Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970002281

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

0.174

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970002685

distance 0.174

#2 · Thanecell 4970001700

distance 0.191

#3 · Thanecell 4970001695

distance 0.195

#4 · Thanecell 4970002627

distance 0.199

#5 · Thanecell 4970002437

distance 0.207

#6 · Thanecell 4970001867

distance 0.21

#7 · Thanecell 4970002280

distance 0.212

#8 · Thanecell 4970001610

distance 0.214

#9 · Thanecell 4970001785

distance 0.218

#10 · Thanecell 4970001538

distance 0.222

#11 · Thanecell 4970002502

distance 0.223

#12 · Thanecell 4970002636

distance 0.227

#13 · Thanecell 4970000638

distance 0.233

#14 · Thanecell 4970003357

distance 0.259

#15 · Thanecell 4970002576

distance 0.262

#16 · Thanecell 4970001781

distance 0.267

#17 · Mumbai Suburbancell 4830000294

distance 0.268 · cross-district

#18 · Thanecell 4970000939

distance 0.269

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":4970002281}}}'

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.