Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870001419

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 9 distinct districts

Index confidence

0.87

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.404

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660011621

distance 0.404 · cross-district

#2 · Nashikcell 4870001046

distance 0.492

#3 · Gadchirolicell 4750000064

distance 0.529 · cross-district

#4 · Ahmednagarcell 4660011136

distance 0.569 · cross-district

#5 · Buldhanacell 4720004768

distance 0.587 · cross-district

#6 · Kolhapurcell 4800002280

distance 0.597 · cross-district

#7 · Kolhapurcell 4800002182

distance 0.601 · cross-district

#8 · Gadchirolicell 4750000178

distance 0.606 · cross-district

#9 · Gadchirolicell 4750000040

distance 0.607 · cross-district

#10 · Buldhanacell 4720005865

distance 0.61 · cross-district

#11 · Ratnagiricell 4920000363

distance 0.62 · cross-district

#12 · Ahmednagarcell 4660011781

distance 0.624 · cross-district

#13 · Gadchirolicell 4750000130

distance 0.632 · cross-district

#14 · Akolacell 4670000304

distance 0.64 · cross-district

#15 · Nandurbarcell 4860004594

distance 0.645 · cross-district

#16 · Gadchirolicell 4750000658

distance 0.649 · cross-district

#17 · Gadchirolicell 4750000585

distance 0.65 · cross-district

#18 · Thanecell 4970000098

distance 0.655 · 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":4870001419}}}'

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.