Bhārata Strata · Maharashtra · Solapur · morphological twins

Places like cell 4960007804

The MH-36 locality cells most similar to this Solapur 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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.355

lower = more alike (weighted)

The twins, closest first

#1 · Amravaticell 4680002233

distance 0.355 · cross-district

#2 · Punecell 4900004145

distance 0.368 · cross-district

#3 · Chhatrapati Sambhajinagarcell 4690002796

distance 0.369 · cross-district

#4 · Kolhapurcell 4800004699

distance 0.387 · cross-district

#5 · Jalgaoncell 4780006063

distance 0.387 · cross-district

#6 · Solapurcell 4960007806

distance 0.39

#7 · Jalgaoncell 4780004695

distance 0.395 · cross-district

#8 · Nagpurcell 4840003100

distance 0.399 · cross-district

#9 · Kolhapurcell 4800005557

distance 0.401 · cross-district

#10 · Ahmednagarcell 4660005692

distance 0.409 · cross-district

#11 · Dhulecell 4740000153

distance 0.409 · cross-district

#12 · Sanglicell 4930000541

distance 0.41 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690003601

distance 0.41 · cross-district

#14 · Ahmednagarcell 4660004942

distance 0.413 · cross-district

#15 · Kolhapurcell 4800004354

distance 0.416 · cross-district

#16 · Kolhapurcell 4800004702

distance 0.42 · cross-district

#17 · Amravaticell 4680002888

distance 0.422 · cross-district

#18 · Solapurcell 4960008052

distance 0.422

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":496,"cluster_id":4960007804}}}'

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.