Bhārata Strata · Maharashtra · Nagpur · morphological twins

Places like cell 4840006321

The MH-36 locality cells most similar to this Nagpur 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

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.058

lower = more alike (weighted)

The twins, closest first

#1 · Nagpurcell 4840005949

distance 0.058

#2 · Nagpurcell 4840004809

distance 0.073

#3 · Nagpurcell 4840005816

distance 0.083

#4 · Nagpurcell 4840006199

distance 0.092

#5 · Nagpurcell 4840005176

distance 0.102

#6 · Nagpurcell 4840003727

distance 0.105

#7 · Nagpurcell 4840005060

distance 0.111

#8 · Nagpurcell 4840004678

distance 0.121

#9 · Nagpurcell 4840003929

distance 0.122

#10 · Nagpurcell 4840006320

distance 0.126

#11 · Nagpurcell 4840006327

distance 0.128

#12 · Nagpurcell 4840004576

distance 0.129

#13 · Nagpurcell 4840004676

distance 0.129

#14 · Nagpurcell 4840005308

distance 0.137

#15 · Nagpurcell 4840005948

distance 0.138

#16 · Nagpurcell 4840004131

distance 0.138

#17 · Nagpurcell 4840005442

distance 0.141

#18 · Nagpurcell 4840005685

distance 0.142

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":484,"cluster_id":4840006321}}}'

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.