Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850000747

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 1 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.058

lower = more alike (weighted)

The twins, closest first

#1 · Nandedcell 4850000461

distance 0.058

#2 · Nandedcell 4850000180

distance 0.099

#3 · Nandedcell 4850000413

distance 0.105

#4 · Nandedcell 4850000417

distance 0.106

#5 · Nandedcell 4850000750

distance 0.117

#6 · Nandedcell 4850001581

distance 0.121

#7 · Nandedcell 4850001052

distance 0.123

#8 · Nandedcell 4850000341

distance 0.124

#9 · Nandedcell 4850000506

distance 0.125

#10 · Nandedcell 4850000351

distance 0.125

#11 · Nandedcell 4850001179

distance 0.128

#12 · Nandedcell 4850000615

distance 0.129

#13 · Nandedcell 4850000409

distance 0.129

#14 · Nandedcell 4850002476

distance 0.131

#15 · Nandedcell 4850000265

distance 0.131

#16 · Nandedcell 4850001500

distance 0.132

#17 · Nandedcell 4850000354

distance 0.137

#18 · Nandedcell 4850001499

distance 0.138

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":4850000747}}}'

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.