Bhārata Strata · Maharashtra · Dhule · morphological twins

Places like cell 4740001021

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.17

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740001344

distance 0.17

#2 · Dhulecell 4740003307

distance 0.18

#3 · Dhulecell 4740002167

distance 0.201

#4 · Dhulecell 4740002671

distance 0.213

#5 · Dhulecell 4740001765

distance 0.218

#6 · Dhulecell 4740001538

distance 0.226

#7 · Dhulecell 4740001451

distance 0.228

#8 · Dhulecell 4740000274

distance 0.232

#9 · Dhulecell 4740002272

distance 0.232

#10 · Dhulecell 4740001961

distance 0.232

#11 · Nashikcell 4870007531

distance 0.24 · cross-district

#12 · Dhulecell 4740003150

distance 0.244

#13 · Dhulecell 4740001644

distance 0.245

#14 · Beedcell 4700001718

distance 0.245 · cross-district

#15 · Dhulecell 4740000918

distance 0.246

#16 · Dhulecell 4740002764

distance 0.247

#17 · Dhulecell 4740002157

distance 0.249

#18 · Dhulecell 4740001552

distance 0.25

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":4740001021}}}'

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.