Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800004341

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.273

lower = more alike (weighted)

The twins, closest first

#1 · Chhatrapati Sambhajinagarcell 4690000202

distance 0.273 · cross-district

#2 · Kolhapurcell 4800005776

distance 0.293

#3 · Kolhapurcell 4800005025

distance 0.296

#4 · Beedcell 4700005579

distance 0.322 · cross-district

#5 · Beedcell 4700005436

distance 0.323 · cross-district

#6 · Nandedcell 4850004735

distance 0.331 · cross-district

#7 · Kolhapurcell 4800004853

distance 0.35

#8 · Chandrapurcell 4730003457

distance 0.386 · cross-district

#9 · Chhatrapati Sambhajinagarcell 4690001886

distance 0.389 · cross-district

#10 · Laturcell 4810004996

distance 0.389 · cross-district

#11 · Kolhapurcell 4800004096

distance 0.391

#12 · Solapurcell 4960005298

distance 0.394 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690003012

distance 0.398 · cross-district

#14 · Yavatmalcell 5000009659

distance 0.399 · cross-district

#15 · Amravaticell 4680002886

distance 0.402 · cross-district

#16 · Ahmednagarcell 4660009053

distance 0.402 · cross-district

#17 · Chhatrapati Sambhajinagarcell 4690002807

distance 0.404 · cross-district

#18 · Beedcell 4700007728

distance 0.407 · 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":4800004341}}}'

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.