Bhārata Strata · Maharashtra · Dhule · morphological twins

Places like cell 4740000930

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 3 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.143

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740002386

distance 0.143

#2 · Dhulecell 4740003227

distance 0.143

#3 · Dhulecell 4740002051

distance 0.15

#4 · Dhulecell 4740001749

distance 0.174

#5 · Dhulecell 4740002580

distance 0.177

#6 · Dhulecell 4740001015

distance 0.184

#7 · Dhulecell 4740001243

distance 0.202

#8 · Dhulecell 4740003163

distance 0.21

#9 · Dhulecell 4740001553

distance 0.213

#10 · Dhulecell 4740001538

distance 0.215

#11 · Dhulecell 4740002691

distance 0.217

#12 · Dhulecell 4740002377

distance 0.22

#13 · Dhulecell 4740002385

distance 0.221

#14 · Dhulecell 4740002474

distance 0.224

#15 · Dhulecell 4740001541

distance 0.226

#16 · Dhulecell 4740001855

distance 0.227

#17 · Nashikcell 4870006633

distance 0.228 · cross-district

#18 · Beedcell 4700000871

distance 0.234 · 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":474,"cluster_id":4740000930}}}'

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.