Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870010583

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 9 distinct districts

Index confidence

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.375

lower = more alike (weighted)

The twins, closest first

#1 · Chhatrapati Sambhajinagarcell 4690001887

distance 0.375 · cross-district

#2 · Chhatrapati Sambhajinagarcell 4690003602

distance 0.395 · cross-district

#3 · Jalgaoncell 4780005334

distance 0.41 · cross-district

#4 · Kolhapurcell 4800004616

distance 0.435 · cross-district

#5 · Akolacell 4670001920

distance 0.436 · cross-district

#6 · Jalgaoncell 4780005611

distance 0.441 · cross-district

#7 · Jalgaoncell 4780006365

distance 0.451 · cross-district

#8 · Nashikcell 4870010710

distance 0.46

#9 · Akolacell 4670002306

distance 0.47 · cross-district

#10 · Kolhapurcell 4800004704

distance 0.48 · cross-district

#11 · Akolacell 4670002151

distance 0.484 · cross-district

#12 · Amravaticell 4680002335

distance 0.487 · cross-district

#13 · Kolhapurcell 4800005054

distance 0.495 · cross-district

#14 · Washimcell 4990003025

distance 0.498 · cross-district

#15 · Jalgaoncell 4780003393

distance 0.5 · cross-district

#16 · Buldhanacell 4720005681

distance 0.508 · cross-district

#17 · Amravaticell 4680001948

distance 0.51 · cross-district

#18 · Sanglicell 4930000542

distance 0.511 · cross-district

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":4870010583}}}'

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.