Bhārata Strata · Maharashtra · Dhule · morphological twins

Places like cell 4740000284

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

0.12

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740001069

distance 0.12

#2 · Dhulecell 4740000603

distance 0.124

#3 · Dhulecell 4740000125

distance 0.143

#4 · Dhulecell 4740000102

distance 0.15

#5 · Nashikcell 4870010084

distance 0.151 · cross-district

#6 · Dhulecell 4740000349

distance 0.153

#7 · Dhulecell 4740000243

distance 0.159

#8 · Dhulecell 4740000359

distance 0.16

#9 · Beedcell 4700001868

distance 0.162 · cross-district

#10 · Dhulecell 4740002996

distance 0.162

#11 · Dhulecell 4740000677

distance 0.163

#12 · Dhulecell 4740000978

distance 0.168

#13 · Dhulecell 4740001070

distance 0.171

#14 · Dhulecell 4740001572

distance 0.176

#15 · Dhulecell 4740000056

distance 0.178

#16 · Dhulecell 4740001467

distance 0.18

#17 · Dhulecell 4740002086

distance 0.18

#18 · Dhulecell 4740001159

distance 0.185

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":4740000284}}}'

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.