Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012069
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 1 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.208
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870012262
distance 0.208
#2 · Nashikcell 4870008283
distance 0.231
#3 · Nashikcell 4870012067
distance 0.237
#4 · Nashikcell 4870011963
distance 0.24
#5 · Nashikcell 4870011957
distance 0.255
#6 · Nashikcell 4870008282
distance 0.26
#7 · Nashikcell 4870012168
distance 0.267
#8 · Nashikcell 4870009960
distance 0.27
#9 · Nashikcell 4870009829
distance 0.277
#10 · Nashikcell 4870010487
distance 0.278
#11 · Nashikcell 4870010489
distance 0.284
#12 · Nashikcell 4870011739
distance 0.284
#13 · Nashikcell 4870011840
distance 0.285
#14 · Nashikcell 4870008430
distance 0.285
#15 · Nashikcell 4870009703
distance 0.286
#16 · Nashikcell 4870010359
distance 0.296
#17 · Nashikcell 4870012066
distance 0.298
#18 · Nashikcell 4870010488
distance 0.3
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":4870012069}}}'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.