Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870007433
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 1 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.198
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870007719
distance 0.198
#2 · Nashikcell 4870007431
distance 0.206
#3 · Nashikcell 4870006858
distance 0.228
#4 · Nashikcell 4870006552
distance 0.229
#5 · Nashikcell 4870006852
distance 0.25
#6 · Nashikcell 4870006550
distance 0.252
#7 · Nashikcell 4870007864
distance 0.254
#8 · Nashikcell 4870004803
distance 0.258
#9 · Nashikcell 4870006250
distance 0.26
#10 · Nashikcell 4870005689
distance 0.269
#11 · Nashikcell 4870006706
distance 0.274
#12 · Nashikcell 4870006405
distance 0.277
#13 · Nashikcell 4870006410
distance 0.29
#14 · Nashikcell 4870005827
distance 0.29
#15 · Nashikcell 4870007579
distance 0.293
#16 · Nashikcell 4870007005
distance 0.294
#17 · Nashikcell 4870005382
distance 0.294
#18 · Nashikcell 4870006548
distance 0.3
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":4870007433}}}'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.