Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850007407

The MH-36 locality cells most similar to this Nanded 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 13 distinct districts

Index confidence

0.92

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 · Beedcell 4700005300

distance 0.407 · cross-district

#2 · Dhulecell 4740001129

distance 0.436 · cross-district

#3 · Yavatmalcell 5000006018

distance 0.451 · cross-district

#4 · Nashikcell 4870013062

distance 0.452 · cross-district

#5 · Nashikcell 4870007534

distance 0.458 · cross-district

#6 · Buldhanacell 4720002865

distance 0.464 · cross-district

#7 · Beedcell 4700001351

distance 0.467 · cross-district

#8 · Ahmednagarcell 4660012737

distance 0.467 · cross-district

#9 · Yavatmalcell 5000000500

distance 0.471 · cross-district

#10 · Parbhanicell 4890000644

distance 0.473 · cross-district

#11 · Jalnacell 4790001795

distance 0.479 · cross-district

#12 · Chhatrapati Sambhajinagarcell 4690004500

distance 0.484 · cross-district

#13 · Dharashivcell 4880002913

distance 0.489 · cross-district

#14 · Sanglicell 4930000822

distance 0.498 · cross-district

#15 · Laturcell 4810005818

distance 0.501 · cross-district

#16 · Nashikcell 4870013144

distance 0.503 · cross-district

#17 · Punecell 4900006898

distance 0.504 · cross-district

#18 · Dhulecell 4740002172

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":485,"cluster_id":4850007407}}}'

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.