Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000486
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 4870000783
distance 0.295
#2 · Nashikcell 4870001329
distance 0.305
#3 · Nashikcell 4870001325
distance 0.309
#4 · Nashikcell 4870001145
distance 0.311
#5 · Nashikcell 4870004060
distance 0.316
#6 · Nashikcell 4870001045
distance 0.318
#7 · Nashikcell 4870001236
distance 0.322
#8 · Nashikcell 4870001327
distance 0.323
#9 · Nashikcell 4870001049
distance 0.326
#10 · Palgharcell 6650001730
distance 0.328 · cross-district
#11 · Kolhapurcell 4800000585
distance 0.34 · cross-district
#12 · Nashikcell 4870000703
distance 0.343
#13 · Nashikcell 4870001232
distance 0.365
#14 · Nashikcell 4870000785
distance 0.368
#15 · Kolhapurcell 4800000917
distance 0.383 · cross-district
#16 · Yavatmalcell 5000000987
distance 0.384 · cross-district
#17 · Nashikcell 4870000784
distance 0.395
#18 · Ratnagiricell 4920005067
distance 0.399 · 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":4870000486}}}'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.