Bhārata Strata · Maharashtra · Gondia · morphological twins

Places like cell 4760004313

The MH-36 locality cells most similar to this Gondia 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 12 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.351

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790002672

distance 0.351 · cross-district

#2 · Bhandaracell 4710002443

distance 0.37 · cross-district

#3 · Solapurcell 4960003473

distance 0.379 · cross-district

#4 · Gondiacell 4760004314

distance 0.398

#5 · Chhatrapati Sambhajinagarcell 4690001118

distance 0.402 · cross-district

#6 · Yavatmalcell 5000009732

distance 0.404 · cross-district

#7 · Chandrapurcell 4730008440

distance 0.412 · cross-district

#8 · Nagpurcell 4840002666

distance 0.417 · cross-district

#9 · Jalgaoncell 4780007774

distance 0.42 · cross-district

#10 · Parbhanicell 4890004267

distance 0.423 · cross-district

#11 · Yavatmalcell 5000011261

distance 0.424 · cross-district

#12 · Yavatmalcell 5000010832

distance 0.424 · cross-district

#13 · Buldhanacell 4720007503

distance 0.426 · cross-district

#14 · Washimcell 4990000567

distance 0.427 · cross-district

#15 · Buldhanacell 4720005899

distance 0.431 · cross-district

#16 · Parbhanicell 4890004988

distance 0.434 · cross-district

#17 · Bhandaracell 4710001855

distance 0.436 · cross-district

#18 · Jalgaoncell 4780004496

distance 0.437 · cross-district

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":476,"cluster_id":4760004313}}}'

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.