Bhārata Strata · Maharashtra · Ahmednagar · morphological twins

Places like cell 4660004802

The MH-36 locality cells most similar to this Ahmednagar 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 7 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.149

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660004801

distance 0.149

#2 · Beedcell 4700004374

distance 0.161 · cross-district

#3 · Chhatrapati Sambhajinagarcell 4690001709

distance 0.181 · cross-district

#4 · Chhatrapati Sambhajinagarcell 4690001706

distance 0.204 · cross-district

#5 · Nashikcell 4870007896

distance 0.206 · cross-district

#6 · Ahmednagarcell 4660005172

distance 0.208

#7 · Beedcell 4700006362

distance 0.21 · cross-district

#8 · Chhatrapati Sambhajinagarcell 4690001782

distance 0.213 · cross-district

#9 · Kolhapurcell 4800002498

distance 0.215 · cross-district

#10 · Beedcell 4700003499

distance 0.219 · cross-district

#11 · Nashikcell 4870007751

distance 0.219 · cross-district

#12 · Dharashivcell 4880003357

distance 0.22 · cross-district

#13 · Beedcell 4700005041

distance 0.222 · cross-district

#14 · Kolhapurcell 4800001338

distance 0.223 · cross-district

#15 · Solapurcell 4960008631

distance 0.224 · cross-district

#16 · Nashikcell 4870006274

distance 0.224 · cross-district

#17 · Solapurcell 4960009123

distance 0.225 · cross-district

#18 · Ahmednagarcell 4660008915

distance 0.226

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":466,"cluster_id":4660004802}}}'

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.