Bhārata Strata · Maharashtra · Gondia · morphological twins

Places like cell 4760004155

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

0.077

lower = more alike (weighted)

The twins, closest first

#1 · Gondiacell 4760004016

distance 0.077

#2 · Gondiacell 4760004071

distance 0.083

#3 · Gondiacell 4760003873

distance 0.126

#4 · Gondiacell 4760004156

distance 0.129

#5 · Gondiacell 4760004067

distance 0.141

#6 · Gondiacell 4760004056

distance 0.145

#7 · Gondiacell 4760003604

distance 0.146

#8 · Gondiacell 4760003977

distance 0.155

#9 · Gondiacell 4760004029

distance 0.156

#10 · Gondiacell 4760004482

distance 0.161

#11 · Gondiacell 4760004288

distance 0.161

#12 · Gondiacell 4760004162

distance 0.162

#13 · Gondiacell 4760003655

distance 0.164

#14 · Gondiacell 4760003754

distance 0.172

#15 · Gondiacell 4760004333

distance 0.175

#16 · Gondiacell 4760003608

distance 0.179

#17 · Gondiacell 4760004339

distance 0.181

#18 · Gondiacell 4760003881

distance 0.182

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":4760004155}}}'

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.