Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970000700

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

0.263

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970001753

distance 0.263

#2 · Thanecell 4970000488

distance 0.278

#3 · Thanecell 4970001010

distance 0.291

#4 · Thanecell 4970000319

distance 0.3

#5 · Thanecell 4970000699

distance 0.303

#6 · Thanecell 4970001667

distance 0.304

#7 · Thanecell 4970001347

distance 0.317

#8 · Punecell 4900010489

distance 0.351 · cross-district

#9 · Thanecell 4970001759

distance 0.353

#10 · Thanecell 4970001830

distance 0.36

#11 · Thanecell 4970000623

distance 0.369

#12 · Thanecell 4970001490

distance 0.369

#13 · Thanecell 4970001891

distance 0.375

#14 · Thanecell 4970001278

distance 0.381

#15 · Thanecell 4970001428

distance 0.383

#16 · Thanecell 4970000428

distance 0.384

#17 · Thanecell 4970000832

distance 0.389

#18 · Punecell 4900010483

distance 0.39 · cross-district

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":4970000700}}}'

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.