Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870005508
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
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005367
distance 0.12
#2 · Nashikcell 4870006833
distance 0.138
#3 · Nashikcell 4870005206
distance 0.162
#4 · Nashikcell 4870005502
distance 0.172
#5 · Nashikcell 4870005647
distance 0.187
#6 · Nashikcell 4870005503
distance 0.194
#7 · Nashikcell 4870006375
distance 0.197
#8 · Nashikcell 4870005070
distance 0.198
#9 · Nashikcell 4870006231
distance 0.2
#10 · Nashikcell 4870006525
distance 0.207
#11 · Nashikcell 4870006376
distance 0.208
#12 · Nashikcell 4870008005
distance 0.21
#13 · Nashikcell 4870006681
distance 0.211
#14 · Nashikcell 4870007997
distance 0.213
#15 · Nashikcell 4870008144
distance 0.214
#16 · Nashikcell 4870005657
distance 0.214
#17 · Nashikcell 4870007996
distance 0.217
#18 · Nashikcell 4870006379
distance 0.222
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":4870005508}}}'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.