Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870009933
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
0.1
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870009799
distance 0.1
#2 · Nashikcell 4870010061
distance 0.112
#3 · Nashikcell 4870009797
distance 0.117
#4 · Nashikcell 4870008975
distance 0.136
#5 · Nashikcell 4870009800
distance 0.138
#6 · Nashikcell 4870008832
distance 0.145
#7 · Nashikcell 4870009117
distance 0.146
#8 · Nashikcell 4870008834
distance 0.164
#9 · Nashikcell 4870008970
distance 0.165
#10 · Nashikcell 4870008692
distance 0.167
#11 · Nashikcell 4870008393
distance 0.169
#12 · Nashikcell 4870009803
distance 0.178
#13 · Nashikcell 4870008826
distance 0.179
#14 · Nashikcell 4870011576
distance 0.182
#15 · Nashikcell 4870009804
distance 0.185
#16 · Nashikcell 4870008968
distance 0.189
#17 · Nashikcell 4870008694
distance 0.2
#18 · Nashikcell 4870010321
distance 0.206
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":4870009933}}}'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.