Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800000585

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

0.243

lower = more alike (weighted)

The twins, closest first

#1 · Kolhapurcell 4800000917

distance 0.243

#2 · Beedcell 4700005787

distance 0.294 · cross-district

#3 · Ratnagiricell 4920005067

distance 0.328 · cross-district

#4 · Ahmednagarcell 4660001672

distance 0.337 · cross-district

#5 · Chhatrapati Sambhajinagarcell 4690004613

distance 0.338 · cross-district

#6 · Parbhanicell 4890002712

distance 0.338 · cross-district

#7 · Nashikcell 4870000486

distance 0.34 · cross-district

#8 · Nashikcell 4870004060

distance 0.342 · cross-district

#9 · Sataracell 4940007294

distance 0.346 · cross-district

#10 · Parbhanicell 4890002630

distance 0.347 · cross-district

#11 · Nashikcell 4870002825

distance 0.348 · cross-district

#12 · Parbhanicell 4890002628

distance 0.348 · cross-district

#13 · Nashikcell 4870000560

distance 0.349 · cross-district

#14 · Parbhanicell 4890002800

distance 0.355 · cross-district

#15 · Beedcell 4700007285

distance 0.356 · cross-district

#16 · Ahmednagarcell 4660011790

distance 0.358 · cross-district

#17 · Ahmednagarcell 4660004373

distance 0.358 · cross-district

#18 · Beedcell 4700009043

distance 0.358 · 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":4800000585}}}'

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.