Bhārata Strata · Maharashtra · Nandurbar · morphological twins
Places like cell 4860003549
The MH-36 locality cells most similar to this Nandurbar 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.194
lower = more alike (weighted)
The twins, closest first
#1 · Nandurbarcell 4860003830
distance 0.194
#2 · Nandurbarcell 4860003482
distance 0.263
#3 · Nandurbarcell 4860003339
distance 0.272
#4 · Nandurbarcell 4860003616
distance 0.312
#5 · Nandurbarcell 4860003477
distance 0.313
#6 · Nandurbarcell 4860003340
distance 0.32
#7 · Nandurbarcell 4860004709
distance 0.334
#8 · Nandurbarcell 4860004810
distance 0.35
#9 · Ahmednagarcell 4660009142
distance 0.353 · cross-district
#10 · Nandurbarcell 4860003411
distance 0.364
#11 · Nandurbarcell 4860002997
distance 0.372
#12 · Nandurbarcell 4860003399
distance 0.374
#13 · Nandurbarcell 4860004733
distance 0.375
#14 · Nashikcell 4870008770
distance 0.379 · cross-district
#15 · Nandurbarcell 4860004906
distance 0.38
#16 · Nandurbarcell 4860004871
distance 0.388
#17 · Nandurbarcell 4860004843
distance 0.389
#18 · Nashikcell 4870000576
distance 0.391 · 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":486,"cluster_id":4860003549}}}'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.