Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012698
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.175
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870012467
distance 0.175
#2 · Nashikcell 4870012288
distance 0.224
#3 · Nashikcell 4870012756
distance 0.256
#4 · Nashikcell 4870012830
distance 0.257
#5 · Nashikcell 4870012453
distance 0.273
#6 · Nashikcell 4870011881
distance 0.299
#7 · Nashikcell 4870011643
distance 0.303
#8 · Dhulecell 4740000908
distance 0.306 · cross-district
#9 · Nashikcell 4870013063
distance 0.306
#10 · Dhulecell 4740001322
distance 0.313 · cross-district
#11 · Dhulecell 4740001204
distance 0.329 · cross-district
#12 · Nashikcell 4870012988
distance 0.33
#13 · Dhulecell 4740001119
distance 0.33 · cross-district
#14 · Dhulecell 4740001211
distance 0.332 · cross-district
#15 · Nashikcell 4870006868
distance 0.332
#16 · Nandurbarcell 4860000047
distance 0.336 · cross-district
#17 · Dhulecell 4740001721
distance 0.34 · cross-district
#18 · Nashikcell 4870007009
distance 0.342
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":4870012698}}}'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.