Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008652
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
0.268
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870009621
distance 0.268
#2 · Nashikcell 4870008637
distance 0.299
#3 · Nashikcell 4870008342
distance 0.3
#4 · Nashikcell 4870010656
distance 0.324
#5 · Nashikcell 4870008482
distance 0.364
#6 · Amravaticell 4680008488
distance 0.366 · cross-district
#7 · Nashikcell 4870008782
distance 0.368
#8 · Nashikcell 4870011056
distance 0.371
#9 · Nashikcell 4870008778
distance 0.393
#10 · Nashikcell 4870010653
distance 0.423
#11 · Nashikcell 4870009484
distance 0.424
#12 · Nashikcell 4870010806
distance 0.434
#13 · Nandurbarcell 4860005039
distance 0.437 · cross-district
#14 · Chhatrapati Sambhajinagarcell 4690004069
distance 0.437 · cross-district
#15 · Nashikcell 4870009620
distance 0.44
#16 · Nandurbarcell 4860004792
distance 0.442 · cross-district
#17 · Nashikcell 4870008503
distance 0.444
#18 · Ahmednagarcell 4660010519
distance 0.445 · 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":4870008652}}}'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.