Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870013019

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

0.107

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870012876

distance 0.107

#2 · Nashikcell 4870012145

distance 0.109

#3 · Nashikcell 4870012247

distance 0.116

#4 · Nashikcell 4870012803

distance 0.117

#5 · Nashikcell 4870012581

distance 0.119

#6 · Nashikcell 4870012132

distance 0.123

#7 · Nashikcell 4870012143

distance 0.124

#8 · Nashikcell 4870008402

distance 0.132

#9 · Nashikcell 4870012598

distance 0.132

#10 · Nashikcell 4870012246

distance 0.135

#11 · Nashikcell 4870012338

distance 0.141

#12 · Nashikcell 4870013180

distance 0.144

#13 · Nashikcell 4870012419

distance 0.144

#14 · Nashikcell 4870012673

distance 0.148

#15 · Nashikcell 4870012813

distance 0.149

#16 · Nashikcell 4870012889

distance 0.153

#17 · Nashikcell 4870011808

distance 0.154

#18 · Nashikcell 4870011805

distance 0.154

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":4870013019}}}'

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.