Bhārata Strata · Maharashtra · Gondia · morphological twins

Places like cell 4760004397

The MH-36 locality cells most similar to this Gondia 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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.141

lower = more alike (weighted)

The twins, closest first

#1 · Gondiacell 4760004335

distance 0.141

#2 · Gondiacell 4760003666

distance 0.143

#3 · Gondiacell 4760003607

distance 0.157

#4 · Gondiacell 4760003883

distance 0.157

#5 · Gondiacell 4760004393

distance 0.157

#6 · Gondiacell 4760003923

distance 0.163

#7 · Gondiacell 4760003753

distance 0.166

#8 · Gondiacell 4760003922

distance 0.167

#9 · Gondiacell 4760004428

distance 0.167

#10 · Gondiacell 4760003549

distance 0.169

#11 · Gondiacell 4760004242

distance 0.171

#12 · Gondiacell 4760004475

distance 0.173

#13 · Gondiacell 4760003766

distance 0.175

#14 · Gondiacell 4760004158

distance 0.178

#15 · Gondiacell 4760004369

distance 0.182

#16 · Gondiacell 4760003930

distance 0.182

#17 · Gondiacell 4760003601

distance 0.182

#18 · Gondiacell 4760004388

distance 0.184

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":476,"cluster_id":4760004397}}}'

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.