Bhārata Strata · Maharashtra · Wardha · morphological twins

Places like cell 4980000642

The MH-36 locality cells most similar to this Wardha 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

0.111

lower = more alike (weighted)

The twins, closest first

#1 · Wardhacell 4980000122

distance 0.111

#2 · Wardhacell 4980001362

distance 0.112

#3 · Wardhacell 4980001360

distance 0.122

#4 · Wardhacell 4980000890

distance 0.122

#5 · Wardhacell 4980001172

distance 0.122

#6 · Wardhacell 4980001454

distance 0.129

#7 · Wardhacell 4980001363

distance 0.131

#8 · Wardhacell 4980001270

distance 0.132

#9 · Wardhacell 4980002186

distance 0.135

#10 · Wardhacell 4980001469

distance 0.137

#11 · Wardhacell 4980000575

distance 0.142

#12 · Wardhacell 4980001173

distance 0.144

#13 · Wardhacell 4980000377

distance 0.145

#14 · Wardhacell 4980000887

distance 0.148

#15 · Wardhacell 4980000066

distance 0.152

#16 · Wardhacell 4980000736

distance 0.154

#17 · Wardhacell 4980000993

distance 0.155

#18 · Wardhacell 4980001178

distance 0.156

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":498,"cluster_id":4980000642}}}'

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.