Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870008192

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 6 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.252

lower = more alike (weighted)

The twins, closest first

#1 · Chhatrapati Sambhajinagarcell 4690002389

distance 0.252 · cross-district

#2 · Ahmednagarcell 4660009857

distance 0.258 · cross-district

#3 · Chhatrapati Sambhajinagarcell 4690004071

distance 0.275 · cross-district

#4 · Nashikcell 4870008340

distance 0.28

#5 · Sataracell 4940000401

distance 0.281 · cross-district

#6 · Jalgaoncell 4780009060

distance 0.281 · cross-district

#7 · Ahmednagarcell 4660009856

distance 0.284 · cross-district

#8 · Ahmednagarcell 4660006909

distance 0.285 · cross-district

#9 · Buldhanacell 4720008431

distance 0.289 · cross-district

#10 · Buldhanacell 4720004469

distance 0.291 · cross-district

#11 · Buldhanacell 4720008296

distance 0.291 · cross-district

#12 · Nashikcell 4870008492

distance 0.293

#13 · Jalgaoncell 4780009061

distance 0.294 · cross-district

#14 · Buldhanacell 4720008405

distance 0.296 · cross-district

#15 · Sataracell 4940006273

distance 0.297 · cross-district

#16 · Buldhanacell 4720008423

distance 0.3 · cross-district

#17 · Buldhanacell 4720008190

distance 0.301 · cross-district

#18 · Sataracell 4940005352

distance 0.302 · 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":4870008192}}}'

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.