Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008516
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.285
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008661
distance 0.285
#2 · Nashikcell 4870008805
distance 0.3
#3 · Nashikcell 4870011107
distance 0.322
#4 · Nashikcell 4870008369
distance 0.331
#5 · Nashikcell 4870010566
distance 0.334
#6 · Nashikcell 4870011454
distance 0.339
#7 · Nashikcell 4870011114
distance 0.341
#8 · Nashikcell 4870009244
distance 0.345
#9 · Chhatrapati Sambhajinagarcell 4690002112
distance 0.349 · cross-district
#10 · Ahmednagarcell 4660014110
distance 0.354 · cross-district
#11 · Nashikcell 4870012814
distance 0.359
#12 · Sataracell 4940000715
distance 0.36 · cross-district
#13 · Nashikcell 4870008515
distance 0.362
#14 · Nashikcell 4870009939
distance 0.363
#15 · Nashikcell 4870010568
distance 0.365
#16 · Sataracell 4940000374
distance 0.374 · cross-district
#17 · Amravaticell 4680007335
distance 0.374 · cross-district
#18 · Nashikcell 4870011562
distance 0.375
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":4870008516}}}'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.