Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870003621
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 1 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.224
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870002575
distance 0.224
#2 · Nashikcell 4870003762
distance 0.231
#3 · Nashikcell 4870003202
distance 0.243
#4 · Nashikcell 4870001887
distance 0.25
#5 · Nashikcell 4870002396
distance 0.257
#6 · Nashikcell 4870003340
distance 0.262
#7 · Nashikcell 4870003910
distance 0.268
#8 · Nashikcell 4870000100
distance 0.271
#9 · Nashikcell 4870003622
distance 0.279
#10 · Nashikcell 4870001884
distance 0.288
#11 · Nashikcell 4870004058
distance 0.288
#12 · Nashikcell 4870000099
distance 0.29
#13 · Nashikcell 4870004485
distance 0.293
#14 · Nashikcell 4870002481
distance 0.295
#15 · Nashikcell 4870003618
distance 0.3
#16 · Nashikcell 4870002321
distance 0.3
#17 · Nashikcell 4870002391
distance 0.301
#18 · Nashikcell 4870003338
distance 0.301
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":4870003621}}}'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.