Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970000428

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

0.309

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970001086

distance 0.309

#2 · Thanecell 4970000319

distance 0.324

#3 · Thanecell 4970000970

distance 0.337

#4 · Thanecell 4970001892

distance 0.365

#5 · Thanecell 4970000616

distance 0.37

#6 · Thanecell 4970001891

distance 0.371

#7 · Thanecell 4970001485

distance 0.375

#8 · Thanecell 4970001346

distance 0.384

#9 · Thanecell 4970000700

distance 0.384

#10 · Thanecell 4970001236

distance 0.397

#11 · Punecell 4900007290

distance 0.403 · cross-district

#12 · Thanecell 4970001347

distance 0.408

#13 · Thanecell 4970001634

distance 0.41

#14 · Thanecell 4970000150

distance 0.413

#15 · Thanecell 4970001490

distance 0.428

#16 · Thanecell 4970001720

distance 0.43

#17 · Punecell 4900005034

distance 0.44 · cross-district

#18 · Thanecell 4970001408

distance 0.452

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":4970000428}}}'

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.