Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970001405

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

0.31

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970001144

distance 0.31

#2 · Thanecell 4970000153

distance 0.496

#3 · Thanecell 4970001484

distance 0.506

#4 · Raigadcell 4910005787

distance 0.507 · cross-district

#5 · Thanecell 4970000479

distance 0.51

#6 · Thanecell 4970000890

distance 0.527

#7 · Thanecell 4970000123

distance 0.528

#8 · Thanecell 4970001237

distance 0.537

#9 · Thanecell 4970001556

distance 0.55

#10 · Thanecell 4970000244

distance 0.556

#11 · Thanecell 4970001629

distance 0.559

#12 · Thanecell 4970001553

distance 0.562

#13 · Thanecell 4970001500

distance 0.566

#14 · Thanecell 4970001479

distance 0.571

#15 · Thanecell 4970000969

distance 0.573

#16 · Raigadcell 4910005899

distance 0.579 · cross-district

#17 · Thanecell 4970000889

distance 0.589

#18 · Thanecell 4970000470

distance 0.59

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":4970001405}}}'

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.