Bouras 4D Geometry Method (B4DGM): Monte Carlo Validation and Reproducibility Package for Intermittent GNSS Navigation

This record contains the complete reproducibility package for the Bouras 4D Geometry Method (B4DGM) Monte Carlo validation under an intermittent GNSS scenario. The package includes: • Validation manuscript (PDF) • Python analysis script (analyze_mc.py) • Raw Monte Carlo benchmark datasets (mc_batch_a.json and mc_batch_b.json) The benchmark compares BRGF/B4DGM with Pure Inertial, Dead Reckoning, EKF, and Particle Filter using 50 independent Monte Carlo runs in a long-horizon intermittent GNSS scenario. The Python script reproduces the statistical analysis, confidence intervals, summary tables, and validation figures directly from the raw benchmark data. This dataset is provided to support transparency, independent verification, and reproducible scientific research.