Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870004635

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

0.141

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870005813

distance 0.141

#2 · Nashikcell 4870006096

distance 0.149

#3 · Nashikcell 4870004931

distance 0.15

#4 · Nashikcell 4870005218

distance 0.167

#5 · Nashikcell 4870004785

distance 0.172

#6 · Nashikcell 4870006101

distance 0.173

#7 · Nashikcell 4870007427

distance 0.186

#8 · Nashikcell 4870005069

distance 0.187

#9 · Nashikcell 4870006245

distance 0.2

#10 · Nashikcell 4870007709

distance 0.2

#11 · Nashikcell 4870004771

distance 0.203

#12 · Nashikcell 4870004787

distance 0.203

#13 · Nashikcell 4870004781

distance 0.21

#14 · Nashikcell 4870005206

distance 0.21

#15 · Nashikcell 4870006386

distance 0.212

#16 · Nashikcell 4870004639

distance 0.216

#17 · Nashikcell 4870005217

distance 0.216

#18 · Nashikcell 4870006393

distance 0.218

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":4870004635}}}'

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.