Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790004713

The MH-36 locality cells most similar to this Jalna 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 2 distinct districts

Index confidence

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.115

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790004641

distance 0.115

#2 · Jalnacell 4790004686

distance 0.124

#3 · Jalnacell 4790004822

distance 0.125

#4 · Jalnacell 4790004679

distance 0.138

#5 · Jalnacell 4790004775

distance 0.141

#6 · Jalnacell 4790004658

distance 0.145

#7 · Jalnacell 4790004694

distance 0.149

#8 · Jalnacell 4790004745

distance 0.165

#9 · Jalnacell 4790004652

distance 0.172

#10 · Jalnacell 4790004792

distance 0.172

#11 · Jalnacell 4790004759

distance 0.177

#12 · Jalnacell 4790004604

distance 0.188

#13 · Jalnacell 4790005158

distance 0.189

#14 · Jalnacell 4790004696

distance 0.194

#15 · Buldhanacell 4720000279

distance 0.194 · cross-district

#16 · Jalnacell 4790004692

distance 0.196

#17 · Jalnacell 4790004642

distance 0.199

#18 · Jalnacell 4790004677

distance 0.199

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":479,"cluster_id":4790004713}}}'

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.