Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870001647

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

0.225

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870001833

distance 0.225

#2 · Nashikcell 4870000232

distance 0.228

#3 · Nashikcell 4870001361

distance 0.254

#4 · Nashikcell 4870000397

distance 0.256

#5 · Nashikcell 4870000736

distance 0.263

#6 · Nashikcell 4870001185

distance 0.273

#7 · Nashikcell 4870004507

distance 0.274

#8 · Nashikcell 4870001834

distance 0.277

#9 · Nashikcell 4870001741

distance 0.279

#10 · Nashikcell 4870001935

distance 0.282

#11 · Nashikcell 4870000233

distance 0.284

#12 · Nashikcell 4870000818

distance 0.293

#13 · Nashikcell 4870000748

distance 0.295

#14 · Nashikcell 4870001192

distance 0.302

#15 · Nashikcell 4870000236

distance 0.303

#16 · Nashikcell 4870002434

distance 0.304

#17 · Nashikcell 4870002276

distance 0.304

#18 · Nashikcell 4870000334

distance 0.309

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":4870001647}}}'

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.