Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870006720

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 1 distinct districts

Index confidence

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.211

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870004671

distance 0.211

#2 · Nashikcell 4870005399

distance 0.258

#3 · Nashikcell 4870006873

distance 0.276

#4 · Nashikcell 4870005683

distance 0.294

#5 · Nashikcell 4870005695

distance 0.302

#6 · Nashikcell 4870004675

distance 0.313

#7 · Nashikcell 4870004673

distance 0.314

#8 · Nashikcell 4870004820

distance 0.317

#9 · Nashikcell 4870005981

distance 0.346

#10 · Nashikcell 4870005392

distance 0.364

#11 · Nashikcell 4870004669

distance 0.366

#12 · Nashikcell 4870012467

distance 0.374

#13 · Nashikcell 4870004674

distance 0.376

#14 · Nashikcell 4870006128

distance 0.381

#15 · Nashikcell 4870006269

distance 0.382

#16 · Nashikcell 4870012288

distance 0.392

#17 · Nashikcell 4870006409

distance 0.399

#18 · Nashikcell 4870004962

distance 0.402

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":4870006720}}}'

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.