🌐 Geodetic Codex V9.4

🔍 Objectives

• Locate persistent stress-focusing nodes across scales (site → corridor → global).
• Quantify multipliers linking forcing amplitude → geologic release.
• Export node weights/uncertainties for catastrophe-window testing (V9.7).

🧠 Key Concepts

• Geometric focusing at plate corners, triple junctions, arc–rift intersections, transform step-overs.
• Inherited anisotropy (fault fabrics, sutures, failed rifts) acting as waveguides for stress and fluids.
• Chi-rhombant geometry (3-up/1-down) as a node selector within the V3 geodesic mesh.

🗂️ Node Taxonomy

• Rift & back-arc hinges (continental & oceanic), triple-junction clusters.
• Subduction fore-arc/outer-rise + slab-window margins; back-arc spreading centers.
• Craton margins & keel flanks; lithospheric step-changes; LIP/plume-head perimeters.
• Transform corridors, restraining/releasing bends, step-overs.
• Inherited sutures, orogens, failed rifts, dyke swarms; hydro-cryosphere couplers.

📦 Data Inputs

• Global plate boundaries (PB2002/updated), focal mechanisms, PGA/stress tensors, heat-flow maps.
• Seismicity catalogs (mb/Mw, depth, time), GNSS strain, Bouguer/gravity anomalies, geoid.
• Codex anomaly pairs (trough ↔ counterweight), V3 geodesic mesh, V9.1–9.3 orbital pacing fields.

🧪 Methods

1. Event density & persistence: multi-scale KDE of seismic/volcanic/uplift events with rolling windows.
2. Co-location indices: overlap of stress, strain, gravity, and heat-flow extrema at mesh nodes.
3. Harmonic alignment: cross-correlate node time series with orbital indices (precession/obliquity/eccentricity).
4. Node scoring: composite weighting (see formula) with bootstrapped uncertainties.
5. Back-testing: validate against historical pulses, isostatic rebound rates, LIP emplacement epochs.

🧮 Scoring & Multipliers

All sub-scores on 0–3 ordinal scales unless noted; weights can be tuned during V9.7 calibration.

• Persistence (P): stability of node activity across epochs.
• Coupling (C): co-occurrence of stress/strain/heat-flow/gravity anomalies.
• Release (R): magnitude–frequency (Mw tail, uplift rates, eruption volume proxies).
• Geometry (G): focusing efficiency (triple-junctions, step-overs, chi-rhombant conformity).
• Memory (M): inherited fabrics & scars (failed rifts, sutures, dyke swarms).

NodeScore = wP·P + wC·C + wR·R + wG·G + wM·M
Multiplier  = f(NodeScore, local Q, crustal thickness, fluid availability)

🗺️ Figures

• Global resonance node map (ranked), with uncertainty halos.
• Chord diagrams: troughs ↔ counterweights along corridors.
• Time-slice panels showing node activation vs. orbital pacing.

✅ Outputs

• ranked_nodes.geojson — properties: score, multiplier, class, P,C,R,G,M, sigma.
• node_timeseries.csv — activations vs. orbital indices for V9.7 ingestion.
• figures/ — static svgs + JSON specs for re-render.

🧰 Minimal Schema (GeoJSON feature properties)

{
  "id": "RJ-TRI-001",
  "class": "triple_junction",
  "layers": ["V3","V9"],
  "score": 2.7,
  "multiplier": 1.9,
  "P": 3, "C": 2, "R": 2, "G": 3, "M": 2,
  "sigma": 0.3,
  "notes": "Arc–rift–transform; inherited dyke swarm; strong heat-flow ridge."
}

🧪 QA & Validation

• Spatial cross-validation (k-fold by corridor) to guard against leakage.
• Permutation tests of orbital alignments vs. shuffled epochs.
• Sensitivity runs on weights (wP..wM) and kernel bandwidths.

🔗 Integration

• V9.5: anomaly symmetry checks — throttle multipliers by counterweight health.
• V9.7: catastrophe windows — nodes provide location priors & scaling.
• V9.8: analogue planets — export node classes for off-world mapping.

📚 References (to stage)

• Global stress/strain catalogs; gravity & heat-flow datasets; plate boundary models.