Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800004511

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 7 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.39

lower = more alike (weighted)

The twins, closest first

#1 · Kolhapurcell 4800005834

distance 0.39

#2 · Nagpurcell 4840002997

distance 0.42 · cross-district

#3 · Kolhapurcell 4800003942

distance 0.42

#4 · Chhatrapati Sambhajinagarcell 4690003022

distance 0.421 · cross-district

#5 · Nagpurcell 4840003862

distance 0.431 · cross-district

#6 · Ahmednagarcell 4660000710

distance 0.432 · cross-district

#7 · Ahmednagarcell 4660009949

distance 0.439 · cross-district

#8 · Nagpurcell 4840004613

distance 0.44 · cross-district

#9 · Punecell 4900001222

distance 0.449 · cross-district

#10 · Ahmednagarcell 4660011741

distance 0.463 · cross-district

#11 · Chhatrapati Sambhajinagarcell 4690003023

distance 0.466 · cross-district

#12 · Amravaticell 4680009076

distance 0.468 · cross-district

#13 · Kolhapurcell 4800005776

distance 0.472

#14 · Ahmednagarcell 4660011418

distance 0.472 · cross-district

#15 · Amravaticell 4680001835

distance 0.473 · cross-district

#16 · Laturcell 4810004996

distance 0.48 · cross-district

#17 · Chhatrapati Sambhajinagarcell 4690003017

distance 0.482 · cross-district

#18 · Nagpurcell 4840003757

distance 0.485 · 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":4800004511}}}'

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.