Bhārata Strata · Maharashtra · Ahmednagar · morphological twins

Places like cell 4660008607

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 14 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.407

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870006628

distance 0.407 · cross-district

#2 · Ahmednagarcell 4660008608

distance 0.415

#3 · Nashikcell 4870007389

distance 0.44 · cross-district

#4 · Parbhanicell 4890000642

distance 0.448 · cross-district

#5 · Parbhanicell 4890002813

distance 0.449 · cross-district

#6 · Jalnacell 4790001794

distance 0.452 · cross-district

#7 · Yavatmalcell 5000000552

distance 0.458 · cross-district

#8 · Buldhanacell 4720002943

distance 0.459 · cross-district

#9 · Washimcell 4990000229

distance 0.476 · cross-district

#10 · Nandedcell 4850001410

distance 0.484 · cross-district

#11 · Dhulecell 4740002173

distance 0.486 · cross-district

#12 · Kolhapurcell 4800004020

distance 0.487 · cross-district

#13 · Jalgaoncell 4780003984

distance 0.491 · cross-district

#14 · Dhulecell 4740005110

distance 0.498 · cross-district

#15 · Jalgaoncell 4780007845

distance 0.499 · cross-district

#16 · Chhatrapati Sambhajinagarcell 4690001316

distance 0.501 · cross-district

#17 · Nagpurcell 4840004699

distance 0.505 · cross-district

#18 · Solapurcell 4960005000

distance 0.505 · 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":466,"cluster_id":4660008607}}}'

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.