Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870004666

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

0.262

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870004665

distance 0.262

#2 · Nashikcell 4870005382

distance 0.291

#3 · Nashikcell 4870005242

distance 0.3

#4 · Nashikcell 4870005818

distance 0.3

#5 · Nashikcell 4870005083

distance 0.324

#6 · Nashikcell 4870006547

distance 0.332

#7 · Nashikcell 4870004961

distance 0.333

#8 · Nashikcell 4870004813

distance 0.336

#9 · Nashikcell 4870006108

distance 0.34

#10 · Nashikcell 4870005821

distance 0.342

#11 · Nashikcell 4870004957

distance 0.342

#12 · Nashikcell 4870004945

distance 0.344

#13 · Nashikcell 4870005827

distance 0.345

#14 · Nashikcell 4870005689

distance 0.347

#15 · Nashikcell 4870004802

distance 0.352

#16 · Sataracell 4940001639

distance 0.356 · cross-district

#17 · Nashikcell 4870007445

distance 0.356

#18 · Nashikcell 4870005531

distance 0.357

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":4870004666}}}'

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.