Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870010869

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.136

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870010474

distance 0.136

#2 · Nashikcell 4870008824

distance 0.171

#3 · Nashikcell 4870009917

distance 0.195

#4 · Nashikcell 4870009818

distance 0.195

#5 · Nashikcell 4870009672

distance 0.197

#6 · Nashikcell 4870010344

distance 0.207

#7 · Nashikcell 4870009096

distance 0.21

#8 · Nashikcell 4870010348

distance 0.217

#9 · Nashikcell 4870010083

distance 0.22

#10 · Dhulecell 4740003538

distance 0.222 · cross-district

#11 · Nashikcell 4870009952

distance 0.229

#12 · Nashikcell 4870009536

distance 0.23

#13 · Nashikcell 4870011586

distance 0.236

#14 · Nashikcell 4870009381

distance 0.24

#15 · Nashikcell 4870009518

distance 0.24

#16 · Nashikcell 4870009649

distance 0.242

#17 · Nashikcell 4870009805

distance 0.244

#18 · Nashikcell 4870009406

distance 0.244

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":4870010869}}}'

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.