Bhārata Strata · Maharashtra · Dhule · morphological twins

Places like cell 4740002825

The MH-36 locality cells most similar to this Dhule 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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.046

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740002010

distance 0.046

#2 · Dhulecell 4740001899

distance 0.06

#3 · Dhulecell 4740002820

distance 0.089

#4 · Dhulecell 4740000041

distance 0.089

#5 · Dhulecell 4740001169

distance 0.096

#6 · Dhulecell 4740002099

distance 0.098

#7 · Dhulecell 4740000608

distance 0.107

#8 · Dhulecell 4740001893

distance 0.107

#9 · Dhulecell 4740000663

distance 0.11

#10 · Dhulecell 4740002915

distance 0.11

#11 · Nashikcell 4870012257

distance 0.111 · cross-district

#12 · Dhulecell 4740001595

distance 0.113

#13 · Nashikcell 4870011709

distance 0.113 · cross-district

#14 · Dhulecell 4740000090

distance 0.117

#15 · Dhulecell 4740001398

distance 0.12

#16 · Dhulecell 4740002013

distance 0.13

#17 · Dhulecell 4740002225

distance 0.131

#18 · Dhulecell 4740002190

distance 0.132

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":474,"cluster_id":4740002825}}}'

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.