Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870005762

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 1 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.086

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870006338

distance 0.086

#2 · Nashikcell 4870005761

distance 0.104

#3 · Nashikcell 4870006045

distance 0.114

#4 · Nashikcell 4870005765

distance 0.122

#5 · Nashikcell 4870005611

distance 0.132

#6 · Nashikcell 4870006049

distance 0.135

#7 · Nashikcell 4870005618

distance 0.138

#8 · Nashikcell 4870005907

distance 0.144

#9 · Nashikcell 4870005610

distance 0.145

#10 · Nashikcell 4870005179

distance 0.149

#11 · Nashikcell 4870005466

distance 0.151

#12 · Nashikcell 4870006056

distance 0.152

#13 · Nashikcell 4870005609

distance 0.152

#14 · Nashikcell 4870005464

distance 0.154

#15 · Nashikcell 4870006196

distance 0.157

#16 · Nashikcell 4870005319

distance 0.158

#17 · Nashikcell 4870005465

distance 0.161

#18 · Nashikcell 4870006335

distance 0.161

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":4870005762}}}'

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.