Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870000849

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 8 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.368

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930005954

distance 0.368 · cross-district

#2 · Ahmednagarcell 4660002436

distance 0.371 · cross-district

#3 · Ahmednagarcell 4660002532

distance 0.375 · cross-district

#4 · Ahmednagarcell 4660004000

distance 0.39 · cross-district

#5 · Sanglicell 4930006090

distance 0.401 · cross-district

#6 · Chhatrapati Sambhajinagarcell 4690002572

distance 0.403 · cross-district

#7 · Akolacell 4670000591

distance 0.404 · cross-district

#8 · Sataracell 4940003716

distance 0.408 · cross-district

#9 · Ahmednagarcell 4660013184

distance 0.414 · cross-district

#10 · Ahmednagarcell 4660004456

distance 0.416 · cross-district

#11 · Ahmednagarcell 4660014250

distance 0.416 · cross-district

#12 · Nashikcell 4870001987

distance 0.423

#13 · Solapurcell 4960012204

distance 0.425 · cross-district

#14 · Punecell 4900001099

distance 0.431 · cross-district

#15 · Ahmednagarcell 4660003022

distance 0.435 · cross-district

#16 · Punecell 4900009616

distance 0.442 · cross-district

#17 · Solapurcell 4960005609

distance 0.445 · cross-district

#18 · Punecell 4900000483

distance 0.449 · 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":4870000849}}}'

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.