Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008359
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.2
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008655
distance 0.2
#2 · Nashikcell 4870008654
distance 0.27
#3 · Nashikcell 4870009344
distance 0.361
#4 · Nandurbarcell 4860004382
distance 0.368 · cross-district
#5 · Akolacell 4670004653
distance 0.37 · cross-district
#6 · Nashikcell 4870008209
distance 0.383
#7 · Sataracell 4940000895
distance 0.387 · cross-district
#8 · Nashikcell 4870008511
distance 0.406
#9 · Nashikcell 4870008620
distance 0.414
#10 · Ahmednagarcell 4660010526
distance 0.416 · cross-district
#11 · Nashikcell 4870008484
distance 0.417
#12 · Nashikcell 4870008501
distance 0.423
#13 · Nashikcell 4870009343
distance 0.424
#14 · Nashikcell 4870008685
distance 0.429
#15 · Ahmednagarcell 4660011501
distance 0.43 · cross-district
#16 · Nashikcell 4870012109
distance 0.431
#17 · Nashikcell 4870011415
distance 0.431
#18 · Sataracell 4940006058
distance 0.431 · 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":4870008359}}}'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.