Bhārata Strata · Maharashtra · Parbhani · morphological twins

Places like cell 4890004856

The MH-36 locality cells most similar to this Parbhani 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 13 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.349

lower = more alike (weighted)

The twins, closest first

#1 · Buldhanacell 4720006623

distance 0.349 · cross-district

#2 · Nagpurcell 4840004700

distance 0.36 · cross-district

#3 · Washimcell 4990000229

distance 0.408 · cross-district

#4 · Jalnacell 4790001794

distance 0.41 · cross-district

#5 · Nashikcell 4870007389

distance 0.422 · cross-district

#6 · Dharashivcell 4880002281

distance 0.442 · cross-district

#7 · Jalgaoncell 4780005339

distance 0.451 · cross-district

#8 · Parbhanicell 4890002813

distance 0.454

#9 · Nagpurcell 4840006572

distance 0.459 · cross-district

#10 · Yavatmalcell 5000010824

distance 0.46 · cross-district

#11 · Chhatrapati Sambhajinagarcell 4690006861

distance 0.476 · cross-district

#12 · Nashikcell 4870005265

distance 0.477 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690006512

distance 0.48 · cross-district

#14 · Nashikcell 4870005266

distance 0.481 · cross-district

#15 · Akolacell 4670003948

distance 0.511 · cross-district

#16 · Sataracell 4940004882

distance 0.516 · cross-district

#17 · Punecell 4900005796

distance 0.517 · cross-district

#18 · Nashikcell 4870006780

distance 0.518 · 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":489,"cluster_id":4890004856}}}'

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.