Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800004802

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 11 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.328

lower = more alike (weighted)

The twins, closest first

#1 · Kolhapurcell 4800005142

distance 0.328

#2 · Chhatrapati Sambhajinagarcell 4690001431

distance 0.34 · cross-district

#3 · Buldhanacell 4720006297

distance 0.343 · cross-district

#4 · Kolhapurcell 4800004710

distance 0.357

#5 · Buldhanacell 4720005827

distance 0.378 · cross-district

#6 · Sataracell 4940008670

distance 0.379 · cross-district

#7 · Chhatrapati Sambhajinagarcell 4690003296

distance 0.388 · cross-district

#8 · Sanglicell 4930000252

distance 0.392 · cross-district

#9 · Beedcell 4700001024

distance 0.393 · cross-district

#10 · Nashikcell 4870001734

distance 0.394 · cross-district

#11 · Jalgaoncell 4780005744

distance 0.394 · cross-district

#12 · Sataracell 4940000948

distance 0.394 · cross-district

#13 · Ahmednagarcell 4660005351

distance 0.401 · cross-district

#14 · Punecell 4900001576

distance 0.402 · cross-district

#15 · Solapurcell 4960005063

distance 0.406 · cross-district

#16 · Ahmednagarcell 4660013991

distance 0.408 · cross-district

#17 · Buldhanacell 4720005828

distance 0.409 · cross-district

#18 · Solapurcell 4960006771

distance 0.409 · 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":4800004802}}}'

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.