Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870010053

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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.32

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870009374

distance 0.32

#2 · Nashikcell 4870008951

distance 0.366

#3 · Nashikcell 4870010733

distance 0.371

#4 · Nashikcell 4870009921

distance 0.386

#5 · Nashikcell 4870010440

distance 0.396

#6 · Nashikcell 4870009375

distance 0.4

#7 · Nashikcell 4870010698

distance 0.4

#8 · Nashikcell 4870008817

distance 0.404

#9 · Nashikcell 4870009519

distance 0.405

#10 · Nashikcell 4870009231

distance 0.406

#11 · Nashikcell 4870010054

distance 0.414

#12 · Nashikcell 4870009918

distance 0.414

#13 · Nashikcell 4870009239

distance 0.42

#14 · Nashikcell 4870009650

distance 0.422

#15 · Nashikcell 4870009107

distance 0.423

#16 · Nashikcell 4870008227

distance 0.426

#17 · Nashikcell 4870009784

distance 0.426

#18 · Nashikcell 4870010826

distance 0.427

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":4870010053}}}'

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.