Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870006423

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 2 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.221

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870005126

distance 0.221

#2 · Nashikcell 4870005857

distance 0.224

#3 · Nashikcell 4870006739

distance 0.273

#4 · Nashikcell 4870008472

distance 0.283

#5 · Nashikcell 4870004244

distance 0.3

#6 · Punecell 4900001226

distance 0.307 · cross-district

#7 · Nashikcell 4870010920

distance 0.31

#8 · Nashikcell 4870005997

distance 0.314

#9 · Nashikcell 4870005140

distance 0.315

#10 · Nashikcell 4870003924

distance 0.315

#11 · Nashikcell 4870005421

distance 0.319

#12 · Nashikcell 4870004969

distance 0.322

#13 · Nashikcell 4870006287

distance 0.326

#14 · Nashikcell 4870005268

distance 0.331

#15 · Nashikcell 4870007750

distance 0.341

#16 · Nashikcell 4870007464

distance 0.342

#17 · Nashikcell 4870003663

distance 0.344

#18 · Nashikcell 4870006000

distance 0.345

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":4870006423}}}'

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.