Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850002209

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 11 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.283

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660011416

distance 0.283 · cross-district

#2 · Nagpurcell 4840004387

distance 0.283 · cross-district

#3 · Punecell 4900005780

distance 0.311 · cross-district

#4 · Yavatmalcell 5000005871

distance 0.315 · cross-district

#5 · Laturcell 4810000110

distance 0.317 · cross-district

#6 · Jalnacell 4790001872

distance 0.318 · cross-district

#7 · Dharashivcell 4880000811

distance 0.318 · cross-district

#8 · Dharashivcell 4880000144

distance 0.321 · cross-district

#9 · Gadchirolicell 4750003241

distance 0.327 · cross-district

#10 · Dharashivcell 4880000635

distance 0.329 · cross-district

#11 · Ahmednagarcell 4660009398

distance 0.338 · cross-district

#12 · Buldhanacell 4720006553

distance 0.344 · cross-district

#13 · Parbhanicell 4890000960

distance 0.344 · cross-district

#14 · Buldhanacell 4720006208

distance 0.345 · cross-district

#15 · Nagpurcell 4840005338

distance 0.347 · cross-district

#16 · Laturcell 4810000267

distance 0.347 · cross-district

#17 · Parbhanicell 4890004936

distance 0.347 · cross-district

#18 · Nashikcell 4870007245

distance 0.349 · 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":4850002209}}}'

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.