Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870012031

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

0.91

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 · Nashikcell 4870012240

distance 0.077

#2 · Nashikcell 4870012134

distance 0.079

#3 · Nashikcell 4870011911

distance 0.091

#4 · Nashikcell 4870011692

distance 0.095

#5 · Nashikcell 4870012674

distance 0.108

#6 · Nashikcell 4870012747

distance 0.112

#7 · Nashikcell 4870011691

distance 0.123

#8 · Nashikcell 4870012746

distance 0.124

#9 · Nashikcell 4870012032

distance 0.127

#10 · Nashikcell 4870011795

distance 0.128

#11 · Nashikcell 4870013161

distance 0.129

#12 · Nashikcell 4870012745

distance 0.135

#13 · Nashikcell 4870011800

distance 0.145

#14 · Nashikcell 4870013090

distance 0.148

#15 · Nashikcell 4870012948

distance 0.148

#16 · Nashikcell 4870010962

distance 0.149

#17 · Nashikcell 4870010314

distance 0.151

#18 · Nashikcell 4870008978

distance 0.151

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":4870012031}}}'

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.