Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800005704

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 6 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.306

lower = more alike (weighted)

The twins, closest first

#1 · Kolhapurcell 4800004591

distance 0.306

#2 · Ahmednagarcell 4660013518

distance 0.313 · cross-district

#3 · Sanglicell 4930006001

distance 0.328 · cross-district

#4 · Chhatrapati Sambhajinagarcell 4690006872

distance 0.338 · cross-district

#5 · Ahmednagarcell 4660014388

distance 0.338 · cross-district

#6 · Jalgaoncell 4780000384

distance 0.344 · cross-district

#7 · Kolhapurcell 4800005030

distance 0.356

#8 · Ahmednagarcell 4660012502

distance 0.357 · cross-district

#9 · Kolhapurcell 4800005625

distance 0.359

#10 · Chhatrapati Sambhajinagarcell 4690005038

distance 0.368 · cross-district

#11 · Chhatrapati Sambhajinagarcell 4690007842

distance 0.369 · cross-district

#12 · Kolhapurcell 4800005029

distance 0.375

#13 · Ahmednagarcell 4660014325

distance 0.38 · cross-district

#14 · Sanglicell 4930003726

distance 0.383 · cross-district

#15 · Jalgaoncell 4780000293

distance 0.386 · cross-district

#16 · Ahmednagarcell 4660014346

distance 0.388 · cross-district

#17 · Gadchirolicell 4750011772

distance 0.389 · cross-district

#18 · Jalgaoncell 4780000675

distance 0.39 · 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":4800005704}}}'

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.