Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970000660

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

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.23

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970000732

distance 0.23

#2 · Thanecell 4970000733

distance 0.337

#3 · Thanecell 4970000731

distance 0.392

#4 · Thanecell 4970000880

distance 0.426

#5 · Thanecell 4970000354

distance 0.441

#6 · Thanecell 4970000661

distance 0.447

#7 · Thanecell 4970000879

distance 0.483

#8 · Thanecell 4970000298

distance 0.509

#9 · Thanecell 4970000729

distance 0.54

#10 · Thanecell 4970001310

distance 0.611

#11 · Thanecell 4970000353

distance 0.62

#12 · Thanecell 4970000332

distance 0.632

#13 · Thanecell 4970001391

distance 0.636

#14 · Punecell 4900007687

distance 0.652 · cross-district

#15 · Thanecell 4970001309

distance 0.671

#16 · Thanecell 4970000642

distance 0.674

#17 · Punecell 4900006103

distance 0.676 · cross-district

#18 · Thanecell 4970000450

distance 0.689

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":4970000660}}}'

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.