Bhārata Strata · Maharashtra · Nanded · morphological twins

Places like cell 4850004807

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

0.116

lower = more alike (weighted)

The twins, closest first

#1 · Nandedcell 4850004808

distance 0.116

#2 · Nandedcell 4850005943

distance 0.159

#3 · Nandedcell 4850005069

distance 0.168

#4 · Nandedcell 4850005157

distance 0.177

#5 · Nandedcell 4850005551

distance 0.177

#6 · Nandedcell 4850004882

distance 0.197

#7 · Nandedcell 4850005353

distance 0.198

#8 · Nandedcell 4850005553

distance 0.201

#9 · Nandedcell 4850004872

distance 0.211

#10 · Nandedcell 4850004827

distance 0.215

#11 · Nandedcell 4850005786

distance 0.217

#12 · Nandedcell 4850004751

distance 0.222

#13 · Nandedcell 4850004944

distance 0.224

#14 · Nandedcell 4850006282

distance 0.225

#15 · Nandedcell 4850005156

distance 0.226

#16 · Nandedcell 4850006016

distance 0.227

#17 · Nandedcell 4850005476

distance 0.231

#18 · Nandedcell 4850005151

distance 0.233

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":4850004807}}}'

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.