Bhārata Strata · Maharashtra · Gondia · morphological twins

Places like cell 4760000284

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

0.059

lower = more alike (weighted)

The twins, closest first

#1 · Gondiacell 4760000318

distance 0.059

#2 · Gondiacell 4760000533

distance 0.071

#3 · Gondiacell 4760000645

distance 0.076

#4 · Gondiacell 4760000589

distance 0.108

#5 · Gondiacell 4760000281

distance 0.112

#6 · Gondiacell 4760000317

distance 0.123

#7 · Gondiacell 4760000703

distance 0.125

#8 · Gondiacell 4760000093

distance 0.128

#9 · Gondiacell 4760000483

distance 0.147

#10 · Gondiacell 4760000646

distance 0.154

#11 · Gondiacell 4760000283

distance 0.157

#12 · Gondiacell 4760000351

distance 0.164

#13 · Gondiacell 4760000352

distance 0.164

#14 · Gondiacell 4760001369

distance 0.167

#15 · Gondiacell 4760000420

distance 0.176

#16 · Gondiacell 4760001298

distance 0.177

#17 · Gondiacell 4760000218

distance 0.179

#18 · Gondiacell 4760001335

distance 0.181

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":4760000284}}}'

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.