Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008411
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.057
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011598
distance 0.057
#2 · Nashikcell 4870009274
distance 0.093
#3 · Nashikcell 4870011479
distance 0.096
#4 · Nashikcell 4870011596
distance 0.099
#5 · Nashikcell 4870008557
distance 0.108
#6 · Nashikcell 4870008558
distance 0.123
#7 · Jalgaoncell 4780001246
distance 0.137 · cross-district
#8 · Jalgaoncell 4780001176
distance 0.143 · cross-district
#9 · Nashikcell 4870011595
distance 0.147
#10 · Nashikcell 4870011486
distance 0.148
#11 · Nashikcell 4870012963
distance 0.152
#12 · Nashikcell 4870011603
distance 0.153
#13 · Dhulecell 4740000250
distance 0.155 · cross-district
#14 · Jalgaoncell 4780001258
distance 0.155 · cross-district
#15 · Nashikcell 4870009954
distance 0.156
#16 · Jalgaoncell 4780001549
distance 0.157 · cross-district
#17 · Nashikcell 4870008704
distance 0.157
#18 · Nandurbarcell 4860002496
distance 0.16 · cross-district
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":4870008411}}}'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.