Bhārata Strata · Maharashtra · Dhule · morphological twins

Places like cell 4740002765

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

0.129

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740002157

distance 0.129

#2 · Dhulecell 4740001240

distance 0.159

#3 · Dhulecell 4740002673

distance 0.162

#4 · Dhulecell 4740002578

distance 0.172

#5 · Dhulecell 4740001845

distance 0.183

#6 · Dhulecell 4740002671

distance 0.193

#7 · Dhulecell 4740002378

distance 0.209

#8 · Dhulecell 4740003124

distance 0.213

#9 · Dhulecell 4740002948

distance 0.219

#10 · Dhulecell 4740001765

distance 0.219

#11 · Dhulecell 4740005442

distance 0.222

#12 · Dhulecell 4740002764

distance 0.227

#13 · Ahmednagarcell 4660006011

distance 0.227 · cross-district

#14 · Dhulecell 4740002579

distance 0.23

#15 · Dhulecell 4740001028

distance 0.231

#16 · Dhulecell 4740001758

distance 0.236

#17 · Dhulecell 4740002852

distance 0.238

#18 · Dhulecell 4740001861

distance 0.239

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":4740002765}}}'

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.