Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870010776

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

0.2

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870009323

distance 0.2

#2 · Nashikcell 4870010383

distance 0.21

#3 · Nashikcell 4870011152

distance 0.221

#4 · Nashikcell 4870010906

distance 0.227

#5 · Nashikcell 4870011508

distance 0.235

#6 · Nashikcell 4870008899

distance 0.254

#7 · Nashikcell 4870010510

distance 0.259

#8 · Nashikcell 4870011507

distance 0.285

#9 · Nashikcell 4870011028

distance 0.29

#10 · Nashikcell 4870010507

distance 0.29

#11 · Nashikcell 4870010907

distance 0.293

#12 · Nashikcell 4870011030

distance 0.294

#13 · Nashikcell 4870010765

distance 0.305

#14 · Nashikcell 4870011265

distance 0.323

#15 · Nashikcell 4870010631

distance 0.325

#16 · Nashikcell 4870011269

distance 0.328

#17 · Dhulecell 4740003381

distance 0.334 · cross-district

#18 · Nashikcell 4870011150

distance 0.336

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":4870010776}}}'

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.