Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870006959
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.068
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870006802
distance 0.068
#2 · Nashikcell 4870007969
distance 0.072
#3 · Nashikcell 4870006957
distance 0.074
#4 · Nashikcell 4870006503
distance 0.077
#5 · Nashikcell 4870006652
distance 0.087
#6 · Chhatrapati Sambhajinagarcell 4690005657
distance 0.09 · cross-district
#7 · Nashikcell 4870007970
distance 0.091
#8 · Chhatrapati Sambhajinagarcell 4690002538
distance 0.093 · cross-district
#9 · Nashikcell 4870005183
distance 0.094
#10 · Nashikcell 4870008260
distance 0.095
#11 · Nashikcell 4870005328
distance 0.102
#12 · Nashikcell 4870005330
distance 0.102
#13 · Nashikcell 4870004898
distance 0.103
#14 · Nashikcell 4870006496
distance 0.114
#15 · Nashikcell 4870005920
distance 0.115
#16 · Nashikcell 4870005327
distance 0.115
#17 · Chhatrapati Sambhajinagarcell 4690005747
distance 0.117 · cross-district
#18 · Nashikcell 4870004753
distance 0.118
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":4870006959}}}'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.