Bhārata Strata · Maharashtra · Dhule · morphological twins

Places like cell 4740003005

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

0.2

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740003003

distance 0.2

#2 · Dhulecell 4740000415

distance 0.201

#3 · Dhulecell 4740001803

distance 0.203

#4 · Dhulecell 4740003094

distance 0.208

#5 · Dhulecell 4740002810

distance 0.21

#6 · Dhulecell 4740003004

distance 0.217

#7 · Dhulecell 4740003080

distance 0.219

#8 · Dhulecell 4740002202

distance 0.219

#9 · Dhulecell 4740003002

distance 0.22

#10 · Dhulecell 4740001591

distance 0.221

#11 · Nashikcell 4870012354

distance 0.221 · cross-district

#12 · Dhulecell 4740000297

distance 0.223

#13 · Dhulecell 4740000661

distance 0.223

#14 · Dhulecell 4740001802

distance 0.224

#15 · Dhulecell 4740000754

distance 0.224

#16 · Nashikcell 4870013044

distance 0.225 · cross-district

#17 · Dhulecell 4740000527

distance 0.225

#18 · Dhulecell 4740002004

distance 0.228

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":4740003005}}}'

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.