Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870006516

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.097

lower = more alike (weighted)

The twins, closest first

#1 · Chhatrapati Sambhajinagarcell 4690002540

distance 0.097 · cross-district

#2 · Chhatrapati Sambhajinagarcell 4690005561

distance 0.099 · cross-district

#3 · Chhatrapati Sambhajinagarcell 4690005476

distance 0.103 · cross-district

#4 · Chhatrapati Sambhajinagarcell 4690005469

distance 0.111 · cross-district

#5 · Chhatrapati Sambhajinagarcell 4690002637

distance 0.112 · cross-district

#6 · Nashikcell 4870006360

distance 0.112

#7 · Chhatrapati Sambhajinagarcell 4690005195

distance 0.119 · cross-district

#8 · Ahmednagarcell 4660010904

distance 0.122 · cross-district

#9 · Chhatrapati Sambhajinagarcell 4690002427

distance 0.122 · cross-district

#10 · Ahmednagarcell 4660009762

distance 0.123 · cross-district

#11 · Nashikcell 4870004754

distance 0.125

#12 · Ahmednagarcell 4660009938

distance 0.125 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690002943

distance 0.126 · cross-district

#14 · Chhatrapati Sambhajinagarcell 4690001466

distance 0.129 · cross-district

#15 · Chhatrapati Sambhajinagarcell 4690003746

distance 0.129 · cross-district

#16 · Nashikcell 4870005327

distance 0.13

#17 · Chhatrapati Sambhajinagarcell 4690002428

distance 0.133 · cross-district

#18 · Chhatrapati Sambhajinagarcell 4690005572

distance 0.133 · 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":4870006516}}}'

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.