Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870005485

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 4 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.094

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870005792

distance 0.094

#2 · Nashikcell 4870005486

distance 0.101

#3 · Nashikcell 4870006083

distance 0.113

#4 · Chhatrapati Sambhajinagarcell 4690006261

distance 0.114 · cross-district

#5 · Chhatrapati Sambhajinagarcell 4690005664

distance 0.12 · cross-district

#6 · Chhatrapati Sambhajinagarcell 4690002529

distance 0.128 · cross-district

#7 · Nashikcell 4870006079

distance 0.13

#8 · Chhatrapati Sambhajinagarcell 4690005392

distance 0.132 · cross-district

#9 · Chhatrapati Sambhajinagarcell 4690005573

distance 0.133 · cross-district

#10 · Nashikcell 4870005636

distance 0.136

#11 · Ahmednagarcell 4660012217

distance 0.137 · cross-district

#12 · Chhatrapati Sambhajinagarcell 4690001230

distance 0.137 · cross-district

#13 · Ahmednagarcell 4660012810

distance 0.14 · cross-district

#14 · Ahmednagarcell 4660012376

distance 0.143 · cross-district

#15 · Buldhanacell 4720000127

distance 0.144 · cross-district

#16 · Chhatrapati Sambhajinagarcell 4690004051

distance 0.145 · cross-district

#17 · Nashikcell 4870005934

distance 0.147

#18 · Nashikcell 4870008115

distance 0.147

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":4870005485}}}'

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.