Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870002649

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

0.21

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660003217

distance 0.21 · cross-district

#2 · Dhulecell 4740004395

distance 0.237 · cross-district

#3 · Nashikcell 4870002554

distance 0.243

#4 · Nashikcell 4870003857

distance 0.26

#5 · Ahmednagarcell 4660014033

distance 0.266 · cross-district

#6 · Punecell 4900003229

distance 0.284 · cross-district

#7 · Ahmednagarcell 4660014248

distance 0.285 · cross-district

#8 · Ahmednagarcell 4660004344

distance 0.285 · cross-district

#9 · Sataracell 4940000046

distance 0.29 · cross-district

#10 · Chhatrapati Sambhajinagarcell 4690002015

distance 0.296 · cross-district

#11 · Ahmednagarcell 4660014526

distance 0.297 · cross-district

#12 · Sataracell 4940000233

distance 0.299 · cross-district

#13 · Jalgaoncell 4780007774

distance 0.305 · cross-district

#14 · Jalgaoncell 4780008008

distance 0.306 · cross-district

#15 · Chhatrapati Sambhajinagarcell 4690005946

distance 0.306 · cross-district

#16 · Dharashivcell 4880003422

distance 0.314 · cross-district

#17 · Solapurcell 4960005459

distance 0.315 · cross-district

#18 · Jalgaoncell 4780007187

distance 0.316 · 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":4870002649}}}'

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.