Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870013221

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

across 2 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.213

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870013155

distance 0.213

#2 · Nashikcell 4870012850

distance 0.249

#3 · Nashikcell 4870013414

distance 0.261

#4 · Nashikcell 4870012485

distance 0.269

#5 · Nashikcell 4870012851

distance 0.281

#6 · Nashikcell 4870012493

distance 0.283

#7 · Nashikcell 4870012704

distance 0.283

#8 · Nashikcell 4870012109

distance 0.284

#9 · Nashikcell 4870012715

distance 0.286

#10 · Nashikcell 4870013418

distance 0.288

#11 · Nashikcell 4870012723

distance 0.288

#12 · Nashikcell 4870013379

distance 0.294

#13 · Nashikcell 4870012854

distance 0.3

#14 · Nashikcell 4870013382

distance 0.3

#15 · Dhulecell 4740000828

distance 0.301 · cross-district

#16 · Nashikcell 4870013219

distance 0.302

#17 · Nashikcell 4870013279

distance 0.302

#18 · Nashikcell 4870013151

distance 0.302

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":4870013221}}}'

Machine-readable JSON twin →Full dossier →

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.