Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850004360

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 1 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.044

lower = more alike (weighted)

The twins, closest first

#1 · Nandedcell 4850004153

distance 0.044

#2 · Nandedcell 4850004152

distance 0.046

#3 · Nandedcell 4850004013

distance 0.048

#4 · Nandedcell 4850004008

distance 0.052

#5 · Nandedcell 4850004010

distance 0.072

#6 · Nandedcell 4850004628

distance 0.076

#7 · Nandedcell 4850004083

distance 0.076

#8 · Nandedcell 4850004206

distance 0.077

#9 · Nandedcell 4850004009

distance 0.079

#10 · Nandedcell 4850004694

distance 0.081

#11 · Nandedcell 4850003710

distance 0.085

#12 · Nandedcell 4850004154

distance 0.088

#13 · Nandedcell 4850004359

distance 0.091

#14 · Nandedcell 4850003847

distance 0.097

#15 · Nandedcell 4850004291

distance 0.098

#16 · Nandedcell 4850003701

distance 0.101

#17 · Nandedcell 4850003705

distance 0.106

#18 · Nandedcell 4850003852

distance 0.106

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":4850004360}}}'

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.