Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800001772

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 8 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.288

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660000465

distance 0.288 · cross-district

#2 · Punecell 4900008877

distance 0.291 · cross-district

#3 · Ahmednagarcell 4660004373

distance 0.295 · cross-district

#4 · Dharashivcell 4880003915

distance 0.296 · cross-district

#5 · Dharashivcell 4880003779

distance 0.297 · cross-district

#6 · Punecell 4900009203

distance 0.309 · cross-district

#7 · Ahmednagarcell 4660003216

distance 0.316 · cross-district

#8 · Sanglicell 4930007130

distance 0.316 · cross-district

#9 · Solapurcell 4960000935

distance 0.317 · cross-district

#10 · Kolhapurcell 4800001719

distance 0.324

#11 · Chhatrapati Sambhajinagarcell 4690001784

distance 0.325 · cross-district

#12 · Beedcell 4700005787

distance 0.327 · cross-district

#13 · Solapurcell 4960000137

distance 0.328 · cross-district

#14 · Beedcell 4700004698

distance 0.331 · cross-district

#15 · Dharashivcell 4880000674

distance 0.332 · cross-district

#16 · Ahmednagarcell 4660001672

distance 0.336 · cross-district

#17 · Beedcell 4700003482

distance 0.344 · cross-district

#18 · Sanglicell 4930006154

distance 0.344 · 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":4800001772}}}'

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.