Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850003035

The MH-36 locality cells most similar to this Nanded 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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.07

lower = more alike (weighted)

The twins, closest first

#1 · Nandedcell 4850003391

distance 0.07

#2 · Nandedcell 4850002937

distance 0.07

#3 · Nandedcell 4850002832

distance 0.074

#4 · Nandedcell 4850003632

distance 0.078

#5 · Nandedcell 4850003306

distance 0.091

#6 · Nandedcell 4850003296

distance 0.092

#7 · Nandedcell 4850002844

distance 0.094

#8 · Nandedcell 4850002936

distance 0.094

#9 · Nandedcell 4850003034

distance 0.095

#10 · Nandedcell 4850003633

distance 0.096

#11 · Akolacell 4670000722

distance 0.097 · cross-district

#12 · Nandedcell 4850003305

distance 0.097

#13 · Nandedcell 4850003288

distance 0.1

#14 · Nandedcell 4850003217

distance 0.106

#15 · Nandedcell 4850003307

distance 0.107

#16 · Nandedcell 4850003629

distance 0.108

#17 · Nandedcell 4850003381

distance 0.108

#18 · Nandedcell 4850003463

distance 0.112

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":485,"cluster_id":4850003035}}}'

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.