Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870002796

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 3 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.144

lower = more alike (weighted)

The twins, closest first

#1 · Chhatrapati Sambhajinagarcell 4690004324

distance 0.144 · cross-district

#2 · Nashikcell 4870004582

distance 0.146

#3 · Chhatrapati Sambhajinagarcell 4690005304

distance 0.16 · cross-district

#4 · Ahmednagarcell 4660014397

distance 0.16 · cross-district

#5 · Ahmednagarcell 4660014322

distance 0.165 · cross-district

#6 · Nashikcell 4870003999

distance 0.17

#7 · Nashikcell 4870005911

distance 0.171

#8 · Nashikcell 4870004435

distance 0.171

#9 · Ahmednagarcell 4660010708

distance 0.175 · cross-district

#10 · Chhatrapati Sambhajinagarcell 4690003942

distance 0.178 · cross-district

#11 · Ahmednagarcell 4660014517

distance 0.179 · cross-district

#12 · Chhatrapati Sambhajinagarcell 4690003546

distance 0.185 · cross-district

#13 · Nashikcell 4870003578

distance 0.187

#14 · Chhatrapati Sambhajinagarcell 4690003440

distance 0.188 · cross-district

#15 · Nashikcell 4870006343

distance 0.188

#16 · Chhatrapati Sambhajinagarcell 4690002441

distance 0.189 · cross-district

#17 · Chhatrapati Sambhajinagarcell 4690004852

distance 0.194 · cross-district

#18 · Nashikcell 4870003174

distance 0.195

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":4870002796}}}'

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.