Bhārata Strata · Maharashtra · Gondia · morphological twins

Places like cell 4760001643

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.191

lower = more alike (weighted)

The twins, closest first

#1 · Gondiacell 4760000496

distance 0.191

#2 · Gondiacell 4760000217

distance 0.193

#3 · Gondiacell 4760000495

distance 0.209

#4 · Gondiacell 4760001171

distance 0.229

#5 · Gondiacell 4760000775

distance 0.234

#6 · Gondiacell 4760000891

distance 0.234

#7 · Gondiacell 4760001645

distance 0.234

#8 · Gondiacell 4760001124

distance 0.238

#9 · Gondiacell 4760000834

distance 0.239

#10 · Gondiacell 4760001616

distance 0.245

#11 · Gondiacell 4760000957

distance 0.247

#12 · Gondiacell 4760001693

distance 0.249

#13 · Gondiacell 4760000146

distance 0.252

#14 · Gondiacell 4760001731

distance 0.252

#15 · Gondiacell 4760001341

distance 0.254

#16 · Gondiacell 4760000890

distance 0.256

#17 · Gondiacell 4760000888

distance 0.256

#18 · Gondiacell 4760000095

distance 0.257

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":4760001643}}}'

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.