Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870010389

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.218

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870010260

distance 0.218

#2 · Nashikcell 4870009597

distance 0.243

#3 · Nashikcell 4870010785

distance 0.247

#4 · Nashikcell 4870009470

distance 0.252

#5 · Nashikcell 4870009196

distance 0.253

#6 · Nashikcell 4870011514

distance 0.255

#7 · Nashikcell 4870008196

distance 0.256

#8 · Nashikcell 4870009469

distance 0.265

#9 · Nashikcell 4870001932

distance 0.266

#10 · Nashikcell 4870011033

distance 0.267

#11 · Nashikcell 4870011408

distance 0.271

#12 · Nashikcell 4870009468

distance 0.272

#13 · Nashikcell 4870011282

distance 0.275

#14 · Nashikcell 4870010652

distance 0.275

#15 · Nashikcell 4870011407

distance 0.276

#16 · Nashikcell 4870011036

distance 0.276

#17 · Nashikcell 4870010780

distance 0.277

#18 · Nashikcell 4870009332

distance 0.278

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":4870010389}}}'

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.