Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008591
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 6 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.219
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008445
distance 0.219
#2 · Nashikcell 4870009297
distance 0.237
#3 · Nashikcell 4870010739
distance 0.276
#4 · Kolhapurcell 4800001050
distance 0.307 · cross-district
#5 · Nashikcell 4870009014
distance 0.307
#6 · Nandurbarcell 4860000251
distance 0.313 · cross-district
#7 · Nashikcell 4870010496
distance 0.315
#8 · Nashikcell 4870009007
distance 0.316
#9 · Nashikcell 4870010621
distance 0.319
#10 · Nashikcell 4870011607
distance 0.327
#11 · Sataracell 4940001486
distance 0.327 · cross-district
#12 · Nandurbarcell 4860000280
distance 0.327 · cross-district
#13 · Nashikcell 4870010226
distance 0.329
#14 · Yavatmalcell 5000000176
distance 0.329 · cross-district
#15 · Nashikcell 4870010871
distance 0.332
#16 · Nashikcell 4870008877
distance 0.333
#17 · Palgharcell 6650002772
distance 0.338 · cross-district
#18 · Nashikcell 4870009826
distance 0.34
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":4870008591}}}'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.