Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001054
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 7 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.152
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000964
distance 0.152
#2 · Nashikcell 4870001048
distance 0.26
#3 · Nashikcell 4870001051
distance 0.261
#4 · Nashikcell 4870001052
distance 0.305
#5 · Nashikcell 4870003917
distance 0.325
#6 · Nashikcell 4870001053
distance 0.346
#7 · Nashikcell 4870007962
distance 0.359
#8 · Beedcell 4700007449
distance 0.369 · cross-district
#9 · Nashikcell 4870001235
distance 0.376
#10 · Ahmednagarcell 4660012689
distance 0.378 · cross-district
#11 · Solapurcell 4960012562
distance 0.379 · cross-district
#12 · Gondiacell 4760000541
distance 0.38 · cross-district
#13 · Nandurbarcell 4860000056
distance 0.381 · cross-district
#14 · Nashikcell 4870003916
distance 0.385
#15 · Nashikcell 4870011745
distance 0.388
#16 · Nashikcell 4870007816
distance 0.389
#17 · Nashikcell 4870007157
distance 0.39
#18 · Washimcell 4990001919
distance 0.39 · 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":4870001054}}}'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.