Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870011704

The MH-36 locality cells most similar to this Nashik 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 9 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.208

lower = more alike (weighted)

The twins, closest first

#1 · Dhulecell 4740000540

distance 0.208 · cross-district

#2 · Dhulecell 4740002826

distance 0.212 · cross-district

#3 · Beedcell 4700008791

distance 0.243 · cross-district

#4 · Dhulecell 4740002538

distance 0.244 · cross-district

#5 · Dhulecell 4740000202

distance 0.252 · cross-district

#6 · Ahmednagarcell 4660003861

distance 0.27 · cross-district

#7 · Jalgaoncell 4780000414

distance 0.281 · cross-district

#8 · Ahmednagarcell 4660012336

distance 0.289 · cross-district

#9 · Dhulecell 4740001577

distance 0.292 · cross-district

#10 · Dharashivcell 4880000390

distance 0.295 · cross-district

#11 · Punecell 4900005778

distance 0.299 · cross-district

#12 · Nashikcell 4870011224

distance 0.3

#13 · Chhatrapati Sambhajinagarcell 4690005037

distance 0.307 · cross-district

#14 · Ahmednagarcell 4660010399

distance 0.312 · cross-district

#15 · Laturcell 4810003672

distance 0.317 · cross-district

#16 · Ahmednagarcell 4660011256

distance 0.318 · cross-district

#17 · Laturcell 4810000506

distance 0.321 · cross-district

#18 · Chhatrapati Sambhajinagarcell 4690003839

distance 0.321 · 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":487,"cluster_id":4870011704}}}'

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.