Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870005844

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

0.132

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870006437

distance 0.132

#2 · Nashikcell 4870005125

distance 0.241

#3 · Nashikcell 4870005707

distance 0.265

#4 · Nashikcell 4870006132

distance 0.287

#5 · Nashikcell 4870006286

distance 0.294

#6 · Nashikcell 4870007318

distance 0.303

#7 · Nashikcell 4870007317

distance 0.307

#8 · Punecell 4900001226

distance 0.308 · cross-district

#9 · Nashikcell 4870003662

distance 0.309

#10 · Nashikcell 4870007460

distance 0.313

#11 · Nashikcell 4870005995

distance 0.315

#12 · Nashikcell 4870006291

distance 0.319

#13 · Nashikcell 4870005557

distance 0.32

#14 · Nashikcell 4870005853

distance 0.32

#15 · Nashikcell 4870006141

distance 0.32

#16 · Nashikcell 4870005716

distance 0.322

#17 · Nashikcell 4870004835

distance 0.324

#18 · Nashikcell 4870006004

distance 0.325

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":4870005844}}}'

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.