Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850002011

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

0.1

lower = more alike (weighted)

The twins, closest first

#1 · Nandedcell 4850001847

distance 0.1

#2 · Nandedcell 4850001929

distance 0.101

#3 · Nandedcell 4850002102

distance 0.119

#4 · Nandedcell 4850001913

distance 0.147

#5 · Nandedcell 4850001546

distance 0.149

#6 · Nandedcell 4850001628

distance 0.153

#7 · Nandedcell 4850000934

distance 0.154

#8 · Nandedcell 4850001161

distance 0.158

#9 · Nandedcell 4850001843

distance 0.165

#10 · Nandedcell 4850000935

distance 0.175

#11 · Nandedcell 4850002182

distance 0.178

#12 · Nandedcell 4850002183

distance 0.179

#13 · Nandedcell 4850001407

distance 0.18

#14 · Nandedcell 4850001330

distance 0.189

#15 · Nandedcell 4850001216

distance 0.2

#16 · Nandedcell 4850001541

distance 0.2

#17 · Parbhanicell 4890000219

distance 0.203 · cross-district

#18 · Nandedcell 4850001697

distance 0.204

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":4850002011}}}'

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.