Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870006413

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

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.176

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870007014

distance 0.176

#2 · Nashikcell 4870007019

distance 0.185

#3 · Nashikcell 4870007888

distance 0.186

#4 · Nashikcell 4870007016

distance 0.196

#5 · Nashikcell 4870005096

distance 0.196

#6 · Nashikcell 4870006567

distance 0.203

#7 · Nashikcell 4870005840

distance 0.207

#8 · Nashikcell 4870005983

distance 0.215

#9 · Nashikcell 4870005101

distance 0.229

#10 · Nashikcell 4870006124

distance 0.235

#11 · Nashikcell 4870005827

distance 0.235

#12 · Nashikcell 4870006715

distance 0.237

#13 · Nashikcell 4870005246

distance 0.237

#14 · Nashikcell 4870007015

distance 0.239

#15 · Nashikcell 4870004957

distance 0.241

#16 · Nashikcell 4870006548

distance 0.241

#17 · Nashikcell 4870006415

distance 0.244

#18 · Nashikcell 4870006714

distance 0.245

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":4870006413}}}'

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.