Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850005597

The MH-36 locality cells most similar to this Nanded 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 8 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.235

lower = more alike (weighted)

The twins, closest first

#1 · Yavatmalcell 5000001323

distance 0.235 · cross-district

#2 · Yavatmalcell 5000001374

distance 0.241 · cross-district

#3 · Hingolicell 4770002817

distance 0.247 · cross-district

#4 · Akolacell 4670000462

distance 0.254 · cross-district

#5 · Hingolicell 4770002468

distance 0.254 · cross-district

#6 · Gadchirolicell 4750000001

distance 0.268 · cross-district

#7 · Hingolicell 4770003051

distance 0.276 · cross-district

#8 · Dharashivcell 4880000640

distance 0.279 · cross-district

#9 · Yavatmalcell 5000000988

distance 0.281 · cross-district

#10 · Gadchirolicell 4750001627

distance 0.281 · cross-district

#11 · Hingolicell 4770003130

distance 0.282 · cross-district

#12 · Hingolicell 4770002972

distance 0.286 · cross-district

#13 · Yavatmalcell 5000001906

distance 0.289 · cross-district

#14 · Yavatmalcell 5000001378

distance 0.289 · cross-district

#15 · Punecell 4900003629

distance 0.291 · cross-district

#16 · Solapurcell 4960010980

distance 0.294 · cross-district

#17 · Beedcell 4700007633

distance 0.296 · cross-district

#18 · Gadchirolicell 4750000927

distance 0.297 · 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":485,"cluster_id":4850005597}}}'

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.