Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002831
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
18
across 5 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.295
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870002607
distance 0.295
#2 · Nashikcell 4870002959
distance 0.419
#3 · Sataracell 4940004701
distance 0.479 · cross-district
#4 · Nashikcell 4870002414
distance 0.482
#5 · Nashikcell 4870003232
distance 0.495
#6 · Nashikcell 4870002415
distance 0.509
#7 · Nashikcell 4870002413
distance 0.536
#8 · Nashikcell 4870002962
distance 0.541
#9 · Nashikcell 4870002833
distance 0.554
#10 · Ahmednagarcell 4660012305
distance 0.556 · cross-district
#11 · Nashikcell 4870002505
distance 0.572
#12 · Ahmednagarcell 4660005690
distance 0.572 · cross-district
#13 · Nagpurcell 4840004275
distance 0.575 · cross-district
#14 · Nashikcell 4870003233
distance 0.578
#15 · Nashikcell 4870003094
distance 0.586
#16 · Nashikcell 4870001466
distance 0.591
#17 · Nashikcell 4870002722
distance 0.604
#18 · Chhatrapati Sambhajinagarcell 4690002805
distance 0.616 · 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":4870002831}}}'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.