Bhārata Strata · Maharashtra · Kolhapur · morphological twins

Places like cell 4800004615

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 11 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.4

lower = more alike (weighted)

The twins, closest first

#1 · Amravaticell 4680002786

distance 0.4 · cross-district

#2 · Nashikcell 4870010976

distance 0.404 · cross-district

#3 · Amravaticell 4680002685

distance 0.415 · cross-district

#4 · Jalgaoncell 4780005468

distance 0.462 · cross-district

#5 · Akolacell 4670002075

distance 0.47 · cross-district

#6 · Chandrapurcell 4730002575

distance 0.503 · cross-district

#7 · Nashikcell 4870010714

distance 0.507 · cross-district

#8 · Chhatrapati Sambhajinagarcell 4690002692

distance 0.517 · cross-district

#9 · Laturcell 4810003367

distance 0.521 · cross-district

#10 · Dhulecell 4740001185

distance 0.521 · cross-district

#11 · Solapurcell 4960004911

distance 0.526 · cross-district

#12 · Chandrapurcell 4730003046

distance 0.535 · cross-district

#13 · Solapurcell 4960004447

distance 0.536 · cross-district

#14 · Nashikcell 4870010846

distance 0.547 · cross-district

#15 · Nashikcell 4870010977

distance 0.553 · cross-district

#16 · Parbhanicell 4890002848

distance 0.558 · cross-district

#17 · Dhulecell 4740000675

distance 0.562 · cross-district

#18 · Ahmednagarcell 4660005689

distance 0.563 · 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":4800004615}}}'

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.