Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870009616

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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.168

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870009605

distance 0.168

#2 · Nashikcell 4870009603

distance 0.17

#3 · Nashikcell 4870009758

distance 0.181

#4 · Nashikcell 4870009065

distance 0.187

#5 · Nashikcell 4870008481

distance 0.189

#6 · Nashikcell 4870009598

distance 0.192

#7 · Nashikcell 4870011394

distance 0.2

#8 · Nashikcell 4870009478

distance 0.2

#9 · Nashikcell 4870011177

distance 0.209

#10 · Nashikcell 4870010270

distance 0.216

#11 · Nashikcell 4870009602

distance 0.221

#12 · Nashikcell 4870011399

distance 0.223

#13 · Nashikcell 4870011278

distance 0.226

#14 · Nashikcell 4870010663

distance 0.228

#15 · Nashikcell 4870010025

distance 0.231

#16 · Nashikcell 4870010026

distance 0.234

#17 · Nashikcell 4870010273

distance 0.235

#18 · Sataracell 4940006107

distance 0.24 · cross-district

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":4870009616}}}'

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.