Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870007033

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

0.118

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870007608

distance 0.118

#2 · Nashikcell 4870005254

distance 0.19

#3 · Nashikcell 4870005407

distance 0.19

#4 · Nashikcell 4870005994

distance 0.199

#5 · Nashikcell 4870006134

distance 0.202

#6 · Nashikcell 4870004966

distance 0.202

#7 · Nashikcell 4870005269

distance 0.206

#8 · Nashikcell 4870005116

distance 0.207

#9 · Nashikcell 4870005109

distance 0.213

#10 · Nashikcell 4870002980

distance 0.219

#11 · Nashikcell 4870006282

distance 0.221

#12 · Nashikcell 4870004969

distance 0.222

#13 · Nashikcell 4870007321

distance 0.229

#14 · Punecell 4900000271

distance 0.234 · cross-district

#15 · Nashikcell 4870006426

distance 0.234

#16 · Nashikcell 4870004555

distance 0.246

#17 · Nashikcell 4870004687

distance 0.247

#18 · Nashikcell 4870003922

distance 0.248

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":4870007033}}}'

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.