Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011016
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.215
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870010498
distance 0.215
#2 · Nashikcell 4870009979
distance 0.256
#3 · Nashikcell 4870010366
distance 0.279
#4 · Nashikcell 4870008604
distance 0.285
#5 · Nashikcell 4870001335
distance 0.316
#6 · Nashikcell 4870000511
distance 0.321
#7 · Nashikcell 4870008748
distance 0.324
#8 · Ahmednagarcell 4660013290
distance 0.341 · cross-district
#9 · Nandurbarcell 4860000299
distance 0.36 · cross-district
#10 · Nashikcell 4870000387
distance 0.363
#11 · Nashikcell 4870000635
distance 0.364
#12 · Nashikcell 4870000223
distance 0.37
#13 · Nashikcell 4870001527
distance 0.371
#14 · Kolhapurcell 4800002987
distance 0.374 · cross-district
#15 · Ahmednagarcell 4660013073
distance 0.376 · cross-district
#16 · Ahmednagarcell 4660011305
distance 0.378 · cross-district
#17 · Dhulecell 4740003804
distance 0.38 · cross-district
#18 · Nashikcell 4870000142
distance 0.381
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":4870011016}}}'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.