Bhārata Strata · Maharashtra · Palghar · morphological twins

Places like cell 6650002157

The MH-36 locality cells most similar to this Palghar 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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.16

lower = more alike (weighted)

The twins, closest first

#1 · Palgharcell 6650001753

distance 0.16

#2 · Palgharcell 6650002081

distance 0.16

#3 · Palgharcell 6650002625

distance 0.17

#4 · Palgharcell 6650002627

distance 0.176

#5 · Palgharcell 6650002792

distance 0.18

#6 · Palgharcell 6650001672

distance 0.184

#7 · Palgharcell 6650002702

distance 0.186

#8 · Palgharcell 6650001382

distance 0.189

#9 · Palgharcell 6650003173

distance 0.195

#10 · Palgharcell 6650001835

distance 0.199

#11 · Palgharcell 6650001390

distance 0.2

#12 · Palgharcell 6650003477

distance 0.2

#13 · Palgharcell 6650002703

distance 0.203

#14 · Palgharcell 6650002941

distance 0.207

#15 · Palgharcell 6650002426

distance 0.212

#16 · Palgharcell 6650002549

distance 0.215

#17 · Palgharcell 6650003016

distance 0.219

#18 · Palgharcell 6650001321

distance 0.224

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":665,"cluster_id":6650002157}}}'

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.