Bhārata Strata · Maharashtra · Wardha · morphological twins

Places like cell 4980000441

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.033

lower = more alike (weighted)

The twins, closest first

#1 · Wardhacell 4980000379

distance 0.033

#2 · Wardhacell 4980000501

distance 0.036

#3 · Wardhacell 4980000375

distance 0.042

#4 · Wardhacell 4980000277

distance 0.054

#5 · Wardhacell 4980000378

distance 0.054

#6 · Wardhacell 4980000167

distance 0.056

#7 · Wardhacell 4980000150

distance 0.058

#8 · Wardhacell 4980000889

distance 0.058

#9 · Wardhacell 4980000146

distance 0.062

#10 · Wardhacell 4980000324

distance 0.065

#11 · Wardhacell 4980000714

distance 0.066

#12 · Wardhacell 4980000327

distance 0.067

#13 · Wardhacell 4980000326

distance 0.071

#14 · Wardhacell 4980000380

distance 0.072

#15 · Wardhacell 4980000325

distance 0.073

#16 · Wardhacell 4980000323

distance 0.076

#17 · Wardhacell 4980000439

distance 0.078

#18 · Wardhacell 4980000241

distance 0.079

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":4980000441}}}'

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.