Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870001634

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.065

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870001539

distance 0.065

#2 · Nashikcell 4870001537

distance 0.071

#3 · Nashikcell 4870001536

distance 0.081

#4 · Nashikcell 4870001441

distance 0.083

#5 · Nashikcell 4870001631

distance 0.091

#6 · Nashikcell 4870001440

distance 0.133

#7 · Nashikcell 4870001909

distance 0.172

#8 · Nashikcell 4870001347

distance 0.181

#9 · Nashikcell 4870001908

distance 0.187

#10 · Nashikcell 4870001534

distance 0.207

#11 · Nashikcell 4870001635

distance 0.218

#12 · Nashikcell 4870001535

distance 0.226

#13 · Nashikcell 4870001349

distance 0.241

#14 · Nashikcell 4870001538

distance 0.242

#15 · Nashikcell 4870001350

distance 0.251

#16 · Nashikcell 4870001348

distance 0.256

#17 · Nashikcell 4870001818

distance 0.265

#18 · Nashikcell 4870001728

distance 0.269

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":4870001634}}}'

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.