Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970001285

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.185

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970001531

distance 0.185

#2 · Thanecell 4970001450

distance 0.222

#3 · Thanecell 4970001016

distance 0.222

#4 · Thanecell 4970000930

distance 0.223

#5 · Thanecell 4970000780

distance 0.248

#6 · Punecell 4900013114

distance 0.254 · cross-district

#7 · Thanecell 4970001943

distance 0.255

#8 · Thanecell 4970001284

distance 0.259

#9 · Thanecell 4970001689

distance 0.26

#10 · Thanecell 4970001529

distance 0.266

#11 · Thanecell 4970001688

distance 0.27

#12 · Thanecell 4970001609

distance 0.273

#13 · Thanecell 4970001944

distance 0.273

#14 · Thanecell 4970001105

distance 0.281

#15 · Thanecell 4970001370

distance 0.288

#16 · Thanecell 4970001452

distance 0.296

#17 · Thanecell 4970001532

distance 0.3

#18 · Thanecell 4970001861

distance 0.316

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":4970001285}}}'

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.