Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870004484

The MH-36 locality cells most similar to this Nashik 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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.16

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870002820

distance 0.16

#2 · Nashikcell 4870004339

distance 0.167

#3 · Nashikcell 4870002947

distance 0.169

#4 · Nashikcell 4870003067

distance 0.184

#5 · Nashikcell 4870004332

distance 0.19

#6 · Nashikcell 4870001982

distance 0.198

#7 · Nashikcell 4870002685

distance 0.205

#8 · Nashikcell 4870004345

distance 0.206

#9 · Nashikcell 4870004490

distance 0.207

#10 · Nashikcell 4870002816

distance 0.209

#11 · Nashikcell 4870001699

distance 0.21

#12 · Nashikcell 4870003074

distance 0.21

#13 · Nashikcell 4870003766

distance 0.221

#14 · Nashikcell 4870002811

distance 0.223

#15 · Nashikcell 4870003066

distance 0.225

#16 · Nashikcell 4870004769

distance 0.227

#17 · Nashikcell 4870003617

distance 0.227

#18 · Thanecell 4970003464

distance 0.228 · 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":487,"cluster_id":4870004484}}}'

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.