Bhārata Strata · Maharashtra · Jalgaon · morphological twins

Places like cell 4780000310

The MH-36 locality cells most similar to this Jalgaon 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 4 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.329

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870007918

distance 0.329 · cross-district

#2 · Nashikcell 4870004881

distance 0.334 · cross-district

#3 · Nashikcell 4870007491

distance 0.337 · cross-district

#4 · Nashikcell 4870006667

distance 0.34 · cross-district

#5 · Nashikcell 4870006940

distance 0.345 · cross-district

#6 · Chhatrapati Sambhajinagarcell 4690003850

distance 0.346 · cross-district

#7 · Ahmednagarcell 4660012918

distance 0.355 · cross-district

#8 · Chhatrapati Sambhajinagarcell 4690005125

distance 0.359 · cross-district

#9 · Jalgaoncell 4780000223

distance 0.361

#10 · Ahmednagarcell 4660012794

distance 0.363 · cross-district

#11 · Nashikcell 4870006914

distance 0.363 · cross-district

#12 · Ahmednagarcell 4660011872

distance 0.363 · cross-district

#13 · Nashikcell 4870007631

distance 0.366 · cross-district

#14 · Ahmednagarcell 4660012545

distance 0.367 · cross-district

#15 · Ahmednagarcell 4660011269

distance 0.375 · cross-district

#16 · Nashikcell 4870008075

distance 0.376 · cross-district

#17 · Nashikcell 4870004871

distance 0.376 · cross-district

#18 · Jalgaoncell 4780000702

distance 0.376

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":478,"cluster_id":4780000310}}}'

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.