline for Land-Cover Change Analysis in Sukabumi Regency, West Java, Indonesia

Modular Jupyter pipeline (21 notebooks) for quantifying land-cover transformation 2017–2025. Integrates Sentinel-2 annual LULC, administrative boundaries, spatial land-use plan (RTRW), digital elevation models, OpenStreetMap-derived distance rasters. Methods: stabilization filtering, intensity analysis, trajectory typology, transition network analysis, multi-scale spatial autocorrelation, landscape configuration metrics, machine learning (logistic regression, random forest, gradient boosting variants), planning conformity assessment. Outputs: tabular CSV results, GeoTIFF rasters, SHAP/LIME feature importance, statistical test reports. Reproducible via orchestrator script or notebook-by-notebook execution.