Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870012663

The MH-36 locality cells most similar to this Nashik 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

0.097

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870012436

distance 0.097

#2 · Nashikcell 4870012734

distance 0.115

#3 · Nashikcell 4870012656

distance 0.118

#4 · Nashikcell 4870012670

distance 0.128

#5 · Nashikcell 4870008552

distance 0.135

#6 · Nashikcell 4870012423

distance 0.145

#7 · Nashikcell 4870013104

distance 0.147

#8 · Nashikcell 4870008259

distance 0.154

#9 · Nashikcell 4870011935

distance 0.155

#10 · Nashikcell 4870012737

distance 0.157

#11 · Nashikcell 4870012810

distance 0.157

#12 · Nashikcell 4870012677

distance 0.158

#13 · Nashikcell 4870011915

distance 0.159

#14 · Nashikcell 4870007966

distance 0.162

#15 · Nashikcell 4870005907

distance 0.163

#16 · Nashikcell 4870007525

distance 0.163

#17 · Nashikcell 4870012434

distance 0.165

#18 · Nashikcell 4870007524

distance 0.168

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":487,"cluster_id":4870012663}}}'

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.