Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004648
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
0.1
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005063
distance 0.1
#2 · Nashikcell 4870004789
distance 0.109
#3 · Nashikcell 4870004937
distance 0.112
#4 · Nashikcell 4870005955
distance 0.113
#5 · Nashikcell 4870007861
distance 0.113
#6 · Nashikcell 4870006991
distance 0.117
#7 · Nashikcell 4870007716
distance 0.118
#8 · Nashikcell 4870007275
distance 0.121
#9 · Nashikcell 4870008146
distance 0.126
#10 · Nashikcell 4870004647
distance 0.126
#11 · Nashikcell 4870005815
distance 0.127
#12 · Nashikcell 4870005374
distance 0.127
#13 · Nashikcell 4870007268
distance 0.13
#14 · Nashikcell 4870007711
distance 0.132
#15 · Nashikcell 4870006983
distance 0.134
#16 · Nashikcell 4870004783
distance 0.134
#17 · Nashikcell 4870004784
distance 0.136
#18 · Nashikcell 4870006838
distance 0.146
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":4870004648}}}'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.