Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850009060

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 10 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.201

lower = more alike (weighted)

The twins, closest first

#1 · Washimcell 4990002939

distance 0.201 · cross-district

#2 · Jalgaoncell 4780002428

distance 0.205 · cross-district

#3 · Washimcell 4990003100

distance 0.205 · cross-district

#4 · Chandrapurcell 4730005746

distance 0.209 · cross-district

#5 · Akolacell 4670000072

distance 0.211 · cross-district

#6 · Jalgaoncell 4780002859

distance 0.212 · cross-district

#7 · Solapurcell 4960004938

distance 0.213 · cross-district

#8 · Hingolicell 4770000872

distance 0.215 · cross-district

#9 · Chandrapurcell 4730002871

distance 0.215 · cross-district

#10 · Wardhacell 4980000836

distance 0.217 · cross-district

#11 · Chandrapurcell 4730006043

distance 0.217 · cross-district

#12 · Buldhanacell 4720001032

distance 0.221 · cross-district

#13 · Dharashivcell 4880000222

distance 0.222 · cross-district

#14 · Yavatmalcell 5000002113

distance 0.222 · cross-district

#15 · Washimcell 4990003014

distance 0.223 · cross-district

#16 · Jalgaoncell 4780002839

distance 0.224 · cross-district

#17 · Wardhacell 4980003110

distance 0.227 · cross-district

#18 · Jalgaoncell 4780003375

distance 0.228 · 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":4850009060}}}'

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.