Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870003366
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.282
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870003224
distance 0.282
#2 · Nashikcell 4870003101
distance 0.282
#3 · Nashikcell 4870002253
distance 0.304
#4 · Nashikcell 4870003367
distance 0.31
#5 · Kolhapurcell 4800004968
distance 0.447 · cross-district
#6 · Ahmednagarcell 4660005238
distance 0.461 · cross-district
#7 · Ahmednagarcell 4660010566
distance 0.471 · cross-district
#8 · Nashikcell 4870003362
distance 0.472
#9 · Nashikcell 4870003640
distance 0.479
#10 · Nashikcell 4870003354
distance 0.481
#11 · Punecell 4900006379
distance 0.481 · cross-district
#12 · Laturcell 4810003365
distance 0.482 · cross-district
#13 · Nashikcell 4870002973
distance 0.493
#14 · Nashikcell 4870002974
distance 0.498
#15 · Punecell 4900012632
distance 0.503 · cross-district
#16 · Nashikcell 4870001625
distance 0.506
#17 · Nashikcell 4870002261
distance 0.511
#18 · Nashikcell 4870004081
distance 0.513
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":4870003366}}}'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.