Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870011396

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

0.123

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870011047

distance 0.123

#2 · Nashikcell 4870010003

distance 0.123

#3 · Nashikcell 4870011046

distance 0.143

#4 · Nashikcell 4870010913

distance 0.159

#5 · Nashikcell 4870011281

distance 0.169

#6 · Nashikcell 4870010007

distance 0.173

#7 · Nashikcell 4870011283

distance 0.176

#8 · Nashikcell 4870010793

distance 0.182

#9 · Nashikcell 4870009734

distance 0.182

#10 · Nashikcell 4870010663

distance 0.184

#11 · Nashikcell 4870008483

distance 0.184

#12 · Nashikcell 4870009878

distance 0.186

#13 · Nashikcell 4870010539

distance 0.187

#14 · Nashikcell 4870009471

distance 0.187

#15 · Nashikcell 4870009757

distance 0.192

#16 · Nashikcell 4870009070

distance 0.196

#17 · Nashikcell 4870010136

distance 0.202

#18 · Nashikcell 4870010403

distance 0.209

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":4870011396}}}'

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.