Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870001365

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

0.123

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870001366

distance 0.123

#2 · Nashikcell 4870001273

distance 0.151

#3 · Nashikcell 4870001367

distance 0.161

#4 · Nashikcell 4870000344

distance 0.162

#5 · Nashikcell 4870000740

distance 0.186

#6 · Nashikcell 4870001272

distance 0.196

#7 · Nashikcell 4870001463

distance 0.201

#8 · Nashikcell 4870002359

distance 0.214

#9 · Nashikcell 4870001274

distance 0.216

#10 · Nashikcell 4870002194

distance 0.219

#11 · Nashikcell 4870001011

distance 0.237

#12 · Nashikcell 4870001281

distance 0.248

#13 · Nashikcell 4870002196

distance 0.253

#14 · Nashikcell 4870001363

distance 0.253

#15 · Nashikcell 4870001754

distance 0.255

#16 · Nashikcell 4870001845

distance 0.261

#17 · Nashikcell 4870002191

distance 0.262

#18 · Nashikcell 4870001008

distance 0.263

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":4870001365}}}'

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.