Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850008979

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 5 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.166

lower = more alike (weighted)

The twins, closest first

#1 · Yavatmalcell 5000010790

distance 0.166 · cross-district

#2 · Wardhacell 4980004174

distance 0.186 · cross-district

#3 · Yavatmalcell 5000003315

distance 0.188 · cross-district

#4 · Yavatmalcell 5000003306

distance 0.195 · cross-district

#5 · Yavatmalcell 5000006053

distance 0.201 · cross-district

#6 · Yavatmalcell 5000011247

distance 0.203 · cross-district

#7 · Amravaticell 4680001480

distance 0.204 · cross-district

#8 · Wardhacell 4980004498

distance 0.204 · cross-district

#9 · Wardhacell 4980002578

distance 0.206 · cross-district

#10 · Jalgaoncell 4780005674

distance 0.207 · cross-district

#11 · Yavatmalcell 5000004385

distance 0.209 · cross-district

#12 · Yavatmalcell 5000004741

distance 0.211 · cross-district

#13 · Yavatmalcell 5000010144

distance 0.211 · cross-district

#14 · Nagpurcell 4840005453

distance 0.212 · cross-district

#15 · Jalgaoncell 4780001516

distance 0.214 · cross-district

#16 · Yavatmalcell 5000004371

distance 0.217 · cross-district

#17 · Amravaticell 4680008078

distance 0.217 · cross-district

#18 · Amravaticell 4680007706

distance 0.218 · 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":4850008979}}}'

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.