Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970001985

The MH-36 locality cells most similar to this Thane 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

0.175

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970002634

distance 0.175

#2 · Thanecell 4970001984

distance 0.197

#3 · Thanecell 4970002068

distance 0.206

#4 · Thanecell 4970001703

distance 0.218

#5 · Thanecell 4970001986

distance 0.218

#6 · Thanecell 4970001976

distance 0.221

#7 · Thanecell 4970002806

distance 0.229

#8 · Thanecell 4970002427

distance 0.23

#9 · Thanecell 4970002358

distance 0.239

#10 · Thanecell 4970002066

distance 0.239

#11 · Mumbai Suburbancell 4830000246

distance 0.248 · cross-district

#12 · Thanecell 4970002429

distance 0.248

#13 · Thanecell 4970001978

distance 0.25

#14 · Thanecell 4970002501

distance 0.261

#15 · Thanecell 4970002207

distance 0.263

#16 · Thanecell 4970002350

distance 0.264

#17 · Thanecell 4970002362

distance 0.269

#18 · Thanecell 4970001967

distance 0.274

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":497,"cluster_id":4970001985}}}'

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.