Bhārata Strata · Maharashtra · Gondia · morphological twins

Places like cell 4760004365

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

0.082

lower = more alike (weighted)

The twins, closest first

#1 · Gondiacell 4760004436

distance 0.082

#2 · Gondiacell 4760004387

distance 0.088

#3 · Gondiacell 4760004329

distance 0.099

#4 · Gondiacell 4760004333

distance 0.111

#5 · Gondiacell 4760004451

distance 0.113

#6 · Gondiacell 4760004280

distance 0.116

#7 · Gondiacell 4760004353

distance 0.123

#8 · Gondiacell 4760004411

distance 0.124

#9 · Gondiacell 4760003702

distance 0.131

#10 · Gondiacell 4760004334

distance 0.137

#11 · Gondiacell 4760003531

distance 0.142

#12 · Gondiacell 4760003754

distance 0.144

#13 · Gondiacell 4760004327

distance 0.161

#14 · Gondiacell 4760003969

distance 0.162

#15 · Gondiacell 4760004442

distance 0.163

#16 · Gondiacell 4760003970

distance 0.166

#17 · Gondiacell 4760003872

distance 0.166

#18 · Gondiacell 4760004064

distance 0.166

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":4760004365}}}'

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.