Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870006813

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 3 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.06

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870006963

distance 0.06

#2 · Nashikcell 4870006355

distance 0.094

#3 · Nashikcell 4870007096

distance 0.101

#4 · Ahmednagarcell 4660011722

distance 0.112 · cross-district

#5 · Chhatrapati Sambhajinagarcell 4690002841

distance 0.112 · cross-district

#6 · Chhatrapati Sambhajinagarcell 4690005480

distance 0.112 · cross-district

#7 · Chhatrapati Sambhajinagarcell 4690002745

distance 0.112 · cross-district

#8 · Nashikcell 4870007256

distance 0.115

#9 · Chhatrapati Sambhajinagarcell 4690002644

distance 0.117 · cross-district

#10 · Chhatrapati Sambhajinagarcell 4690005378

distance 0.12 · cross-district

#11 · Nashikcell 4870006208

distance 0.122

#12 · Chhatrapati Sambhajinagarcell 4690005840

distance 0.124 · cross-district

#13 · Ahmednagarcell 4660012360

distance 0.125 · cross-district

#14 · Nashikcell 4870006644

distance 0.126

#15 · Nashikcell 4870007263

distance 0.126

#16 · Ahmednagarcell 4660010745

distance 0.127 · cross-district

#17 · Chhatrapati Sambhajinagarcell 4690005198

distance 0.128 · cross-district

#18 · Ahmednagarcell 4660010100

distance 0.129 · 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":4870006813}}}'

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.