Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011448
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.083
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870010701
distance 0.083
#2 · Nashikcell 4870011329
distance 0.1
#3 · Nashikcell 4870008976
distance 0.102
#4 · Nashikcell 4870010182
distance 0.11
#5 · Nashikcell 4870011452
distance 0.117
#6 · Nashikcell 4870010180
distance 0.124
#7 · Nashikcell 4870009534
distance 0.13
#8 · Nashikcell 4870011086
distance 0.136
#9 · Nashikcell 4870010191
distance 0.136
#10 · Nashikcell 4870011331
distance 0.138
#11 · Nashikcell 4870011093
distance 0.139
#12 · Nashikcell 4870011567
distance 0.139
#13 · Nashikcell 4870011569
distance 0.139
#14 · Nashikcell 4870010445
distance 0.149
#15 · Nashikcell 4870008690
distance 0.15
#16 · Nashikcell 4870010444
distance 0.15
#17 · Nashikcell 4870011210
distance 0.154
#18 · Nashikcell 4870011460
distance 0.154
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":4870011448}}}'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.