Bhārata Strata · Maharashtra · Dhule · morphological twins

Places like cell 4740000566

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

0.047

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740000646

distance 0.047

#2 · Dhulecell 4740000466

distance 0.096

#3 · Dhulecell 4740000737

distance 0.111

#4 · Nashikcell 4870013435

distance 0.12 · cross-district

#5 · Dhulecell 4740000513

distance 0.128

#6 · Dhulecell 4740000736

distance 0.13

#7 · Dhulecell 4740000650

distance 0.134

#8 · Dhulecell 4740000648

distance 0.147

#9 · Dhulecell 4740000832

distance 0.162

#10 · Dhulecell 4740000649

distance 0.163

#11 · Dhulecell 4740004989

distance 0.166

#12 · Dhulecell 4740004924

distance 0.168

#13 · Beedcell 4700004068

distance 0.176 · cross-district

#14 · Dhulecell 4740004992

distance 0.177

#15 · Dhulecell 4740000734

distance 0.178

#16 · Dhulecell 4740005067

distance 0.179

#17 · Dhulecell 4740000730

distance 0.183

#18 · Dhulecell 4740005126

distance 0.183

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":4740000566}}}'

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.