Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011148
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011269
distance 0.129
#2 · Nashikcell 4870010765
distance 0.236
#3 · Nashikcell 4870010906
distance 0.242
#4 · Nashikcell 4870009713
distance 0.293
#5 · Nandurbarcell 4860000463
distance 0.297 · cross-district
#6 · Nashikcell 4870011152
distance 0.3
#7 · Nandurbarcell 4860002892
distance 0.305 · cross-district
#8 · Nashikcell 4870011147
distance 0.312
#9 · Nandurbarcell 4860000412
distance 0.32 · cross-district
#10 · Nashikcell 4870011264
distance 0.32
#11 · Nandurbarcell 4860000437
distance 0.321 · cross-district
#12 · Sindhudurgcell 4950003733
distance 0.326 · cross-district
#13 · Nashikcell 4870010500
distance 0.34
#14 · Nashikcell 4870010631
distance 0.343
#15 · Nashikcell 4870000578
distance 0.344
#16 · Nashikcell 4870011030
distance 0.347
#17 · Nashikcell 4870009323
distance 0.347
#18 · Sataracell 4940002265
distance 0.348 · 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":4870011148}}}'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.