Bhārata Strata · Maharashtra · Raigad · morphological twins

Places like cell 4910004579

The MH-36 locality cells most similar to this Raigad 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 2 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.211

lower = more alike (weighted)

The twins, closest first

#1 · Raigadcell 4910004298

distance 0.211

#2 · Raigadcell 4910004502

distance 0.251

#3 · Raigadcell 4910003600

distance 0.256

#4 · Raigadcell 4910004712

distance 0.26

#5 · Raigadcell 4910003686

distance 0.28

#6 · Raigadcell 4910004583

distance 0.291

#7 · Raigadcell 4910004460

distance 0.295

#8 · Raigadcell 4910004584

distance 0.3

#9 · Raigadcell 4910001643

distance 0.3

#10 · Raigadcell 4910004577

distance 0.301

#11 · Raigadcell 4910003599

distance 0.31

#12 · Raigadcell 4910004625

distance 0.311

#13 · Raigadcell 4910003598

distance 0.312

#14 · Raigadcell 4910004164

distance 0.313

#15 · Raigadcell 4910004296

distance 0.314

#16 · Ratnagiricell 4920005063

distance 0.315 · cross-district

#17 · Raigadcell 4910003648

distance 0.32

#18 · Raigadcell 4910003647

distance 0.323

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":491,"cluster_id":4910004579}}}'

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.