Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870007702

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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.18

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870005799

distance 0.18

#2 · Nashikcell 4870007700

distance 0.185

#3 · Nashikcell 4870007141

distance 0.188

#4 · Nashikcell 4870008134

distance 0.192

#5 · Nashikcell 4870007558

distance 0.198

#6 · Nashikcell 4870008152

distance 0.205

#7 · Nashikcell 4870007850

distance 0.206

#8 · Nashikcell 4870006981

distance 0.21

#9 · Nashikcell 4870007411

distance 0.213

#10 · Nashikcell 4870006236

distance 0.213

#11 · Nashikcell 4870006383

distance 0.215

#12 · Nashikcell 4870006394

distance 0.216

#13 · Nashikcell 4870005361

distance 0.216

#14 · Nashikcell 4870008153

distance 0.216

#15 · Nashikcell 4870007998

distance 0.22

#16 · Nashikcell 4870006087

distance 0.22

#17 · Nashikcell 4870006527

distance 0.22

#18 · Nashikcell 4870005660

distance 0.22

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":4870007702}}}'

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.