Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800003731

The MH-36 locality cells most similar to this Kolhapur 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 10 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.352

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660003981

distance 0.352 · cross-district

#2 · Punecell 4900004990

distance 0.427 · cross-district

#3 · Nashikcell 4870013144

distance 0.43 · cross-district

#4 · Beedcell 4700001022

distance 0.437 · cross-district

#5 · Punecell 4900001716

distance 0.453 · cross-district

#6 · Sataracell 4940007909

distance 0.457 · cross-district

#7 · Beedcell 4700006402

distance 0.458 · cross-district

#8 · Punecell 4900003900

distance 0.463 · cross-district

#9 · Akolacell 4670000505

distance 0.467 · cross-district

#10 · Punecell 4900004987

distance 0.47 · cross-district

#11 · Nashikcell 4870002721

distance 0.476 · cross-district

#12 · Ahmednagarcell 4660012173

distance 0.484 · cross-district

#13 · Sanglicell 4930000124

distance 0.487 · cross-district

#14 · Solapurcell 4960004849

distance 0.488 · cross-district

#15 · Sanglicell 4930002370

distance 0.496 · cross-district

#16 · Nashikcell 4870006281

distance 0.498 · cross-district

#17 · Amravaticell 4680003089

distance 0.499 · cross-district

#18 · Chhatrapati Sambhajinagarcell 4690003317

distance 0.499 · 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":480,"cluster_id":4800003731}}}'

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.