Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870007430

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.213

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870008024

distance 0.213

#2 · Nashikcell 4870007146

distance 0.232

#3 · Nashikcell 4870007579

distance 0.242

#4 · Nashikcell 4870006546

distance 0.243

#5 · Nashikcell 4870005961

distance 0.244

#6 · Nashikcell 4870005524

distance 0.252

#7 · Nashikcell 4870007292

distance 0.253

#8 · Nashikcell 4870007436

distance 0.254

#9 · Nashikcell 4870007005

distance 0.256

#10 · Nashikcell 4870006700

distance 0.259

#11 · Nashikcell 4870006999

distance 0.263

#12 · Nashikcell 4870007147

distance 0.266

#13 · Nashikcell 4870008160

distance 0.268

#14 · Nashikcell 4870005675

distance 0.272

#15 · Nashikcell 4870007865

distance 0.275

#16 · Nashikcell 4870007869

distance 0.275

#17 · Nashikcell 4870004809

distance 0.282

#18 · Nashikcell 4870007286

distance 0.287

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":4870007430}}}'

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.