Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000717
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000635
distance 0.12
#2 · Nashikcell 4870000562
distance 0.122
#3 · Nashikcell 4870000384
distance 0.135
#4 · Nashikcell 4870001432
distance 0.151
#5 · Nashikcell 4870000387
distance 0.154
#6 · Nashikcell 4870000885
distance 0.165
#7 · Nashikcell 4870001157
distance 0.166
#8 · Nashikcell 4870000647
distance 0.171
#9 · Nashikcell 4870001335
distance 0.179
#10 · Nashikcell 4870000447
distance 0.179
#11 · Nashikcell 4870000511
distance 0.19
#12 · Nashikcell 4870000448
distance 0.191
#13 · Nashikcell 4870000224
distance 0.192
#14 · Nashikcell 4870000388
distance 0.2
#15 · Nashikcell 4870000984
distance 0.203
#16 · Nashikcell 4870000332
distance 0.205
#17 · Nashikcell 4870000278
distance 0.21
#18 · Nashikcell 4870000279
distance 0.218
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":4870000717}}}'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.