Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800004174

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 12 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.382

lower = more alike (weighted)

The twins, closest first

#1 · Kolhapurcell 4800004416

distance 0.382

#2 · Solapurcell 4960005507

distance 0.386 · cross-district

#3 · Kolhapurcell 4800004339

distance 0.392

#4 · Nagpurcell 4840004836

distance 0.412 · cross-district

#5 · Amravaticell 4680001947

distance 0.413 · cross-district

#6 · Chhatrapati Sambhajinagarcell 4690003009

distance 0.416 · cross-district

#7 · Chhatrapati Sambhajinagarcell 4690002806

distance 0.421 · cross-district

#8 · Laturcell 4810002956

distance 0.431 · cross-district

#9 · Ahmednagarcell 4660009052

distance 0.435 · cross-district

#10 · Kolhapurcell 4800003537

distance 0.439

#11 · Parbhanicell 4890002758

distance 0.451 · cross-district

#12 · Punecell 4900001858

distance 0.456 · cross-district

#13 · Solapurcell 4960005301

distance 0.458 · cross-district

#14 · Chhatrapati Sambhajinagarcell 4690002799

distance 0.46 · cross-district

#15 · Nandedcell 4850004739

distance 0.463 · cross-district

#16 · Dhulecell 4740000767

distance 0.465 · cross-district

#17 · Sanglicell 4930002707

distance 0.468 · cross-district

#18 · Parbhanicell 4890003148

distance 0.468 · 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":4800004174}}}'

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.