Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011571
The MH-36 locality cells most similar to this Nashik cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.266
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011326
distance 0.266
#2 · Nashikcell 4870011801
distance 0.27
#3 · Nashikcell 4870011583
distance 0.311
#4 · Nashikcell 4870010572
distance 0.318
#5 · Nashikcell 4870010471
distance 0.32
#6 · Nashikcell 4870008695
distance 0.32
#7 · Nashikcell 4870011790
distance 0.325
#8 · Amravaticell 4680003386
distance 0.328 · cross-district
#9 · Ahmednagarcell 4660003513
distance 0.329 · cross-district
#10 · Ahmednagarcell 4660007500
distance 0.331 · cross-district
#11 · Nashikcell 4870000941
distance 0.333
#12 · Nashikcell 4870013112
distance 0.336
#13 · Akolacell 4670001945
distance 0.341 · cross-district
#14 · Ahmednagarcell 4660006241
distance 0.343 · cross-district
#15 · Nashikcell 4870009387
distance 0.346
#16 · Nashikcell 4870012420
distance 0.349
#17 · Nashikcell 4870012753
distance 0.35
#18 · Punecell 4900003876
distance 0.352 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":487,"cluster_id":4870011571}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.