Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870012980

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 2 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.14

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870012684

distance 0.14

#2 · Nashikcell 4870012683

distance 0.167

#3 · Nashikcell 4870013261

distance 0.2

#4 · Dhulecell 4740000624

distance 0.204 · cross-district

#5 · Nashikcell 4870013368

distance 0.216

#6 · Nashikcell 4870012829

distance 0.22

#7 · Nashikcell 4870012085

distance 0.22

#8 · Nashikcell 4870012283

distance 0.225

#9 · Nashikcell 4870012076

distance 0.227

#10 · Nashikcell 4870013050

distance 0.233

#11 · Nashikcell 4870012899

distance 0.243

#12 · Nashikcell 4870012376

distance 0.245

#13 · Nashikcell 4870013121

distance 0.251

#14 · Nashikcell 4870011637

distance 0.253

#15 · Nashikcell 4870013265

distance 0.257

#16 · Nashikcell 4870012608

distance 0.26

#17 · Nashikcell 4870012900

distance 0.261

#18 · Nashikcell 4870012755

distance 0.264

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":4870012980}}}'

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.